The authors report a reduction in transmission in households regularly disinfecting with chlorine or ethanol based agents, but what is being disinfected is quite vague. Does this include household that, for example, only use bleach in the bathroom? Was this limited to household disinfecting ALL non-porous contacted surfaces? Did this include the use of bleach on laundry? If the authors could clarify what cleaning practices this actually encompasses, that would be appreciated.
McKinn et all state in their work published in the BMJ state that drivers of antibiotic misuse in Vietnam are socio-economic than biomedical in nature (1). However, does linguistics play a role as well?
What is an antibiotic? The generally accepted definition is that an antibiotic is a drug that is used for the treatment of bacterial infections (less commonly to prevent), these agents can either kill or inhibit the growth of bacteria.
However, the term antibiotic, as opposed to an antibacterial, may denote a drug with a wider activity, an agent that is active against any “biotic”. Reading on the origin of this term, it appears that this was the original meaning of this term (2).
In a couple of recent surveys that we conducted, we identified that many people have this misconception. This was more obvious in open ended questions. In an online survey conducted in Sri Lanka, 190 (93.1%) participants out of 204 stated they knew what an antibiotic is and defined it in their own terms. However, 51 (26.8%) of this190 defined antibiotics as agents that can kill any micro-organism (3).
In the same group of people, 12 mentioned substances other than antibiotics as examples of antibiotics, including antiseptics with antibacterial properties such as povidone iodine and triclosan, a vaccine (anti-rabies vaccine), paracetamol, chlorpheniramine and cetirizine, domperidone, aspirin, insulin, saline, and plants (cannabis and “weniwelgeta”).
McKinn et all state in their work published in the BMJ state that drivers of antibiotic misuse in Vietnam are socio-economic than biomedical in nature (1). However, does linguistics play a role as well?
What is an antibiotic? The generally accepted definition is that an antibiotic is a drug that is used for the treatment of bacterial infections (less commonly to prevent), these agents can either kill or inhibit the growth of bacteria.
However, the term antibiotic, as opposed to an antibacterial, may denote a drug with a wider activity, an agent that is active against any “biotic”. Reading on the origin of this term, it appears that this was the original meaning of this term (2).
In a couple of recent surveys that we conducted, we identified that many people have this misconception. This was more obvious in open ended questions. In an online survey conducted in Sri Lanka, 190 (93.1%) participants out of 204 stated they knew what an antibiotic is and defined it in their own terms. However, 51 (26.8%) of this190 defined antibiotics as agents that can kill any micro-organism (3).
In the same group of people, 12 mentioned substances other than antibiotics as examples of antibiotics, including antiseptics with antibacterial properties such as povidone iodine and triclosan, a vaccine (anti-rabies vaccine), paracetamol, chlorpheniramine and cetirizine, domperidone, aspirin, insulin, saline, and plants (cannabis and “weniwelgeta”).
In both the above study and another survey done among a group of attendees to an out patient department in Sri lanka (4), many people believed that antibiotics can cure or speed up recovery from common cold. This was expressed by 391 out of 450 (86.9%) OPD attendees and 147 out of 204 (72.1%) in the online survey.
Has the use of the term “antibiotic” instead of “antibacterial” contributed to a confusion in understanding on the action of an antibiotic, leading to misuse of antibiotics?
References
1. McKinn S, Trinh DH, Drabarek D, Trieu TT, Nguyen PTL, Cao TH, Dang AD, Nguyen TA, Fox GJ, Bernays S. Drivers of antibiotic use in Vietnam: implications for designing community interventions. BMJ Glob Health. 2021 Jul;6(7):e005875. doi: 10.1136/bmjgh-2021-005875. PMID: 34257138.
2.Selman A. Waksman. What is an Antibiotic or an Antibiotic Substance?, Mycologia. 1947; 39:5, 565-569, DOI: 10.1080/00275514.1947.12017635
3.Priyasad I, Abeyrathna HMHGGSS, Abhayasinghe PRRMRD, Althaf KR, Amarajeea OR, Liyanapathirana LVC (2018). Knowledge, attitudes and practices related to antibiotic resistance among a cohort of internet users in Sri Lanka. The Bulletin of the Sri Lanka College of Microbiologists. Volume 16(1), 33-34. (Poster presentation)
4.Abhayasinghe PRRWMRD, Abeyrathna HMHGGSS, Amarajeewa OR, Althaf KR, Alahakoon AMAPK, Abewardhana IMAP, Alahakoon ARRP, Al-Hithaya UKF, Amarasinghe AKDAE, Dema C, Pelzom T, Liyanapathirana V. AWARENESS ON ANTIBIOTIC USE AND DRIVERS OF ANTIMICROBIAL RESISTANCE AMONG PATIENTS ATTENDING THE OUT PATIENT DEPARTMENT AT TEACHING HOSPITAL, PERADENIYA. Presented at the Annual Academic Sessions of the Kandy Society of Medicine 2020. Book of Abstracts pp 65.
Tamrakar and colleagues have undertaken a welcome, and coherent, evaluation of the completeness and representativeness of prevalence inputs for low back pain used in the Global Burden of Disease (GBD) 2017 study [1]. These types of assessments are particularly important so that users are aware of the uncertainties at each stage of the process for estimating disability-adjusted life years – and even more so for low back pain, which is consistently found to be one of the leading causes of health losses worldwide. They can assist users in appraising modelled estimates in a way that can more readily be triangulated with country-level evidence.
Issues of uncertainty and generalizability of modelled estimates mainly arise due to a paucity of data. From the perspective of burden of disease assessment this is common across many health conditions which are data sparse, and thus have to rely on modelled estimates on the occurrence and distribution of severity of cases [2]. In the case of low back pain this mainly arises because a large proportion of people do not routinely access care services to manage their symptoms, which is also common for other musculoskeletal disorders and headaches. In both the GBD and national burden of disease assessments, the reliance of secondary use of administrative data (e.g. hospital, prescriptions or GP consultation records) is not an ideal proxy.
The public health monitoring of individual health conditions has reached a watershed mome...
Tamrakar and colleagues have undertaken a welcome, and coherent, evaluation of the completeness and representativeness of prevalence inputs for low back pain used in the Global Burden of Disease (GBD) 2017 study [1]. These types of assessments are particularly important so that users are aware of the uncertainties at each stage of the process for estimating disability-adjusted life years – and even more so for low back pain, which is consistently found to be one of the leading causes of health losses worldwide. They can assist users in appraising modelled estimates in a way that can more readily be triangulated with country-level evidence.
Issues of uncertainty and generalizability of modelled estimates mainly arise due to a paucity of data. From the perspective of burden of disease assessment this is common across many health conditions which are data sparse, and thus have to rely on modelled estimates on the occurrence and distribution of severity of cases [2]. In the case of low back pain this mainly arises because a large proportion of people do not routinely access care services to manage their symptoms, which is also common for other musculoskeletal disorders and headaches. In both the GBD and national burden of disease assessments, the reliance of secondary use of administrative data (e.g. hospital, prescriptions or GP consultation records) is not an ideal proxy.
The public health monitoring of individual health conditions has reached a watershed moment with the COVID-19 pandemic. The wider harms of the pandemic have meant there have been delays, cancellations and restrictions to accessing health, and other care, services. It is expected, and has been since reported, that this will lead to increases in both the severity and occurrence of disease [3,4]. From the perspective of low back pain and other musculoskeletal disorders, there is a potential for increased, and exacerbated, short- and long-term harm in relation to occurrence and severity. The main influencing factors are related to the mass move to individuals working from home in environments that may not allow them to work ergonomically, and changes to level of physical activity, both of which are likely to have differential exposure depending on socioeconomic status.
A harmonized and generalizable approach for monitoring both the prevalence and severity of low back pain and other common, and debilitating, health conditions that are not suitably captured by routine administrative records are required to ensure we can monitor, and respond to, changing population health needs.
References:
[1] Tamrakar M, Kharel P, Traeger A, et al. Completeness and quality of low back pain prevalence data in the Global Burden of Disease Study 2017. BMJ Global Health. 2021;6:e005847.
[2] Wyper GMA, Assuncao R, Fletcher E, et al. The increasing significance of disease severity in in a burden of disease framework. Scandinavian Journal of Public Health 2021;in press.
[3] Douglas M, Katikireddi SV, Taulbut M, et al. Mitigating the wider health effects of covid-19 pandemic response. BMJ 2020;369:m1557.
[4] Niedzwiedz CL, Green MJ, Benzeval M, et al. Mental health and health behaviours before and during the initial phase of the COVID-19 lockdown: longitudinal analyses of the UK Household Longitudinal Study. Journal of Epidemiology and Community Health 2021;75:224-231.
Ranzani et al. [1] elegantly describe the research priority framework to address the deteriorating TB situation for the mainly LMIC countries of Latin America, which has relevance to other regions. Although the countries of WHO Europe have reduced the overall TB burden (by an average 5.1% annually from 2014-18), multidrug resistant TB rates (MDRTB) are persistently high with the proportion of Rifampicin-resistant and MDRTB among new (18%) and previously TB treated (54%) cases significantly exceeding the global average (3.4% and 18% respectively) [2]. The HIV situation in this region is also dire; 1.4 million people were living with HIV in Eastern Europe and Central Asia in 2017, with the two highest proportions in Russia and Ukraine [3], creating a significant TB-HIV co-infection problem where 13.1% of TB patients tested were HIV infected [2].
The COVID-19 pandemic has impacted all countries, but acutely on TB diagnostics and treatment especially in high TB burden LMICs. Recently the StopTB partnership examined the diagnosis and treatment statistics for nine countries, including Ukraine, representing 60% of the global TB burden; TB diagnosis and treatment enrolment in 2020 declined by 1 million or an average 23% in individual countries compared to 2019 [4].
The WHO leads global efforts to prioritise research (and research is a key intervention as one of the pillars of the WHO End TB Strategy) with regional variations [5,6,7]. For Eastern Europe, the global i...
Ranzani et al. [1] elegantly describe the research priority framework to address the deteriorating TB situation for the mainly LMIC countries of Latin America, which has relevance to other regions. Although the countries of WHO Europe have reduced the overall TB burden (by an average 5.1% annually from 2014-18), multidrug resistant TB rates (MDRTB) are persistently high with the proportion of Rifampicin-resistant and MDRTB among new (18%) and previously TB treated (54%) cases significantly exceeding the global average (3.4% and 18% respectively) [2]. The HIV situation in this region is also dire; 1.4 million people were living with HIV in Eastern Europe and Central Asia in 2017, with the two highest proportions in Russia and Ukraine [3], creating a significant TB-HIV co-infection problem where 13.1% of TB patients tested were HIV infected [2].
The COVID-19 pandemic has impacted all countries, but acutely on TB diagnostics and treatment especially in high TB burden LMICs. Recently the StopTB partnership examined the diagnosis and treatment statistics for nine countries, including Ukraine, representing 60% of the global TB burden; TB diagnosis and treatment enrolment in 2020 declined by 1 million or an average 23% in individual countries compared to 2019 [4].
The WHO leads global efforts to prioritise research (and research is a key intervention as one of the pillars of the WHO End TB Strategy) with regional variations [5,6,7]. For Eastern Europe, the global importance of TB and HIV is clear but carefully planned priorities, pre the COVID epidemic, might not be as relevant to clinical investigators on the ground during the pandemic.
Drawing on current and planned research priority topics within the WHO European region [2][5], to frame our questionnaire, we surveyed respiratory and infectious disease specialists in the TB and HIV field in four cities in Ukraine, Russia and Moldova, to understand whether the view on these priorities was changing due to the ongoing COVID19 epidemic. Even if the main priorities for the programmes were to remain, would the delivery objectives remain similar? A questionnaire piloted in English, Ukrainian, Russian and Moldovan was cascaded via a senior infectious disease specialist and 42 respondents completed the survey: 17 Moldova (Chisinau), 13 Ukraine (Kharkiv, Vinnytsya) and 12 Russia (Arkhangelsk).
Priorities identified within each country;: 90 to 100% of all respondents prioritised: a whole genomic sequencing or targeted DNA generation sequencing approach for TB drug susceptibility testing from TB cultures or direct from patient sputa; improving HIV community testing and/or replacement of HIV diagnosis confirmation by Western blotting to address late presentation by HIV positive patients; implementation of integrated diagnostic testing strategies for TB, HIV and viral hepatitis (including a mobile laboratory solution).
Additionally, in Moldova between 90 and 100% of respondents prioritised research on a prospective non-sputum biomarker to establish TB diagnosis of TB and to establish cure of MDRTB patients.
In Ukraine, all respondents prioritised research on the effects of internal migration due to conflict – including the healthcare needs of displaced populations. In Russia, all respondents would also pursue research on a clinical trial of short course 12 months therapy of an all oral MDRTB drug regimen.
But reflecting the current pandemic, all Russian specialists, 89% Moldovan and 77% Ukrainian also prioritised understanding effects of COVID on TB and HIV healthcare issues.
In conclusion, we report a high level of interest in understanding COVID-19 impacts on TB and HIV, but overall, a clear determination to continue the core research priorities for TB and HIV which align with WHO European regional priorities [2,4,5,6,7].
References:
[1] Ranzani, OT, Pescarini, JM, Martinez, L and Garcia-Basteiro, AL. Increasing TB burden in Latin America: an alarming trend for global control efforts. BMA Global Health 2021;6;e005639 doi10.1136/bmjgh-2021-005639.
[2] ECDC and WHO Regional Office for Europe. TB surveillance and monitoring in Europe: 2020-2018 data. ECDC Stockholm; 2020).
[7] World Health Organization. (2019). WHO recommends countries move away from the use of western blotting and line immunoassays in HIV testing strategies and algorithms: policy brief. World Health Organization. https://apps.who.int/iris/handle/10665/329915.
We have several concerns about the zinc results in this systematic review
1. Weismann et al. 1990 RCT evaluates zinc for treating, not preventing infections, yet is included in the prevention meta-analyses (Figure-6).
2. Farr et al. 1987 reports post-exposure prophylactic and treatment results for two RCTs. Which RCT was used? Why was the other ignored? Supp-Table-5 reports an incorrect sample size and MD rather than RR. The validity of combining pre- and postexposure prophylactic trials is questionable and at the very least, should be discussed.
3. Turner et al. 2000 reports two RCTs, both had 4 arms. Why was one RCT and two of the three zinc arms ignored? If these arms were included, an explanation for how the means (SDs) were combined is missing.
4. Table 3 lacks transparency as the studies used in each subgroup are not cited and often it is unclear what data was used. For example, none of the five RCTs included in the zinc prevention meta-analysis reported infection rates for males and females, yet this is reported.
5. The authors claim there was no evidence of a dose response for zinc used for treatment. Only two RCTs evaluated a dose ≤13.3mg/day. Both used intranasal sprays/gels. All other treatment studies evaluated lozenges. Comparing doses for different administration routes is clinically meaningless. All this analysis tells us is there is no difference between intranasal and sublingual adminis...
We have several concerns about the zinc results in this systematic review
1. Weismann et al. 1990 RCT evaluates zinc for treating, not preventing infections, yet is included in the prevention meta-analyses (Figure-6).
2. Farr et al. 1987 reports post-exposure prophylactic and treatment results for two RCTs. Which RCT was used? Why was the other ignored? Supp-Table-5 reports an incorrect sample size and MD rather than RR. The validity of combining pre- and postexposure prophylactic trials is questionable and at the very least, should be discussed.
3. Turner et al. 2000 reports two RCTs, both had 4 arms. Why was one RCT and two of the three zinc arms ignored? If these arms were included, an explanation for how the means (SDs) were combined is missing.
4. Table 3 lacks transparency as the studies used in each subgroup are not cited and often it is unclear what data was used. For example, none of the five RCTs included in the zinc prevention meta-analysis reported infection rates for males and females, yet this is reported.
5. The authors claim there was no evidence of a dose response for zinc used for treatment. Only two RCTs evaluated a dose ≤13.3mg/day. Both used intranasal sprays/gels. All other treatment studies evaluated lozenges. Comparing doses for different administration routes is clinically meaningless. All this analysis tells us is there is no difference between intranasal and sublingual administration routes.
6. The control lozenge used by Turner et al. 2000 should probably be classified as an active control as it contained quinine hydrochloride. At the very least it should be discussed, and a sensitivity analysis conducted.
7. The authors fail to acknowledge that language bias is a limitation of their review. Only English language databases were searched, and articles excluded “for which there was no standard translation” are not reported. We are aware of three RCTs indexed only in Chinese language databases and published in Chinese. Two are large RCTs that evaluated a zinc gluconate nasal spray for prevention of upper respiratory infections [1, 2] and the other evaluated zinc gluconate nasal spray for treatment [3].
8. Other concerns with the comprehensiveness of the literature search include only searching two databases. This is the bare minimum for a systematic review and is not recommended when the intervention is used as a complementary medicine/natural product as some relevant journals are not indexed in PubMed or Embase.
9. Despite searching “published systematic reviews by hand” one zinc RCT identified by two other systematic reviews was missed [4-6].
10. A key RCT that is very relevant to the current pandemic was also missed. In 2007, Prasad et al. [7] reported an RCT involving 50 participants age 55-87 years who were given 45mg/day of oral zinc or placebo for 12 months. The effects of zinc for prevention of upper respiratory infections, tonsillitis, common cold, and flu were each reported separately.
11. The lack of a protocol and no discussion of the review’s limitations add to our concerns about the reliability of the review findings.
REFERENCES
1. Wei J, Chen HW, You LH: [Zinc gluconate nasal spray for the prevention of upper respiratory tract infection: A randomised, double-blinded, placebo-controlled trial]. Medical Journal of Chinese People's Liberation Army 2009, 34(7):838-840.
2. Zhang LJ, Liu GX, Zhang YX, Xing XY, Cai HX, Zeng G: [Zinc gluconate nasal spray for the prevention of acute upper respiratory tract infection]. Journal of Preventive Medicine Information 2009, 25(7):508-510.
3. Yao WZ, Yang W, Shen N, Liu YN, Wang PL, Lin JT: [Zinc gluconate nasal spray versus common cold nasal spray in treating common cold: A randomised, multi-center, controlled trial]. Chinese Journal of Clinical Pharmacology 2005, 21(2):87-90.
4. Belongia EA, Berg R, Liu K: A randomized trial of zinc nasal spray for the treatment of upper respiratory illness in adults. The American journal of medicine 2001, 111(2):103-108.
5. D'Cruze H, Arroll B, Kenealy T: Is intranasal zinc effective and safe for the common cold? A systematic review and meta-analysis. Journal of primary health care 2009, 1(2):134-139.
6. Hulisz D: Efficacy of zinc against common cold viruses: an overview. Journal of the American Pharmacists Association 2004, 44(5):594-603.
7. Prasad AS, Beck FW, Bao B, Fitzgerald JT, Snell DC, Steinberg JD, Cardozo LJ: Zinc supplementation decreases incidence of infections in the elderly: effect of zinc on generation of cytokines and oxidative stress. Am J Clin Nutr 2007, 85(3):837-844.
In their laudable analysis of the Prospective Urban and Rural Epidemiology study, Naito and colleagues(1) used multivariable Cox regression to examine social isolation in relation to all-cause mortality, cardiovascular disease (CVD) mortality, and cause-specific incidence and mortality. Drawing upon the latest evidence in the field, the purpose of this letter is to highlight three strengths of this study and propose an alternative explanation for the observed association between social isolation and CVD incidence.
Naito and colleagues’ study contributes novel insights into potential risk factors for social isolation across high, middle and low income settings. Further, their findings in relation to all-cause and CVD mortality strengthen the literature suggesting that greater isolation is associated with increased mortality.(2) While it is unclear that the assumptions required to calculate population attributable fraction(3) are reasonably met when examining social isolation and mortality, the authors' analysis also contribute to growing evidence(4) that raises questions about the validity of the popular claim that social isolation is as bad for health as smoking.(5–8)
Compared to less isolated participants, Naito and colleagues observed 15% increased CVD incidence among the most isolated participants (HR=1.15, 95% CI: 1.05 – 1.25).(1) The CVD incidence outcome they measured “…included fatal or non-fatal myocardial infarction, stroke, heart failure and ot...
In their laudable analysis of the Prospective Urban and Rural Epidemiology study, Naito and colleagues(1) used multivariable Cox regression to examine social isolation in relation to all-cause mortality, cardiovascular disease (CVD) mortality, and cause-specific incidence and mortality. Drawing upon the latest evidence in the field, the purpose of this letter is to highlight three strengths of this study and propose an alternative explanation for the observed association between social isolation and CVD incidence.
Naito and colleagues’ study contributes novel insights into potential risk factors for social isolation across high, middle and low income settings. Further, their findings in relation to all-cause and CVD mortality strengthen the literature suggesting that greater isolation is associated with increased mortality.(2) While it is unclear that the assumptions required to calculate population attributable fraction(3) are reasonably met when examining social isolation and mortality, the authors' analysis also contribute to growing evidence(4) that raises questions about the validity of the popular claim that social isolation is as bad for health as smoking.(5–8)
Compared to less isolated participants, Naito and colleagues observed 15% increased CVD incidence among the most isolated participants (HR=1.15, 95% CI: 1.05 – 1.25).(1) The CVD incidence outcome they measured “…included fatal or non-fatal myocardial infarction, stroke, heart failure and other fatal CVD events.”(1) The authors suggest that inconsistencies between this finding and previous research may be explained by variation in their social isolation indices and the studied population’s characteristics. Indeed, this remains possible given that the authors use a mix of more and less subjective measures of social relationships and social support to construct their social isolation index. However, the observed association may also be a product of how CVD incidence was measured.
Recent evidence examining social isolation and incident CVD outcomes suggests that social isolation may play a greater role impacting one’s likelihood of surviving their first CVD event rather than one’s risk of developing CVD in the first place.(9) Earlier this month, a prospective analysis of about 940,000 UK adults found that after adjustment potential confounders, social isolation was not associated with non-fatal coronary heart disease (CHD) incidence (HR= 1.01, 95% CI: 0.98-1.04), weakly associated with non-fatal stroke incidence (HR=1.13, 95% CI: 1.08-1.18), and strongly associated with fatal incident CHD (HR= 1.86, 95% CI: 1.63-2.21) and fatal incident stroke events (HR= 1.91, 95% CI: 1.48-2.46).(9) These findings were supported by other recent and large prospective studies from the USA and UK.(10–13) Therefore, the association observed by Naito and colleagues may also be driven by increased risk of fatal incident CVD events among the most isolated participants as opposed to non-fatal events.
Careful outcome measurement is one tool for helping tease-out potential explanatory pathways linking social isolation and health. The latest evidence suggests that timely access to help with seeking healthcare in response to a life threatening event may be a key pathway linking social isolation and CVD mortality outcomes.(9) Perhaps due in part to the timing of publication, Naito and colleagues present several potential explanations for their findings with exception of this “delays in seeking care” hypothesis. Future research examining CVD and non-CVD incidence outcomes should continue explicitly defining the theoretical and conceptual models underpinning the hypothesized relationships between social isolation and specific disease outcomes under investigation.
References
1. Naito R, Leong DP, Bangdiwala SI, et al. Impact of social isolation on mortality and morbidity in 20 high-income, middle-income and low-income countries in five continents. BMJ Glob Heal. 2021;6(3):e004124. doi:10.1136/bmjgh-2020-004124
2. Holt-Lunstad J, Smith TB, Baker M, Harris T, Stephenson D. Loneliness and Social Isolation as Risk Factors for Mortality: a Meta-Analytic Review. Perspect Psychol Sci. 2015;10(2):227-237. doi:10.1177/1745691614568352
3. Mansournia MA, Altman DG. Population attributable fraction. BMJ. 2018;360:k757. doi:10.1136/bmj.k757
4. Smith RW, Barnes I, Reeves G, Green J, Beral V, Floud S. P84 Is social isolation as bad for health as smoking 15 cigarettes per day? Findings from two large prospective UK cohorts. J Epidemiol Community Health. 2019;73(Suppl 1):A108 LP-A109. doi:10.1136/jech-2019-SSMabstracts.234
5. Kristof N. Let’s Wage a War on Loneliness. The New York Times. https://www.nytimes.com/2019/11/09/opinion/sunday/britain-loneliness-epi.... Published November 9, 2019. Accessed February 22, 2020.
6. Graham J. Loneliness as a health threat: New campaign raises awareness. STAT News. https://www.statnews.com/2016/11/16/loneliness-health/. Published 2016. Accessed June 28, 2019.
7. Yang YC, Boen C, Gerken K, Li T, Schorpp K, Harris KM. Social relationships and physiological determinants of longevity across the human life span. Proc Natl Acad Sci. 2016;113(3):578-583. doi:10.1073/PNAS.1511085112
8. Courtin E, Knapp M. Social isolation, loneliness and health in old age: a scoping review. Health Soc Care Community. 2017;25(3):799-812. doi:10.1111/hsc.12311
9. Smith RW, Barnes I, Green J, Reeves GK, Beral V, Floud S. Social isolation and risk of heart disease and stroke: analysis of two large UK prospective studies. Lancet Public Heal. 2021. doi:10.1016/S2468-2667(20)30291-7
10. Chang S-C, Glymour M, Cornelis M, et al. Social Integration and Reduced Risk of Coronary Heart Disease in Women: The Role of Lifestyle Behaviors. Circ Res. 2017;120(12):1927-1937. http://circres.ahajournals.org/content/early/2017/03/30/CIRCRESAHA.116.3....
11. Valtorta NK, Kanaan M, Gilbody S, Hanratty B. Loneliness, social isolation and risk of cardiovascular disease in the English Longitudinal Study of Ageing. Eur J Prev Cardiol. 2018;25(13):1387-1396. doi:10.1177/2047487318792696
12. Elovainio M, Hakulinen C, Pulkki-Råback L, et al. Contribution of risk factors to excess mortality in isolated and lonely individuals: an analysis of data from the UK Biobank cohort study. Lancet Public Heal. 2017;2(6):e260-e266. doi:10.1016/S2468-2667(17)30075-0
13. Hakulinen C, Pulkki-Råback L, Virtanen M, Jokela M, Kivimäki M, Elovainio M. Social isolation and loneliness as risk factors for myocardial infarction, stroke and mortality: UK Biobank cohort study of 479 054 men and women. Heart. March 2018. http://heart.bmj.com/content/early/2018/03/16/heartjnl-2017-312663.abstract.
Dear Editor,
I thank Ms Besson and colleagues for their useful research into excess mortality in Yemen. They have highlighted effective use of excess mortality as a measure of the COVID-19 pandemic’s impact. Their new technique for determining excess mortality potentially overcomes a major limitation in its normal calculation, that is, the predominance of low quality civil registration systems in many LMICs (1). I would like to offer some comments on this research.
A key element in any determination of excess mortality is the comparative baseline period adopted (2,3). The authors have selected a baseline period beginning in July 2016, but given that the Yemeni conflict began far prior to this, I wonder why this arbitrary start-point was selected (4, 5). Whilst the authors have also referred to armed conflict intensity data, I do not see its application in the final results. Such intensity data could have been useful in selection of the comparative baseline period, in order to provide a more accurate analysis of excess mortality related to COVID-19. As conflict related mortality in Yemen, as well as mortality related to food insecurity, has varied significantly over the last number of years, it is particularly challenging to compare like with like (4, 5). These changing trends in mortality must be accounted for in order to produce a truly accurate calculation of excess mortality. Further to this, whilst 1st April was understandably selected as the date at whic...
Dear Editor,
I thank Ms Besson and colleagues for their useful research into excess mortality in Yemen. They have highlighted effective use of excess mortality as a measure of the COVID-19 pandemic’s impact. Their new technique for determining excess mortality potentially overcomes a major limitation in its normal calculation, that is, the predominance of low quality civil registration systems in many LMICs (1). I would like to offer some comments on this research.
A key element in any determination of excess mortality is the comparative baseline period adopted (2,3). The authors have selected a baseline period beginning in July 2016, but given that the Yemeni conflict began far prior to this, I wonder why this arbitrary start-point was selected (4, 5). Whilst the authors have also referred to armed conflict intensity data, I do not see its application in the final results. Such intensity data could have been useful in selection of the comparative baseline period, in order to provide a more accurate analysis of excess mortality related to COVID-19. As conflict related mortality in Yemen, as well as mortality related to food insecurity, has varied significantly over the last number of years, it is particularly challenging to compare like with like (4, 5). These changing trends in mortality must be accounted for in order to produce a truly accurate calculation of excess mortality. Further to this, whilst 1st April was understandably selected as the date at which COVID-19 may have begun to have a significant impact, by excluding deaths prior to this period, the results may have been skewed.
Finally, I would like to comment on the differing age distribution in Aden alluded to by the authors. Age stratification of the population, including that as a result of crisis-related migration, may be a useful tool to calculate age-stratified excess mortality (3). This could, in turn, reflect the comparative impact of COVID-19 on the younger echelons of Yemeni society, providing an insight into how living in a conflict area may impact vulnerability to COVID-19. Age stratification could not be completed using this geospatial technique, reflecting one limitation of this method, limiting its application to real world preventive measures.
Ultimately, this technique demonstrates potential to gain true insight into the cumulative effects a pandemic may have in a conflict area. Further application may enable more targeted mitigation measures and more effective aid to be provided.
1. World Bank Group. (2018). Global Civil Registration and Vital Statistics. Retrieved from https://www.worldbank.org/en/topic/health/brief/global-civil-registratio...
2. Checchi, F., & Roberts, L. (2005). Interpreting and using mortality data in humanitarian emergencies. Humanitarian Practice Network, 52
3. Aron, J., Muelbauer, J., Giattino, C., & Ritchie, H. (2020). A pandemic primer on excess mortality statistics and their comparability across countries. Our World in Data, Retrieved from https://ourworldindata.org/covid-excess-mortality.
4. Sharp, J. M. (2021). Yemen: Civil War and Regional Intervention. Congressional Research Service.
5. Parveen, A. (2019). The Yemen Conflict: Domestic and Regional Dynamics. Pentagon Press.
Ghaffar, Rashid, Wanyenze, and Hyder invite to the dialogue and debate on the revision for public health education (PHE) as a topic of global importance. They do it from a diverse perspective including the developed and developing economies, and the challenges of practice.
I want to contribute based on the lessons learned from my experience during a previous pandemic, and my concern on the lack of full realization of the potential of public health methods and knowledge to manage this current crisis.
Since the Influenza A(H1N1) 2009 pandemic, we realized that its management called for work with the economic, educational, agriculture and nutrition, labor, housing, transportation, tourism, and it can be achieved only with established platforms for this collaboration (1). The epidemic demanded for a differentiated care of the poor and those with cultural barriers, the pregnant, of those living with obesity or chronic co-morbidities. That it required massive behavioral change – only possible though effective health promotion functions -, and the assurance of safe settings, medical care (2), and products. That the local action had global implications. It was clear since then the central role of well-organized local public health service delivery, the place for effectively containing the spread. And we saw the importance to constrain the politicizing of the epidemic, by having rigorous, rapid, and fearless exercise of the public health authority....
Ghaffar, Rashid, Wanyenze, and Hyder invite to the dialogue and debate on the revision for public health education (PHE) as a topic of global importance. They do it from a diverse perspective including the developed and developing economies, and the challenges of practice.
I want to contribute based on the lessons learned from my experience during a previous pandemic, and my concern on the lack of full realization of the potential of public health methods and knowledge to manage this current crisis.
Since the Influenza A(H1N1) 2009 pandemic, we realized that its management called for work with the economic, educational, agriculture and nutrition, labor, housing, transportation, tourism, and it can be achieved only with established platforms for this collaboration (1). The epidemic demanded for a differentiated care of the poor and those with cultural barriers, the pregnant, of those living with obesity or chronic co-morbidities. That it required massive behavioral change – only possible though effective health promotion functions -, and the assurance of safe settings, medical care (2), and products. That the local action had global implications. It was clear since then the central role of well-organized local public health service delivery, the place for effectively containing the spread. And we saw the importance to constrain the politicizing of the epidemic, by having rigorous, rapid, and fearless exercise of the public health authority.
Still, these elements did not remain embedded in the health systems (3): for the COVID-19 pandemic, we had to go through the process again. That was not reflected in the International Health Regulations (4) and their very limited biomedical scope, the exercise of health authority (5), nor from the accreditation of essential public health services. The PHE graduate programs did not incorporate it either. And we can count the cost of that in the millions of lives lost from COVID-19, avoidable non-COVID mortality, long-term COVID-19 disease burden, and trillions of dollars in human capital lost, besides the Gross World Product lost.
We must frame investment in PHE within a virtuous cycle in the institutional capacity building, integrated with the research enterprise in schools of public health, that assemble practitioners to systematize the lessons learnt from public health practice and make curriculum pertinent. And with the trained workforce, to make structural durable changes in the health system.
With these elements I would like not only to support the “four areas for consideration by schools of public health for the development”, but to propose other four. The first one is Health Regulation for Health Protection (6) at the local, subnational, national, and global levels; the approval and registration of vaccines and medical treatments is the most visible, but also relates to safe disinfectants, meeting paces, workplaces, etc. a function that has failed globally. The second area is Public Health in Social Structures, its integration outside the health system, tackling the social and commercial determinants of health, getting public and private actors the capacity to be agents for health, advancing towards the redefinition of the scope of action of health authorities, and defining the roles of public health practice in other sectors. The third area is Crisis Management. Public health professionals should be readied to address difficult times urgent delivery of services, decision making under pressure, as medical professionals are to care for patients at emergency rooms. They should be able to talk to its audience and to listen to them, be capable communicators, and able to gather the societal resources to deal with the common problem, to plan and advocate for it. And the fourth is Public Health Law, as the way to structure the organized social response, protect human rights, and support a rigorous exercise of the health authority.
The strategy should be a transformation on the perspective of the role of public health in society, and how we see the future role of our graduates in leading a response realizing the potential of public health. The opportunity is there for LMICs countries, but the whole world claims for it.
2. Rubinson, L., Mutter, R., Viboud, C., Hupert, N., Uyeki, T., Creanga, A., Finelli, L., Iwashyna, T. J., Carr, B., Merchant, R., Katikineni, D., Vaughn, F., Clancy, C., & Lurie, N. (2013). Impact of the fall 2009 influenza A(H1N1)pdm09 pandemic on US hospitals. Medical care, 51(3), 259–265. https://doi.org/10.1097/MLR.0b013e31827da8ea
3. Cascini F, Hoxhaj I, Zaçe D, Ferranti M, Di Pietro ML, Boccia S, Ricciardi W. How health systems approached respiratory viral pandemics over time: a systematic review. BMJ Glob Health. 2020 Dec;5(12):e003677. doi: 10.1136/bmjgh-2020-003677.
4. Cameron EE, Nuzzo JB, Bell JA. Global Health Security Index. Building Collective Action and Accountability October 2019. Johns Hopkins Health Security Center/Nuclear Threat Initiative. https://www.ghsindex.org/wp-content/uploads/2020/04/2019-Global-Health-S...
6. National Academies of Sciences, Engineering, and Medicine 2020. Stronger Food and Drug Regulatory Systems Abroad. Washington, DC: The National Academies Press. https://doi.org/10.17226/25651
None of the authors of this decolonising roadmap listed an association with an academic institution in a low-and middle-income country (LMIC). They represented two London schools, two NGO organizations based in Geneva, and one from a former colony—Australia. No doubt these authors share a wealth of experience in low- and middle-income countries but the platforms they chose to speak from exemplify some of the best of high-income country Western (Northern?) educational and humanitarian outreach.
The critical inequities they cite include:
• Limiting participation of LMIC experts and community representatives
• Arbitrarily choosing interventions or research topics with little coordination or engagement
• Typically placing European or North American ‘experts’ in leadership positions with minimal experience working in the project setting,
• Basing staff, offices and other resources in high-income countries
• Funding application evaluation panels without or with limited representation from affected communities or stakeholders in which work will be done; grants awarded without due consideration for partnership ethics.
A 15 April 2021 Nature Medicine letter reported, “Not one African institution was named in the press release” when a USD30 million grant for assisting African nations in “improved use of data for decision-making in malaria control and elimination” was announced. 1
Perhaps this BMJ GH editorial is a roadmap for s...
None of the authors of this decolonising roadmap listed an association with an academic institution in a low-and middle-income country (LMIC). They represented two London schools, two NGO organizations based in Geneva, and one from a former colony—Australia. No doubt these authors share a wealth of experience in low- and middle-income countries but the platforms they chose to speak from exemplify some of the best of high-income country Western (Northern?) educational and humanitarian outreach.
The critical inequities they cite include:
• Limiting participation of LMIC experts and community representatives
• Arbitrarily choosing interventions or research topics with little coordination or engagement
• Typically placing European or North American ‘experts’ in leadership positions with minimal experience working in the project setting,
• Basing staff, offices and other resources in high-income countries
• Funding application evaluation panels without or with limited representation from affected communities or stakeholders in which work will be done; grants awarded without due consideration for partnership ethics.
A 15 April 2021 Nature Medicine letter reported, “Not one African institution was named in the press release” when a USD30 million grant for assisting African nations in “improved use of data for decision-making in malaria control and elimination” was announced. 1
Perhaps this BMJ GH editorial is a roadmap for starting a revised and improved dialogue. When viewed through the lens of the LMIC academic community who often are involved directly or indirectly in projects and especially research, there are additional areas of decolonising that require addressing:
• Trusting and supporting local LMIC stakeholders to initiate projects of value to their communities and to head or co-head those projects including shared authority over funds
• Agreeing to share benefits of projects including (but not limited to)
o equipment, travel support for presentations
o authorship equity, i.e., criteria that is not Western dominated 2, 3
• Ensuring bidirectional visits between HIC and LMIC researchers rather than LMIC stakeholders serving only as hosts
• Encouraging international conferences to be “hybrid” with options for virtual presentations and posters to avoid the financial burdens of air travel, visas, and accommodation while allowing for professional advancement and CV entries (the
Covid-19 pandemic demonstrated the feasibility of the virtual and hybrid meetings)
• Promoting recognition for the vital research and programs initiated and performed by LMIC-based organizations such as African Academy of Science, African Union, and institutions including universities in Nigeria, Ghana, Botswana, South Africa, Uganda, Kenya, Ethiopia, Rwanda, etc.
• Discouraging the push to submit articles to “high-impact” (spell that Western, often proprietary that may charge exorbitant fees for open access) journals rather than encouraging publication in the national or continent-wide journals within the LMICs
• Seeking solutions to attenuate the dominance of English proficiency for communication as well as publications
The road to decolonising global health is long with numerous curves and potholes but the authors of the editorial are clearly thoughtful and intentional in addressing the issues. We appreciate the opportunity to expand the dialogue.
1 Erondu, N.A., Aniebo, I., Kyobutungi, C. , Midega J, Okoro E, Okumu F. Open letter to international funders of science and development in Africa. Nat Med. 2021. https://doi.org/10.1038/s41591-021-01307-8
2 International Committee of Medical Journal Editors. Defining the Role of Authors and Contributors. Available at: http://www.icmje.org/recommendations/browse/roles-and-responsibilities/d.... Accessed 15 April 2021.
3 Tarpley M. Letter to the editor: Honorary authorships in surgical literature. World J Surg. 2020; 44(2):644-645. DOI 10.1007/s00268-019-05261-y.
1. Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA
2. WHO Collaborating Center for Surgery and Public Health, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
3. Department of Neurosurgery, University of Kinshasa Faculty of Medicine, Kinshasa, Congo (the Democratic Republic of the)
4. Warwick Clinical Trials Unit, Warwick Medical School, Coventry, West Midlands, UK
We want to congratulate Phan et al. on their thoughtful analysis of our article “Conference equity in global health: a systematic review of factors impacting LMIC representation at global health conferences” (1). Phan et al. are addressing inequities in global health conferences. This is evidenced by their inspiring work with transitioning the Global Women’s Research Conference (GLOW) from a physical to an online event. It is clear from Phan et al. recount that the transition helped increase access and equity to a major global health conference. We agree with the authors that such a strategy can help address many of the barriers we identified in our systematic review.
Prior to 2019, some global health events offered an online component; however, none of the major global health conferences hel...
1. Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA
2. WHO Collaborating Center for Surgery and Public Health, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
3. Department of Neurosurgery, University of Kinshasa Faculty of Medicine, Kinshasa, Congo (the Democratic Republic of the)
4. Warwick Clinical Trials Unit, Warwick Medical School, Coventry, West Midlands, UK
We want to congratulate Phan et al. on their thoughtful analysis of our article “Conference equity in global health: a systematic review of factors impacting LMIC representation at global health conferences” (1). Phan et al. are addressing inequities in global health conferences. This is evidenced by their inspiring work with transitioning the Global Women’s Research Conference (GLOW) from a physical to an online event. It is clear from Phan et al. recount that the transition helped increase access and equity to a major global health conference. We agree with the authors that such a strategy can help address many of the barriers we identified in our systematic review.
Prior to 2019, some global health events offered an online component; however, none of the major global health conferences held fully virtual events. The Covid-19 pandemic has accelerated this shift online, and at the same time, created a window of opportunity for us to address systemic inequities in the global health field. Now is the time to reflect on failures, and to develop and implement solutions that end these disparities. In our systematic review (2), we define conference equity as: the attainment of an equitable level of attendee active engagement, influence and access to a conference regardless of country of origin, location, available funds or affiliation, through the mitigation of known barriers and enhancement of efficacious facilitators. We highlighted visa issues and conference locations, primarily in high-income countries, as two barriers to conference equity. Although, Phan et al. have shown that these barriers can be overcome with online conferences, the issue of conference equity by definition, is far greater than these two barriers. Fully virtual events alone create a new set of challenges, and will not suffice to achieve conference equity.
Over a year into the pandemic, we have data to suggest online conferences are not the great equalizer of global health conferences. Limited access due to time zone differences and cost are the obvious inherent obstacles that perpetuate the inequities we witness. The financial burden of global health conference attendance has been shifted from travel, conference registration, and accommodation to the cost of internet broadband. According to the United Nations Broadband Commission, over a billion people live in countries that fail to meet the “1 for 2” recommendation, that is, 1 gigabyte should cost no more than 2% of the average monthly income to allow efficient internet use (3). Zoom (San José, California, USA), the most widely used video conferencing platform, uses 810MB-2.4GB per hour for group meetings (4). Hence a two-day 8-hour conference could cost in excess of 26.0-76.8% of the average monthly income (total broadband consumption 13.0GB-38.4GB).
Beyond financial barriers and attendee demographics, prioritization must be given to developing metrics in active conference engagement. The global health community need to ensure equity when setting conference agendas and avoid global north dominance. A conscious decision to diversify panels and provide support for low- and middle-income country researchers in presenting is an initial step.
Global health conferences are currently undergoing a major transformation, such change lends itself to research opportunities that we hope will be further explored. We thank Phan et al. for their prior communication with our team, and seizing the opportunity to propose tangible solutions. We hope online conference organizers assess their current equity status; acting upon the findings may lead to the attainment of conference equity.
1. Phan T, Lightly K, Weeks A. Conference equity in global health: are online conferences a solution? BMJ Glob Health [Internet]. 2021 Feb 25; Available from: https://gh.bmj.com/content/6/1/e003455.responses#conference-equity-in-gl...
2. Velin L, Lartigue J-W, Johnson SA, Zorigtbaatar A, Kanmounye US, Truche P, et al. Conference equity in global health: a systematic review of factors impacting LMIC representation at global health conferences. BMJ Glob Health. 2021 Jan 1;6(1):e003455.
3. Alliance for Affordable Internet. 2020 Affordability Report [Internet]. 2020. Available from: https://a4ai.org/affordability-report/report/2020/
4. Hannula L. How Much Data Does Zoom Use? [Internet]. WhistleOut. 2020 [cited 2021 Mar 15]. Available from: https://www.whistleout.com/Internet/Guides/zoom-video-call-data-use#:~:t....
The authors report a reduction in transmission in households regularly disinfecting with chlorine or ethanol based agents, but what is being disinfected is quite vague. Does this include household that, for example, only use bleach in the bathroom? Was this limited to household disinfecting ALL non-porous contacted surfaces? Did this include the use of bleach on laundry? If the authors could clarify what cleaning practices this actually encompasses, that would be appreciated.
McKinn et all state in their work published in the BMJ state that drivers of antibiotic misuse in Vietnam are socio-economic than biomedical in nature (1). However, does linguistics play a role as well?
What is an antibiotic? The generally accepted definition is that an antibiotic is a drug that is used for the treatment of bacterial infections (less commonly to prevent), these agents can either kill or inhibit the growth of bacteria.
However, the term antibiotic, as opposed to an antibacterial, may denote a drug with a wider activity, an agent that is active against any “biotic”. Reading on the origin of this term, it appears that this was the original meaning of this term (2).
In a couple of recent surveys that we conducted, we identified that many people have this misconception. This was more obvious in open ended questions. In an online survey conducted in Sri Lanka, 190 (93.1%) participants out of 204 stated they knew what an antibiotic is and defined it in their own terms. However, 51 (26.8%) of this190 defined antibiotics as agents that can kill any micro-organism (3).
In the same group of people, 12 mentioned substances other than antibiotics as examples of antibiotics, including antiseptics with antibacterial properties such as povidone iodine and triclosan, a vaccine (anti-rabies vaccine), paracetamol, chlorpheniramine and cetirizine, domperidone, aspirin, insulin, saline, and plants (cannabis and “weniwelgeta”).
In both the...
Show MoreTamrakar and colleagues have undertaken a welcome, and coherent, evaluation of the completeness and representativeness of prevalence inputs for low back pain used in the Global Burden of Disease (GBD) 2017 study [1]. These types of assessments are particularly important so that users are aware of the uncertainties at each stage of the process for estimating disability-adjusted life years – and even more so for low back pain, which is consistently found to be one of the leading causes of health losses worldwide. They can assist users in appraising modelled estimates in a way that can more readily be triangulated with country-level evidence.
Issues of uncertainty and generalizability of modelled estimates mainly arise due to a paucity of data. From the perspective of burden of disease assessment this is common across many health conditions which are data sparse, and thus have to rely on modelled estimates on the occurrence and distribution of severity of cases [2]. In the case of low back pain this mainly arises because a large proportion of people do not routinely access care services to manage their symptoms, which is also common for other musculoskeletal disorders and headaches. In both the GBD and national burden of disease assessments, the reliance of secondary use of administrative data (e.g. hospital, prescriptions or GP consultation records) is not an ideal proxy.
The public health monitoring of individual health conditions has reached a watershed mome...
Show MoreRanzani et al. [1] elegantly describe the research priority framework to address the deteriorating TB situation for the mainly LMIC countries of Latin America, which has relevance to other regions. Although the countries of WHO Europe have reduced the overall TB burden (by an average 5.1% annually from 2014-18), multidrug resistant TB rates (MDRTB) are persistently high with the proportion of Rifampicin-resistant and MDRTB among new (18%) and previously TB treated (54%) cases significantly exceeding the global average (3.4% and 18% respectively) [2]. The HIV situation in this region is also dire; 1.4 million people were living with HIV in Eastern Europe and Central Asia in 2017, with the two highest proportions in Russia and Ukraine [3], creating a significant TB-HIV co-infection problem where 13.1% of TB patients tested were HIV infected [2].
The COVID-19 pandemic has impacted all countries, but acutely on TB diagnostics and treatment especially in high TB burden LMICs. Recently the StopTB partnership examined the diagnosis and treatment statistics for nine countries, including Ukraine, representing 60% of the global TB burden; TB diagnosis and treatment enrolment in 2020 declined by 1 million or an average 23% in individual countries compared to 2019 [4].
The WHO leads global efforts to prioritise research (and research is a key intervention as one of the pillars of the WHO End TB Strategy) with regional variations [5,6,7]. For Eastern Europe, the global i...
Show MoreTo the editor and authors,
We have several concerns about the zinc results in this systematic review
1. Weismann et al. 1990 RCT evaluates zinc for treating, not preventing infections, yet is included in the prevention meta-analyses (Figure-6).
2. Farr et al. 1987 reports post-exposure prophylactic and treatment results for two RCTs. Which RCT was used? Why was the other ignored? Supp-Table-5 reports an incorrect sample size and MD rather than RR. The validity of combining pre- and postexposure prophylactic trials is questionable and at the very least, should be discussed.
3. Turner et al. 2000 reports two RCTs, both had 4 arms. Why was one RCT and two of the three zinc arms ignored? If these arms were included, an explanation for how the means (SDs) were combined is missing.
4. Table 3 lacks transparency as the studies used in each subgroup are not cited and often it is unclear what data was used. For example, none of the five RCTs included in the zinc prevention meta-analysis reported infection rates for males and females, yet this is reported.
5. The authors claim there was no evidence of a dose response for zinc used for treatment. Only two RCTs evaluated a dose ≤13.3mg/day. Both used intranasal sprays/gels. All other treatment studies evaluated lozenges. Comparing doses for different administration routes is clinically meaningless. All this analysis tells us is there is no difference between intranasal and sublingual adminis...
Show MoreIn their laudable analysis of the Prospective Urban and Rural Epidemiology study, Naito and colleagues(1) used multivariable Cox regression to examine social isolation in relation to all-cause mortality, cardiovascular disease (CVD) mortality, and cause-specific incidence and mortality. Drawing upon the latest evidence in the field, the purpose of this letter is to highlight three strengths of this study and propose an alternative explanation for the observed association between social isolation and CVD incidence.
Naito and colleagues’ study contributes novel insights into potential risk factors for social isolation across high, middle and low income settings. Further, their findings in relation to all-cause and CVD mortality strengthen the literature suggesting that greater isolation is associated with increased mortality.(2) While it is unclear that the assumptions required to calculate population attributable fraction(3) are reasonably met when examining social isolation and mortality, the authors' analysis also contribute to growing evidence(4) that raises questions about the validity of the popular claim that social isolation is as bad for health as smoking.(5–8)
Compared to less isolated participants, Naito and colleagues observed 15% increased CVD incidence among the most isolated participants (HR=1.15, 95% CI: 1.05 – 1.25).(1) The CVD incidence outcome they measured “…included fatal or non-fatal myocardial infarction, stroke, heart failure and ot...
Show MoreDear Editor,
Show MoreI thank Ms Besson and colleagues for their useful research into excess mortality in Yemen. They have highlighted effective use of excess mortality as a measure of the COVID-19 pandemic’s impact. Their new technique for determining excess mortality potentially overcomes a major limitation in its normal calculation, that is, the predominance of low quality civil registration systems in many LMICs (1). I would like to offer some comments on this research.
A key element in any determination of excess mortality is the comparative baseline period adopted (2,3). The authors have selected a baseline period beginning in July 2016, but given that the Yemeni conflict began far prior to this, I wonder why this arbitrary start-point was selected (4, 5). Whilst the authors have also referred to armed conflict intensity data, I do not see its application in the final results. Such intensity data could have been useful in selection of the comparative baseline period, in order to provide a more accurate analysis of excess mortality related to COVID-19. As conflict related mortality in Yemen, as well as mortality related to food insecurity, has varied significantly over the last number of years, it is particularly challenging to compare like with like (4, 5). These changing trends in mortality must be accounted for in order to produce a truly accurate calculation of excess mortality. Further to this, whilst 1st April was understandably selected as the date at whic...
Dear Editor:
Ghaffar, Rashid, Wanyenze, and Hyder invite to the dialogue and debate on the revision for public health education (PHE) as a topic of global importance. They do it from a diverse perspective including the developed and developing economies, and the challenges of practice.
I want to contribute based on the lessons learned from my experience during a previous pandemic, and my concern on the lack of full realization of the potential of public health methods and knowledge to manage this current crisis.
Since the Influenza A(H1N1) 2009 pandemic, we realized that its management called for work with the economic, educational, agriculture and nutrition, labor, housing, transportation, tourism, and it can be achieved only with established platforms for this collaboration (1). The epidemic demanded for a differentiated care of the poor and those with cultural barriers, the pregnant, of those living with obesity or chronic co-morbidities. That it required massive behavioral change – only possible though effective health promotion functions -, and the assurance of safe settings, medical care (2), and products. That the local action had global implications. It was clear since then the central role of well-organized local public health service delivery, the place for effectively containing the spread. And we saw the importance to constrain the politicizing of the epidemic, by having rigorous, rapid, and fearless exercise of the public health authority....
Show MoreNone of the authors of this decolonising roadmap listed an association with an academic institution in a low-and middle-income country (LMIC). They represented two London schools, two NGO organizations based in Geneva, and one from a former colony—Australia. No doubt these authors share a wealth of experience in low- and middle-income countries but the platforms they chose to speak from exemplify some of the best of high-income country Western (Northern?) educational and humanitarian outreach.
The critical inequities they cite include:
• Limiting participation of LMIC experts and community representatives
• Arbitrarily choosing interventions or research topics with little coordination or engagement
• Typically placing European or North American ‘experts’ in leadership positions with minimal experience working in the project setting,
• Basing staff, offices and other resources in high-income countries
• Funding application evaluation panels without or with limited representation from affected communities or stakeholders in which work will be done; grants awarded without due consideration for partnership ethics.
A 15 April 2021 Nature Medicine letter reported, “Not one African institution was named in the press release” when a USD30 million grant for assisting African nations in “improved use of data for decision-making in malaria control and elimination” was announced. 1
Perhaps this BMJ GH editorial is a roadmap for s...
Show MoreLotta Velin1,2, Ulrick Sidney Kanmounye1,3, Michelle Nyah Joseph1,4
1. Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA
2. WHO Collaborating Center for Surgery and Public Health, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
3. Department of Neurosurgery, University of Kinshasa Faculty of Medicine, Kinshasa, Congo (the Democratic Republic of the)
4. Warwick Clinical Trials Unit, Warwick Medical School, Coventry, West Midlands, UK
Correspondence to: Dr Michelle Nyah Joseph; Michelle_Joseph@hms.harvard.edu
We want to congratulate Phan et al. on their thoughtful analysis of our article “Conference equity in global health: a systematic review of factors impacting LMIC representation at global health conferences” (1). Phan et al. are addressing inequities in global health conferences. This is evidenced by their inspiring work with transitioning the Global Women’s Research Conference (GLOW) from a physical to an online event. It is clear from Phan et al. recount that the transition helped increase access and equity to a major global health conference. We agree with the authors that such a strategy can help address many of the barriers we identified in our systematic review.
Prior to 2019, some global health events offered an online component; however, none of the major global health conferences hel...
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