TY - JOUR
T1 - Sero-prevalence and risk factors for Severe Acute Respiratory Syndrome Coronavirus 2 infection in women and children in a rural district of Bangladesh
T2 - A cohort study
AU - Khanam, Rasheda
AU - Islam, Md Shafiqul
AU - Rahman, Sayedur
AU - Ahmed, Salahuddin
AU - Islam, ASMD Ashraful
AU - Hasan, Tarik
AU - Hasan, Emran
AU - Chowdhury, Nabidul Haque
AU - Roy, Arunangshu Dutta
AU - Jaben, Iffat Ara
AU - Nehal, Asim A.
AU - Yoshida, Sachiyo
AU - Manu, Alexander A.
AU - Raqib, Rubhana
AU - McCollum, Eric D.
AU - Shahidullah, Mohammod
AU - Jehan, Fyezah
AU - Sazawal, Sunil
AU - Bahl, Rajiv
AU - Baqui, Abdullah H.
N1 - Funding Information:
Acknowledgments: We acknowledge the dedication of Projahnmo field team. Projahnmo is a research partnership of Johns Hopkins University, the Bangladesh Ministry of Health and Family Welfare, and other Bangladeshi institutions, including the International Center for Diarrhoeal Disease Research, Bangladesh (icddr, b). We sincerely acknowledge all the study mothers and their children for their participation, time, and contributions to this study. Funding: This study was funded by the Bill & Melinda Gates Foundation through the World Health Organization. The funders had no role in the design, data collection, analysis or interpretation, or manuscript preparation and submission. Authorship contributions: AHB, SS, FJ, RB contributed to the conceptualization, design and implementation, and quality control of the study. AHB, MSI, and RK participated in data analysis and interpretation and drafted the manuscript. RK, MSI, SR, SA, EH, NHC, AAI, ADR, IAJ, AAN, EDM, MS, SY, AAM contributed to field implementation, data collection & management and supervision. RR, TH contributed to laboratory work. All authors reviewed and contributed to manuscript writing and approved the final manuscript. Disclosure of interest: The authors completed the ICMJE Unified Competing Interest form (available upon request from the corresponding author) and declare no conflicts of interest. Additional material Online Supplementary Document 1 Pollard CA, Morran MP, Nestor-Kalinoski AL. The COVID-19 pandemic: a global health crisis. Physiol Genomics. 2020;52:549-57. Medline:32991251 doi:10.1152/physiolgenomics.00089.2020 2 World Health Organization. WHO Coronavirus (COVID-19) Dashboard. Available: https://covid19.who.int/. Accessed: Jan-uary 2 2022. 2022. 3 Mallah SI, Ghorab OK, Al-Salmi S, Abdellatif OS, Tharmaratnam T, Iskandar MA, et al. COVID-19: breaking down a global health crisis. Ann Clin Microbiol Antimicrob. 2021;20:35. Medline:34006330 doi:10.1186/s12941-021-00438-7 4 World Health Organization. Considerations for implementing and adjusting public health and social measures in the con-text of COVID-19: interim guidance, June 14 2021. World Health Organization. Available: https://apps.who.int/iris/han-dle/10665/341811. Accessed: January 19 2022. 5 Centers for Disease Control and Prevention. Coronavirus Disease 2019 - How to Protect Yourself & Others. Available: https:// www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html. Accessed: January 19 2022. 6 World Health Organization. Bangladesh situation. Available: https://covid19.who.int/region/searo/country/bd. Accessed: Jan-uary 2 2022. 7 Bodrud-Doza M, Shammi M, Bahlman L, Islam A, Rahman MM. Psychosocial and Socioeconomic Crisis in Bangladesh Due to COVID-19 Pandemic: A Perception-Based Assessment. Front Public Health. 2020;8:341. Medline:32676492 doi:10.3389/ fpubh.2020.00341
Publisher Copyright:
© 2022 The Author(s)
PY - 2022
Y1 - 2022
N2 - Background Bangladesh reported its first COVID-19 case on March 8, 2020. Despite lockdowns and promoting behavioural interventions, as of December 31, 2021, Bangladesh reported 1.5 million confirmed cases and 27 904 COVID-19-related deaths. To understand the course of the pandemic and identify risk factors for SARs-Cov-2 infection, we conducted a cohort study from November 2020 to December 2021 in rural Bangladesh. Methods After obtaining informed consent and collecting baseline data on COVID-19 knowledge, comorbidities, socioeconomic status, and lifestyle, we collected data on COVIDlike illness and care-seeking weekly for 54 weeks for women (n = 2683) and their children (n = 2433). Between March and July 2021, we tested all participants for SARS-CoV-2 antibodies using ROCHE’s Elecsys® test kit. We calculated seropositivity rates and 95% confidence intervals (95% CI) separately for women and children. In addition, we calculated unadjusted and adjusted relative risk (RR) and 95% CI of seropositivity for different age and risk groups using log-binomial regression models. Results Overall, about one-third of women (35.8%, 95% CI = 33.7-37.9) and one-fifth of children (21.3%, 95% CI = 19.2-23.6) were seropositive for SARS-CoV-2 antibodies. The seroprevalence rate doubled for women and tripled for children between March 2021 and July 2021. Compared to women and children with the highest household wealth (HHW) tertile, both women and children from poorer households had a lower risk of infection (RR, 95% CI for lowest HHW tertile women (0.83 (0.71-0.97)) and children (0.75 (0.57-0.98)). Most infections were asymptomatic or mild. In addition, the risk of infection among women was higher if she reported chewing tobacco (RR = 1.19,95% CI = 1.03-1.38) and if her husband had an occupation requiring him to work indoors (RR = 1.16, 95% CI = 1.02-1.32). The risk of infection was higher among children if paternal education was >5 years (RR = 1.37, 95% CI = 1.10-1.71) than in children with a paternal education of ≤5 years.Conclusions We provided prospectively collected population-based data, which could contribute to designing feasible strategies against COVID-19 tailored to high-risk groups. The most feasible strategy may be promoting preventive care practices; however, collecting data on reported practices is inadequate. More in-depth understanding of the factors related to adoption and adherence to the practices is essential.
AB - Background Bangladesh reported its first COVID-19 case on March 8, 2020. Despite lockdowns and promoting behavioural interventions, as of December 31, 2021, Bangladesh reported 1.5 million confirmed cases and 27 904 COVID-19-related deaths. To understand the course of the pandemic and identify risk factors for SARs-Cov-2 infection, we conducted a cohort study from November 2020 to December 2021 in rural Bangladesh. Methods After obtaining informed consent and collecting baseline data on COVID-19 knowledge, comorbidities, socioeconomic status, and lifestyle, we collected data on COVIDlike illness and care-seeking weekly for 54 weeks for women (n = 2683) and their children (n = 2433). Between March and July 2021, we tested all participants for SARS-CoV-2 antibodies using ROCHE’s Elecsys® test kit. We calculated seropositivity rates and 95% confidence intervals (95% CI) separately for women and children. In addition, we calculated unadjusted and adjusted relative risk (RR) and 95% CI of seropositivity for different age and risk groups using log-binomial regression models. Results Overall, about one-third of women (35.8%, 95% CI = 33.7-37.9) and one-fifth of children (21.3%, 95% CI = 19.2-23.6) were seropositive for SARS-CoV-2 antibodies. The seroprevalence rate doubled for women and tripled for children between March 2021 and July 2021. Compared to women and children with the highest household wealth (HHW) tertile, both women and children from poorer households had a lower risk of infection (RR, 95% CI for lowest HHW tertile women (0.83 (0.71-0.97)) and children (0.75 (0.57-0.98)). Most infections were asymptomatic or mild. In addition, the risk of infection among women was higher if she reported chewing tobacco (RR = 1.19,95% CI = 1.03-1.38) and if her husband had an occupation requiring him to work indoors (RR = 1.16, 95% CI = 1.02-1.32). The risk of infection was higher among children if paternal education was >5 years (RR = 1.37, 95% CI = 1.10-1.71) than in children with a paternal education of ≤5 years.Conclusions We provided prospectively collected population-based data, which could contribute to designing feasible strategies against COVID-19 tailored to high-risk groups. The most feasible strategy may be promoting preventive care practices; however, collecting data on reported practices is inadequate. More in-depth understanding of the factors related to adoption and adherence to the practices is essential.
UR - http://www.scopus.com/inward/record.url?scp=85134787160&partnerID=8YFLogxK
U2 - 10.7189/JOGH.12.05030
DO - 10.7189/JOGH.12.05030
M3 - Article
C2 - 35866222
AN - SCOPUS:85134787160
SN - 2047-2978
VL - 12
JO - Journal of Global Health
JF - Journal of Global Health
M1 - 05030
ER -