COVID-19 trend in Bangladesh: deviation from epidemiological model and critical analysis of the possible factors

Author:

Ahmed AsifORCID,Rahman Mohammad MahmudurORCID

Abstract

AbstractBackgroundSince its first report on March 08, COVID-19 positive cases and number of deaths are increasing in Bangladesh. In the first month of COVID-19 infection, incidence of daily positive cases did follow the susceptible, infected and recovered (SIR) based predictions we reported in April, but started to deviate in the following months. COVID-19 transmission and disease progression depends on multifaceted determinants e.g. viral genetics, host immunity, social distancing, co-morbidity, socio-demographic and environmental parameters. Therefore deviation in confirmed cases from predicted model may appear and warrant thorough investigation.MethodsIn this short report, we compared real data with SIR model and analyzed the possible factors associated with the deviation which included preventive intervention strategies, socioeconomic capabilities, climatic and meteorological indexes, acquired immunity of Bangladeshi population, demographic characteristics, health indicators and food habits.ResultsThe key factor responsible for the observed deviation was found to be the number of tests performed. Having population with low median age, young age groups are being mostly infected. Low prevalence of non-communicable diseases among them and strong immunity compared to the elderly might have kept most of them asymptomatic with silent recovery. Warm temperature, humidity and UV index of Bangladesh during this summer period might have contributed to the slow progression of infection. Longer daylight mediated immunity, fresh air circulations and ventilation, less population density in rural areas and certain food habits perhaps helped the large number of populations to restrict the infection up to a level.ConclusionDespite all these helpful determinants in Bangladesh, person to person contact is still the leading risk factor for COVID-19 transmission. Infection may increase rapidly if safe distance and preventive measures are not strictly followed while resuming the normal social and work life. Expanding test capacity, strong collaborative action plans, strategies and implementation are needed immediately to prevent catastrophe.HighlightsLimited number of tests compared to large population was the key reason for possible low daily positive cases reported in Bangladesh.Controlled interventions viz. official leave; transport ban and social distancing had helped initially to slow down the transmission.Warm weather, high humidity and UV index, sunlight mediated immunity, fresh air circulations, low pollutions, food habit and heterologous immunity might have reduced the transmission capabilities of SARS-CoV-2.Having large number of young people with strong immunity might have kept most of the infected asymptomatic who recovered silently.Person to person contact still remain as key risk factor in COVID-19 transmission, so strict health measures should be in place even after reopening social activities to contain further transmission.

Publisher

Cold Spring Harbor Laboratory

Reference37 articles.

1. COVID-19 pandemic in Bangladesh. https://en.wikipedia.org/wiki/COVID-19_pandemic_in_Bangladesh. Accessed 21 June 2020

2. Govt imposes 10-day ban on public transports from March 26 https://www.newagebd.net/article/103078/govt-imposes-10-day-ban-on-public-transports-from-march-26.

3. Coronavirus: In dense Bangladesh, social distancing a tough task. https://www.aljazeera.com/news/2020/03/coronavirus-dense-bangladesh-social-distancing-tough-task-200320103733470.html.

4. Kermack, W.O. , McKendrick, A.G. : A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society A 115(772) (1927). doi:https://doi.org/10.1098/rspa.1927.0118

5. Impact of control strategies on COVID-19 pandemic and the SIR model based forecasting in Bangladesh

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3