Back

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

Ahmed, A.; Rahman, M. M.

2020-06-03 epidemiology
10.1101/2020.05.31.20118745
Show abstract

BackgroundSince 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. HighlightsO_LILimited number of tests compared to large population was the key reason for possible low daily positive cases reported in Bangladesh. C_LIO_LIControlled interventions viz. official leave; transport ban and social distancing had helped initially to slow down the transmission. C_LIO_LIWarm 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. C_LIO_LIHaving large number of young people with strong immunity might have kept most of the infected asymptomatic who recovered silently. C_LIO_LIPerson 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. C_LI

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
based on 1737 papers
Top 23%
17.7%
2
BMJ Open
based on 553 papers
Top 20%
5.5%
3
International Journal of Environmental Research and Public Health
based on 116 papers
Top 3%
5.5%
4
Epidemiology and Infection
based on 80 papers
Top 0.8%
4.9%
5
International Journal of Infectious Diseases
based on 115 papers
Top 2%
4.7%
6
Scientific Reports
based on 701 papers
Top 40%
4.7%
7
Frontiers in Public Health
based on 135 papers
Top 8%
3.1%
8
BMC Public Health
based on 148 papers
Top 8%
2.9%
9
Journal of Family Medicine and Primary Care
based on 10 papers
Top 0.2%
2.9%
50% of probability mass above
10
PLOS Global Public Health
based on 287 papers
Top 12%
2.5%
11
The American Journal of Tropical Medicine and Hygiene
based on 50 papers
Top 4%
2.4%
12
IJID Regions
based on 10 papers
Top 0.1%
2.3%
13
BMJ Global Health
based on 95 papers
Top 8%
1.8%
14
Heliyon
based on 57 papers
Top 4%
1.8%
15
Journal of Public Health
based on 23 papers
Top 2%
1.4%
16
Cureus
based on 64 papers
Top 12%
1.4%
17
Disaster Medicine and Public Health Preparedness
based on 16 papers
Top 2%
1.4%
18
BMC Infectious Diseases
based on 110 papers
Top 11%
1.4%
19
PeerJ
based on 46 papers
Top 6%
1.4%
20
Frontiers in Cellular and Infection Microbiology
based on 22 papers
Top 3%
0.8%
21
Infectious Disease Modelling
based on 50 papers
Top 6%
0.8%
22
Frontiers in Medicine
based on 99 papers
Top 17%
0.8%
23
JMIR Public Health and Surveillance
based on 45 papers
Top 13%
0.7%
24
Chaos, Solitons & Fractals
based on 17 papers
Top 4%
0.7%
25
Journal of Global Health
based on 18 papers
Top 3%
0.7%
26
JMIRx Med
based on 29 papers
Top 6%
0.7%
27
Science of The Total Environment
based on 80 papers
Top 5%
0.7%