The potential impact of COVID-19 in refugee camps in Bangladesh and beyond: A modeling study Research Details

The potential impact of COVID-19 in refugee camps in Bangladesh and beyond: A modeling study

16, June 2020 | Bangladesh

Authors:

Truelove S Abrahim O Altare C Lauer SA Grantz KH Azman AS Spiegel P.

Abstract

COVID-19 could have even more dire consequences in refugees camps than in general populations. Bangladesh has confirmed COVID-19 cases and hosts almost 1 million Rohin- gya refugees from Myanmar, with 600,000 concentrated in the Kutupalong-Balukhali Expansion Site (mean age, 21 years; standard deviation [SD], 18 years; 52% female). Pro- jections of the potential COVID-19 burden, epidemic speed, and healthcare needs in such settings are critical for preparedness planning.

Depression anxiety COVID-19 pandemic

Recent Researches

Changes in Prevalence and Determinants of Self-Reported Hypertension among Bangladeshi Older Adults during the COVID-19 Pandemic

Assessing gender responsiveness of COVID-19 response plans for populations in conflict-affected humanitarian emergencies

COVID-19 vaccination coverage is extremely low among older population in Bangladesh: findings from a cross-sectional study

COVID-19 reinfections among naturally infected and vaccinated individuals

COVID-19 and Bangladeshi health professionals: Infection status, vaccination and its immediate health consequences

Correlation of antigen-specific immune response with disease severity among COVID-19 patients in Bangladesh

Coping strategies that motivated frontline nurses while caring for the COVID-19 patients during the pandemic: A scoping review

Computational identification of host genomic biomarkers highlighting their functions, pathways and regulators that influence SARS-CoV-2 infections and drug repurposing

Comparative Clinical Characteristics, Laboratory Findings, and Outcomes of Hypoxemic and Non-Hypoxemic Patients Treated at a Makeshift COVID-19 Unit in Bangladesh: A Retrospective Chart Analysis

Common genetic aspects between COVID-19 and sarcoidosis: A network-based approach using gene expression data