As the COVID-19 pandemic took over the world in 2020, it became clear that the world’s most vulnerable populations would be hit the hardest. In settlements for refugees and internally-displaced persons, where crowded conditions and poor sanitation can lead to faster spread of diseases, the pandemic has presented a serious threat.
In order to discover the best ways to confront this threat to public health, scientists and researchers created an artificial model of a refugee settlement in Cox’s Bazar, Bangladesh. Modeling individual interactions to predict the spread of COVID-19, the team tested what public health interventions would be most effective in stopping the spread.
To read more about this project and to download the scientific paper, please click here.
