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.

Shivani Ishwar
I'm a data analyst, visual designer, and web developer. I specialize in communicating complicated ideas in visually appealing, broadly accessible ways.
Shivani Ishwar
Shivani Ishwar

Latest posts by Shivani Ishwar (see all)