Abstract
Reliable testing data for new infectious diseases like COVID-19 is scarce in developing countries making it difficult to rapidly diagnose spatial disease transmission and identify at-risk areas. We propose a method that uses readily available data on bi-lateral migration channels combined with COVID-19 cases at respective migrant destinations to construct a spatially oriented risk index. We find significant and consistent association between our measure and various types of outcomes including actual COVID-19 cases and deaths, indices of government policy responses, and community mobility patterns. Results suggest that future pandemic models should incorporate migration-linkages to predict regional socio-economic and health risk exposure.
Citation
Mushfiq Mobarak, Ahmed, Mahreen Khan, Reshad Ahsan, Kazi Iqbal, and Abu S. Shonchoy. 2023. "Using international migration links for early detection of COVID-19 risk exposure in low- and middle-income countries." Applied Economic Perspectives and Policy 45, no. 4: 1780-1800. https://doi.org/10.1002/aepp.13387.