Using international migration links for early detection of <scp>COVID</scp>‐19 risk exposure in <scp>low‐ and middle‐</scp>income countries-Reference-Cited by-同舟云学术

Using international migration links for early detection of COVID‐19 risk exposure in low‐ and middle‐income countries

Published:2023-07-10 Issue:4 Volume:45 Page:1780-1800
ISSN:2040-5790
Container-title:Applied Economic Perspectives and Policy
language:en
Short-container-title:Applied Eco Perspectives Pol

Author:

Khan Mahreen¹,Ahsan Reshad²,Iqbal Kazi³,Mobarak Ahmed Mushfiq⁴,Shonchoy Abu S.⁵

Affiliation:

1. Oxford Martin School University of Oxford Oxford UK

2. Department of Economics University of Melbourne Melbourne Australia

3. Industry and Physical Infrastructure Division Bangladesh Institute of Development Studies Dhaka Bangladesh

4. Department of Economics Florida International University Miami Florida USA

5. Department of Economics Yale University New Haven Connecticut USA

Abstract

AbstractReliable 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.

Publisher

Wiley

Subject

Economics and Econometrics,Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aepp.13387

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