Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: a statistical modelling study.

Yuyang Chen^a, Naizhe Li^{a b}, José Lourenço^c, Lin Wang^{d e}, Bernard Cazelles^{f g}, Lü Dong^b, Bingying Li^a, Yang Liu^{h i}, Mark Jit^{h i}, Nikos I Bosse^{h i}, Sam Abbott^{h i}, Raman Velayudhan^j, Annelies Wilder‐Smith^{k l}, Huaiyu Tian^m, Oliver J. Brady^{h n}, CMMID COVID-19 Working Group

1. ^aState Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
2. ^bMOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
3. ^cBiosystems and Integrative Sciences Institute, University of Lisbon, Lisbon, Portugal
4. ^dDepartment of Genetics, University of Cambridge, Cambridge, UK
5. ^eMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France
6. ^fInstitut de Biologie de l'École Normale Supérieure UMR8197, Eco-Evolutionary Mathematics, École Normale Supérieure, Paris, France
7. ^gUnité Mixte Internationnale 209, Mathematical and Computational Modeling of Complex Systems, Sorbonne Université, Paris, France
8. ^hCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
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