It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Early studies of weather, seasonality, and environmental influences on COVID-19 have yielded inconsistent and confusing results. To provide policy-makers and the public with meaningful and actionable environmentally-informed COVID-19 risk estimates, the research community must meet robust methodological and communication standards.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 Johns Hopkins University, Department of Earth and Planetary Sciences, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
2 Alliance for Collaboration on Climate and Earth Systems Science (ACCESS) c/o Council for Scientific and Industrial Research (CSIR), Cape Town, South Africa (GRID:grid.21107.35)
3 World Meteorological Organization, WHO/WMO Climate and Health Joint Office, Geneva, Switzerland (GRID:grid.426193.b) (ISNI:0000 0000 9791 0836)
4 University of Liverpool, School of Environmental Sciences, Liverpool, UK (GRID:grid.10025.36) (ISNI:0000 0004 1936 8470)
5 University of Ghana, CDKN CEL-Ghana and Institute for Environment and Sanitation Studies, College of Basic and Applied Sciences, Legon, Ghana (GRID:grid.8652.9) (ISNI:0000 0004 1937 1485)
6 Herbert Wertheim College of Medicine, Miami, USA (GRID:grid.65456.34) (ISNI:0000 0001 2110 1845)
7 National Oceanic and Atmospheric Administration, Climate Program Office, Silver Spring, USA (GRID:grid.3532.7) (ISNI:0000 0001 1266 2261)
8 World Meteorological Organization, Science and Innovation Department, Geneva, Switzerland (GRID:grid.426193.b) (ISNI:0000 0000 9791 0836)
9 South African Weather Service, Pretoria, South Africa (GRID:grid.463572.1) (ISNI:0000 0001 2153 9089)
10 Application Laboratory, VAiG, JAMSTEC, Yokohama, Japan (GRID:grid.410588.0) (ISNI:0000 0001 2191 0132)
11 Xiamen University, Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Fujian, China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233)
12 SASSCAL Regional Secretariat, Windhoek, Namibia (GRID:grid.12955.3a)
13 Servicio Nacional de Meteorología e Hidrología del Perú–SENAMHI, Lima, Peru (GRID:grid.483621.a) (ISNI:0000 0001 0746 0446)
14 Boston University, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558)
15 ICREA and Climate and Health Program, ISGlobal, Barcelona, Spain (GRID:grid.434607.2) (ISNI:0000 0004 1763 3517)