dc.creator | Runkle, Jennifer D. | |
dc.creator | Sugg, Margaret M. | |
dc.creator | Leeper, Ronald D. | |
dc.creator | Rao, Yuhan | |
dc.creator | Matthews, Jessica L. | |
dc.creator | Rennie, Jared J. | |
dc.date.accessioned | 2020-07-13T19:27:01Z | |
dc.date.accessioned | 2022-09-23T18:46:52Z | |
dc.date.available | 2020-07-13T19:27:01Z | |
dc.date.available | 2022-09-23T18:46:52Z | |
dc.date.created | 2020-07-13T19:27:01Z | |
dc.identifier | 0048-9697 | |
dc.identifier | https://doi.org/10.1016/j.scitotenv.2020.140093 | |
dc.identifier | http://hdl.handle.net/20.500.12010/10454 | |
dc.identifier | https://doi.org/10.1016/j.scitotenv.2020.140093 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3507269 | |
dc.description.abstract | Little is known about the environmental conditions that drive the spatiotemporal patterns of SARS-CoV-2. Preliminary research suggests an association with meteorological parameters. However, the relationship with temperature and humidity is not yet apparent for COVID-19 cases in US cities first impacted. The objective of this
study is to evaluate the association between COVID-19 cases and meteorological parameters in select US cities.
A case-crossover design with a distributed lag nonlinear model was used to evaluate the contribution of ambient
temperature and specific humidity on COVID-19 cases in select US cities. The case-crossover examines each
COVID case as its own control at different time periods (before and after transmission occurred). We modeled
the effect of temperature and humidity on COVID-19 transmission using a lag period of 7 days. A subset of 8 cities
were evaluated for the relationship with meteorological parameters and 5 cities were evaluated in detail. Shortterm exposure to humidity was positively associated with COVID-19 transmission in 4 cities. The associations
were small with 3 out of 4 cities exhibiting higher COVID19 transmission with specific humidity that ranged
from 6 to 9 g/kg. Our results suggest that weather should be considered in infectious disease modeling efforts.
Future work is needed over a longer time period and across different locations to clearly establish the
weather-COVID19 relationship. | |
dc.publisher | Science Direct | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | reponame:Expeditio Repositorio Institucional UJTL | |
dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | |
dc.subject | COVID-19 morbidity | |
dc.subject | Distributed lag non-linear model | |
dc.subject | Time-stratified case-crossover | |
dc.subject | Weather | |
dc.subject | Seasonality | |
dc.title | Short-term effects of specific humidity and temperature on COVID-19 morbidity in select US cities | |