Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Base de dados
País/Região como assunto
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
PLoS Comput Biol ; 18(4): e1009973, 2022 04.
Artigo em Inglês | MEDLINE | ID: mdl-35377873

RESUMO

The drivers behind regional differences of SARS-CoV-2 spread on finer spatio-temporal scales are yet to be fully understood. Here we develop a data-driven modelling approach based on an age-structured compartmental model that compares 116 Austrian regions to a suitably chosen control set of regions to explain variations in local transmission rates through a combination of meteorological factors, non-pharmaceutical interventions and mobility. We find that more than 60% of the observed regional variations can be explained by these factors. Decreasing temperature and humidity, increasing cloudiness, precipitation and the absence of mitigation measures for public events are the strongest drivers for increased virus transmission, leading in combination to a doubling of the transmission rates compared to regions with more favourable weather. We conjecture that regions with little mitigation measures for large events that experience shifts toward unfavourable weather conditions are particularly predisposed as nucleation points for the next seasonal SARS-CoV-2 waves.


Assuntos
COVID-19 , SARS-CoV-2 , Áustria/epidemiologia , COVID-19/epidemiologia , COVID-19/prevenção & controle , Humanos , Conceitos Meteorológicos , Tempo (Meteorologia)
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA