Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean)
Numerous studies have explored whether and how the spread of the coronavirus disease 2019 (COVID-19) responds to environmental conditions without reaching unique or consistent answers. Sociodemographic factors such as variable population density or mobility as well as the lack of effective epidemiological monitoring difficult establishing robust correlations. Here we carry out a regional cross-correlation study between nine atmospheric variables and an infection index (Ic) estimated from standardized positive polymerase chain reaction (PCR) test cases. The correlations and associated time-lags are used to build a linear multiple-regression model between weather conditions and the Ic index. Our results show that surface pressure and relative humidity can predict COVID-19 outbreaks during periods of relatively minor mobility and meeting restrictions. The occurrence of low-pressure systems, associated with the autumn onset, leads to weather and behavioral changes that intensify the virus transmission. These findings suggest that surface pressure and relative humidity are key environmental factors in the seasonal dynamics of the COVID-19 spread, which may be used to improve COVID-19 forecast models.
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2022-11-18
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dig-icm-es-10261-3077292023-04-28T10:33:47Z Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean) Planella-Morato, Jesús Pelegrí, Josep Lluís Martín-Rey, Marta Olivé Abelló, Anna Vallès, Xavier Roca, Josep Gonzalo de Liria, Carlos Rodrigo Estrada, Oriol Vallès Casanova, Ignasi Berenguer Numerous studies have explored whether and how the spread of the coronavirus disease 2019 (COVID-19) responds to environmental conditions without reaching unique or consistent answers. Sociodemographic factors such as variable population density or mobility as well as the lack of effective epidemiological monitoring difficult establishing robust correlations. Here we carry out a regional cross-correlation study between nine atmospheric variables and an infection index (Ic) estimated from standardized positive polymerase chain reaction (PCR) test cases. The correlations and associated time-lags are used to build a linear multiple-regression model between weather conditions and the Ic index. Our results show that surface pressure and relative humidity can predict COVID-19 outbreaks during periods of relatively minor mobility and meeting restrictions. The occurrence of low-pressure systems, associated with the autumn onset, leads to weather and behavioral changes that intensify the virus transmission. These findings suggest that surface pressure and relative humidity are key environmental factors in the seasonal dynamics of the COVID-19 spread, which may be used to improve COVID-19 forecast models. No 2023-04-28T10:33:47Z 2023-04-28T10:33:47Z 2022-11-18 preprint Research Square: 10.21203/rs.3.rs-2206639/v1 (2022) http://hdl.handle.net/10261/307729 10.21203/rs.3.rs-2206639/v1 en Preprint https://doi.org/10.21203/rs.3.rs-2206639/v1 Sí open application/pdf Research Square |
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Numerous studies have explored whether and how the spread of the coronavirus disease 2019 (COVID-19) responds to environmental conditions without reaching unique or consistent answers. Sociodemographic factors such as variable population density or mobility as well as the lack of effective epidemiological monitoring difficult establishing robust correlations. Here we carry out a regional cross-correlation study between nine atmospheric variables and an infection index (Ic) estimated from standardized positive polymerase chain reaction (PCR) test cases. The correlations and associated time-lags are used to build a linear multiple-regression model between weather conditions and the Ic index. Our results show that surface pressure and relative humidity can predict COVID-19 outbreaks during periods of relatively minor mobility and meeting restrictions. The occurrence of low-pressure systems, associated with the autumn onset, leads to weather and behavioral changes that intensify the virus transmission. These findings suggest that surface pressure and relative humidity are key environmental factors in the seasonal dynamics of the COVID-19 spread, which may be used to improve COVID-19 forecast models. |
format |
preprint |
author |
Planella-Morato, Jesús Pelegrí, Josep Lluís Martín-Rey, Marta Olivé Abelló, Anna Vallès, Xavier Roca, Josep Gonzalo de Liria, Carlos Rodrigo Estrada, Oriol Vallès Casanova, Ignasi Berenguer |
spellingShingle |
Planella-Morato, Jesús Pelegrí, Josep Lluís Martín-Rey, Marta Olivé Abelló, Anna Vallès, Xavier Roca, Josep Gonzalo de Liria, Carlos Rodrigo Estrada, Oriol Vallès Casanova, Ignasi Berenguer Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean) |
author_facet |
Planella-Morato, Jesús Pelegrí, Josep Lluís Martín-Rey, Marta Olivé Abelló, Anna Vallès, Xavier Roca, Josep Gonzalo de Liria, Carlos Rodrigo Estrada, Oriol Vallès Casanova, Ignasi Berenguer |
author_sort |
Planella-Morato, Jesús |
title |
Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean) |
title_short |
Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean) |
title_full |
Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean) |
title_fullStr |
Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean) |
title_full_unstemmed |
Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean) |
title_sort |
environmental predictors of sars-cov-2 infection incidence in catalonia (northwestern mediterranean) |
publisher |
Research Square |
publishDate |
2022-11-18 |
url |
http://hdl.handle.net/10261/307729 |
work_keys_str_mv |
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