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Relationships between COVID-19 and disaster risk in Costa Rican municipalities
The COVID-19 pandemic has had far-reaching impacts on every aspect of human life since the first confirmed case in December 2019. Costa Rica reported its first case of COVID-19 in March 2020, coinciding with a notable correlation between the occurrence of disaster events at the municipal scale over...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Natural Hazards, Ministry of Emergency Management of China. Publishing services provided by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922674/ http://dx.doi.org/10.1016/j.nhres.2023.02.002 |
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author | Quesada-Román, Adolfo Pérez-Umaña, Dennis Brenes-Maykall, Alice |
author_facet | Quesada-Román, Adolfo Pérez-Umaña, Dennis Brenes-Maykall, Alice |
author_sort | Quesada-Román, Adolfo |
collection | PubMed |
description | The COVID-19 pandemic has had far-reaching impacts on every aspect of human life since the first confirmed case in December 2019. Costa Rica reported its first case of COVID-19 in March 2020, coinciding with a notable correlation between the occurrence of disaster events at the municipal scale over the past five decades. In Costa Rica, over 90% of disasters are hydrometeorological in nature, while geological disasters have caused significant economic and human losses throughout the country's history. To analyze the relationship between COVID-19 cases and disaster events in Costa Rica, two Generalized Linear Models (GLMs) were used to statistically evaluate the influence of socio-environmental parameters such as population density, social development index, road density, and non-forested areas. The results showed that population and road density are the most critical factors in explaining the spread of COVID-19, while population density and social development index can provide insights into disaster events at the municipal level in Costa Rica. This study provides valuable information for understanding municipal vulnerability and exposure to disasters in Costa Rica and can serve as a model for other countries to assess disaster risk. |
format | Online Article Text |
id | pubmed-9922674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Institute of Natural Hazards, Ministry of Emergency Management of China. Publishing services provided by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99226742023-02-13 Relationships between COVID-19 and disaster risk in Costa Rican municipalities Quesada-Román, Adolfo Pérez-Umaña, Dennis Brenes-Maykall, Alice Natural Hazards Research Article The COVID-19 pandemic has had far-reaching impacts on every aspect of human life since the first confirmed case in December 2019. Costa Rica reported its first case of COVID-19 in March 2020, coinciding with a notable correlation between the occurrence of disaster events at the municipal scale over the past five decades. In Costa Rica, over 90% of disasters are hydrometeorological in nature, while geological disasters have caused significant economic and human losses throughout the country's history. To analyze the relationship between COVID-19 cases and disaster events in Costa Rica, two Generalized Linear Models (GLMs) were used to statistically evaluate the influence of socio-environmental parameters such as population density, social development index, road density, and non-forested areas. The results showed that population and road density are the most critical factors in explaining the spread of COVID-19, while population density and social development index can provide insights into disaster events at the municipal level in Costa Rica. This study provides valuable information for understanding municipal vulnerability and exposure to disasters in Costa Rica and can serve as a model for other countries to assess disaster risk. National Institute of Natural Hazards, Ministry of Emergency Management of China. Publishing services provided by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2023-06 2023-02-13 /pmc/articles/PMC9922674/ http://dx.doi.org/10.1016/j.nhres.2023.02.002 Text en © 2023 National Institute of Natural Hazards, Ministry of Emergency Management of China. Publishing services provided by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Quesada-Román, Adolfo Pérez-Umaña, Dennis Brenes-Maykall, Alice Relationships between COVID-19 and disaster risk in Costa Rican municipalities |
title | Relationships between COVID-19 and disaster risk in Costa Rican municipalities |
title_full | Relationships between COVID-19 and disaster risk in Costa Rican municipalities |
title_fullStr | Relationships between COVID-19 and disaster risk in Costa Rican municipalities |
title_full_unstemmed | Relationships between COVID-19 and disaster risk in Costa Rican municipalities |
title_short | Relationships between COVID-19 and disaster risk in Costa Rican municipalities |
title_sort | relationships between covid-19 and disaster risk in costa rican municipalities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922674/ http://dx.doi.org/10.1016/j.nhres.2023.02.002 |
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