| Revista: | Investigaciones geográficas - Instituto de Geografía. UNAM |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000444554 |
| ISSN: | 0188-4611 |
| Autores: | Coelho-Junior, Francisco Antonio1 Quinteiro, Pedro Marques2 Faiad, Cristiane1 |
| Instituciones: | 1Universidade de Brasilia, Brasilia, Distrito Federal. Brasil 2Instituto Universitario de Lisboa, Lisboa. Portugal |
| Año: | 2021 |
| Periodo: | Abr |
| Número: | 104 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en español | El brote mundial de la enfermedad por SARS-CoV-2 (COVID-19) está afectando todos los aspectos de la vida humana. Este estudio tiene como objetivo analizar la correlación entre factores del clima y la pandemia de Covid-19 en Brasilia y Manaos, dos estados de Brasil. El tema de investigación es importante para conocer cómo el clima afecta o predispone el contagio por COVID-19. Y aporta elementos a los tomadores de decisiones en cuanto a normas y decisiones sanitarias y de salud pública. Se empleó un análisis de datos secundarios de datos de vigilancia de COVID-19 del Ministerio de Salud de Brasil y el clima del Instituto Nacional de Meteorología de Brasil. Se registró sistemáticamente toda la información durante 51 días, durante un período de alto crecimiento de la enfermedad en el país. Los componentes del clima incluyen baja temperatura (°C), alta temperatura (°C), temperatura promedio (°C), humedad (%) y cantidad de lluvia (mm). La prueba de correlación de rango de Pearson mostró que la temperatura alta (r = .643; p <.001), la temperatura baja (r = .640; p <.001) y la humedad (r = .248; p <.005) se correlacionaron significativamente con muertes causadas por la pandemia de Covid-19 utilizada para el análisis de datos. La tasa de aislamiento social (β = -.254; p <.001) y el registro diario de nuevos casos (β = .332; p <.001), con un R cuadrado ajustado de .623, fueron los predictores de muertes acumuladas por COVID -19 |
| Resumen en inglés | The global outbreak of coronavirus SARS-CoV-2 (COVID-19) disease is affecting every part of human lives. Several researchers investigated to understand how temperature, humidity and air pollution had an influence on COVID-19 transmission. Transmission of COVID-19 due to temperature and humidity is a pertinent question. There is a lack of study of Covid-19 in tropical climate countries. This study aims to analyze the correlation between weather and Covid-19 pandemic in Brasília and Manaus, two states of Brazil. The research topic is important to know how the climate affects or predisposes the spread of COVID-19. This knowledge will provide elements to decision-makers regarding health and public health standards and decisions. This study employed a secondary data analysis of surveillance data of Covid-19 from the Ministry of Health of Brazil and weather from the National Institute of Meteorology of Brazil. These are Brazilian public organizations that, on a daily basis, record this information on a systematic basis of dates. They are central federal organizations, responsible for data analysis and public policy planning to combat Covid-19. The data are reliables and obtained from reliable government sources. We systematically record all information for 51 days, during a period of high disease growth in the country. The components of weather include low temperature (°C), high temperature (°C), temperature average (°C), humidity (%), and amount of rainfall (mm). Pearson-rank correlation test showed that high temperature (r=.643; p<.001), low temperature (r=.640; p<.001) and humidity (r=.248; p<.005) were significantly correlated with deaths caused by Covid-19 pandemic used for data analysis. Social isolation rate (β = -.254; p<.001) and daily record of new cases (β = .332; p<.001), with adjusted R-squared of .623, were the predictors of deaths acummuled by Covid-19. The finding serves as an input to reduce the incidence rate of Covid-19 in Brazil. Stati |
| Disciplinas: | Geografía |
| Palabras clave: | Geografía física, COVID-19, Coronavirus, Temperatura, Humedad, Lluvia, Brasil |
| Keyword: | Physical geography, COVID-19, Coronavirus, Temperature, Humidity, Rainfall, Brazil |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
