Loading...
Publication
COVID-19: Do weather conditions influence the transmission of the coronavirus (SARS-CoV-2) in Brasília and Manaus, Brazil?
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 578.97 KB | Adobe PDF |
Advisor(s)
Abstract(s)
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. Statistical results show evidence of the relationship
between climate elements and COVID-19 indicators,
such as the number of deaths, spread of contamination and
social isolation rate. The study of dimensions of climate as a
seasonal pattern and its relationship to COVID-19 benefits
epidemiological surveillance. The more geographic spaces
are known, more will help to understand the differences
in disease behavior in different places. The results of this
research showed that environmental conditions influence the
contagion and speed of transmission of Covid-19. Policies
that contribute to benefits to health and sustainability need
to be planned. The contribution of climate and other factors, such as air pollution, for example, require additional studies.
Environmental changes, such as climate change and biodiversity,
must also be investigated for their impact on human
health. Acting in prevention, including the promotion of
socially acceptable behaviors on the part of the population,
seems to be the best way to deal with Covid-19.
Resumen: 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: 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.
Description
Keywords
Covid-19 Coronavirus Temperature Humidity Rainfall Brazil Coronavirus Temperatura Humedad lluvia Brasil
Citation
Faiad, C., Quinteiro, P. M., Junior, Francisco Coelho (2021). COVID-19: Do weather conditions influence the transmission of the coronavirus (SARS-CoV-2) in Brasília and Manaus, Brazil?. Investigaciones Geográficas, 104, 1-15 hrrp//:dx.doi.org/10.14350/rig.60178
Publisher
Instituto de Geografia