Weather Variability and COVID-19 Transmission: A Review of Recent Research

International Journal of Environmental Research and Public Health, Journal Year: 2021, Volume and Issue: 18(2), P. 396 - 396

Published: Jan. 6, 2021

Weather and climate play a significant role in infectious disease transmission, through changes to transmission dynamics, host susceptibility virus survival the environment. Exploring association of weather variables COVID-19 is vital understanding potential for seasonality future outbreaks developing early warning systems. Previous research examined effects on COVID-19, but findings appeared inconsistent. This review aims summarize currently available literature between incidence provide possible suggestions weather-based system transmission. Studies eligible inclusion used ecological methods evaluate associations (i.e., temperature, humidity, wind speed rainfall) The showed that temperature was reported as greatest number studies, with increasing decreased highest range 0–17 °C. Humidity also significantly associated incidence, though results were mixed, studies reporting positive negative correlation. A interaction humidity reported. Wind rainfall not consistent across studies. including can contribute increased particularly winter conditions viability virus. While there less indication an rainfall, these may behavioral decrease exposure risk infection. Understanding implications seasonal variations monitoring control essential

Language: Английский

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Influence of air pollution and meteorological factors on the spread of COVID-19 in the Bangkok Metropolitan Region and air quality during the outbreak

Environmental Research, Journal Year: 2021, Volume and Issue: 197, P. 111104 - 111104

Published: March 30, 2021

Language: Английский

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Interactions between climate and COVID-19

The Lancet Planetary Health, Journal Year: 2022, Volume and Issue: 6(10), P. e825 - e833

Published: Oct. 1, 2022

In this Personal View, we explain the ways that climatic risks affect transmission, perception, response, and lived experience of COVID-19. First, temperature, wind, humidity influence transmission COVID-19 in not fully understood, although non-climatic factors appear more important than explaining disease transmission. Second, extremes coinciding with have affected exposure, increased susceptibility people to COVID-19, compromised emergency responses, reduced health system resilience multiple stresses. Third, long-term climate change prepandemic vulnerabilities risk for some populations (eg, marginalised communities). The interact vary considerably between within regions, are by dynamic complex interactions underlying socioeconomic, political, demographic, cultural conditions. These conditions can lead vulnerability, resilience, transformation, or collapse systems, communities, livelihoods throughout varying timescales. It is response recovery measures consider risks, particularly locations susceptible extremes, through integrated planning includes public health, disaster preparedness, management, sustainable development, humanitarian response.

Language: Английский

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Associations between meteorology and COVID-19 in early studies: Inconsistencies, uncertainties, and recommendations

One Health, Journal Year: 2021, Volume and Issue: 12, P. 100225 - 100225

Published: Feb. 10, 2021

Meteorological variables, such as the ambient temperature and humidity, play a well-established role in seasonal transmission of respiratory viruses influenza temperate climates. Since onset novel coronavirus disease 2019 (COVID-19) pandemic, growing body literature has attempted to characterize sensitivity COVID-19 meteorological factors thus understand how changes weather seasonality may impede transmission. Here we select subset this literature, summarize diversity these studies' scopes methodologies, show lack consensus their conclusions on roles temperature, other dynamics. We discuss several aspects methodologies challenge direct comparisons across studies inflate importance further comment outstanding challenges for area research future might overcome them by carefully considering robust modeling approaches, adjusting mediating covariate effects, choosing appropriate scales analysis.

Language: Английский

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Identification of behaviour patterns in waste collection and disposal during the first wave of COVID-19 in Regina, Saskatchewan, Canada

Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 290, P. 112663 - 112663

Published: April 18, 2021

Language: Английский

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Dynamics of SARS-CoV-2 spreading under the influence of environmental factors and strategies to tackle the pandemic: A systematic review

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 81, P. 103840 - 103840

Published: March 16, 2022

Language: Английский

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The Association Between COVID-19, Air Pollution, and Climate Change

Frontiers in Public Health, Journal Year: 2021, Volume and Issue: 9

Published: July 6, 2021

This mini-review aims to highlight both the positive and negative relationship between COVID-19 air pollution climate change based on current studies. Since, opened a bibliographic door scientific production, so there was limit research at moment. There were two sides change. The associated with change, in particular, defines very loosely. Many studies have revealed correlation each pollutants, while some shown correlation. few that focused terms of climate. Meanwhile, many explained meteorological factors instead.

Language: Английский

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Spatial distribution of COVID-19 cases, epidemic spread rate, spatial pattern, and its correlation with meteorological factors during the first to the second waves

Journal of Infection and Public Health, Journal Year: 2021, Volume and Issue: 14(10), P. 1340 - 1348

Published: July 15, 2021

Currently, many countries all over the world are facing second wave of COVID-19. Therefore, this study aims to analyze spatial distribution COVID-19 cases, epidemic spread rate, pattern during first waves in South Sumatra Province Indonesia. This used geographical information system (GIS) software map cases and rate. The autocorrelation was carried out using Moran's I, while Pearson correlation examining relationship between meteorological factors Most infected areas direction virus were predicted wind rose analysis. results revealed that rapidly from August 1 December 1, 2020. highest rate observed Palembang district its peripheral (dense urban areas), lowest found eastern southern parts (remote areas). characteristic exhibited a negative random distribution. Air temperature, speed, precipitation have contributed significant impact on high wave. In summary, offers new insight for arranging control prevention strategies against potential strike.

Language: Английский

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Associations between SARS-CoV-2 RNA concentrations in wastewater and COVID-19 rates in days after sampling in small urban areas of Seville: A time series study

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 806, P. 150573 - 150573

Published: Sept. 27, 2021

Language: Английский

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How do air pollution and meteorological parameters contribute to the spread of COVID-19 in Saudi Arabia?

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 28(32), P. 44132 - 44139

Published: April 12, 2021

Language: Английский

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