A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion DOI Creative Commons
Juan Qiu,

Rendong Li,

Dongfeng Han

et al.

One Health, Journal Year: 2021, Volume and Issue: 13, P. 100335 - 100335

Published: Oct. 6, 2021

Research on the impact of environment COVID-19 diffusion lacks a full-comprehensive perspective, and neglecting multiplicity human-environment system can lead to misleading conclusions. We attempted reveal all pre-existing environmental-to-human human-to-human determinants that influence transmission COVID-19. As such, estimated daily case incidence ratios (CIR) for prefectures across mainland China, used mixed-effects mixed-distribution model study association between CIR 114 factors related climate, atmospheric environmental quality, terrain, population, economic, human mobility as well non-pharmaceutical interventions (NPIs). Not only changes in over time pandemic progresses but also their lag interaction effects were examined. CO, O3, PM10 PM2.5 found positively linked with CIR, effect NO2 was negative. The temperature had no significant minimum humidity negatively predictor. NPIs' level associated until 15 days. Higher accumulated destination migration scale flow from epicenter lower distance (DisWH) higher however, DisWH positive. more economically developed densely populated cities have probability occurrence, they may not intensity.The are caused by environmental, social NPIs. First, multiple pollutants carried simultaneously particulate matter affect transmission. Second, has limited spread epidemic. Third, NPIs must last at least days or longer before been apparent. Fourth, population movement gradually diminished intraregional deserves attention.

Language: Английский

COVID-19 pandemic over 2020 (with lockdowns) and 2021 (with vaccinations): similar effects for seasonality and environmental factors DOI
Mario Coccia

Environmental Research, Journal Year: 2022, Volume and Issue: 208, P. 112711 - 112711

Published: Jan. 13, 2022

Language: Английский

Citations

126

The real-life impact of vaccination on COVID-19 mortality in Europe and Israel DOI Open Access
Katarzyna Jabłońska, Samuel Aballéa, Mondher Toumi

et al.

Public Health, Journal Year: 2021, Volume and Issue: 198, P. 230 - 237

Published: Sept. 1, 2021

Language: Английский

Citations

94

What Could Explain the Lower COVID-19 Burden in Africa despite Considerable Circulation of the SARS-CoV-2 Virus? DOI Open Access
Richard G. Wamai, Jason L. Hirsch, Wim Van Damme

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2021, Volume and Issue: 18(16), P. 8638 - 8638

Published: Aug. 16, 2021

The differential spread and impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing Coronavirus Disease 2019 (COVID-19), across regions is a major focus for researchers policy makers. Africa has attracted tremendous attention, due to predictions catastrophic impacts that have not yet materialized. Early in the pandemic, seemingly low African case count was largely attributed testing reporting. However, there reason consider many countries attenuated early on. Factors explaining include government community-wide actions, population distribution, social contacts, ecology human habitation. While recent data from seroprevalence studies posit more extensive circulation virus, continuing COVID-19 burden may be explained by demographic pyramid, prevalence pre-existing conditions, trained immunity, genetics, broader sociocultural dynamics. Though all these prongs contribute observed profile Africa, some provide stronger evidence than others. This review important expand what known about pandemics, enhancing scientific understanding gearing appropriate public health responses. Furthermore, it highlights potential lessons draw global on assumptions regarding deadly viral given its long experience with infectious diseases.

Language: Английский

Citations

75

Ambient high temperature exposure and global disease burden during 1990–2019: An analysis of the Global Burden of Disease Study 2019 DOI
Jian Song,

Rubing Pan,

Weizhuo Yi

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 787, P. 147540 - 147540

Published: May 7, 2021

Language: Английский

Citations

67

Interactions between climate and COVID-19 DOI Creative Commons
James D. Ford, Carol Zavaleta-Cortijo,

Triphini Ainembabazi

et al.

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

Citations

53

Multi-source sensor based urban habitat and resident health sensing: A case study of Wuhan, China DOI
Yan Zhang, Nengcheng Chen, Wenying Du

et al.

Building and Environment, Journal Year: 2021, Volume and Issue: 198, P. 107883 - 107883

Published: April 20, 2021

Language: Английский

Citations

53

Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic DOI Creative Commons
Hamada S. Badr, Benjamin F. Zaitchik, Gaige Hunter Kerr

et al.

Scientific Data, Journal Year: 2023, Volume and Issue: 10(1)

Published: June 7, 2023

An impressive number of COVID-19 data catalogs exist. However, none are fully optimized for science applications. Inconsistent naming and conventions, uneven quality control, lack alignment between disease potential predictors pose barriers to robust modeling analysis. To address this gap, we generated a unified dataset that integrates implements checks the from numerous leading sources epidemiological environmental data. We use globally consistent hierarchy administrative units facilitate analysis within across countries. The applies align with other types relevant understanding predicting risk, including hydrometeorological data, air quality, information on control policies, vaccine key demographic characteristics.

Language: Английский

Citations

17

Assessing Environmental Factors within the One Health Approach DOI Creative Commons
Sarah Humboldt-Dachroeden, Alberto Mantovani

Medicina, Journal Year: 2021, Volume and Issue: 57(3), P. 240 - 240

Published: March 5, 2021

Background: One Health is a comprehensive and multisectoral approach to assess examine the health of animals, humans environment. However, while gains increasing momentum, its practical application meets hindrances. This paper investigates environmental pillar approach, using two case studies highlight integration considerations. The first study pertains Danish monitoring surveillance programme for antimicrobial resistance, DANMAP. second illustrates occurrence aflatoxin M1 (AFM1) in milk dairy-producing ruminants Italian regions. Method: A scientific literature search was conducted PubMed Web Science locate articles informing cases. Grey gathered describe cases as well their contexts. Results: 19 10 reports were reviewed informed show how component influences apparent impacts human animal health. DANMAP highlights approaches farm fork. provides information on comprehensiveness DANMAP, but some shortcomings terms AFM1 case, metabolite carcinogenic mycotoxin B1, shows that dairy products are heavily impacted by changes climate economic drivers. Conclusions: conditions directly influence onset diffusion hazardous factors. Climate change, treatment soils, water standards slaughterhouses farms can have great impact Hence, it important include considerations, example, via engaging experts sharing data. Further will help better define roles environment scenarios.

Language: Английский

Citations

36

Green-Blue Spaces and Population Density versus COVID-19 Cases and Deaths in Poland DOI Open Access
Tadeusz Ciupa, Roman Suligowski

International Journal of Environmental Research and Public Health, Journal Year: 2021, Volume and Issue: 18(12), P. 6636 - 6636

Published: June 20, 2021

In the last year, in connection with COVID-19 pandemic caused by SARS-CoV-2 coronavirus, scientific papers have appeared which authors are trying to identify factors (including environmental) favoring spread of this disease. This paper presents spatial differentiation total number cases and deaths during full year (March 2020-March 2021) Poland versus green-blue spaces (green-i.a. forests, orchards, meadows pastures, recreational rest areas, biologically active arable land; blue-lakes artificial water reservoirs, rivers, ecological areas internal waters) population density. The analysis covers 380 counties, including 66 cities. study used daily reports on progress published Ministry Health Republic unique, detailed data 24 types land use available Statistics database. Statistical relationships were determined between above-mentioned environmental variables characterizing (cases deaths). Various basic regression models analysed. optimal model was selected, determination coefficient, significance level values parameters these relationships, together estimation error, calculated. obtained results indicated that higher individual lower infections deaths. These described logarithmic homographic models. turn, an increase density deaths, according power model. can be current pandemic, location potential outbreaks. developed as a tool forecasting development making decisions about implementation preventive measures.

Language: Английский

Citations

33

The influence of meteorological variables and lockdowns on COVID-19 cases in urban agglomerations of Indian cities DOI Open Access
Asha B. Chelani, Sneha Gautam

Stochastic Environmental Research and Risk Assessment, Journal Year: 2022, Volume and Issue: 36(9), P. 2949 - 2960

Published: Jan. 25, 2022

Language: Английский

Citations

27