Non-linear effects of meteorological factors on COVID-19: an analysis of 440 counties in the Americas DOI Creative Commons
Hao Zhang, Jian Wang,

Zhong Liang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 24, 2023

Abstract In the last three years, COVID-19 has inflicted severe damage on human health and economic stability. Analyzing causes mechanisms of significant theoretical practical implications for its prevention mitigation. The role meteorological factors in transmission is crucial, yet their relationship remains a subject intense debate. To address problems short time series, large study units, unrepresentative data linear research methods previous studies, this paper used Pearson correlation analysis, generalized additive model (GAM) distributed lag nonlinear (DLNM) to analyze effect between daily new cases (temperature, relative humidity, solar radiation, surface pressure, precipitation, wind speed) from January 1, 2020 December 31, 2021 440 counties or districts seven countries Americas. results indicated that, correlations indicators temperature, humidity radiation are not significant. However, non-linear more There two thresholds temperature risk infection, 5°C 23°C, with negative 5 23°C positive below above 23°C. Relative were negatively correlated, but there was change slope at about 74% 750 kJ/m2, respectively. provide reliable basis exploring underlying development COVID-19.

Language: Английский

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
Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe DOI Open Access
Gerry A. Quinn, Michael Connolly, Norman Fenton

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(2), P. 334 - 334

Published: Jan. 6, 2024

Most government efforts to control the COVID-19 pandemic revolved around non-pharmaceutical interventions (NPIs) and vaccination. However, many respiratory diseases show distinctive seasonal trends. In this manuscript, we examined contribution of these three factors progression pandemic.

Language: Английский

Citations

7
The Enterics for Global Health (EFGH) Shigella Surveillance Study in Peru DOI Creative Commons
Katia Manzanares Villanueva, Tackeshy Pinedo Vasquez, Pablo Peñataro Yori

et al.

Open Forum Infectious Diseases, Journal Year: 2024, Volume and Issue: 11(Supplement_1), P. S121 - S128

Published: March 1, 2024

The Enterics for Global Health (EFGH) Peru site will enroll subjects in a periurban area of the low Amazon rainforest. political department Loreto lags behind most access to improved sources water and sanitation, per capita income, children born <2.5 kg, infant child mortality. Chronic undernutrition as manifested by linear growth shortfalls is common, but wasting acute malnutrition are not. recruitment seeking care diarrheal disease takes place at geographic cluster government-based primary centers an where residents beneficiaries free healthcare. Rates disease, dysentery, Shigella known be high region, with some highest rates documented literature little evidence improvement over last 2 decades. This study update estimates shigellosis measuring prevalence polymerase chain reaction culture deriving population-based healthcare community level. Immunization has been offered universally against rotavirus region since 2009, context adequate sanitation unlikely obtain standards near future, control principal enteropathogens through immunization may feasible way decrease burden future.

Language: Английский

Citations

5
The Impact of Weather on the Spread of COVID-19: The Case of the Two Largest Cities in Greece DOI Creative Commons
Despoina D. Tounta, P. T. Nastos, Dimitrios Paraskevis

et al.

Geographies, Journal Year: 2025, Volume and Issue: 5(1), P. 5 - 5

Published: Feb. 3, 2025

The new global pandemic of COVID-19, declared on 11 March 2020 by the World Health Organization, has already had an unprecedented impact health and socioeconomic activities worldwide. second wave COVID-19 swept through United States America Europe in late September 2020. Compared with other southern countries, such as Greece, where there was a significant increase cases at end October 2020, Northern European countries (Germany, France, Austria, Finland, Sweden) experienced this earlier To understand epidemiological behavior virus from environmental perspective, we examined effects air temperature, humidity, wind spread two largest population Regional Units (R.U.) namely R.U. Central Sector Athens Greece Thessaloniki Greece. We applied Pearson correlation analysis generalized linear models (GLM) confirmed Intensive Care Unit (ICU) admissions National Public Organization dependent variables corresponding speed Greek Meteorological Service independent covariates. study focused period 4 May to 3 November investigate weather human partially returned normal after gradual lifting restrictive measures first lockdown (23 2020). date set imposition local (3 Our findings showed that ICU both decreased significantly temperature (T) (WS) increase. In Athens, picture is reflected single cumulative lag meteorological parameters. Thessaloniki, differentiated only terms effect average daily (+17.6%) observed. On hand, relative humidity (RH) associated This study, addition its contribution research effort aims highlight need integrate parameters predictive factors surveillance early warning systems for infectious diseases. combination climate (e.g., wind) contagious disease indicators wastewater, geographic data, activities) would make identification potential epidemic risks more effective contribute immediate initiation public interventions rational allocation resources.

Language: Английский

Citations

0
Non-linear effects of meteorological factors on COVID-19: An analysis of 440 counties in the americas DOI Creative Commons
Hao Zhang, Jian Wang,

Zhong Liang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31160 - e31160

Published: May 1, 2024

In the last three years, COVID-19 has caused significant harm to both human health and economic stability. Analyzing causes mechanisms of theoretical practical implications for its prevention mitigation. The role meteorological factors in transmission is crucial, yet their relationship remains a subject intense debate.

Language: Английский

Citations

2
Evolving Drivers of Brazilian SARS‐CoV‐2 Transmission: A Spatiotemporally Disaggregated Time Series Analysis of Meteorology, Policy, and Human Mobility DOI Creative Commons
Gaige Hunter Kerr, Hamada S. Badr, Alisson Flávio Barbieri

et al.

GeoHealth, Journal Year: 2023, Volume and Issue: 7(3)

Published: March 1, 2023

Abstract Brazil has been severely affected by the COVID‐19 pandemic. Temperature and humidity have purported as drivers of SARS‐CoV‐2 transmission, but no consensus reached in literature regarding relative roles meteorology, governmental policy, mobility on transmission Brazil. We compiled data Brazil's 26 states one federal district from June 2020 to August 2021. Associations between these variables time‐varying reproductive number ( R t ) were examined using generalized additive models fit entire 15‐month period several shorter, 3‐month periods. Accumulated local effects variable importance metrics calculated analyze relationship input . found that is strongly influenced unmeasured sources between‐state heterogeneity near‐recent trajectory Increased temperature generally was associated with decreased increased specific transmission. However, impacts varied direction, magnitude, significance across our study period. This time variance could explain inconsistencies published date. While meteorology weakly modulates daily or seasonal weather variations alone will not stave off future surges cases Investigating how environmental factors disease control interventions may vary should be a deliberate consideration research

Language: Английский

Citations

6
Delineating the Seasonality of Varicella and Its Association With Climate in the Tropical Country of Colombia DOI Creative Commons
Laura Andrea Barrero Guevara, Elizabeth Goult,

Dayanne Delfino Rodríguez

et al.

The Journal of Infectious Diseases, Journal Year: 2023, Volume and Issue: 228(6), P. 674 - 683

Published: June 29, 2023

Varicella causes a major health burden in many low- to middle-income countries located tropical regions. Because of the lack surveillance data, however, epidemiology varicella these regions remains uncharacterized. In this study, based on an extensive dataset weekly incidence children ≤10 during 2011-2014 25 municipalities, we aimed delineate seasonality across diverse climates Colombia.

Language: Английский

Citations

5
Non-linear effects of meteorological factors on COVID-19: an analysis of 440 counties in the Americas DOI Creative Commons
Hao Zhang, Jian Wang,

Zhong Liang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 24, 2023

Abstract In the last three years, COVID-19 has inflicted severe damage on human health and economic stability. Analyzing causes mechanisms of significant theoretical practical implications for its prevention mitigation. The role meteorological factors in transmission is crucial, yet their relationship remains a subject intense debate. To address problems short time series, large study units, unrepresentative data linear research methods previous studies, this paper used Pearson correlation analysis, generalized additive model (GAM) distributed lag nonlinear (DLNM) to analyze effect between daily new cases (temperature, relative humidity, solar radiation, surface pressure, precipitation, wind speed) from January 1, 2020 December 31, 2021 440 counties or districts seven countries Americas. results indicated that, correlations indicators temperature, humidity radiation are not significant. However, non-linear more There two thresholds temperature risk infection, 5°C 23°C, with negative 5 23°C positive below above 23°C. Relative were negatively correlated, but there was change slope at about 74% 750 kJ/m2, respectively. provide reliable basis exploring underlying development COVID-19.

Language: Английский

Citations

0