A meta-analysis result: Uneven influences of season, geo-spatial scale and latitude on relationship between meteorological factors and the COVID-19 transmission

Liu, Hongli; Yang, Baican; Wang, li-Jing; Liu, Ke; Sun, Nan; Liu, Yong-Chao; Ma, Rong; Yang, Xiaodong

doi:10.1016/j.envres.2022.113297

Cited by 25 publications

(22 citation statements)

References 102 publications

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“…A bidirectional relationship between COVID-19 and weather variables was also seen in a previous systematic review [ 18 ]. The recent meta-analysis and systematic review result also found a significant association between weather variables and COVID-19 transmission 19 , 20 . Several studies reported that maximum temperatures have low effects on COVID-19 transmission 11 , 21 , 22 while contradicting results were also found [ 23 ].…”

Section: Introductionmentioning

confidence: 85%

Correlation between COVID-19 and weather variables: A meta-analysis

Islam¹,

Noor²

2022

Heliyon

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Section: Introductionmentioning

confidence: 85%

Correlation between COVID-19 and weather variables: A meta-analysis

Islam¹,

Noor²

2022

Heliyon

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“…Hence, findings here suggest that the COVID-19 pandemic is driven by seasonality and environmental factors, and the intervention strategies should be set up in summer and fully implemented during autumn and winter period (Coccia 2022b ). Li et al ( 2022 ) employed a meta-analysis to address these questions using results from 2813 published articles and observed that a rise in T would promote virus transmission in cold seasons, while significant negative influences in the warm season. RH significantly inhibited the COVID-19 transmission on the national scale.…”

Section: Discussion and Limitationsmentioning

confidence: 99%

“…RH significantly inhibited the COVID-19 transmission on the national scale. They suggested that the control measures should be developed according to local meteorological properties for the individual city (Li et al 2022 ).…”

Section: Discussion and Limitationsmentioning

confidence: 99%

“…Therefore, it is reasonable to speculate that environmental and meteorological factors affect the COVID-19 (Xie and Zhu 2020 ). The analysis of how certain meteorological conditions may have affected the initial spread of COVID-19 at the country, city, or regional level has become an important line of research recently (Li et al 2022 ; Rahimi et al 2021 ). To control the pandemic, many studies have examined meteorological/weather conditions that might influence the spread of coronaviruses by exploring the association between these factors and the COVID-19 cases over different worldwide locations (see Appendix A : Table A.1).…”

Section: Introductionmentioning

confidence: 99%

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How do temperature, humidity, and air saturation state affect the COVID-19 transmission risk?

Mao

Zhang

et al. 2022

Environ Sci Pollut Res

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Environmental parameters have a significant impact on the spread of respiratory viral diseases (temperature (T), relative humidity (RH), and air saturation state). T and RH are strongly correlated with viral inactivation in the air, whereas supersaturated air can promote droplet deposition in the respiratory tract. This study introduces a new concept, the dynamic virus deposition ratio (α), that reflects the dynamic changes in viral inactivation and droplet deposition under varying ambient environments. A non-steady-state-modified Wells-Riley model is established to predict the infection risk of shared air space and highlight the high-risk environmental conditions. Findings reveal that a rise in T would significantly reduce the transmission of COVID-19 in the cold season, while the effect is not significant in the hot season. The infection risk under low-T and high-RH conditions, such as the frozen seafood market, is substantially underestimated, which should be taken seriously. The study encourages selected containment measures against high-risk environmental conditions and cross-discipline management in the public health crisis based on meteorology, government, and medical research. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-21766-x.

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“…De todas estas características, el mayor número de autoinforme, testeo y diagnóstico positivo en los llanos podría estar relacionado con los factores climáticos. Varios estudios han demostrado que las temperaturas máximas y la humedad pueden influir en la transmisión del virus ( 27 ). Se ha notificado también el menor uso de mascarillas en zonas con clima cálido ( 28 ).…”

Section: Discussionunclassified

Determinantes sociales asociados al autoinforme de síntomas, acceso al testeo y diagnóstico de COVID-19 en el Estado Plurinacional de Bolivia

Arias-Uriona

Pérez

Llanos

et al. 2022

Revista Panamericana De Salud Pública

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Objetivo. Identificar la prevalencia del autoinforme de síntomas, del acceso al testeo y del diagnóstico de la enfermedad por el coronavirus del 2019 (COVID-19, por su sigla en inglés), así como su asociación con determinantes sociales de la salud (DSS). Métodos. Estudio transversal con una muestra de 11 728 hombres y 12 612 mujeres mayores de 17 años, con base en la Encuesta Nacional de Hogares 2020. Las variables dependientes fueron el autoinforme de síntomas, de acceso al testeo y de una prueba positiva para COVID-19. Las variables independientes fueron la edad, el nivel de educación, la zona de residencia y geográfica, la etnia, el tipo de hogar, el ingreso per cápita, la actividad y el seguro de salud. Se calcularon prevalencias, asociaciones bivariadas y modelos de regresión logística binomial (razón de momios [OR] e intervalo de confianza del 95% [IC95%]). Resultados. Del total de personas incluidas, 16% notificó síntomas, 10% un testeo y 4,2% una prueba positiva para COVID-19. Existieron desigualdades en la notificación de síntomas de COVID-19, con una mayor probabilidad en las mujeres cuyos ingresos habían disminuido (OR: 1,7; IC95%: 1,2-2,4) y las personas desempleadas (OR: 1,2; IC95%: 1,1-1,4 para los hombres y OR:1,3; IC: 1,5-1,5 para las mujeres). En cambio, con respecto al acceso a las pruebas diagnósticas, la mayor probabilidad se observó en personas con educación superior (OR: 2.4; IC95%: 1,9-2,9 para los hombres y OR: 2,7; IC95%: 2,2-3,4 para las mujeres), cuyos ingresos se mantuvieron (OR: 1,5; IC95%: 1,3-1,9 para los hombres y OR: 1,7; IC95%: 1,4-2,0 para las mujeres) y del cuartil de ingreso per cápita en el hogar más alto (OR: 2,0; IC95%:1,6-2,5 para los hombres y OR: 1,6; IC95%: 1,3-2,0 para las mujeres). La probabilidad de notificar síntomas, realizarse una prueba y el diagnóstico para COVID-19 aumentó con la edad, para las personas que contaban con seguro de salud y residentes en los llanos; por otra parte, disminuyó para residentes de zonas rurales. Conclusiones. Existen desigualdades en el acceso al testeo y en la notificación de síntomas de la COVID-19.

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A meta-analysis result: Uneven influences of season, geo-spatial scale and latitude on relationship between meteorological factors and the COVID-19 transmission

Cited by 25 publications

References 102 publications

Correlation between COVID-19 and weather variables: A meta-analysis

Correlation between COVID-19 and weather variables: A meta-analysis

How do temperature, humidity, and air saturation state affect the COVID-19 transmission risk?

Determinantes sociales asociados al autoinforme de síntomas, acceso al testeo y diagnóstico de COVID-19 en el Estado Plurinacional de Bolivia

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