Effect of meteorological factors on the COVID-19 cases: a case study related to three major cities of the Kingdom of Saudi Arabia

Iqbal, Anam; Haq, Wajiha; Mahmood, Tahir; Raza, Syed Hassan

doi:10.1007/s11356-021-17268-x

Cited by 4 publications

(3 citation statements)

References 69 publications

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“…Economic and living conditions had been demonstrated to affect the evolution and development of COVID-19 (4). The urban ratio, population density Sharma (7), temperature, humidity, and wind speed affected the evolution and the number of COVID-19 (4,9). In addition, in economies with different income levels, the impact of temperature on COVID-19 mortality was different.…”

Section: Introductionmentioning

confidence: 99%

Effects of social factors on the COVID-19 cases and its evolution in Hubei, China

Yin

Meng

2023

Front. Public Health

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IntroductionIn order to study the impact of social factors on the evolution of the epidemic, this paper takes the COVID-19 in Hubei Province of China as an example to study the impact of social factors such as the permanent population, universities, hospitals, the distance between Wuhan seafood market and 17 cities in Hubei Province, and the distribution of medical supplies on the COVID-19. This is of great significance for helping to develop effective prevention and control measures and response strategies, ensuring public health and social stability.MethodsTime series regression analysis is used to study the impact of various factors on the epidemic situation, multidimensional scale analysis is used to assess the differences among provinces, and Almon polynomial is used to study the lag effect of the impact.ResultsWe found that these cities can be divided into three groups based on the number of confirmed cases and the time course data of the cases. The results verify that these factors have a great impact on the evolution of the COVID-19.DiscussionWith the increase in the number of universities, the number of confirmed cases and new cases has significantly increased. With the increase in population density, the number of new cases has significantly increased. In addition, the farther away from the Wuhan seafood market, the fewer confirmed cases. It is worth noting that the insufficient increase in medical supplies in some cities still leads to a significant increase in new cases. This impact is regional, and their lag periods are also different. Through the comparison with Guangdong Province, it is concluded that social factors will affect COVID-19. Overall, promoting the construction of medical schools and ensuring the reasonable distribution of medical supplies is crucial as it can effectively assist decision-making.

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Section: Introductionmentioning

confidence: 99%

Effects of social factors on the COVID-19 cases and its evolution in Hubei, China

Yin

Meng

2023

Front. Public Health

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“…Among the factors affecting the transmissibility of COVID-19, the role of climate conditions has been early investigated and is still a trending and active topic 11 . Meteorological conditions can influence how the virus survives and persists within a given environment, which in turn might affect the likelihood of transmission of the disease 12 .…”

Section: Introductionmentioning

confidence: 99%

Climate and COVID-19 transmission: a cross-sectional study in Africa

Koanda,

Yonaba,

Tazen

et al. 2023

Sci Rep

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The role of climate in the Coronavirus disease 2019 (COVID-19) transmission appears to be controversial, as reported in earlier studies. In Africa, the subject is poorly documented. In this study, over the period from January 1st, 2020 to September 31, 2022, the daily variations in cumulative confirmed cases of COVID-19 for each African country (54 countries) are modelled through time-series-based approaches and using meteorological factors as covariates. It is suggested from the findings that climate plays a role in COVID-19 transmission since at least one meteorological factor is found to be significant in 32 countries. In decreasing order, the most often occurring meteorological factors are dewpoint temperature, relative and absolute humidity, average temperature and solar radiation. Most of these factors show a lagged effect with confirmed cases (between 0 and 28 days). Also, some meteorological factors exhibit contrasting effects on COVID-19 transmission, resulting in both positive and negative association with cumulative cases, therefore highlighting the complex nature of the interplay between climate and COVID-19 transmission.

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“…Allí radica el desafío de las ciudades inteligentes en el marco de la salud pública (en su decálogo), porque puede resultar de utilidad en el monitoreo y análisis de la situación de salud; en la vigilancia, investigación y control de riegos; en la promoción de la salud; en el logro de la participación social; en el desarrollo de políticas y planes en materia de salud; en la regulación y fiscalización de la salud pública; en el acceso equitativo de la población a los servicios de salud; en la capacidad de gestión sanitaria; en la investigación, desarrollo e implementación de soluciones sanitarias; y finalmente en la capacitación del talento humano (Bastidas & Bastidas, 2020b;Bastidas & Bastidas-Delgado, 2020c;Fong-Silva et al, 2020;Sharifi et al, 2020;Iqbal et al, 2021;Ravindra et al, 2022).…”

Section: Introductionunclassified

COVID-19: a challenge for smart cities in the decalogue of public health

Bastidas

Bastidas²,

Bastidas-Delgado

2022

IPSA Scientia rev. cient. multidiscip.

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Este documento tiene como objetivo la descripción y análisis de las características que definen las ciudades inteligentes aplicables en la pandemia por el nuevo coronavirus SARS-CoV-2 en el marco de los principios que conforman el decálogo de la salud pública, la destinada al abordaje de las enfermedades y problemas de salud que afecta a las poblaciones. A partir del enfoque de revisión documental de la bibliografía e inclusión de hallazgos teóricos de investigaciones con sólidas bases metodológicas, objetivos precisos, y conclusiones originales y bien definidas. Los resultados luego que la información se ubicara en categorías en estricta relación con sus similitudes conceptuales se agruparon en las siguientes secciones: las características que definen a las ciudades inteligentes y el desafío que en materia sanitaria significan la pandemia de COVID-19 en el contexto de la salud pública, así como aspectos específicos en la lucha contra la enfermedad que pueden abordarse en las ciudades inteligentes y variables socio-demográficas que deben revisarse en este campo. En conclusión se plantean los hechos relevantes con la perspectiva de ofrecer información que permita a los organismos sanitarios y estudiosos del campo dilucidar el papel que tienen las ciudades inteligentes en la mitigación de la propagación de la pandemia de COVID-19 y de cualquier otra enfermedad futura por su capacidad para ajustarse en gran medida al decálogo de la salud pública.

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Effect of meteorological factors on the COVID-19 cases: a case study related to three major cities of the Kingdom of Saudi Arabia

Cited by 4 publications

References 69 publications

Effects of social factors on the COVID-19 cases and its evolution in Hubei, China

Effects of social factors on the COVID-19 cases and its evolution in Hubei, China

Climate and COVID-19 transmission: a cross-sectional study in Africa

COVID-19: a challenge for smart cities in the decalogue of public health

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