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

Islam, Md. Momin; Noor, Farjana Akther

doi:10.1016/j.heliyon.2022.e10333

Cited by 6 publications

(5 citation statements)

References 73 publications

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“…The prominent factor appears to be dewpoint temperature (in 10 countries), for which negative associations have been observed in this study but also reported in the literature 49 , 50 . Relative and absolute humidity closely follow, (both occurring in 9 countries), in line with earlier studies 12 , 19 , 51 , 52 . To a similar extent, solar radiation and average temperature are both reported in 8 countries in this study but also in previous research, for both positive 53 , 54 and negative 52 associations.…”

Section: Discussionsupporting

confidence: 91%

“…Relative and absolute humidity closely follow, (both occurring in 9 countries), in line with earlier studies 12 , 19 , 51 , 52 . To a similar extent, solar radiation and average temperature are both reported in 8 countries in this study but also in previous research, for both positive 53 , 54 and negative 52 associations. Finally, to a lesser extent, variables such as rainfall, minimum and maximum temperature appear as the less often occurring factors (in 4 countries) 55 , and wind speed (in 3 countries), as already observed in previous research 3 , 56 .…”

Section: Discussionsupporting

confidence: 91%

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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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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 91%

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

Koanda,

Yonaba,

Tazen

et al. 2023

Sci Rep

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“…In our study, we found correlations that range from very weak to weak between each of the meteorological factors and the outcomes of COVID-19. Several studies found similar associations between meteorological factors with COVID-19 incidence, fatalities, and incidence rate [25]. Our study found weak associations between wind speed, temperature, relative humidity, precipitation, and daylight hours with COVID-19 incidence, fatalities, and incidence rate which is similar to other studies [26][27][28].…”

Section: Discussionsupporting

confidence: 89%

The Dynamics of COVID-19 in Hiroshima Prefecture Compared to Japan and Its Association With Meteorological Factors: A Comparative Analysis

Hussain,

Shaba,

Bunthen

et al. 2024

Cureus

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Introduction Despite the implementation of countermeasures and mass vaccination programs, the COVID-19 pandemic incidence was a vital public health concern. This study aimed to explore the dynamics of COVID-19 cases and assess the association of COVID-19 pandemic epidemiological data with meteorological factors in Hiroshima Prefecture compared to Japan. Methods We analyzed COVID-19 pandemic data in Japan's Hiroshima Prefecture from January 16, 2020, to May 9, 2023. Meteorological factors were examined at different time frames, and Spearman correlation coefficients were calculated for COVID-19 variables and variants based on GISAID whole genome analysis. Results Hiroshima Prefecture reported 816,788 COVID-19 cases and 1,371 fatalities, with a city-to-rural case ratio of 0.97:1. Infection rates were 17.42% for Japan and 15.83% for Hiroshima. Gender-wise, the ratio was 99:1, and the 30-39 age group in Hiroshima had the highest cases (15.5%). Among all meteorological factors, daily and 14-day average wind speed showed a weak correlation with incidence (-0.1954, P < 0.01; 0.3669 P < 0.01), fatalities (-0.1148, P < 0.01; -0.2232 P < 0.01), and incidence rate (-0.2042, P < 0.01; -0.3751, P < 0.01), respectively. Clade GRA was most frequent (39.7%), and among 61 variants, B.1.1.7, AY.29, and BA.1.1.2 were predominant. Precipitation was associated significantly with the Alpha variant (0.3373, P<0.01), while the Delta variant (0.2934, <0.05) weakly correlated with humidity. Conclusion COVID-19 pandemic trends in Hiroshima Prefecture paralleled Japan's, yet with lower incidence and fatalities compared to most prefectures. Significant associations were found between meteorological factors and COVID-19 metrics, including incidence, fatalities, incidence rate, and mutations in Hiroshima.

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“…This was especially true during the summer time of 2020 and 2021 [56]. In one study RH and rainfall were found to be negatively related to new daily cases and mortality [57].…”

Section: Discussionmentioning

confidence: 93%

Role of Meteorological Parameters in COVID-19 Pandemic Waves in Delhi, India

Gupta¹,

Duan²

2023

OJAP

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In this study, the levels of meteorological parameters like maximum temperature (˚F), relative temperature (˚F), minimum temperature (˚F), humidity (%), dew point (˚F), wind speed (mph), rainfall (in), and air pressure (in) were analyzed for all three COVID-19 pandemic waves in the NCT of Delhi, India. After doing statistical analysis, the results showed that only a few parameters, like temperature (maximum, minimum, and relative), dew point, humidity, and air pressure, were linked to the start of COVID-19 pandemic waves, and rainfall had nothing to do with COVID-19 during any of the three waves. So, according to the results of this study, the Indian government should take strict steps to stop the spread of the fourth wave of COVID-19 and any other diseases that can spread in urban areas based on the meteorological conditions.

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

Cited by 6 publications

References 73 publications

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

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

The Dynamics of COVID-19 in Hiroshima Prefecture Compared to Japan and Its Association With Meteorological Factors: A Comparative Analysis

Role of Meteorological Parameters in COVID-19 Pandemic Waves in Delhi, India

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