Dataset Information

Seasonal correlation of meteorological parameters and PM_2.5 with the COVID-19 confirmed cases and deaths in Baghdad, Iraq.

ABSTRACT: The COVID-19 pandemic was a serious global health emergency in 2020 and 2021. This study analyzed the seasonal association of weekly averages of meteorological parameters, such as wind speed, solar radiation, temperature, relative humidity, and air pollutant PM2.5, with confirmed COVID-19 cases and deaths in Baghdad, Iraq, a major megacity of the Middle East, for the period June 2020 to August 2021. Spearman and Kendall correlation coefficients were used to investigate the association. The results showed that wind speed, air temperature, and solar radiation have positive and strong correlations with the confirmed cases and deaths in the cold season (autumn and winter 2020-2021). The total COVID-19 cases negatively correlated with relative humidity but were not significant in all seasons. Besides, PM2.5 strongly correlated with COVID-19 confirmed cases for the summer of 2020. The death distribution by age group showed the highest deaths for those aged 60-69. The highest number of deaths was 41% in the summer of 2020. The study provided useful information about the COVID-19 health emergency and meteorological parameters, which can be used for future health disaster planning, adopting prevention strategies and providing healthcare procedures to protect against future infraction transmission.

SUBMITTER: Hashim BM

PROVIDER: S-EPMC10277160 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Seasonal correlation of meteorological parameters and PM<sub>2.5</sub> with the COVID-19 confirmed cases and deaths in Baghdad, Iraq.

Hashim Bassim Mohammed BM Al-Naseri Saadi K SK Hamadi Alaa M AM Mahmood Tahani Anwar TA Halder Bijay B Shahid Shamsuddin S Yaseen Zaher Mundher ZM

International journal of disaster risk reduction : IJDRR 20230618

The COVID-19 pandemic was a serious global health emergency in 2020 and 2021. This study analyzed the seasonal association of weekly averages of meteorological parameters, such as wind speed, solar radiation, temperature, relative humidity, and air pollutant PM2.5, with confirmed COVID-19 cases and deaths in Baghdad, Iraq, a major megacity of the Middle East, for the period June 2020 to August 2021. Spearman and Kendall correlation coefficients were used to investigate the association. The resul ...[more]

PMID: 37360250

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Project description:With the continuous promotion of urbanization in China, air pollution problems have become increasingly prominent in recent years. Various factors, such as emissions, meteorology, and physical and chemical reactions, jointly affect the severity of PM2.5 pollution to a large extent. This study selected five meteorological variables (planetary boundary layer height (PBLH), wind speed (WS), temperature(T), water vapor mixing ratio(Q), and precipitation (PCP)) for perturbation, and 21 different scenarios were set up. In this study, the effects of changes in a single meteorological variable on the pollutants produced in the area were represented by subtracting the baseline scenario (i.e., without perturbation of meteorological variables) simulated in January 2017 separately from each post-disturbance scenario. The results showed that Handan (HD) has the highest annual mean PM2.5 concentration of 85.75 μg/m3 in 2017, while all cities in study area exceeded the secondary concentration limit of urban atmospheric particulate matter. The correlation coefficient (R) between the simulation values of models and the actual monitoring values ranges from 0.41 to 0.74, indicating good model performance and acceptable simulation errors. PBLH (±10%-±20%), WS(±10%-±20%), and PCP(±10%-±20%) all showed a single adverse effect among the five meteorological variables, meaning that a reduction in these three factors led to an increase in PM2.5 concentrations. However, T (±1 K-±1.5 K) and Q (±10%-±20%) could indicate a positive impact under certain conditions. From the sensitivity calculations of single meteorological variables, it is clear that WS, PBLH, and PCP show a highly linear trend in all cities at the 0.01 level of significance. The hypothesis that T changes linearly in 10 cities in the study area is valid, while for Q, the hypothesis that Q changes linearly only occurs in Shijiazhuang and Baoding. When different meteorological variables are disturbed, there are significant spatial differences in the main affected areas of PM2.5 concentrations. By discussing the impact of meteorological variable disturbance on air quality in critically polluted cities in China, this study identified the meteorological variables that can substantially affect PM2.5 concentration. The more complex T and Q should be considered when formulating relevant emission measures.

Dataset Information

Seasonal correlation of meteorological parameters and PM_2.5 with the COVID-19 confirmed cases and deaths in Baghdad, Iraq.

Publications

Seasonal correlation of meteorological parameters and PM<sub>2.5</sub> with the COVID-19 confirmed cases and deaths in Baghdad, Iraq.

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Dataset Information

Seasonal correlation of meteorological parameters and PM2.5 with the COVID-19 confirmed cases and deaths in Baghdad, Iraq.

Publications

Seasonal correlation of meteorological parameters and PM<sub>2.5</sub> with the COVID-19 confirmed cases and deaths in Baghdad, Iraq.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Seasonal correlation of meteorological parameters and PM_2.5 with the COVID-19 confirmed cases and deaths in Baghdad, Iraq.