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| Association between meteorological indicators and COVID-19 pandemic in Pakistan | |
| Raza, Ali1; Khan, Muhammad Tariq Iqbal2; Ali, Qamar1; Hussain, Tanveer1; Narjis, Saadia3 | |
| 2020-10 | |
| 发表期刊 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
 |
| ISSN | 0944-1344 |
| EISSN | 1614-7499 |
| 摘要 | This study was designed to investigate the impact of meteorological indicators (temperature, rainfall, and humidity) on total COVID-19 cases in Pakistan, its provinces, and administrative units from March 10, 2020, to August 25, 2020. The correlation analysis showed that COVID-19 cases and temperature showed a positive correlation. It implies that the increase in COVID-19 cases was reported due to an increase in the temperature in Pakistan, its provinces, and administrative units. The generalized Poisson regression showed that the rise in the expected log count of COVID-19 cases was 0.024 times for a 1 degrees C rise in the average temperature in Pakistan. Second, the correlation between rainfall and COVID-19 cases was negative in Pakistan. However, the regression coefficient between the expected log count of COVID-19 cases and rainfall was insignificant in Pakistan. Third, the correlation between humidity and the total COVID-19 cases was negative, which implies that the increase in humidity is beneficial to stop the transmission of COVID-19 in Pakistan, its provinces, and administrative units. The reduction in the expected log count of COVID-19 cases was 0.008 times for a 1% increase in the humidity per day in Pakistan. However, humidity and COVID-19 cases were positively correlated in Sindh province. It is required to create awareness among the general population, and the government should include the causes, symptoms, and precautions in the educational syllabus. Moreover, people should adopt the habit of hand wash, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to control the COVID-19. |
| 关键词 | Dose-response Generalized additive model Humidity Temperature Rainfall Generalized Poisson regression |
| DOI | 10.1007/s11356-020-11203-2 |
| WOS关键词 | CLIMATE-CHANGE ; TIME-SERIES ; RAINFALL ; HUMIDITY ; WEATHER |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| 出版者 | SPRINGER HEIDELBERG |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 专题 | 新冠肺炎 循证社会科学证据集成 |
| 作者单位 | 1.Virtual Univ Pakistan; 2.Govt Postgrad Coll; 3.Govt Coll Univ |
| 推荐引用方式 GB/T 7714 | Raza, Ali,Khan, Muhammad Tariq Iqbal,Ali, Qamar,et al. Association between meteorological indicators and COVID-19 pandemic in Pakistan[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2020. |
| APA | Raza, Ali,Khan, Muhammad Tariq Iqbal,Ali, Qamar,Hussain, Tanveer,&Narjis, Saadia.(2020).Association between meteorological indicators and COVID-19 pandemic in Pakistan.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. |
| MLA | Raza, Ali,et al."Association between meteorological indicators and COVID-19 pandemic in Pakistan".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020). |
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| Raza-Association bet（2077KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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