Akbar Fazal, Suleman Muhammad, Israr Muhammad, Ali Syed Shujait, Zaman Nasib, Khan Owais, Ali Jawad, Ahmad Waqar, Rahat Murad Ali, Rasool Akhtar, Shah Muzafar, Hussain Zahid, Ali Mohammad
Center for Biotechnology and Microbiology, University of Swat, Pakistan.
Department of Forensic Sciences, University of Swat-, Pakistan.
Gene Rep. 2022 Mar;26:101441. doi: 10.1016/j.genrep.2021.101441. Epub 2021 Nov 20.
Ongoing Coronavirus epidemic (COVID-19) identified first in Wuhan, China posed huge impact on public health and economy around the globe. Both cough and sneeze based droplets or aerosols encapsulated COVID-19 particles are responsible for airborne transmission of this virus and caused an unexpected escalation and high mortality worldwide. Current study intends to investigate the correlation of COVID-19 epidemic with meteorological parameters, particularly temperature and humidity. A data set of Epidemiological data of COVID-19 for highly infected provinces of Pakistan was collected from the official website of (https://www.covid.gov.pk/) and weather data was collected from (https://www.timeanddate.com/) during the time period of 1st March to 30th September 2020. The GrapPad prism 5 Software was used to calculate the mean and standard error of mean (SEM). In the current study the incident of daily covid cases is recorded higher in the month of June while the less number of case were reported in the month of May as compared to the other months (April, May, June, July, September and August) in the four province of Pakistan. We also find out that the incident of Covid19 were high at higher temperature (like the average temperature in the month of June 37 °C) while less cases were reported in May the average temperature was 29.5 °C. Furthermore the incident of covid cases were less reported at low humidity while more intendant with high humidity. Pearson's (r) determine the strength of the relationship between the variables. Pearson's correlation coefficient test employed for data analysis revealed that temperature average (TA) and average humidity is not a significant correlated with COVID-19 pandemic. The results obtained from the current analysis for selected parameters indirect correlation of COVID-19 transmission with temperature variation, and humidity. In the present study association of parameters is not correlated with COVID-19 pandemic, suggested need of more strict actions and control measures for highly populated cities. These findings will be helpful for health regulatory authorities and policy makers to take specific measures to combat COVID-19 epidemic in Pakistan.
最初在中国武汉发现的持续的冠状病毒疫情（COVID-19）对全球公共卫生和经济造成了巨大影响。基于咳嗽和打喷嚏产生的飞沫或气溶胶包裹着COVID-19颗粒，是这种病毒空气传播的原因，并在全球范围内导致了意外的疫情升级和高死亡率。当前的研究旨在调查COVID-19疫情与气象参数，特别是温度和湿度之间的相关性。在2020年3月1日至9月30日期间，从巴基斯坦（https://www.covid.gov.pk/）的官方网站收集了巴基斯坦高感染省份的COVID-19流行病学数据集，并从（https://www.timeanddate.com/）收集了天气数据。使用GraphPad prism 5软件计算平均值和平均标准误差（SEM）。在当前研究中，巴基斯坦四个省份中，6月份记录的每日新冠病例发生率高于其他月份（4月、5月、6月、7月、9月和8月），而5月份报告的病例数较少。我们还发现，COVID-19的发生率在较高温度下较高（如6月份的平均温度为37°C），而5月份报告的病例较少，平均温度为29.5°C。此外，低湿度时报告的新冠病例较少，而高湿度时则较多。皮尔逊（r）用于确定变量之间关系的强度。用于数据分析的皮尔逊相关系数检验显示，平均温度（TA）和平均湿度与COVID-19大流行没有显著相关性。当前对选定参数的分析结果表明，COVID-19传播与温度变化和湿度存在间接相关性。在本研究中，参数之间的关联与COVID-19大流行无关，这表明对人口密集城市需要采取更严格的行动和控制措施。这些发现将有助于卫生监管当局和政策制定者采取具体措施来抗击巴基斯坦的COVID-19疫情。
