环境因素对巴基斯坦主要城市COVID-19病例和死亡率的影响

Q1 Social Sciences
Rabia Basray, Amber Malik, Wajiha Waqar, Ambreen Chaudhry, Muhammad Wasif Malik, Mumtaz Ali Khan, Jamil A. Ansari, Aamir Ikram
{"title":"环境因素对巴基斯坦主要城市COVID-19病例和死亡率的影响","authors":"Rabia Basray,&nbsp;Amber Malik,&nbsp;Wajiha Waqar,&nbsp;Ambreen Chaudhry,&nbsp;Muhammad Wasif Malik,&nbsp;Mumtaz Ali Khan,&nbsp;Jamil A. Ansari,&nbsp;Aamir Ikram","doi":"10.1016/j.jobb.2021.02.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Climate factors play an important role in the transmission of viruses, such as influenza viruses, MERS-CoV, and SARS-CoV-1. This study aimed to determine the relationship between changes in temperature, humidity, rainfall, and SARS-CoV-2 contagion. Five ecologically and climatically distinct regions were considered—Karachi, Lahore, Islamabad, Peshawar, and Gilgit-Baltistan.</p></div><div><h3>Method</h3><p>Data on daily COVID-19 cases and deaths were retrieved from government officials, while meteorological information was collected from Pakistan Meteorological Department.. Statistical analysis was performed using SPSS version 20 and the Spearman rank correlation test was used to analyze the correlation between the meteorological factors and COVID-19 cases and deaths.</p></div><div><h3>Result</h3><p>Positive correlation of COVID-19 incidence was observed with all the temperature ranges (maximum, minimum and average) and negative correlation was seen with humidity, DTR and rainfall. COVID-19 deaths were positively associated with temperature and were negatively associated only with humidity. Linear regression showed that for every unit increase in humidity, there was a −3.345 daily significant decrease in COVID-19 cases, while in Karachi for every unit increase in humidity, there remained a 10.104 daily significant increase in cases. In Gilgit-Baltistan, for every unit increase in average temperature and rainfall respectively, significant increases of 0.534 and 1.286 in daily cases were found.</p></div><div><h3>Conclusion</h3><p>This study signifies the effect of climate factors on COVID-19 incidence and mortality rate, but climate factors are not the only variable and several other interlinked factors enhance the spread of COVID-19. Hence, effective mitigation policies, enhancing testing capacities, and developing public attitudes toward adopting precautionary measures are important to overcome this overwhelming pandemic.</p></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"3 1","pages":"Pages 10-16"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jobb.2021.02.001","citationCount":"19","resultStr":"{\"title\":\"Impact of environmental factors on COVID-19 cases and mortalities in major cities of Pakistan\",\"authors\":\"Rabia Basray,&nbsp;Amber Malik,&nbsp;Wajiha Waqar,&nbsp;Ambreen Chaudhry,&nbsp;Muhammad Wasif Malik,&nbsp;Mumtaz Ali Khan,&nbsp;Jamil A. Ansari,&nbsp;Aamir Ikram\",\"doi\":\"10.1016/j.jobb.2021.02.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Climate factors play an important role in the transmission of viruses, such as influenza viruses, MERS-CoV, and SARS-CoV-1. This study aimed to determine the relationship between changes in temperature, humidity, rainfall, and SARS-CoV-2 contagion. Five ecologically and climatically distinct regions were considered—Karachi, Lahore, Islamabad, Peshawar, and Gilgit-Baltistan.</p></div><div><h3>Method</h3><p>Data on daily COVID-19 cases and deaths were retrieved from government officials, while meteorological information was collected from Pakistan Meteorological Department.. Statistical analysis was performed using SPSS version 20 and the Spearman rank correlation test was used to analyze the correlation between the meteorological factors and COVID-19 cases and deaths.</p></div><div><h3>Result</h3><p>Positive correlation of COVID-19 incidence was observed with all the temperature ranges (maximum, minimum and average) and negative correlation was seen with humidity, DTR and rainfall. COVID-19 deaths were positively associated with temperature and were negatively associated only with humidity. Linear regression showed that for every unit increase in humidity, there was a −3.345 daily significant decrease in COVID-19 cases, while in Karachi for every unit increase in humidity, there remained a 10.104 daily significant increase in cases. In Gilgit-Baltistan, for every unit increase in average temperature and rainfall respectively, significant increases of 0.534 and 1.286 in daily cases were found.</p></div><div><h3>Conclusion</h3><p>This study signifies the effect of climate factors on COVID-19 incidence and mortality rate, but climate factors are not the only variable and several other interlinked factors enhance the spread of COVID-19. Hence, effective mitigation policies, enhancing testing capacities, and developing public attitudes toward adopting precautionary measures are important to overcome this overwhelming pandemic.</p></div>\",\"PeriodicalId\":52875,\"journal\":{\"name\":\"Journal of Biosafety and Biosecurity\",\"volume\":\"3 1\",\"pages\":\"Pages 10-16\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.jobb.2021.02.001\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biosafety and Biosecurity\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2588933821000030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biosafety and Biosecurity","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2588933821000030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 19

摘要

气候因素在流感病毒、MERS-CoV和SARS-CoV-1等病毒的传播中发挥重要作用。这项研究旨在确定温度、湿度、降雨变化与SARS-CoV-2感染之间的关系。五个生态和气候截然不同的地区被认为是卡拉奇、拉合尔、伊斯兰堡、白沙瓦和吉尔吉特-巴尔蒂斯坦。方法每日COVID-19病例和死亡数据来源于政府官员,气象信息来源于巴基斯坦气象部门。采用SPSS version 20进行统计分析,采用Spearman秩相关检验分析气象因素与COVID-19病例和死亡的相关性。结果2019冠状病毒病发病率与最高、最低、平均气温均呈正相关,与湿度、DTR、降雨量呈负相关。COVID-19死亡与温度呈正相关,仅与湿度负相关。线性回归显示,每增加一个单位的湿度,新冠肺炎病例数每天显著减少- 3.345例,而在卡拉奇,每增加一个单位的湿度,新冠肺炎病例数每天显著增加10.104例。在吉尔吉特-巴尔蒂斯坦,平均气温和降雨量每增加一个单位,日病例数分别显著增加0.534和1.286。结论气候因素对COVID-19发病率和死亡率有影响,但气候因素不是唯一的变量,其他几个相互关联的因素促进了COVID-19的传播。因此,有效的缓解政策、加强检测能力和培养公众对采取预防措施的态度对于克服这一势不可当的大流行病非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of environmental factors on COVID-19 cases and mortalities in major cities of Pakistan

Introduction

Climate factors play an important role in the transmission of viruses, such as influenza viruses, MERS-CoV, and SARS-CoV-1. This study aimed to determine the relationship between changes in temperature, humidity, rainfall, and SARS-CoV-2 contagion. Five ecologically and climatically distinct regions were considered—Karachi, Lahore, Islamabad, Peshawar, and Gilgit-Baltistan.

Method

Data on daily COVID-19 cases and deaths were retrieved from government officials, while meteorological information was collected from Pakistan Meteorological Department.. Statistical analysis was performed using SPSS version 20 and the Spearman rank correlation test was used to analyze the correlation between the meteorological factors and COVID-19 cases and deaths.

Result

Positive correlation of COVID-19 incidence was observed with all the temperature ranges (maximum, minimum and average) and negative correlation was seen with humidity, DTR and rainfall. COVID-19 deaths were positively associated with temperature and were negatively associated only with humidity. Linear regression showed that for every unit increase in humidity, there was a −3.345 daily significant decrease in COVID-19 cases, while in Karachi for every unit increase in humidity, there remained a 10.104 daily significant increase in cases. In Gilgit-Baltistan, for every unit increase in average temperature and rainfall respectively, significant increases of 0.534 and 1.286 in daily cases were found.

Conclusion

This study signifies the effect of climate factors on COVID-19 incidence and mortality rate, but climate factors are not the only variable and several other interlinked factors enhance the spread of COVID-19. Hence, effective mitigation policies, enhancing testing capacities, and developing public attitudes toward adopting precautionary measures are important to overcome this overwhelming pandemic.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Biosafety and Biosecurity
Journal of Biosafety and Biosecurity Social Sciences-Linguistics and Language
CiteScore
6.00
自引率
0.00%
发文量
20
审稿时长
41 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信