Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study

Richa Changulani, Manoj Bansal, D. Shukla
{"title":"Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study","authors":"Richa Changulani, Manoj Bansal, D. Shukla","doi":"10.5455/jmas.52244","DOIUrl":null,"url":null,"abstract":"The novel Coronavirus outbreak was originated from Wuhan, China, was first reported in India on 30th January 2020. The impact of an epidemic depends on the number of persons infected, infection transmissibility and the spectrum of clinical severity. To determine the impact of outbreak, analysis of the existing record was done. The objective of this study was to determine the demographic factors, case fatality rate, its association and trend was observed among positive cases reported in Gwalior district. Covid-19 related data collected at the IDSP unit of Gwalior District was analysed. A total of 11281 case reported between 30th March to 11th October was included and their recorded data was analysed using mean, median, chi-square test and logistic regression analysis. The study shows that Mean age of the cases was 39.95±16.75 while their median age was 38.0 (27.0-52.0). Maximum cases were in the age group of 21-30 (25.6%). On assessing the current status, 94.7% patients were discharged from isolation/treatment facility, 4% case were active while 1.3% died. Risk Ratio (Odds Ratio) for death was calculated for different characteristics. It was concluded from the present study that the outcome of disease was found statistically significant in age groups, residence in containment area and isolation status among patients by using logistic regression analysis. Also, no gender predilection of the disease and its mortality.","PeriodicalId":16176,"journal":{"name":"Journal of Medical and Allied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical and Allied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5455/jmas.52244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The novel Coronavirus outbreak was originated from Wuhan, China, was first reported in India on 30th January 2020. The impact of an epidemic depends on the number of persons infected, infection transmissibility and the spectrum of clinical severity. To determine the impact of outbreak, analysis of the existing record was done. The objective of this study was to determine the demographic factors, case fatality rate, its association and trend was observed among positive cases reported in Gwalior district. Covid-19 related data collected at the IDSP unit of Gwalior District was analysed. A total of 11281 case reported between 30th March to 11th October was included and their recorded data was analysed using mean, median, chi-square test and logistic regression analysis. The study shows that Mean age of the cases was 39.95±16.75 while their median age was 38.0 (27.0-52.0). Maximum cases were in the age group of 21-30 (25.6%). On assessing the current status, 94.7% patients were discharged from isolation/treatment facility, 4% case were active while 1.3% died. Risk Ratio (Odds Ratio) for death was calculated for different characteristics. It was concluded from the present study that the outcome of disease was found statistically significant in age groups, residence in containment area and isolation status among patients by using logistic regression analysis. Also, no gender predilection of the disease and its mortality.
印度中部某区COVID - 19大流行的趋势和决定因素:一项横断面研究
新型冠状病毒疫情起源于中国武汉,于2020年1月30日在印度首次报告。流行病的影响取决于受感染的人数、感染的传播能力和临床严重程度。为了确定爆发的影响,对现有记录进行了分析。本研究的目的是确定人口因素、病死率及其与瓜廖尔地区报告的阳性病例的关系和趋势。对瓜廖尔地区IDSP单位收集的Covid-19相关数据进行了分析。共纳入3月30日至10月11日报告的11281例病例,并采用均值、中位数、卡方检验和logistic回归分析对其记录资料进行分析。本组病例平均年龄为39.95±16.75岁,中位年龄为38.0(27.0 ~ 52.0)岁。以21 ~ 30岁年龄组最多(25.6%)。在评估现状时,94.7%的患者从隔离/治疗机构出院,4%的病例活跃,1.3%的病例死亡。计算不同特征的死亡风险比(Odds Ratio)。本研究采用logistic回归分析,发现患者的年龄、隔离区居住和隔离状态对疾病结局有统计学意义。此外,没有性别偏好的疾病和它的死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
1
审稿时长
6 weeks
×
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