孟加拉国不同地区SARS-CoV-2病毒的发病率(AR)和感染死亡风险(IFR)的差异

P. Ghosh
{"title":"孟加拉国不同地区SARS-CoV-2病毒的发病率(AR)和感染死亡风险(IFR)的差异","authors":"P. Ghosh","doi":"10.35248/2329-891X.2020.8.352","DOIUrl":null,"url":null,"abstract":"Bangladesh has been identified the novel coronavirus disease 2019 (COVID-19) first cases by the Reverse Transcription Polymerase Chain Reaction (RT-PCR) test in March, 2020. As of 15 May 2020, Bangladesh has reported 20,065 confirmed cases. We aimed to assess the variation in the attack rate (AR), sample test, positivity rate and infection fatality risk (IFR) related to COVID-19 patients in these divisions. The number of testing COVID-19 samples by RT-PCR per 100000 populations was the highest in Dhaka (271) and lowest in Barishal (33). Dhaka is the most overcrowded division (1751 per square kilometers). We found that the highest sample tested (271 per 100000), higher attack rate (AR) (386 per million) and positivity rate (14.2%) in Dhaka division compared to those of the other 7 divisions. Rajshahi is the lowest densely-populated division, was the most infected fatality risk (IFR) (11%) compared to the other 7 divisions. This study suggests that more sample testing would be necessary to explore the burden of COVID-19 and mortality rate in the adult population and rural communities.","PeriodicalId":74002,"journal":{"name":"Journal of tropical diseases & public health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Dissimilarity of Attack Rate (AR) of SARS-CoV-2 Virus and Infection Fatality Risk (IFR) Across Different Divisions of Bangladesh\",\"authors\":\"P. Ghosh\",\"doi\":\"10.35248/2329-891X.2020.8.352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bangladesh has been identified the novel coronavirus disease 2019 (COVID-19) first cases by the Reverse Transcription Polymerase Chain Reaction (RT-PCR) test in March, 2020. As of 15 May 2020, Bangladesh has reported 20,065 confirmed cases. We aimed to assess the variation in the attack rate (AR), sample test, positivity rate and infection fatality risk (IFR) related to COVID-19 patients in these divisions. The number of testing COVID-19 samples by RT-PCR per 100000 populations was the highest in Dhaka (271) and lowest in Barishal (33). Dhaka is the most overcrowded division (1751 per square kilometers). We found that the highest sample tested (271 per 100000), higher attack rate (AR) (386 per million) and positivity rate (14.2%) in Dhaka division compared to those of the other 7 divisions. Rajshahi is the lowest densely-populated division, was the most infected fatality risk (IFR) (11%) compared to the other 7 divisions. This study suggests that more sample testing would be necessary to explore the burden of COVID-19 and mortality rate in the adult population and rural communities.\",\"PeriodicalId\":74002,\"journal\":{\"name\":\"Journal of tropical diseases & public health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of tropical diseases & public health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35248/2329-891X.2020.8.352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of tropical diseases & public health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35248/2329-891X.2020.8.352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

孟加拉国于2020年3月通过逆转录聚合酶链反应(RT-PCR)检测确定了2019年新型冠状病毒病(COVID-19)首例病例。截至2020年5月15日,孟加拉国报告了20,065例确诊病例。我们的目的是评估这些地区与COVID-19患者相关的发病率(AR)、样本检测、阳性率和感染死亡风险(IFR)的变化。每10万人中通过RT-PCR检测COVID-19样本的数量在达卡最高(271),在巴里沙尔最低(33)。达卡是最拥挤的地区(每平方公里1751人)。我们发现,与其他7个地区相比,达卡地区的检测样本最高(271 / 10万),发病率(386 / 100万)和阳性率(14.2%)较高。拉杰沙希是人口密度最低的区,与其他7个区相比,感染死亡风险最高(11%)。这项研究表明,需要更多的样本检测来探索成人和农村社区的COVID-19负担和死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Dissimilarity of Attack Rate (AR) of SARS-CoV-2 Virus and Infection Fatality Risk (IFR) Across Different Divisions of Bangladesh
Bangladesh has been identified the novel coronavirus disease 2019 (COVID-19) first cases by the Reverse Transcription Polymerase Chain Reaction (RT-PCR) test in March, 2020. As of 15 May 2020, Bangladesh has reported 20,065 confirmed cases. We aimed to assess the variation in the attack rate (AR), sample test, positivity rate and infection fatality risk (IFR) related to COVID-19 patients in these divisions. The number of testing COVID-19 samples by RT-PCR per 100000 populations was the highest in Dhaka (271) and lowest in Barishal (33). Dhaka is the most overcrowded division (1751 per square kilometers). We found that the highest sample tested (271 per 100000), higher attack rate (AR) (386 per million) and positivity rate (14.2%) in Dhaka division compared to those of the other 7 divisions. Rajshahi is the lowest densely-populated division, was the most infected fatality risk (IFR) (11%) compared to the other 7 divisions. This study suggests that more sample testing would be necessary to explore the burden of COVID-19 and mortality rate in the adult population and rural communities.
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
自引率
0.00%
发文量
0
期刊最新文献
Prevalence of Malnutrition Among Elderly. A Community Based Cross Sectional Study From Ernakulam Kerala Fractionation of methanolic extracts from two herbaceous plants and evaluation of their larvicidal activity on Anopheles arabiensis. Covid-19 in the elderly: Insight into Symptomatology. Malaria as a public health problem and SWOT analysis of program approach-A Case Study from Baran District Rajasthan REVIEW ON EPIDEMIOLOGY OF FOOT AND MOUTH DISEASE (FMD) IN ETHIOPIA
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1