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印度的 SARS-CoV-2 疫情:流行病学特征及干预效果分析。

SARS-CoV-2 epidemic in India: epidemiological features and analysis of the effect of interventions.

机构信息

All India Institute of Medical Sciences, New Delhi, Delhi, India.

All India Institute of Medical Sciences, Raebareli, Uttar Pradesh, India.

出版信息

F1000Res. 2020 Apr 30;9:315. doi: 10.12688/f1000research.23496.2. eCollection 2020.

Abstract

: After SARS-CoV-2 set foot in India, the Government took a number of steps to limit the spread of the virus in the country. This included restricted testing, isolation, contact tracing and quarantine, and enforcement of a nation-wide lockdown starting 25 March 2020. The objectives of this study were to i) describe the age, gender distribution, and mortality among COVID-19 patients identified till 14 April 2020 and predict the range of contact rate; and ii) predict the number of  COVID-19 infections after 40 days of lockdown. : We used a cross-sectional descriptive design for the first objective and a susceptible-infected-removed model for predictions. We collected data from government-controlled and crowdsourced websites. : Studying age and gender parameters of 1161 Indian COVID-19 patients, the median age was 38 years (IQR, 27-52) with 20-39 year-old males being the most affected group. The number of affected patients were 854 (73.6%) men and 307 (26.4%) women. If the current contact rate continues (0.25-27), India may have 110460 to 220575 infected persons at the end of 40 days lockdown. : The disease is majorly affecting a younger age group in India. Interventions have been helpful in preventing the worst-case scenario in India but will be unable to prevent the spike in the number of cases.

摘要

在 SARS-CoV-2 进入印度之后,政府采取了多项措施来限制该国病毒的传播。这些措施包括限制检测、隔离、接触者追踪和检疫,并从 2020 年 3 月 25 日开始实施全国封锁。本研究的目的是:i)描述截至 2020 年 4 月 14 日已确诊的 COVID-19 患者的年龄、性别分布和死亡率,并预测接触率范围;ii)预测封锁 40 天后 COVID-19 感染的人数。我们使用横断面描述性设计来实现第一个目标,并使用易感染者-清除者模型进行预测。我们从政府控制的网站和众包网站收集数据。通过研究 1161 名印度 COVID-19 患者的年龄和性别参数,中位年龄为 38 岁(IQR,27-52),20-39 岁男性受影响最大。受影响的患者中,男性 854 人(73.6%),女性 307 人(26.4%)。如果当前的接触率保持在 0.25-27 之间,那么在封锁 40 天后,印度可能会有 110460 到 220575 人感染。该疾病主要影响印度的年轻人群。干预措施有助于防止印度出现最坏情况,但无法防止病例数量的激增。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b2d/7324946/654125bf36f0/f1000research-9-27375-g0000.jpg

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