All India Institute of Medical Sciences, New Delhi, Delhi, India.
All India Institute of Medical Sciences, Raebareli, Uttar Pradesh, India.
F1000Res. 2020 Apr 30;9:315. doi: 10.12688/f1000research.23496.2. eCollection 2020.
: 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.
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。