Vasudevan Varun, Gnanasekaran Abeynaya, Bansal Bhavik, Lahariya Chandrakant, Parameswaran Giridara Gopal, Zou James
Institute for Computational & Mathematical Engineering, Stanford University, Stanford, California, United States of America.
All India Institute of Medical Sciences, New Delhi, India.
PLOS Glob Public Health. 2022 Apr 15;2(4):e0000329. doi: 10.1371/journal.pgph.0000329. eCollection 2022.
India is among the top three countries in the world both in COVID-19 case and death counts. With the pandemic far from over, timely, transparent, and accessible reporting of COVID-19 data continues to be critical for India's pandemic efforts. We systematically analyze the quality of reporting of COVID-19 data in over one hundred government platforms (web and mobile) from India. Our analyses reveal a lack of granular data in the reporting of COVID-19 surveillance, vaccination, and vacant bed availability. As of 5 June 2021, age and gender distribution are available for less than 22% of cases and deaths, and comorbidity distribution is available for less than 30% of deaths. Amid rising concerns of undercounting cases and deaths in India, our results highlight a patchy reporting of granular data even among the reported cases and deaths. Furthermore, total vaccination stratified by healthcare workers, frontline workers, and age brackets is reported by only 14 out of India's 36 subnationals (states and union territories). There is no reporting of adverse events following immunization by vaccine and event type. By showing what, where, and how much data is missing, we highlight the need for a more responsible and transparent reporting of granular COVID-19 data in India.
印度是世界上新冠肺炎病例数和死亡数排名前三的国家之一。鉴于疫情远未结束，及时、透明且可获取的新冠肺炎数据报告对于印度的疫情防控工作仍然至关重要。我们系统地分析了印度一百多个政府平台（网站和移动应用）上新冠肺炎数据的报告质量。我们的分析表明，在新冠肺炎监测、疫苗接种和空床情况报告中缺乏详细数据。截至2021年6月5日，病例和死亡病例中年龄和性别分布信息的报告比例不到22%，合并症分布信息的报告比例不到死亡病例的30%。在印度对病例和死亡人数漏报的担忧日益加剧之际，我们的结果凸显了即使在已报告的病例和死亡病例中，详细数据的报告也存在漏洞。此外，印度36个次国家级行政区（邦和联邦属地）中只有14个报告了按医护人员、一线工作人员和年龄组分层的疫苗接种总数。没有按疫苗和事件类型报告免疫接种后的不良事件。通过展示哪些数据缺失、缺失地点以及缺失数量，我们强调了印度需要更负责、更透明地报告新冠肺炎详细数据。
