Literature DB >> 33472784

Estimating under-reporting of COVID-19 cases in Indian states: an approach using a delay-adjusted case fatality ratio.

Jayakrishnan Unnikrishnan1, Sujith Mangalathu2, Raman V Kutty3.   

Abstract

OBJECTIVES: The COVID-19 pandemic has spread to all states in India. Due to limitations in testing coverage, the true extent of the spread may not be fully reflected in the reported cases. In this study, we obtain time-varying estimates of the fraction of COVID-19 infections reported in the different states.
METHODS: Following a methodology developed in prior work, we use a delay-adjusted case fatality ratio to estimate the true fraction of cases reported in different states. We also develop a delay adjusted test positivity estimation method and study the relationship between the estimated test positivity rate for each state and the estimated fraction of cases reported.
SETTING: We apply this method of analysis to all Indian states reporting at least 100 deaths as of 10 October 2020.
RESULTS: Our analysis suggests that delay-adjusted case fatality ratios observed in different states range from 0.47% to 3.55%. The estimated fraction of cases reported in different states ranges from 39% to 100% for an assumed baseline case fatality ratio of 1.38%, from 18.6% to 100% for an assumed baseline case fatality ratio of 0.66%, and from 2.8% to 19.7% for an assumed baseline case fatality ratio of 0.1%. We also demonstrate a statistically significant negative relationship between the fraction of cases reported in each state and the testing positivity rate.
CONCLUSIONS: The estimates provide a means to quantify and compare the trends of reporting and the true level of current infections in different states. This information may be used to guide policies for prioritising testing in different states, and also to analyse the time-varying effects of different quarantine measures adopted in different states. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  infectious diseases; public health; statistics & research methods

Year:  2021        PMID: 33472784     DOI: 10.1136/bmjopen-2020-042584

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  2 in total

1.  How many more? Under-reporting of the COVID-19 deaths in Brazil in 2020.

Authors:  Emil Kupek
Journal:  Trop Med Int Health       Date:  2021-06-06       Impact factor: 3.918

2.  Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India.

Authors:  Mahesh S Dhar; Robin Marwal; Radhakrishnan Vs; Kalaiarasan Ponnusamy; Bani Jolly; Rahul C Bhoyar; Viren Sardana; Salwa Naushin; Mercy Rophina; Thomas A Mellan; Swapnil Mishra; Charles Whittaker; Saman Fatihi; Meena Datta; Priyanka Singh; Uma Sharma; Rajat Ujjainiya; Nitin Bhatheja; Mohit Kumar Divakar; Manoj K Singh; Mohamed Imran; Vigneshwar Senthivel; Ranjeet Maurya; Neha Jha; Priyanka Mehta; Vivekanand A; Pooja Sharma; Arvinden Vr; Urmila Chaudhary; Namita Soni; Lipi Thukral; Seth Flaxman; Samir Bhatt; Rajesh Pandey; Debasis Dash; Mohammed Faruq; Hemlata Lall; Hema Gogia; Preeti Madan; Sanket Kulkarni; Himanshu Chauhan; Shantanu Sengupta; Sandhya Kabra; Ravindra K Gupta; Sujeet K Singh; Anurag Agrawal; Partha Rakshit; Vinay Nandicoori; Karthik Bharadwaj Tallapaka; Divya Tej Sowpati; K Thangaraj; Murali Dharan Bashyam; Ashwin Dalal; Sridhar Sivasubbu; Vinod Scaria; Ajay Parida; Sunil K Raghav; Punit Prasad; Apurva Sarin; Satyajit Mayor; Uma Ramakrishnan; Dasaradhi Palakodeti; Aswin Sai Narain Seshasayee; Manoj Bhat; Yogesh Shouche; Ajay Pillai; Tanzin Dikid; Saumitra Das; Arindam Maitra; Sreedhar Chinnaswamy; Nidhan Kumar Biswas; Anita Sudhir Desai; Chitra Pattabiraman; M V Manjunatha; Reeta S Mani; Gautam Arunachal Udupi; Priya Abraham; Potdar Varsha Atul; Sarah S Cherian
Journal:  Science       Date:  2021-10-14       Impact factor: 47.728

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.