ArticleInfluenza and other respiratory viruses2018
Evaluation of data sources and approaches for estimation of influenza-associated mortality in India.
Article in Influenza and other respiratory viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Perceptions of respiratory tract infections and their implications for disease prevention practices among older adults in Mysuru, India.PLOS global public health · 2025Article
- Exploratory analysis of the suitability of data from the civil registration system for estimating excess mortality due to COVID-19 in Faridabad district of India.The Indian journal of medical research · 2022Article
- Burden of influenza-associated respiratory and circulatory mortality in India, 2010-2013.Journal of global health · 2020Article
- Evaluation of data sources and approaches for estimation of influenza-associated mortality in India.Influenza and other respiratory viruses · 2018Article
- Advances in measuring influenza burden of disease.Influenza and other respiratory viruses · 2018Article
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Authors and funding
11 authors.
Funding
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Abstract
backgroundNo estimates of influenza-associated mortality exist for India.
objectiveTo evaluate national mortality and viral surveillance data from India for assessing their appropriateness in estimating influenza-associated mortality using varied analytic approaches.
methodsWe reviewed influenza virus surveillance data from a national influenza surveillance network. We also reviewed national mortality data from Civil Registration System (CRS), Medical Certification of Cause of Death (MCCD) and the Sample Registration System (SRS). We compared and scored the different sources of mortality data using specific criteria, including the process of cause of death assignment, sample size, proportion of ill-defined deaths, representativeness and availability of time series data. Each of these 5 parameters was scored on a scale from 1 to 5. To evaluate how to generate an influenza-associated mortality estimate for India, we also reviewed 4 methodologic approaches to assess the appropriateness of their assumptions and requirements for these data sets.
resultsThe influenza virus surveillance data included year-round sample testing for influenza virus and was found to be suitable for influenza mortality estimation modelling. Based on scoring for the 5 mortality data criteria, the SRS data had the highest score with 20 of 25 possible score, whereas MCCD and CRS scored 16 and 12, respectively. The SRS which used verbal autopsy survey methods was determined to be nationally representative and thus adequate for estimating influenza-associated mortality. Evaluation of the modelling methods demonstrated that Poisson regression, risk difference and mortality multiplier methods could be applied to the Indian setting.
conclusionDespite significant challenges, it is possible to estimate influenza-associated mortality in India.
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