ArticleBMJ open2026
Cause-specific excess mortality in rural India during the COVID-19 pandemic 2020-2023: longitudinal analyses of deaths in 0.2 million rural health facilities.
Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIndia had an estimated three to five million excess deaths from causes attributable to SARS-CoV-2 during 2020-2021, far exceeding official government statistics. Most deaths in India occur in rural areas, where medical certification of deaths is limited. Yet, the effects of the pandemic in rural settings remain largely undocumented. We estimated the cause-specific excess mortality in rural areas of selected states of India.
designLongitudinal analyses of hospital mortality data. SETTINGS: India's Health Management Information System (HMIS) reports the number of deaths by cause for adolescents or adults aged 10 years or more. We examined eight states with high coverage of the expected number of deaths in rural areas.
participantsWe analysed monthly death reports from the HMIS, which covered approximately 0.2 million health facilities during 2018-2023. We compared excess deaths during the peak COVID-19 months in rural health facilities to pre-COVID-19 and non-peak periods of 2021, and categorised reported causes by their probable association with COVID-19. PRIMARY OUTCOME MEASURE: Excesses of cause-specific and total mortality.
resultsDuring the April-June 2021 SARS-CoV-2 wave, predominantly driven by the Delta variant, monthly deaths in rural health facilities across India surged from approximately 200 000 to 500 000. In eight states with high-quality reporting, rural facility deaths increased by 270% (95% CI 267% to 272%) compared with the same months in 2018-2019, prior to the COVID-19 pandemic. Notably, this surge occurred despite a sharp decline in hospital admissions following the national lockdown in March 2020. The largest relative increase was for fever-related and respiratory diseases, and these deaths were markedly elevated even when compared to non-peak months of 2021. Generalising these findings from eight states to all of rural India yields an estimate of approximately 2.6 million excess rural deaths in April-June 2021. In contrast, there were few excess deaths during the Omicron viral waves in 2022-2023.
conclusionCOVID-19 substantially increased deaths in rural India during April-June 2021, but reassuringly, no significant excess mortality was observed in subsequent years. The HMIS provides an important opportunity to strengthen routine mortality surveillance in rural India.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.