Evidence map›Paper›PMID 39828683›Full record

ArticleBMC public health2025

Impact of COVID-19 vaccinations in India: a state-wise analysis.

Abhigayan Adhikary, Manoranjan Pal, Raju Maiti

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Abhigayan AdhikaryEconomic Research Unit, Indian Statistical Institute, Kolkata, India. abhigayan1999@gmail.com.
Manoranjan PalEconomic Research Unit, Indian Statistical Institute, Kolkata, India.
Raju MaitiEconomic Research Unit, Indian Statistical Institute, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEver since the emergence of COVID-19 and its consequent spread across continents, engulfing both advanced and developing nations, COVID-19 vaccine was considered to be the main weapon to curb the spread of the virus. The COVID-19 vaccination program in India started after the first wave of infections (March - December 2020) had almost subsided.

objectiveIn this work, the objective is to perform a state-wise analysis to assess the impact of vaccination in slowing down the spread of infections during the second COVID-19 wave (February - October 2021) in India. The prediction accuracy of the proposed model with the optimal lag length (in days) after including the impact of vaccination is evaluated and compared with a model without it. A total of 21 states are chosen for the analysis encompassing 97% of the Indian population.

methodsWe use the generalized Gompertz curve to study the COVID-19 outbreak. The generalized Gompertz model is then further modified to study the impact of vaccination to slow down the spread of COVID-19. The modified model considers the cumulative proportion of individuals having the first COVID-19 vaccine shot in each state as the explanatory variable.

resultsBy incorporating the impact of vaccination in the Generalized Gompertz Curves, it is seen that the visible impact of the first dose of the vaccination is observed after a lag of 20 days with 16 out of the 21 states showing the impact of vaccines in curbing the spread of COVID-19. However, in states like Telangana, West Bengal, Tamil Nadu, Rajasthan, and Kerala, we do not conclusively observe the impact of vaccination during the study period.

conclusionsUsing only COVID-19 infection cases and the vaccination data in the proposed model, we conclude that overall, the vaccination program effectively curbed the spread of COVID-19 in India.

Indexed as

COVID-19COVID-19 VaccinesImmunization ProgramsVaccinationHumansIndiaModels, StatisticalSARS-CoV-2COVID-19 VaccinesCOVID-19Disease modellingForecastingGeneralized Gompertz CurvesTime SeriesVaccinations

Identifiers

PMID39828683
PMCPMC11744852

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