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COVID-19 mortality across selected states in India: the role of age structure.
Preprint
en Inglés
| medRxiv
| ID: ppmedrxiv-21259093
ABSTRACT
BackgroundMortality rates provide an opportunity to identify and act on the health system intervention for preventing deaths. Hence, it is essential to appreciate the influence of age structure while reporting mortality for a better summary of the magnitude of the epidemic. ObjectivesWe described and compared the pattern of COVID-19 mortality standardized by age between selected states and India from January to November 2020. MethodsWe initially estimated the Indian population for 2020 using the decadal growth rate from the previous census (2011). This was followed by estimations of crude and age-adjusted mortality rate per million for India and the selected states. We used this information to perform indirect standardization and derive the age-standardized mortality rates for the states for comparison. In addition, we derived a ratio for age-standardized mortality to compare across age groups within the state. We extracted information regarding COVID-19 deaths from the Integrated Disease Surveillance Programme special surveillance portal up to November 16, 2020. ResultsThe crude mortality rate of India stands at 88.9 per million population(118,883/1,337,328,910). Age-adjusted mortality rate (per million) was highest for Delhi (300.5) and lowest for Kerala (35.9).The age-standardized mortality rate (per million) for India is (<15 years=1.6, 15-29 years=6.3, 30-44 years=35.9, 45- 59 years=198.8, 60-74 years=571.2, [≥]75 years=931.6). The ratios for age-standardized mortality increase proportionately from 45-59 years age group across all the states. ConclusionThere is high COVID-19 mortality not only among the elderly ages, but we also identified heavy impact of COVID-19 on the working population. Therefore, we recommend further evaluation of age-adjusted mortality for all States and inclusion of variables like gender, socio-economic status for standardization while identifying at-risk populations and implementing priority public health actions.
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Texto completo:
Disponible
Colección:
Preprints
Base de datos:
medRxiv
Tipo de estudio:
Experimental_studies
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Estudio pronóstico
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Rct
Idioma:
Inglés
Año:
2021
Tipo del documento:
Preprint