Evidence map›Paper›PMID 33623192›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Effect of Seasonal Variations on Infant Mortality Rate of Some Selected Districts of Jammu Division.

Manjeet Kumar, Vijay Kumar Shivgotra

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. 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

What it found

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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.

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

2 authors.

Manjeet KumarDepartment of Statistics, University of Jammu, Jammu, Jammu and Kashmir, India.
Vijay Kumar ShivgotraDepartment of Statistics, University of Jammu, Jammu, Jammu and Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe infant and child mortality rates are considered as sensitive indicators of living and socioeconomic conditions of a country. The infant mortality rate is regarded as most of the revealing measures of how well a society is meeting the needs of its people.

objectiveThe purpose of the study is to determine the effect of seasonal variations on the infant mortality in some selected districts of Jammu Division, J&K. METHODOLOGY: In the present study, infant mortality data were collected for the 6 consecutive years (2013-2018) from different health centers of four districts of Jammu Division and Jammu Municipal Corporation (JMC), J&K. The seasonal variations of overall infant deaths were analyzed using the monthly mortality data collected for the study period. Poisson regression model was employed to measure the seasonal effects on the overall infant deaths. Data analysis was done using software IBM SPSS 24.0.

resultsIn this study, a total of 4443 infant deaths were recorded from selected districts of Jammu Division, J&K, from the year 2013-2018. The prevalence of infant deaths was extremely high in the month of January as compared to the reference month June. Furthermore, the parameter estimates for each of the months along with 95% Wald confidence interval were calculated.

conclusionsThe present study concludes that seasonal variations significantly affect the infant mortality in Jammu Division, J&K, India. The policymakers must consider the effect of seasons on infant mortality as children in their 1

Indexed as

Autocorrelationinfant mortalitynegative binomial regressionPoisson regressionseasonal index

Identifiers

PMID33623192
PMCPMC7877406

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