Evidence map›Paper›PMID 37323726›Full record

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

Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019.

Aman Sachdeva, Ramesh Verma, Ginni Agrawal, Vinay, Jitesh Satija

Open access · goldAbstract 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Aman SachdevaDepartment of Community Medicine, Pt. B.D. Sharma PGIMS, Rohtak, Haryana, India.
Ramesh VermaDepartment of Community Medicine, Pt. B.D. Sharma PGIMS, Rohtak, Haryana, India.
Ginni AgrawalDepartment of Community Medicine, Pt. B.D. Sharma PGIMS, Rohtak, Haryana, India.
VinayDepartment of Community Medicine, Pt. B.D. Sharma PGIMS, Rohtak, Haryana, India.
Jitesh SatijaDepartment of Community Medicine, Pt. B.D. Sharma PGIMS, Rohtak, Haryana, India.
Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infant mortality is an important health indicator of a population given its strong link to socioeconomic status, health service access, and quality and maternal health. The declining trend of Infant Mortality Rate has been observed in India where it reduced from 89 deaths per 1000 live births in 1990 to 28 deaths per 1000d live births in 2019. Most of the studies regarding the trend of infant mortality are state-based, however, state-level infant mortality has masked the intradistrict clustering of individual infant deaths. Hence, this study was planned with an objective to study the trend of infant mortality at the district level. Material and Methods: A retrospective study was conducted in the district Rohtak of Haryana using the data collected regarding infant deaths. The collected data regarding addresses were geocoded. The resulting layer was then analyzed using QGIS v3.10. The descriptive data was analyzed using SPSS v20.0. Result: In total, 1336 infant deaths during the study period were included. A declining trend of infant mortality was observed over the study period. The number of grids (25 km Conclusion: This study emphasizes on the importance of using the geographic information science technique in identifying local hotspots within the district so as to find areas that need more support and observation.

Indexed as

Geographic information sciencehotspotsIndiainfant mortalityspatiotemporaltrend

Identifiers

PMID37323726
PMCPMC10263054
OpenAlexW4362710298

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.