Evidence map›Paper›PMID 41316253›Full record

ArticleBMC health services research2025

Geographical access to COVID-19 testing centers in India.

Sakshi Poddar, Anurag Gorkar, Varun Raj Passi, Harsh Thakkar, Avanti Andhale, Varad Puntambekar, Swasti Deshpande, Varun Gawande, Ayushi Patani, Maithili Kukade and 2 more

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Sakshi Poddar *Association for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Anurag Gorkar *Association for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Varun Raj Passi *Association for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Harsh Thakkar *Association for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Avanti AndhaleAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Varad PuntambekarAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Swasti DeshpandeAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Varun GawandeAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Ayushi PataniAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Maithili KukadeAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Sharvari MandeAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India.
Siddhesh ZadeyAssociation for Socially Applicable Research, D2 Sai Heritage, New DP Road, Aundh, Pune, Maharashtra, 411007, India. sidzadey@asarforindia.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeographic accessibility to testing constitutes an important part of pandemic preparedness. However, there is no data on access to COVID-19 testing centers in India. Our study looks at the current geographical accessibility to these testing centers across 36 states and union territories (UTs) and 735 districts.

methodsWe acquired the testing center geocodes from the Indian Council of Medical Research. We took motorized and walking travel-time friction surface rasters from the Malaria Atlas Project 2019 and high-resolution population estimates from WorldPop 2020. Using these, we examined the density of centers per million population and the travel time to the nearest center. We assessed the Access Population Coverage (APC), defined as the proportion of the population within 30 minutes by walking and 60 minutes by motorized transport from the nearest COVID-19 testing center.

resultsIndia has a density of 1·62 testing centers per million. The national median travel time (IQR) to the nearest COVID-19 testing center was 400·28 minutes by walking and 50·42 minutes by motorized transport. 11·08% of the population were within 30 minutes of a testing center by walking (range across districts: 0–100%). 85·88% of the population were within 60 minutes of the nearest testing center (range across districts: 0–71·86%). The APC was 81·51% within 60 minutes by motorized transport in rural vs. 97·87% in urban areas.

conclusionsThere are wide disparities across states/UTs and between rural and urban areas in accessibility to testing centers. Policymakers should note these disparities when setting up new testing centers.

trial registrationNot applicable.

Indexed as

COVID-19COVID-19 TestingHealth Services AccessibilityHumansIndiaPandemicsSARS-CoV-2TravelAccessibilityGeolocationsGeospatial access timePandemic preparednessTesting

Identifiers

PMID41316253
PMCPMC12661758

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LicenceCC BY-NC-ND
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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.