Evidence map›Paper›PMID 39049977›Full record

ArticleThe Lancet regional health. Southeast Asia2024

Assessment of geographical accessibility to COVID-19 testing facilities in Nepal (2021).

Parvathy Krishnan Krishnakumari, Hannah Bakker, Nadia Lahrichi, Fannie L Côté, Joaquim Gromicho, Arunkumar Govindakarnavar, Priya Jha, Saugat Shrestha, Rashmi Mulmi, Nirajan Bhusal and 6 more

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

16 authors.

Parvathy Krishnan KrishnakumariAmsterdam Business School, University of Amsterdam, Amsterdam, The Netherlands.
Hannah BakkerKarlsruhe Institute of Technology, Karlsruhe, Germany.
Nadia LahrichiDepartment of Mathematical and Industrial Engineering - Polytechnique Montréal, Canada.
Fannie L CôtéDepartment of Mathematical and Industrial Engineering - Polytechnique Montréal, Canada.
Joaquim GromichoAmsterdam Business School, University of Amsterdam, Amsterdam, The Netherlands.
Arunkumar GovindakarnavarWorld Health Organization Country Office for Nepal, Kathmandu, Nepal.
Priya JhaWorld Health Organization Country Office for Nepal, Kathmandu, Nepal.
Saugat ShresthaWorld Health Organization Country Office for Nepal, Kathmandu, Nepal.
Rashmi MulmiWorld Health Organization Country Office for Nepal, Kathmandu, Nepal.
Nirajan BhusalWorld Health Organization Country Office for Nepal, Kathmandu, Nepal.
Deepesh StapithWorld Health Organization Country Office for Nepal, Kathmandu, Nepal.
Runa JhaNational Public Health Laboratory, Kathmandu, Nepal.
Lilee ShresthaNational Public Health Laboratory, Kathmandu, Nepal.
Reuben SamuelWorld Health Organization South East Asia Regional Office, New Delhi, India.
Dhamari NaidooWorld Health Organization South East Asia Regional Office, New Delhi, India.
Victor Del Rio VilasPrincipal Investigators, Project Lead.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: Ensuring equitable physical access to SARS-CoV-2 testing has proven to be crucial for controlling the COVID-19 epidemic, especially in countries like Nepal with its challenging terrain. During the second wave of the pandemic in May 2021, there was immense pressure to expand the laboratory network in Nepal to ensure calibration of epidemic response. The expansion led to an increase in the number of testing facilities from 69 laboratories in May 2021 to 89 laboratories by November 2021. We assessed the equity of physical access to COVID-19 testing facilities in Nepal during 2021. Furthermore, we investigated the potential of mathematical optimisation in improving accessibility to COVID-19 testing facilities. Methods: Based on up-to-date publicly available data sets and on the COVID-19-related daily reports published by Nepal's Ministry of Health and Population from May 1 to November 15, 2021, we measured the disparities in geographical accessibility to COVID-19 testing across Nepal at a resolution of 1 km Findings: The analysis identified vulnerable districts where, despite ramping up efforts, physical accessibility to testing facilities remains low under two modes of travel-walking and motorized driving. Both geographical accessibility and its equality were better under the motorised mode compared with the walking mode. If motorised transportation were available to everyone, the population coverage within 60 min of any testing facility (public and private) would be close to threefold the coverage for pedestrians within the same hour: 61.4% motorised against 22.2% pedestrian access within the hour, considering the whole population of Nepal. Very low accessibility was found in most areas except those with private test centres concentrated in the capital city of Kathmandu. The hypothetical use of mathematical optimisation to select 20 laboratories to add to the original 69 could have improved access from the observed 61.4% offered by the laboratories operating in November to 71.4%, if those 20 could be chosen optimally from all existing healthcare facilities in Nepal. In mountainous terrain, accessibility is very low and could not be improved, even considering all existing healthcare facilities as potential testing locations. Interpretation: The findings related to geographical accessibility to COVID-19 testing facilities should provide valuable information for health-related planning in Nepal, especially in emergencies where data might be limited and decisions time-sensitive. The potential use of publicly available data and mathematical optimisation could be considered in the future. Funding: WHO Special Programme for Research and Training in Tropical Diseases (TDR).

Indexed as

Access to COVID-19 diagnostic laboratoriesGeospatial data analysisOptimised location of health facilities

Identifiers

PMID39049977
PMCPMC11267066

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LicenceCC BY
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Registered trials

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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.