Evidence map›Paper›PMID 42077982›Full record

ArticleFrontiers in public health2026

Geographical accessibility of cancer hospital using geospatial technology in Bagmati province, Nepal.

Basanta Kumar Neupane, Min Xu, Chunxiang Cao, Bipin Kumar Acharya, Yujie Yang, Shaohua Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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
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0citing papers in PubMed
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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.

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

6 authors.

Basanta Kumar NeupaneState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Min XuState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Chunxiang CaoState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Bipin Kumar AcharyaPlanetary Health Research Center, Kathmandu, Nepal.
Yujie YangState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Shaohua WangState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ensuring convenient access to cancer screening, diagnosis, and treatment is essential for mitigating and preventing the disease. Geographical accessibility plays a crucial role in cancer mitigation and healthcare planning, particularly in low-income countries such as Nepal. A spatial perspective is crucial for improving cancer mitigation planning and evidence-based policy formulation. This study examined the spatial accessibility and population coverage at the municipal level in Bagmati province, Nepal. Method: This study utilized spatial data, including LULC, DEM, OSM road networks, population distribution, and location of cancer hospitals, to calculate three different scenarios for reaching these hospitals. Based on that, a raster surface of travel time between residences and cancer hospitals was developed. We incorporated terrain, physical barriers, travel modes, speeds, and topography through various land-cover classes. Accordingly, underserved populations and zonal statistics were assessed using an interactive modeling approach to determine the spatial relationship between population, travel time, and zonal boundaries. Results: The motorized travel scenario exhibited the highest spatial accessibility, followed by the bicycling and walking scenarios. It varied significantly across the three scenarios. The motorized scenario has the highest accessibility, with 72.57% of people covered within a 30-min travel time. Motorized scenario has a maximum people coverage of 96.78% within a 360-min travel time. Kathmandu Valley and Chitawan urban areas showed higher accessibility across all scenarios, attributed to easy road networks. Rural and mountainous regions in the middle hills of the northern and eastern parts have low accessibility, attributed to steep slopes, scattered settlements, and sparse infrastructure. Conclusion: The findings demonstrate significant spatial disparities across various travel scenarios, underscoring the need for spatially informed health planning and policy development. These insights provide a foundation for addressing problems and enhancing cancer care delivery in Nepal using spatial techniques.

Indexed as

Cancer Care FacilitiesHealth Services AccessibilityNeoplasmsGeographic Information SystemsHumansNepalSpatial AnalysisTravelaccessibilityBagmati provincecancer hospitalinequalitiestravel scenario

Identifiers

PMID42077982
PMCPMC13133044

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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.