Evidence map›Paper›PMID 33213404›Full record

ArticleBMC health services research2020

GIS-based approaches on the accessibility of referral hospital using network analysis and the spatial distribution model of the spreading case of COVID-19 in Jakarta, Indonesia.

Florence Elfriede Sinthauli Silalahi, Fahrul Hidayat, Ratna Sari Dewi, Nugroho Purwono, Nadya Oktaviani

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Mapping Access to Children's Hospitals in Texas.International journal of environmental research and public health · 2024
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  7. Review
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  13. COVID-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms.International journal of environmental research and public health · 2021
    Article
  14. 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

5 authors at 1 institution in 1 country.

Florence Elfriede Sinthauli SilalahiResearch Division of Geospatial Information Agency of Indonesia, Jalan Raya Bogor Km. 46, Cibinong, Bogor, Jawa Barat, 16911, Indonesia. florence.elfriede@big.go.id.ORCID https://orcid.org/0000-0001-9817-2190
Fahrul HidayatResearch Division of Geospatial Information Agency of Indonesia, Jalan Raya Bogor Km. 46, Cibinong, Bogor, Jawa Barat, 16911, Indonesia.ORCID https://orcid.org/0000-0002-8634-0641
Ratna Sari DewiResearch Division of Geospatial Information Agency of Indonesia, Jalan Raya Bogor Km. 46, Cibinong, Bogor, Jawa Barat, 16911, Indonesia.ORCID https://orcid.org/0000-0003-3396-2954
Nugroho PurwonoResearch Division of Geospatial Information Agency of Indonesia, Jalan Raya Bogor Km. 46, Cibinong, Bogor, Jawa Barat, 16911, Indonesia.ORCID https://orcid.org/0000-0002-8027-9712
Nadya OktavianiResearch Division of Geospatial Information Agency of Indonesia, Jalan Raya Bogor Km. 46, Cibinong, Bogor, Jawa Barat, 16911, Indonesia.ORCID https://orcid.org/0000-0003-4563-2071
Meteorological, Climatological, And Geophysical Agency · ID

Funding

Badan Informasi Geospasial DIPA 2020
6 · The paper itself

Abstract

backgroundThe outbreak of the novel coronavirus (COVID-19) has rapidly spread, causing million confirmed cases, thousands of deaths, and economic losses. The number of cases of COVID-19 in Jakarta is the largest in Indonesia. Furthermore, Jakarta is the capital city of Indonesia which has the densest population in the country. There is need for geospatial analysis to evaluate the demand in contrast to the capacity of Referral Hospitals and to model the spreading case of Covid-19 in order to support and organize an effective health service.

methodsWe used the data from local government publicity for COVID-19 as trusted available sources. By using the verifiable data by observation from the local government, we estimated the spatial pattern of distribution of cases to estimate the growing cases. We performed service area and Origin-Destination (OD) Cost Matrix in support to existing referral hospital, and to create Standard Deviational Ellipse (SDE) model to determine the spatial distribution of COVID-19.

resultsWe identified more than 12.4 million people (86.7%) based on distance-based service area, live in the well served area of the referral hospital. A total 2637 positive-infected cases were identified and highly concentrated in West Jakarta (1096 cases). The results of OD cost matrix in a range of 10 km show a total 908 unassigned cases from 24 patient's centroid which was highly concentrated in West Jakarta.

conclusionsOur results indicate the needs for additional referral hospitals specializing in the treatment of COVID-19 and spatial illustration map of the growth of COVID-19' case in support to the implementation of social distancing in Jakarta.

Indexed as

AdolescentAdultChildChild, PreschoolCitiesCoronavirus InfectionsCOVID-19FemaleGeographic Information SystemsHealth Services AccessibilityHumansIndonesiaMaleMiddle AgedModels, TheoreticalPandemicsCOVID-19GISHealth careNetwork analysisOrigin-destination cost matrixReferral hospitalService areaSpatial distributionStandard deviational ellipse

Identifiers

PMID33213404
PMCPMC7677106
OpenAlexW3104532761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.