Evidence map›Paper›PMID 33995766›Full record

ArticleThe Pan African medical journal2021

Use of geographic information systems web mapping application to support active case search to guide public health and social measures in the context of COVID-19 in Zimbabwe: a preliminary report to guide replication of methods in similar resource settings.

Isah Mohammed Bello, Thandekile Ntombikayise Moyo, Manes Munyanyi, Godwin Ubong Akpan, Irene Isibor, Lincoln Charimari Sunganai, Abubakar Sadiq Umar, Ravi Shankar Santhana Gopala Krishnan, Kebba Touray, Maxwell Rupfutse and 4 more

Abstract read
In one paragraph

Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

14 authors.

Isah Mohammed BelloWorld Health Organization, Inter-Country Support Team office for East and Southern Africa, Harare, Zimbabwe.
Thandekile Ntombikayise MoyoWorld Health Organization, African Regional Office, Brazzaville, Congo.
Manes MunyanyiWorld Health Organization, Harare, Zimbabwe.
Godwin Ubong AkpanWorld Health Organization, Headquarters, Geneva, Switzerland.
Irene IsiborWorld Health Organization, African Regional Office, Brazzaville, Congo.
Lincoln Charimari SunganaiWorld Health Organization, African Regional Office, Brazzaville, Congo.
Abubakar Sadiq UmarWorld Health Organization, Headquarters, Geneva, Switzerland.
Ravi Shankar Santhana Gopala KrishnanMinistry of Health and Child Care, Harare, Zimbabwe.
Kebba TourayWorld Health Organization, Headquarters, Geneva, Switzerland.
Maxwell RupfutseWorld Health Organization, African Regional Office, Brazzaville, Congo.
Portia ManangaziraWorld Health Organization, Harare, Zimbabwe.
Alex Gasasira NtaleWorld Health Organization, African Regional Office, Brazzaville, Congo.
Daniel FussumWorld Health Organization, Inter-Country Support Team office for East and Southern Africa, Harare, Zimbabwe.
Pascal MkandaWorld Health Organization, Headquarters, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionthe new coronavirus (COVID-19) that emerged from Wuhan, Hubei Province of China in December 2019, causing severe acute respiratory syndrome (SARS) has fast spread across the entire globe, with most countries struggling to slow and reduce the spread of the virus through rapid screening, testing, isolation, case management, contact tracing, implementing social distancing and lockdowns. This has been shown to be a major factor in countries that have been successful in containing COVID-19 transmission. Early detection of cases is important, and the use of geospatial technology can support to detect and easily identify potential hotspots that will require timely response. The use of spatial analysis with geographic information systems (GIS) had proved to be effective in providing timely and effective solutions in supporting epidemic response and pandemics over the years. It has developed and evolved rapidly with a complete technological tool for representing data, model construction, visualization and platform construction among others.

methodswe conducted a geospatial analysis to develop a web mapping application using ArcMap and ArcGIS online to guide and support active case search of potential COVID-19 cases, within 500m radius of COVID-19 confirmed cases to improve detection and testing of suspected cases.

resultsthe web mapping application tool guides the active case search teams in the field, with clear boundaries on the houses to be visited within 500-meter radius of confirmed positive cases, to conduct active case search of all cases of severe acute respiratory illnesses (SARI), acute respiratory illnesses (ARI), pneumonia etc, to detect and test for COVID-19 towards containing the pandemic.

conclusionthe use of GIS and spatial statistical tools have become an important and valuable tool in decision-making and, more importantly, guiding health care professional and other stakeholders in the response being carried out in a more coherent and easy manner. It has proven to be effective in supporting the active case search process to rapidly detect, test and isolate cases during the process, towards containing the COVID-19 pandemic.

Indexed as

Geographic Information SystemsPublic HealthCOVID-19Cross-Sectional StudiesHumansSevere Acute Respiratory SyndromeSpatial AnalysisZimbabweactive case searchCOVID19geo-spatial analysisGISZimbabwe

Identifiers

PMID33995766
PMCPMC8077638

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LicenceCC BY
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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.