Evidence map›Paper›PMID 38625363›Full record

ArticleGeoJournal2023

Africa's spatial data science landscape in the context of covid-19 pandemic.

Paddington Hodza, Cerian Gibbes, Francis Koti

Abstract read
In one paragraph

Article in GeoJournal, 2023. 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
0cells of the map it votes in
0citing 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

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

3 authors.

Paddington HodzaWyoming Geographic Information Science Center, University of Wyoming, 1000 E University Ave, Laramie, WY 82071 USA.ORCID 0000-0001-5012-3955
Cerian GibbesDepartment of Geography & Environmental Studies, University of Colorado Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO 80916 USA.ORCID 0000-0002-2388-0077
Francis KotiGlobal Studies and Human Geography, Middle Tennessee State University, Box 133, Murfreesboro, TN 37132 USA.ORCID 0000-0001-7822-9559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of Covid-19 pandemic in late 2019 presented daunting challenges for designing and implementing sustainable solutions at both local and global levels. The situation was dire in many developing economies with limited resources and vulnerable healthcare systems especially in Africa. Spatial data science (SDS) can be adopted and utilized to assist countries and local communities in understanding and effectively responding to Covid-19 pandemic. This article's study reviewed recent literature with the main goal to assess the application of this data-driven and technology-oriented modern approach in addressing Covid-19 in the African continent. Findings indicate that while examples of applications involving traditional geospatial technologies especially geographic information systems are abound, the use of more advanced SDS elements is limited and fragmented. Additionally, various studies leveraged SDS to address one or more complex questions against the backdrop of challenges largely influenced by the digital divide within Africa and across the globe. The article identifies and discusses these challenges as well as opportunities for increased use of SDS in Africa to understand and respond to disasters like Covid-19 and other complex problems. The argument is made for a more complete use of multiple elements of SDS.

Indexed as

AfricaCOVID-19GISHealthSpatial data scienceUrban

Identifiers

PMID38625363
PMCPMC9994398

What OpenQuestion holds

Textmetadata
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.