Evidence map›Paper›PMID 32160889›Full record

ArticleInternational journal of health geographics2020

Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics.

Maged N Kamel Boulos, Estella M Geraghty

Abstract readEditorial
In one paragraph

Article in International journal of health geographics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 241 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
241citing papers in PubMed, 2 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

241 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Visualizing multilayer spatiotemporal epidemiological data with animated geocircles.Journal of the American Medical Informatics Association : JAMIA · 2024
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  14. Speed as an expression and texture of space: theory at play in a movement activity.Environment and planning. F, Philosophy, theory, models, methods and practice · 2024
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181 more citing papers are in PubMed but not listed here.

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

2 authors.

Maged N Kamel BoulosSchool of Information Management, Sun Yat-sen University, East Campus, Guangzhou, 510006, Guangdong, China. mnkboulos@mail.sysu.edu.cn.
Estella M GeraghtyEsri (Environmental Systems Research Institute), 380 New York St, Redlands, CA, 92373, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In December 2019, a new virus (initially called 'Novel Coronavirus 2019-nCoV' and later renamed to SARS-CoV-2) causing severe acute respiratory syndrome (coronavirus disease COVID-19) emerged in Wuhan, Hubei Province, China, and rapidly spread to other parts of China and other countries around the world, despite China's massive efforts to contain the disease within Hubei. As with the original SARS-CoV epidemic of 2002/2003 and with seasonal influenza, geographic information systems and methods, including, among other application possibilities, online real-or near-real-time mapping of disease cases and of social media reactions to disease spread, predictive risk mapping using population travel data, and tracing and mapping super-spreader trajectories and contacts across space and time, are proving indispensable for timely and effective epidemic monitoring and response. This paper offers pointers to, and describes, a range of practical online/mobile GIS and mapping dashboards and applications for tracking the 2019/2020 coronavirus epidemic and associated events as they unfold around the world. Some of these dashboards and applications are receiving data updates in near-real-time (at the time of writing), and one of them is meant for individual users (in China) to check if the app user has had any close contact with a person confirmed or suspected to have been infected with SARS-CoV-2 in the recent past. We also discuss additional ways GIS can support the fight against infectious disease outbreaks and epidemics.

Indexed as

BetacoronavirusGeographic Information SystemsCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralPublic HealthSARS-CoV-2COVID-19GISSARS-CoV-2

Identifiers

PMID32160889
PMCPMC7065369

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.