Evidence map›Paper›PMID 32387823›Full record

ArticleThe Science of the total environment2020

COVID-19 challenges to Pakistan: Is GIS analysis useful to draw solutions?

Suleman Sarwar, Rida Waheed, Sahar Sarwar, Aisha Khan

Open access · bronzeAbstract read
In one paragraph

Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln.International journal of environmental research and public health · 2023
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  15. Spatial Analysis of COVID-19 Vaccine Centers Distribution: A Case Study of the City of Jeddah, Saudi Arabia.International journal of environmental research and public health · 2022
    Article
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  17. Review
  18. 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

4 authors at 3 institutions in 2 countries.

Suleman SarwarSchool of Economics, Shandong University, Jinan, China; Finance and Economics Department, College of Business, University of Jeddah, Saudi Arabia.
Rida WaheedSchool of Economics, Shandong University, Jinan, China; Finance and Economics Department, College of Business, University of Jeddah, Saudi Arabia. Electronic address: Ridawaheed.sdu@gmail.com.
Sahar SarwarDepartment of Economics, Government College University, Faisalabad, Pakistan.
Aisha KhanDepartments of City and Regional Planning, University of Engineering and Technology, Lahore, Pakistan.
Shandong University · CNGovernment College University, Faisalabad · PKUniversity of Engineering and Technology Lahore · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of novel coronavirus (COVID-19) is a public health emergency that had caused disastrous results in more than 100 countries. The ability to detect disease outbreaks in the early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatial analysis techniques, there is great potential to develop algorithms to enable more effective disease surveillance. The research focuses to develop a transparent user-friendly method to simulate the outbreak data. The paper describes the GIS tools to identify and define the field of investigation which requires consideration of the strengths and limitations of data collection instruments, facility of locational data collection, accuracy of locational data, and pertinent attributes for understanding disease risk. Using such information, it is quite easy for authorities to locate the highly effected area and take appropriate actions in that particular areas. However, GIS techniques, resources, and methods can be used in Pakistan for more effective investigation of vulnerable geographical locations.

Indexed as

BetacoronavirusCoronavirus InfectionsGeographic Information SystemsPandemicsPneumonia, ViralCOVID-19Disease OutbreaksHumansPakistanSARS-CoV-2COVID-19GISHealthPakistan

Identifiers

PMID32387823
PMCPMC7194069
OpenAlexW3023175268

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.