Evidence map›Paper›PMID 30877759›Full record

ArticleAmerican journal of epidemiology2019

Utility of Spatial Point-Pattern Analysis Using Residential and Workplace Geospatial Information to Localize Potential Outbreak Sources.

Jonathan L Chua, Lee Ching Ng, Vernon J Lee, Marcus E H Ong, Er Luen Lim, Hoon Chin Steven Lim, Chee Kheong Ooi, Arif Tyebally, Eillyne Seow, Mark I-Cheng Chen

Abstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Jonathan L ChuaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore.
Lee Ching NgEnvironmental Health Institute, National Environment Agency, Singapore, Republic of Singapore.
Vernon J LeeSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore.
Marcus E H OngDepartment of Emergency Medicine, Singapore General Hospital, Singapore, Republic of Singapore.
Er Luen LimDepartment of Emergency Medicine, National University Hospital, Singapore, Republic of Singapore.
Hoon Chin Steven LimDepartment of Accident and Emergency, Changi General Hospital, Singapore, Republic of Singapore.
Chee Kheong OoiDepartment of Emergency Medicine, Tan Tock Seng Hospital, Singapore, Republic of Singapore.
Arif TyeballyDepartment of Emergency Medicine, KK Women's and Children's Hospital, Singapore, Republic of Singapore.
Eillyne SeowDepartment of Emergency Medicine, Khoo Teck Puat Hospital, Singapore, Republic of Singapore.
Mark I-Cheng ChenSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the source of an outbreak facilitates its control. Spatial methods are not optimally used in outbreak investigation, due to a mix of the complexities involved (e.g., methods requiring additional parameter selection), imperfect performance, and lack of confidence in existing options. We simulated 30 mock outbreaks and compared 5 simple methods that do not require parameter selection but could select between mock cases' residential and workplace addresses to localize the source. Each category of site had a unique spatial distribution; residential and workplace address were visually and statistically clustered around the residential neighborhood and city center sites respectively, suggesting that the value of workplace addresses is tied to the location where an outbreak might originate. A modification to centrographic statistics that we propose-the center of minimum geometric distance with address selection-was able to localize the mock outbreak source to within a 500 m radius in almost all instances when using workplace in combination with residential addresses. In the sensitivity analysis, when given sufficient workplace data, the method performed well in various scenarios with only 10 cases. It was also successful when applied to past outbreaks, except for a multisite outbreak from a common food supplier.

Indexed as

Sentinel SurveillanceSpatial AnalysisAdolescentAdultAgedAged, 80 and overAlgorithmsDisease OutbreaksEpidemiologic MethodsFemaleHumansMaleMiddle AgedResidence CharacteristicsWorkplaceYoung Adultalgorithmsfood-borne diseasesgeographic information systemsinfectious disease outbreakssource localizationsource of outbreakspatial analysisworkplace

Identifiers

PMID30877759
PMCPMC6494671

What OpenQuestion holds

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LicenceCC BY-NC
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.