Evidence map›Paper›PMID 36366548›Full record

ArticleViruses2022

Spatial Methods for Inferring Extremes in Dengue Outbreak Risk in Singapore.

Stacy Soh, Soon Hoe Ho, Annabel Seah, Janet Ong, Daniel R Richards, Leon Yan-Feng Gaw, Borame Sue Dickens, Ken Wei Tan, Joel Ruihan Koo, Alex R Cook and 1 more

Abstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Stacy SohEnvironmental Health Institute, National Environment Agency, Singapore 138667, Singapore.ORCID 0000-0002-4503-7419
Soon Hoe HoEnvironmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
Annabel SeahEnvironmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
Janet OngEnvironmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
Daniel R RichardsManaaki Whenua-Landcare Research, Lincoln P.O. Box 69040, New Zealand.
Leon Yan-Feng GawDepartment of Architecture, College of Design and Engineering, National University of Singapore, Singapore 117566, Singapore.ORCID 0000-0002-9344-4385
Borame Sue DickensSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.ORCID 0000-0003-1592-1745
Ken Wei TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Joel Ruihan KooSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Alex R CookSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Jue Tao LimEnvironmental Health Institute, National Environment Agency, Singapore 138667, Singapore.ORCID 0000-0002-2245-0331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is a major vector-borne disease worldwide. Here, we examined the spatial distribution of extreme weekly dengue outbreak risk in Singapore from 2007 to 2020. We divided Singapore into equal-sized hexagons with a circumradius of 165 m and obtained the weekly number of dengue cases and the surface characteristics of each hexagon. We accounted for spatial heterogeneity using max-stable processes. The 5-, 10-, 20-, and 30-year return levels, or the weekly dengue case counts expected to be exceeded once every 5, 10, 20, and 30 years, respectively, were determined for each hexagon conditional on their surface characteristics remaining constant over time. The return levels were higher in the country's east, with the maximum weekly dengue cases per hexagon expected to exceed 51 at least once in 30 years in many areas. The surface characteristics with the largest impact on outbreak risk were the age of public apartments and the percentage of impervious surfaces, where a 3-year and 10% increase in each characteristic resulted in a 3.8% and 3.3% increase in risk, respectively. Vector control efforts should be prioritized in older residential estates and places with large contiguous masses of built-up environments. Our findings indicate the likely scale of outbreaks in the long term.

Indexed as

DengueAgedDisease OutbreaksHumansSingaporedengueextreme value theorymax-stable modeltransmission risk

Identifiers

PMID36366548
PMCPMC9695662

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.