Evidence map›Paper›PMID 30089479›Full record

ArticleBMC infectious diseases2018

Construction sites as an important driver of dengue transmission: implications for disease control.

Shaohong Liang, Hapuarachchige Chanditha Hapuarachchi, Jayanthi Rajarethinam, Carmen Koo, Choon-Siang Tang, Chee-Seng Chong, Lee-Ching Ng, Grace Yap

Abstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Highway paving increased dengue transmission in the Peruvian Amazon.medRxiv : the preprint server for health sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Assessment of an enhanced COVID-19 case and contact management protocol in controlling a SARS-CoV-2 Alpha (B.1.1.7) variant outbreak on a construction site.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Preventing Dengue Epidemics during the COVID-19 Pandemic.The American journal of tropical medicine and hygiene · 2020
    Article
  15. 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

8 authors.

Shaohong LiangEnvironmental Health Institute, 11, Biopolis Way, #06-05-08, Singapore, 138667, Singapore.
Hapuarachchige Chanditha HapuarachchiEnvironmental Health Institute, 11, Biopolis Way, #06-05-08, Singapore, 138667, Singapore.ORCID 0000-0001-7079-8538
Jayanthi RajarethinamEnvironmental Health Institute, 11, Biopolis Way, #06-05-08, Singapore, 138667, Singapore.
Carmen KooEnvironmental Health Institute, 11, Biopolis Way, #06-05-08, Singapore, 138667, Singapore.
Choon-Siang TangEnvironmental Public Health Operations Department, National Environment Agency, 40, Scotts Road, #13-00, Singapore, 228231, Singapore.
Chee-Seng ChongEnvironmental Health Institute, 11, Biopolis Way, #06-05-08, Singapore, 138667, Singapore.
Lee-Ching NgEnvironmental Health Institute, 11, Biopolis Way, #06-05-08, Singapore, 138667, Singapore. ng_lee_ching@nea.gov.sg.
Grace YapEnvironmental Health Institute, 11, Biopolis Way, #06-05-08, Singapore, 138667, Singapore.

Funding

National Environment Agency - Singapore None
6 · The paper itself

Abstract

backgroundIn 2013 and 2014, Singapore experienced its worst dengue outbreak known-to-date. Mosquito breeding in construction sites stood out as a probable risk factor due to its association with major dengue clusters in both years. We, therefore, investigated the contribution of construction sites to dengue transmission in Singapore, highlighting three case studies of large construction site-associated dengue clusters recorded during 2013-16.

methodsThe study included two components; a statistical analysis of cluster records from 2013 to 2016, and case studies of three biggest construction site-associated clusters. We explored the odds of construction site-associated clusters growing into major clusters and determined whether clusters seeded in construction sites demonstrated a higher tendency to expand into major clusters. DENV strains obtained from dengue patients residing in three major clusters were genotyped to determine whether the same strains expanded into the surroundings of construction sites.

resultsDespite less than 5% of total recorded clusters being construction site-associated, the odds of such clusters expanding into major clusters were 17.4 (2013), 9.2 (2014), 3.3 (2015) and 4.3 (2016) times higher than non-construction site clusters. Aedes premise index and average larvae count per habitat were also higher in construction sites than residential premises during the study period. The majority of cases in clusters associated with construction sites were residents living in the surroundings. Virus genotype data from three case study sites revealed a transmission link between the construction sites and the surrounding residential areas.

conclusionsSignificantly high case burden and the probability of cluster expansion due to virus spill-over into surrounding areas suggested that construction sites play an important role as a driver of sustained dengue transmission. Our results emphasise that the management of construction-site associated dengue clusters should not be limited to the implicated construction sites, but be extended to the surrounding premises to prevent further transmission.

Indexed as

Construction IndustryDengue VirusAedesAnimalsConstruction MaterialsDengueHumansSingaporeConstruction sitesControlDengueEnvironmental driverGenotypingSurveillance

Identifiers

PMID30089479
PMCPMC6083507

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.