Evidence map›Paper›PMID 34379641›Full record

ArticlePLoS neglected tropical diseases2021

Case-area targeted interventions (CATI) for reactive dengue control: Modelling effectiveness of vector control and prophylactic drugs in Singapore.

Oliver J Brady, Adam J Kucharski, Sebastian Funk, Yalda Jafari, Marnix Van Loock, Guillermo Herrera-Taracena, Joris Menten, W John Edmunds, Shuzhen Sim, Lee-Ching Ng and 2 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Oliver J BradyCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-3235-2129
Adam J KucharskiCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8814-9421
Sebastian FunkCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-2842-3406
Yalda JafariCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Marnix Van LoockJanssen Global Public Health, Janssen Pharmaceutica NV, Beerse, Belgium.ORCID 0000-0003-4151-4588
Guillermo Herrera-TaracenaJanssen Global Public Health, Janssen Research & Development, LLC, Horsham, Pennsylvania, United States of America.ORCID 0000-0001-6033-0915
Joris MentenQuantitative Sciences, Janssen Pharmaceutica NV, Beerse, Belgium.ORCID 0000-0002-6925-6683
W John EdmundsCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-9179-2917
Shuzhen SimEnvironmental Health Institute, National Environment Agency, Singapore, Singapore.
Lee-Ching NgEnvironmental Health Institute, National Environment Agency, Singapore, Singapore.
Stéphane HuéCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-8580-6905
Martin L HibberdDepartment of Infection Biology, Faculty of Infectious Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Funding

Medical Research Council MR/V031112/1Wellcome Trust 206250/Z/17/ZWellcome Trust 206471/Z/17/ZWellcome Trust 210758/Z/18/Z
6 · The paper itself

Abstract

backgroundTargeting interventions to areas that have recently experienced cases of disease is one strategy to contain outbreaks of infectious disease. Such case-area targeted interventions (CATI) have become an increasingly popular approach for dengue control but there is little evidence to suggest how precisely targeted or how recent cases need to be, to mount an effective response. The growing interest in the development of prophylactic and therapeutic drugs for dengue has also given new relevance for CATI strategies to interrupt transmission or deliver early treatment. METHODS/PRINCIPAL

findingsHere we develop a patch-based mathematical model of spatial dengue spread and fit it to spatiotemporal datasets from Singapore. Simulations from this model suggest CATI strategies could be effective, particularly if used in lower density areas. To maximise effectiveness, increasing the size of the radius around an index case should be prioritised even if it results in delays in the intervention being applied. This is partially because large intervention radii ensure individuals receive multiple and regular rounds of drug dosing or vector control, and thus boost overall coverage. Given equivalent efficacy, CATIs using prophylactic drugs are predicted to be more effective than adult mosquito-killing vector control methods and may even offer the possibility of interrupting individual chains of transmission if rapidly deployed. CATI strategies quickly lose their effectiveness if baseline transmission increases or case detection rates fall. CONCLUSIONS/SIGNIFICANCE: These results suggest CATI strategies can play an important role in dengue control but are likely to be most relevant for low transmission areas where high coverage of other non-reactive interventions already exists. Controlled field trials are needed to assess the field efficacy and practical constraints of large operational CATI strategies.

Indexed as

Case ManagementModels, TheoreticalAnimalsComputer SimulationDengueDisease OutbreaksHumansMosquito ControlRegression AnalysisSingapore

Identifiers

PMID34379641
PMCPMC8357181

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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.