Evidence map›Paper›PMID 29485987›Full record

ArticlePLoS medicine2018

The potential impact of case-area targeted interventions in response to cholera outbreaks: A modeling study.

Flavio Finger, Enrico Bertuzzo, Francisco J Luquero, Nathan Naibei, Brahima Touré, Maya Allan, Klaudia Porten, Justin Lessler, Andrea Rinaldo, Andrew S Azman

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07685574 (Case-area Targeted Interventions), which is not on this map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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.

NCT07685574 narecruitingnot on this mapstarted 2024, after this paper: background citation

Case-area Targeted Interventions (CATIs) Among Household Contacts and Neighbouring Households After Defining Cholera Hotspot Areas in Bangladesh: The Effectiveness of OCV and Potential Impact on Cholera Control

TypeinterventionalSponsorInternational Centre for Diarrhoeal Disease Research, BangladeshRan2024 to 2029Enrolled68,400ConditionsCholera, Methodology StudyArmsCholvax
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Epidemicity conditions in spatial models of infectious diseases.Bollettino della Unione matematica italiana (2008) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Impact of a multi-pronged cholera intervention in an endemic setting.medRxiv : the preprint server for health sciences · 2024
    Article
  10. Cost of Cholera for Households and Health Facilities, Somalia.Journal of epidemiology and global health · 2024
    Article
  11. Observational
  12. Article
  13. Article
  14. Implementation of targeted cholera response activities, Cameroon.Bulletin of the World Health Organization · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 5 institutions in 4 countries.

Flavio FingerLaboratory of Ecohydrology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-8613-5170
Enrico BertuzzoLaboratory of Ecohydrology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0001-5872-0666
Francisco J LuqueroDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0003-0885-8418
Nathan NaibeiCommunauté des Amis de l'Informatique pour le Développement-Tchad, N'Djamena, Chad.
Brahima TouréEpicentre, Paris, France.
Maya AllanEpicentre, Paris, France.
Klaudia PortenEpicentre, Paris, France.
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-9741-8109
Andrea RinaldoLaboratory of Ecohydrology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Andrew S AzmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0001-8662-9077
Johns Hopkins University · USCa' Foscari University of Venice · ITÉcole Polytechnique Fédérale de Lausanne · CHUniversity of N'Djamena · TDUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholera prevention and control interventions targeted to neighbors of cholera cases (case-area targeted interventions [CATIs]), including improved water, sanitation, and hygiene, oral cholera vaccine (OCV), and prophylactic antibiotics, may be able to efficiently avert cholera cases and deaths while saving scarce resources during epidemics. Efforts to quickly target interventions to neighbors of cases have been made in recent outbreaks, but little empirical evidence related to the effectiveness, efficiency, or ideal design of this approach exists. Here, we aim to provide practical guidance on how CATIs might be used by exploring key determinants of intervention impact, including the mix of interventions, "ring" size, and timing, in simulated cholera epidemics fit to data from an urban cholera epidemic in Africa. METHODS AND

findingsWe developed a micro-simulation model and calibrated it to both the epidemic curve and the small-scale spatiotemporal clustering pattern of case households from a large 2011 cholera outbreak in N'Djamena, Chad (4,352 reported cases over 232 days), and explored the potential impact of CATIs in simulated epidemics. CATIs were implemented with realistic logistical delays after cases presented for care using different combinations of prophylactic antibiotics, OCV, and/or point-of-use water treatment (POUWT) starting at different points during the epidemics and targeting rings of various radii around incident case households. Our findings suggest that CATIs shorten the duration of epidemics and are more resource-efficient than mass campaigns. OCV was predicted to be the most effective single intervention, followed by POUWT and antibiotics. CATIs with OCV started early in an epidemic focusing on a 100-m radius around case households were estimated to shorten epidemics by 68% (IQR 62% to 72%), with an 81% (IQR 69% to 87%) reduction in cases compared to uncontrolled epidemics. These same targeted interventions with OCV led to a 44-fold (IQR 27 to 78) reduction in the number of people needed to target to avert a single case of cholera, compared to mass campaigns in high-cholera-risk neighborhoods. The optimal radius to target around incident case households differed by intervention type, with antibiotics having an optimal radius of 30 m to 45 m compared to 70 m to 100 m for OCV and POUWT. Adding POUWT or antibiotics to OCV provided only marginal impact and efficiency improvements. Starting CATIs early in an epidemic with OCV and POUWT targeting those within 100 m of an incident case household reduced epidemic durations by 70% (IQR 65% to 75%) and the number of cases by 82% (IQR 71% to 88%) compared to uncontrolled epidemics. CATIs used late in epidemics, even after the peak, were estimated to avert relatively few cases but substantially reduced the number of epidemic days (e.g., by 28% [IQR 15% to 45%] for OCV in a 100-m radius). While this study is based on a rigorous, data-driven approach, the relatively high uncertainty about the ways in which POUWT and antibiotic interventions reduce cholera risk, as well as the heterogeneity in outbreak dynamics from place to place, limits the precision and generalizability of our quantitative estimates.

conclusionsIn this study, we found that CATIs using OCV, antibiotics, and water treatment interventions at an appropriate radius around cases could be an effective and efficient way to fight cholera epidemics. They can provide a complementary and efficient approach to mass intervention campaigns and may prove particularly useful during the initial phase of an outbreak, when there are few cases and few available resources, or in order to shorten the often protracted tails of cholera epidemics.

Indexed as

Disease OutbreaksHealth Services Needs and DemandModels, TheoreticalCase ManagementCholeraCholera VaccinesComputer SimulationGeographyHealth Plan ImplementationHumansWater PurificationCholera Vaccines

Identifiers

PMID29485987
PMCPMC5828347
OpenAlexW2789706281

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LicenceCC BY
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Registered trials

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.