Evidence map›Paper›PMID 38728366›Full record

Observational studyPLoS medicine2024

Case-area targeted interventions during a large-scale cholera epidemic: A prospective cohort study in Northeast Nigeria.

Jennifer OKeeffe, Lindsay Salem-Bango, Michael R Desjardins, Daniele Lantagne, Chiara Altare, Gurpreet Kaur, Thomas Heath, Kanaganathan Rangaiya, Patricia Oke-Oghene Obroh, Ahmadu Audu and 9 more

Abstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Observational
  8. Review
  9. Cholera in Nigeria: A review of outbreaks, trends, contributing factors, and public health responses.Nigerian medical journal : journal of the Nigeria Medical Association
    Review
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

19 authors.

Jennifer OKeeffeCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0003-0787-8126
Lindsay Salem-BangoCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-2124-1191
Michael R DesjardinsSpatial Science for Public Health Center, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-2789-5460
Daniele LantagneLancon Environmental, LLC, Somerville, Massachusetts, United States of America.ORCID 0000-0001-6594-0261
Chiara AltareCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-3410-0427
Gurpreet KaurCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0003-3605-4812
Thomas HeathAction contre la Faim, Paris, France.
Kanaganathan RangaiyaAction contre la Faim, Abuja, Nigeria.
Patricia Oke-Oghene ObrohAction contre la Faim, Abuja, Nigeria.ORCID 0009-0009-4952-663X
Ahmadu AuduAction contre la Faim, Abuja, Nigeria.
Baptiste LecuyotSolidarités International, Paris, France.
Timothée ZoungranaSolidarités International, Paris, France.
Emmanuel Emeka IhemezueSolidarités International, Maiduguri, Nigeria.
Solomon AyeSolidarités International, Maiduguri, Nigeria.
Mustafa SikderCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-6977-7913
Shannon DoocyCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0003-2363-7998
Qiulin WangCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Melody XiaoCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Paul B SpiegelCenter for Humanitarian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-6158-6661

Funding

USAID 720FDA19GR00205
6 · The paper itself

Abstract

backgroundCholera outbreaks are on the rise globally, with conflict-affected settings particularly at risk. Case-area targeted interventions (CATIs), a strategy whereby teams provide a package of interventions to case and neighboring households within a predefined "ring," are increasingly employed in cholera responses. However, evidence on their ability to attenuate incidence is limited. METHODS AND

findingsWe conducted a prospective observational cohort study in 3 conflict-affected states in Nigeria in 2021. Enumerators within rapid response teams observed CATI implementation during a cholera outbreak and collected data on household demographics; existing water, sanitation, and hygiene (WASH) infrastructure; and CATI interventions. Descriptive statistics showed that CATIs were delivered to 46,864 case and neighbor households, with 80.0% of cases and 33.5% of neighbors receiving all intended supplies and activities, in a context with operational challenges of population density, supply stock outs, and security constraints. We then applied prospective Poisson space-time scan statistics (STSS) across 3 models for each state: (1) an unadjusted model with case and population data; (2) an environmentally adjusted model adjusting for distance to cholera treatment centers and existing WASH infrastructure (improved water source, improved latrine, and handwashing station); and (3) a fully adjusted model adjusting for environmental and CATI variables (supply of Aquatabs and soap, hygiene promotion, bedding and latrine disinfection activities, ring coverage, and response timeliness). We ran the STSS each day of our study period to evaluate the space-time dynamics of the cholera outbreaks. Compared to the unadjusted model, significant cholera clustering was attenuated in the environmentally adjusted model (from 572 to 18 clusters) but there was still risk of cholera transmission. Two states still yielded significant clusters (range 8-10 total clusters, relative risk of 2.2-5.5, 16.6-19.9 day duration, including 11.1-56.8 cholera cases). Cholera clustering was completely attenuated in the fully adjusted model, with no significant anomalous clusters across time and space. Associated measures including quantity, relative risk, significance, likelihood of recurrence, size, and duration of clusters reinforced the results. Key limitations include selection bias, remote data monitoring, and the lack of a control group.

conclusionsCATIs were associated with significant reductions in cholera clustering in Northeast Nigeria despite operational challenges. Our results provide a strong justification for rapid implementation and scale-up CATIs in cholera-response, particularly in conflict settings where WASH access is often limited.

Indexed as

CholeraSanitationAdolescentAdultChildDisease OutbreaksEpidemicsFemaleHumansHygieneIncidenceMaleMiddle AgedNigeriaProspective StudiesYoung Adult

Identifiers

PMID38728366
PMCPMC11149837

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.