Evidence map›Paper›PMID 33465091›Full record

ArticlePLoS neglected tropical diseases2021

The cholera risk assessment in Kano State, Nigeria: A historical review, mapping of hotspots and evaluation of contextual factors.

Moise Chi Ngwa, Chikwe Ihekweazu, Tochi Okwor, Sebastian Yennan, Nanpring Williams, Kelly Elimian, Nura Yahaya Karaye, Imam Wada Bello, David A Sack

Open access · goldAbstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.2field-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.

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

18 citing papers in PubMed, 48 citations in OpenAlex.

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  18. 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

9 authors at 4 institutions in 2 countries.

Moise Chi NgwaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-1359-6267
Chikwe IhekweazuNigeria Centre for Disease Control, Abuja, Nigeria.
Tochi OkworNigeria Centre for Disease Control, Abuja, Nigeria.ORCID 0000-0003-2391-7770
Sebastian YennanNigeria Centre for Disease Control, Abuja, Nigeria.
Nanpring WilliamsNigeria Centre for Disease Control, Abuja, Nigeria.
Kelly ElimianDepartment of Microbiology, University of Benin, Nigeria.ORCID 0000-0003-2729-1613
Nura Yahaya KarayeDepartment of Public Health and Disease Control, Kano State Ministry of Health, Kano, Nigeria.
Imam Wada BelloDepartment of Public Health and Disease Control, Ministry of Health Kano, Kano, Nigeria.ORCID 0000-0003-0792-2748
David A SackDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Nigeria Centre for Disease Control · NGFederal Ministry of Health · NGJohns Hopkins University · USUniversity of Benin · NG

Funding

Epidemiology and Ecology of Cholera in AfricaR01AI123422 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Amanda Kay Debes, DAVID A SACK · 2017 to 2026
$6.6M
NIAID NIH HHS R01 AI123422
6 · The paper itself

Abstract

Nigeria is endemic for cholera since 1970, and Kano State report outbreaks annually with high case fatality ratios ranging from 4.98%/2010 to 5.10%/2018 over the last decade. However, interventions focused on cholera prevention and control have been hampered by a lack of understanding of hotspot Local Government Areas (LGAs) that trigger and sustain yearly outbreaks. The goal of this study was to identify and categorize cholera hotspots in Kano State to inform a national plan for disease control and elimination in the State. We obtained LGA level confirmed and suspected cholera data from 2010 to 2019 from the Nigeria Centre for Disease Control (NCDC) and Kano State Ministry of Health. Data on inland waterbodies and population numbers were obtained from online sources and NCDC, respectively. Clusters (hotspots) were identified using SaTScan through a retrospective analysis of the data for the ten-year period using a Poisson discrete space-time scan statistic. We also used a method newly proposed by the Global Task Force on Cholera Control (GTFCC) to identify and rank hotspots based on two epidemiological indicators including mean annual incidence per 100 000 population of reported cases and the persistence of cholera for the study period. In the ten-year period, 16,461 cholera cases were reported with a case fatality ratio of 3.32% and a mean annual incidence rate of 13.4 cases per 100 000 population. Between 2010 and 2019, the most severe cholera exacerbations occurred in 2014 and 2018 with annual incidence rates of 58.01 and 21.52 cases per 100 000 inhabitants, respectively. Compared to 2017, reported cases and deaths increased by 214.56% and 406.67% in 2018. The geographic distribution of outbreaks revealed considerable spatial heterogeneity with the widest in 2014. Space-time clustering analysis identified 18 out of 44 LGAs as high risk for cholera (hotspots) involving both urban and rural LGAs. Cholera clustered around water bodies, and the relative risk of having cholera inside the hotspot LGA were 1.02 to 3.30 times higher than elsewhere in the State. A total of 4,894,144 inhabitants were in these hotspots LGAs. Of these, six LGAs with a total population of 1.665 million had a relative risk greater than 2 compared to the state as a whole. The SaTScan (statistical) and GTFCC methods were in agreement in hotspots identification. This study identified cholera hotspots LGAs in Kano State from 2010-2019. Hotspots appeared in both urban and rural settings. Focusing control strategies on these hotspots will facilitate control and eliminate cholera from the State.

Indexed as

Spatio-Temporal AnalysisCholeraDisease OutbreaksHumansLakesNigeriaRetrospective StudiesRisk AssessmentRivers

Identifiers

PMID33465091
PMCPMC7846125
OpenAlexW3121205073

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.