Evidence map›Paper›PMID 31671446›Full record

ArticleThe Journal of infectious diseases2019

Spatiotemporal Analysis of Serogroup C Meningococcal Meningitis Spread in Niger and Nigeria and Implications for Epidemic Response.

Laura V Cooper, Olivier Ronveaux, Katya Fernandez, Clement Lingani, Kadade Goumbi, Chikwe Ihekweazu, Marie-Pierre Preziosi, Antoine Durupt, Caroline L Trotter

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Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Laura V CooperUniversity of Cambridge, Cambridge, United Kingdom, Geneva, Switzerland.
Olivier RonveauxDepartment of Pandemic and Epidemic Diseases, World Health Organization, Geneva, Switzerland.
Katya FernandezDepartment of Pandemic and Epidemic Diseases, World Health Organization, Geneva, Switzerland.
Clement LinganiInter-country Support Team for West Africa, World Health Organization, Ouagadougou, Burkina Faso.
Kadade GoumbiMinistry of Public Health, Niamey, Niger.
Chikwe IhekweazuNigeria Center for Disease Control, Abuja, Nigeria.
Marie-Pierre PreziosiDepartment of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
Antoine DuruptDepartment of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
Caroline L TrotterUniversity of Cambridge, Cambridge, United Kingdom, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundAfter the re-emergence of serogroup C meningococcal meningitis (MM) in Nigeria and Niger, we aimed to re-evaluate the vaccination policy used to respond to outbreaks of MM in the African meningitis belt by investigating alternative strategies using a lower incidence threshold and information about neighboring districts.

methodsWe used data on suspected and laboratory-confirmed cases in Niger and Nigeria from 2013 to 2017. We calculated global and local Moran's I-statistics to identify spatial clustering of districts with high MM incidence. We used a Pinner model to estimate the impact of vaccination campaigns occurring between 2015 and 2017 and to evaluate the impact of 3 alternative district-level vaccination strategies, compared with that currently used.

resultsWe found significant clustering of high incidence districts in every year, with local clusters around Tambuwal, Nigeria in 2013 and 2014, Niamey, Niger in 2016, and in Sokoto and Zamfara States in Nigeria in 2017.We estimate that the vaccination campaigns implemented in 2015, 2016, and 2017 prevented 6% of MM cases. Using the current strategy but with high coverage (85%) and timely distribution (4 weeks), these campaigns could have prevented 10% of cases. This strategy required the fewest doses of vaccine to prevent a case. None of the alternative strategies we evaluated were more efficient, but they would have prevented the occurrence of more cases overall.

conclusionsAlthough we observed significant spatial clustering in MM in Nigeria and Niger between 2013 and 2017, there is no strong evidence to support a change in methods for epidemic response in terms of lowering the intervention threshold or targeting neighboring districts for reactive vaccination.

Indexed as

Neisseria meningitidis, Serogroup CCluster AnalysisDisease OutbreaksHumansMeningitis, MeningococcalMeningococcal VaccinesModels, TheoreticalNigerNigeriaSensitivity and SpecificitySpatio-Temporal AnalysisVaccinationMeningococcal Vaccinesepidemic responsemeningitisNigerNigeriavaccine

Identifiers

PMID31671446
PMCPMC6822969

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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.