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

Author:

Cooper Laura V1ORCID,Ronveaux Olivier2,Fernandez Katya2,Lingani Clement3,Goumbi Kadade4,Ihekweazu Chikwe5,Preziosi Marie-Pierre6,Durupt Antoine6,Trotter Caroline L1

Affiliation:

1. University of Cambridge, Cambridge, United Kingdom, Geneva, Switzerland

2. Department of Pandemic and Epidemic Diseases, World Health Organization, Geneva, Switzerland

3. Inter-country Support Team for West Africa, World Health Organization, Ouagadougou, Burkina Faso

4. Ministry of Public Health, Niamey, Niger

5. Nigeria Center for Disease Control, Abuja, Nigeria

6. Department of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland

Abstract

Abstract Background After 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. Methods We 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. Results We 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. Conclusions Although 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.

Funder

MenAfriNet consortium

Bill and Melinda Gates Foundation

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

Reference34 articles.

1. World Health Organization. Detecting meningococcal meningitis epidemics in highly endemic African countries. Wkly Epidemiol Rec2000 [cited 2016 Jan 23]; 75:305. Available from: http://tf5lu9ym5n.scholar.serialssolutions.com/?sid=google&aulast=World+Health+Organization&atitle=Detecting+meningococcal+meningitis+epidemics+in+highly-endemic+African+countries&title=Weekly+epidemiological+record&volume=75&issue=38&date=2000&spage=305&.

2. Response thresholds for epidemic meningitis in sub-Saharan Africa following the introduction of MenAfriVac®;Trotter;Vaccine,2015

3. Analysing spatiotemporal clustering of meningococcal meningitis outbreaks in niger reveals opportunities for improved disease control;Paireau;PLoS,2012

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