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Spatiotemporal Analysis of Serogroup C Meningococcal Meningitis Spread in Niger and Nigeria and Implications for Epidemic Response.
Cooper, Laura V; Ronveaux, Olivier; Fernandez, Katya; Lingani, Clement; Goumbi, Kadade; Ihekweazu, Chikwe; Preziosi, Marie-Pierre; Durupt, Antoine; Trotter, Caroline L.
Afiliação
  • Cooper LV; University of Cambridge, Cambridge, United Kingdom, Geneva, Switzerland.
  • Ronveaux O; Department of Pandemic and Epidemic Diseases, World Health Organization, Geneva, Switzerland.
  • Fernandez K; Department of Pandemic and Epidemic Diseases, World Health Organization, Geneva, Switzerland.
  • Lingani C; Inter-country Support Team for West Africa, World Health Organization, Ouagadougou, Burkina Faso.
  • Goumbi K; Ministry of Public Health, Niamey, Niger.
  • Ihekweazu C; Nigeria Center for Disease Control, Abuja, Nigeria.
  • Preziosi MP; Department of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
  • Durupt A; Department of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
  • Trotter CL; University of Cambridge, Cambridge, United Kingdom, Geneva, Switzerland.
J Infect Dis ; 220(220 Suppl 4): S244-S252, 2019 10 31.
Article em En | MEDLINE | ID: mdl-31671446
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neisseria meningitidis Sorogrupo C / Meningite Meningocócica Tipo de estudo: Diagnostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: J Infect Dis Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neisseria meningitidis Sorogrupo C / Meningite Meningocócica Tipo de estudo: Diagnostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: J Infect Dis Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suíça