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Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis.
O'Reilly, Kathleen M; Lowe, Rachel; Edmunds, W John; Mayaud, Philippe; Kucharski, Adam; Eggo, Rosalind M; Funk, Sebastian; Bhatia, Deepit; Khan, Kamran; Kraemer, Moritz U G; Wilder-Smith, Annelies; Rodrigues, Laura C; Brasil, Patricia; Massad, Eduardo; Jaenisch, Thomas; Cauchemez, Simon; Brady, Oliver J; Yakob, Laith.
Afiliação
  • O'Reilly KM; Department of Disease Control, London School of Hygiene & Tropical Medicine, London, UK. kathleen.oreilly@lshtm.ac.uk.
  • Lowe R; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK. kathleen.oreilly@lshtm.ac.uk.
  • Edmunds WJ; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Mayaud P; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Kucharski A; Barcelona Institute for Global Health (ISGLOBAL), Barcelona, Spain.
  • Eggo RM; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Funk S; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Bhatia D; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK.
  • Khan K; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Kraemer MUG; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Wilder-Smith A; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Rodrigues LC; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Brasil P; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Massad E; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Jaenisch T; Division of Infectious Diseases, University of Toronto, Toronto, ON, Canada.
  • Cauchemez S; Centre for Research on Inner City Health, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Toronto, ON, Canada.
  • Brady OJ; Division of Infectious Diseases, University of Toronto, Toronto, ON, Canada.
  • Yakob L; Centre for Research on Inner City Health, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Toronto, ON, Canada.
BMC Med ; 16(1): 180, 2018 10 03.
Article em En | MEDLINE | ID: mdl-30285863
ABSTRACT

BACKGROUND:

Zika virus (ZIKV) emerged in Latin America and the Caribbean (LAC) region in 2013, with serious implications for population health in the region. In 2016, the World Health Organization declared the ZIKV outbreak a Public Health Emergency of International Concern following a cluster of associated neurological disorders and neonatal malformations. In 2017, Zika cases declined, but future incidence in LAC remains uncertain due to gaps in our understanding, considerable variation in surveillance and the lack of a comprehensive collation of data from affected countries.

METHODS:

Our analysis combines information on confirmed and suspected Zika cases across LAC countries and a spatio-temporal dynamic transmission model for ZIKV infection to determine key transmission parameters and projected incidence in 90 major cities within 35 countries. Seasonality was determined by spatio-temporal estimates of Aedes aegypti vectorial capacity. We used country and state-level data from 2015 to mid-2017 to infer key model parameters, country-specific disease reporting rates, and the 2018 projected incidence. A 10-fold cross-validation approach was used to validate parameter estimates to out-of-sample epidemic trajectories.

RESULTS:

There was limited transmission in 2015, but in 2016 and 2017 there was sufficient opportunity for wide-spread ZIKV transmission in most cities, resulting in the depletion of susceptible individuals. We predict that the highest number of cases in 2018 would present within some Brazilian States (Sao Paulo and Rio de Janeiro), Colombia and French Guiana, but the estimated number of cases were no more than a few hundred. Model estimates of the timing of the peak in incidence were correlated (p < 0.05) with the reported peak in incidence. The reporting rate varied across countries, with lower reporting rates for those with only confirmed cases compared to those who reported both confirmed and suspected cases.

CONCLUSIONS:

The findings suggest that the ZIKV epidemic is by and large over within LAC, with incidence projected to be low in most cities in 2018. Local low levels of transmission are probable, but the estimated rate of infection suggests that most cities have a population with high levels of herd immunity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epidemias / Infecção por Zika virus / Modelos Teóricos Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epidemias / Infecção por Zika virus / Modelos Teóricos Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article