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Preparedness and vulnerability of African countries against introductions of 2019-nCoV
Marius Gilbert; Giulia Pullano; Francesco Pinotti; Eugenio Valdano; Chiara Poletto; Pierre-Yves Boelle; Eric D'Ortenzio; Yazdan Yazdanpanah; Serge Paul Eholie; Mathias Altmann; Bernardo Gutierrez; Moritz U. G. Kraemer; Vittoria Colizza.
Afiliación
  • Marius Gilbert; Universite Libre de Bruxelles
  • Giulia Pullano; INSERM, Paris, France
  • Francesco Pinotti; INSERM, Paris, France
  • Eugenio Valdano; University of California Los Angeles, Los Angeles, United States
  • Chiara Poletto; INSERM, Paris, France
  • Pierre-Yves Boelle; INSERM, Paris, France
  • Eric D'Ortenzio; INSERM, Paris, France
  • Yazdan Yazdanpanah; INSERM, Paris, France
  • Serge Paul Eholie; Service des Maladies Infectieuses et Tropicales, Centre Hospitalier Universitaire de Treichville, Abidjan, Ivory Coast
  • Mathias Altmann; IDLIC, Bordeaux, France
  • Bernardo Gutierrez; Department of Zoology, University of Oxford
  • Moritz U. G. Kraemer; University of Oxford
  • Vittoria Colizza; INSERM, Paris, France
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20020792
ABSTRACT
BackgroundThe novel coronavirus (2019-nCoV) epidemic has spread to 23 countries from China. Local cycles of transmission already occurred in 7 countries following case importation. No African country has reported cases yet. The management and control of 2019-nCoV introductions heavily relies on countrys health capacity. Here we evaluate the preparedness and vulnerability of African countries against their risk of importation of 2019-nCoV. MethodsWe used data on air travel volumes departing from airports in the infected provinces in China and directed to Africa to estimate the risk of introduction per country. We determined the countrys capacity to detect and respond to cases with two indicators preparedness, using the WHO International Health Regulation Monitoring and Evaluation Framework; and vulnerability, with the Infectious Disease Vulnerability Index. Countries were clustered according to the Chinese regions contributing the most to their risk. FindingsCountries at the highest importation risk (Egypt, Algeria, Republic of South Africa) have moderate to high capacity to respond to outbreaks. Countries at moderate risk (Nigeria, Ethiopia, Sudan, Angola, Tanzania, Ghana, Kenya) have variable capacity and high vulnerability. Three clusters of countries are identified that share the same exposure to the risk originating from the provinces of Guangdong, Fujian, and Beijing, respectively. InterpretationSeveral countries in Africa are stepping up their preparedness to detect and cope with 2019-nCoV importations. Resources and intensified surveillance and capacity capacity should be urgently prioritized towards countries at moderate risk that may be ill-prepared to face the importation and to limit onward transmission. FundingThis study was partially supported by the ANR project DATAREDUX (ANR-19-CE46-0008-03) to VC; the EU grant MOOD (H2020-874850) to MG, CP, MK, PYB, VC.
Licencia
cc_by_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint