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Local, national, and regional viral haemorrhagic fever pandemic potential in Africa: a multistage analysis.
Pigott, David M; Deshpande, Aniruddha; Letourneau, Ian; Morozoff, Chloe; Reiner, Robert C; Kraemer, Moritz U G; Brent, Shannon E; Bogoch, Isaac I; Khan, Kamran; Biehl, Molly H; Burstein, Roy; Earl, Lucas; Fullman, Nancy; Messina, Jane P; Mylne, Adrian Q N; Moyes, Catherine L; Shearer, Freya M; Bhatt, Samir; Brady, Oliver J; Gething, Peter W; Weiss, Daniel J; Tatem, Andrew J; Caley, Luke; De Groeve, Tom; Vernaccini, Luca; Golding, Nick; Horby, Peter; Kuhn, Jens H; Laney, Sandra J; Ng, Edmond; Piot, Peter; Sankoh, Osman; Murray, Christopher J L; Hay, Simon I.
Afiliación
  • Pigott DM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Deshpande A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Letourneau I; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Morozoff C; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Reiner RC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Kraemer MUG; Department of Zoology, University of Oxford, Oxford, UK; Harvard Medical School, Harvard University, Boston, MA, USA; Boston Children's Hospital, Boston, MA, USA.
  • Brent SE; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.
  • Bogoch II; Divisions of General Internal Medicine and Infectious Diseases, Toronto General Hospital, Toronto, ON, Canada; Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Khan K; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.
  • Biehl MH; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Burstein R; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Earl L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Fullman N; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Messina JP; School of Geography and the Environment, University of Oxford, Oxford, UK; School of Interdisciplinary Area Studies, University of Oxford, Oxford, UK.
  • Mylne AQN; Warwick Medical School, University of Warwick, Coventry, UK.
  • Moyes CL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Shearer FM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Bhatt S; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Brady OJ; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Gething PW; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Weiss DJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Tatem AJ; WorldPop, Department of Geography and Environment, University of Southampton, Southampton, UK; Flowminder Foundation, Stockholm Sweden.
  • Caley L; The Start Network, London, UK.
  • De Groeve T; European Commission, Joint Research Centre, Ispra, Italy.
  • Vernaccini L; European Commission, Joint Research Centre, Ispra, Italy.
  • Golding N; Quantitative and Applied Ecology Group, School of BioSciences, University of Melbourne, Parkville, VIC, Australia.
  • Horby P; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Kuhn JH; Integrated Research Facility at Fort Detrick, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, USA.
  • Laney SJ; SJL Global Consulting, Seattle, WA, USA.
  • Ng E; Director's Office, London School of Hygiene & Tropical Medicine, London, UK.
  • Piot P; Director's Office, London School of Hygiene & Tropical Medicine, London, UK.
  • Sankoh O; INDEPTH Network, Accra, Ghana.
  • Murray CJL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Hay SI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. Electronic address: sihay@uw.edu.
Lancet ; 390(10113): 2662-2672, 2017 Dec 16.
Article en En | MEDLINE | ID: mdl-29031848
ABSTRACT

BACKGROUND:

Predicting when and where pathogens will emerge is difficult, yet, as shown by the recent Ebola and Zika epidemics, effective and timely responses are key. It is therefore crucial to transition from reactive to proactive responses for these pathogens. To better identify priorities for outbreak mitigation and prevention, we developed a cohesive framework combining disparate methods and data sources, and assessed subnational pandemic potential for four viral haemorrhagic fevers in Africa, Crimean-Congo haemorrhagic fever, Ebola virus disease, Lassa fever, and Marburg virus disease.

METHODS:

In this multistage analysis, we quantified three stages underlying the potential of widespread viral haemorrhagic fever epidemics. Environmental suitability maps were used to define stage 1, index-case potential, which assesses populations at risk of infection due to spillover from zoonotic hosts or vectors, identifying where index cases could present. Stage 2, outbreak potential, iterates upon an existing framework, the Index for Risk Management, to measure potential for secondary spread in people within specific communities. For stage 3, epidemic potential, we combined local and international scale connectivity assessments with stage 2 to evaluate possible spread of local outbreaks nationally, regionally, and internationally.

FINDINGS:

We found epidemic potential to vary within Africa, with regions where viral haemorrhagic fever outbreaks have previously occurred (eg, western Africa) and areas currently considered non-endemic (eg, Cameroon and Ethiopia) both ranking highly. Tracking transitions between stages showed how an index case can escalate into a widespread epidemic in the absence of intervention (eg, Nigeria and Guinea). Our analysis showed Chad, Somalia, and South Sudan to be highly susceptible to any outbreak at subnational levels.

INTERPRETATION:

Our analysis provides a unified assessment of potential epidemic trajectories, with the aim of allowing national and international agencies to pre-emptively evaluate needs and target resources. Within each country, our framework identifies at-risk subnational locations in which to improve surveillance, diagnostic capabilities, and health systems in parallel with the design of policies for optimal responses at each stage. In conjunction with pandemic preparedness activities, assessments such as ours can identify regions where needs and provisions do not align, and thus should be targeted for future strengthening and support.

FUNDING:

Paul G Allen Family Foundation, Bill & Melinda Gates Foundation, Wellcome Trust, UK Department for International Development.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pandemias / Fiebres Hemorrágicas Virales Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Lancet Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pandemias / Fiebres Hemorrágicas Virales Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Lancet Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
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