Key data for outbreak evaluation: building on the Ebola experience

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Title: Key data for outbreak evaluation: building on the Ebola experience
Author(s): Cori, A
Donnelly, CA
Dorigatti
Ferguson, NM
Fraser
Garske
Jombart
Nedjati-Gilani, G
Nouvellet
Riley
Van Kerkhove
Mills
Blake, IM
Item Type: Journal Article
Abstract: Following the detection of a n infectious disease outbreak, rapid epidemiological assessment is critical to guide an effective public h ealth response. To understand the transmission dynamics and potential impact of an outbreak, several types of data are necessary. Here we build on experience gained in the West African Ebola epidemic and prior emerging infectious disease outbreaks to set out a checklist of data needed to : 1 ) quantify severity a nd transmissibility ; 2 ) characterise heterogeneities in trans mission and their determinants ; and 3 ) assess the effectiveness of different interventions. We differentiate data needs into i ndividual - level data (e.g. a detailed list of reported cases), exposu re data (e.g . identifying where / how cases may have been infected ) and population level data ( e.g. size /demographics of the population (s) affected and when/where interventions were implemented). A remarkable amount of individual - level and exposure data was collected during the West African Ebola epidemic , which allowed the assessment of (1) and (2) . However, gaps in population - level data ( particularly around which interventions were applied when and where) posed challenges to the assessment of (3) . Here we highlight recurrent data issues , give practical suggestions for address ing the se issues and discuss priorities for improvements in data collection in future outbreaks.
Publication Date: 10-Apr-2017
Date of Acceptance: 11-Nov-2016
URI: http://hdl.handle.net/10044/1/44133
DOI: https://dx.doi.org/10.1098/rstb.2016.0371
ISSN: 1471-2970
Publisher: Royal Society, The
Journal / Book Title: Philosophical Transactions of the Royal Society B: Biological Sciences
Volume: 372
Copyright Statement: © 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Sponsor/Funder: Medical Research Council (MRC)
National Institute for Health Research
Funder's Grant Number: MR/K010174/1B
HPRU-2012-10080
Keywords: Science & Technology
Life Sciences & Biomedicine
Biology
Life Sciences & Biomedicine - Other Topics
West African Ebola epidemic
epidemic
mathematical modelling
outbreak response
data
public health
INFECTIOUS-DISEASE TRANSMISSION
HEALTH-CARE WORKERS
VIRUS DISEASE
SIERRA-LEONE
WEST-AFRICA
MATHEMATICAL-MODELS
COST-EFFECTIVENESS
INFLUENZA A/H1N1
DATA-COLLECTION
RISK-FACTORS
West African Ebola epidemic
data
epidemic
mathematical modelling
outbreak response
public health
Evolutionary Biology
06 Biological Sciences
11 Medical And Health Sciences
Publication Status: Published
Article Number: 20160371
Appears in Collections:Faculty of Medicine
Epidemiology, Public Health and Primary Care



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