TY - JOUR
T1 - Key data for outbreak evaluation
T2 - building on the Ebola experience
AU - Cori, Anne
AU - Donnelly, Christl A
AU - Dorigatti, Ilaria
AU - Ferguson, Neil M
AU - Fraser, Christophe
AU - Garske, Tini
AU - Jombart, Thibaut
AU - Nedjati-Gilani, Gemma
AU - Nouvellet, Pierre
AU - Riley, Steven
AU - Van Kerkhove, Maria D
AU - Mills, Harriet
AU - Blake, Isobel M
PY - 2017/5/26
Y1 - 2017/5/26
N2 - Following the detection of an infectious disease outbreak, rapid epidemiological assessment is critical to guide an effective public health 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 and transmissibility; 2) characterise heterogeneities in transmission and their determinants; and 3) assess the effectiveness of different interventions. We differentiate data needs into individual-level data (e.g. a detailed list of reported cases), exposure 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 addressing these issues and discuss priorities for improvements in data collection in future outbreaks.
AB - Following the detection of an infectious disease outbreak, rapid epidemiological assessment is critical to guide an effective public health 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 and transmissibility; 2) characterise heterogeneities in transmission and their determinants; and 3) assess the effectiveness of different interventions. We differentiate data needs into individual-level data (e.g. a detailed list of reported cases), exposure 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 addressing these issues and discuss priorities for improvements in data collection in future outbreaks.
KW - West African Ebola epidemic
KW - epidemic
KW - mathematical modelling
KW - outbreak response
KW - data
KW - public health
U2 - 10.1098/rstb.2016.0371
DO - 10.1098/rstb.2016.0371
M3 - Article (Academic Journal)
C2 - 28396480
SN - 0962-8436
VL - 372
JO - Philosophical Transactions B: Biological Sciences
JF - Philosophical Transactions B: Biological Sciences
IS - 1721
M1 - 20160371
ER -