Outbreak analytics: a developing data science for informing the response to emerging pathogens

JA Polonsky, A Baidjoe, ZN Kamvar… - … of the Royal …, 2019 - royalsocietypublishing.org
Despite continued efforts to improve health systems worldwide, emerging pathogen
epidemics remain a major public health concern. Effective response to such outbreaks relies …

[HTML][HTML] A systematic review of aberration detection algorithms used in public health surveillance

M Yuan, N Boston-Fisher, Y Luo, A Verma… - Journal of Biomedical …, 2019 - Elsevier
The algorithms used for detecting anomalies have evolved substantially over the last
decade to take advantage of advances in informatics and to accommodate changes in …

A modelling approach for correcting reporting delays in disease surveillance data

LS Bastos, T Economou, MFC Gomes… - Statistics in …, 2019 - Wiley Online Library
One difficulty for real‐time tracking of epidemics is related to reporting delay. The reporting
delay may be due to laboratory confirmation, logistical problems, infrastructure difficulties …

[HTML][HTML] Using decision fusion methods to improve outbreak detection in disease surveillance

G Texier, RS Allodji, L Diop, JB Meynard… - BMC medical informatics …, 2019 - Springer
Background When outbreak detection algorithms (ODAs) are considered individually, the
task of outbreak detection can be seen as a classification problem and the ODA as a sensor …

[HTML][HTML] A real-time spatio-temporal syndromic surveillance system with application to small companion animals

AC Hale, F Sánchez-Vizcaíno, B Rowlingson… - Scientific reports, 2019 - nature.com
Lack of disease surveillance in small companion animals worldwide has contributed to a
deficit in our ability to detect and respond to outbreaks. In this paper we describe the first real …

Developing influenza and respiratory syncytial virus activity thresholds for syndromic surveillance in England

SE Harcourt, RA Morbey, GE Smith… - Epidemiology & …, 2019 - cambridge.org
Influenza and respiratory syncytial virus (RSV) are common causes of respiratory tract
infections and place a burden on health services each winter. Systems to describe the timing …

[HTML][HTML] An algorithm applied to national surveillance data for the early detection of major dengue outbreaks in Cambodia

J Ledien, K Souv, R Leang, R Huy, A Cousien, M Peas… - Plos one, 2019 - journals.plos.org
Dengue is a national priority disease in Cambodia. The Cambodian National Dengue
Surveillance System is based on passive surveillance of dengue-like inpatients reported by …

Underreporting and reporting delays

A Noufaily - Handbook of Infectious Disease Data Analysis, 2019 - taylorfrancis.com
This chapter introduces key population concepts that describe qualitatively and
quantitatively the evolution of acute infectious disease outbreaks and the current state of …

[HTML][HTML] EpiExploreR: a shiny web application for the analysis of animal disease data

L Savini, L Candeloro, S Perticara, A Conte - Microorganisms, 2019 - mdpi.com
Emerging and re-emerging infectious diseases are a significant public and animal health
threat. In some zoonosis, the early detection of virus spread in animals is a crucial early …

Supervised learning improves disease outbreak detection

B Zacher, I Czogiel - arXiv preprint arXiv:1902.10061, 2019 - arxiv.org
The early detection of infectious disease outbreaks is a crucial task to protect population
health. To this end, public health surveillance systems have been established to …