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A Generalizable Data Assembly Algorithm for Infectious Disease Outbreaks [PDF]
JAMIA Open, 2021 Abstract Background & Objective During infectious disease outbreaks, health agencies often share text-based information about cases and deaths. This information is usually text-based and rarely machine-readable, thus creating challenges for outbreak researchers. Here, we introduce a generalizable
Maimuna S Majumder, Sherri Rose
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Epidemiological dynamics of Ebola outbreaks [PDF]
, 2014 Ebola is a deadly virus that causes frequent disease outbreaks in the human population. Here, we analyse its rate of new introductions, case fatality ratio, and potential to spread from person to person.
House, Thomas; id_orcid +2 more
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BMJ Global Health, 2019 Background Having hospitals located in urban areas where people, resources and wealth concentrate is efficient, but leaves long travel times for the rural and often poorer population and goes against the equity objective.
Kerry LM Wong +5 more
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An artificially simulated outbreak of a respiratory infectious disease [PDF]
BMC Public Health, 2019 Abstract Background Outbreaks of respiratory infectious diseases often occur in crowded places. To understand the pattern of spread of an outbreak of a respiratory infectious disease and provide a theoretical basis for targeted implementation of scientific prevention and control, we attempted to establish a stochastic model to simulate an ...
Zuiyuan Guo +5 more
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After-action reviews for emergency preparedness and response to infectious disease outbreaks
Western Pacific Surveillance and Response, 2023 After-action reviews (AARs) are a qualitative evaluation methodology conducted after a public health event recommended by the World Health Organization.
Ha-Linh Quach +2 more
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Factors that make an infectious disease outbreak controllable [PDF]
Proceedings of the National Academy of Sciences, 2004 The aim of this study is to identify general properties of emerging infectious agents that determine the likely success of two simple public health measures in controlling outbreaks, namely ( i ) isolating symptomatic individuals and ( ii ) tracing and ...
Ferguson, NM +3 more
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Point source outbreaks of Campylobacter jejuni infection--are they more common than we think and what might cause them? [PDF]
, 2003 Despite being the commonest bacterial cause of infectious intestinal disease (IID) in England and Wales, outbreaks of campylobacter infection are rarely reported.
Tam, CC +7 more
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The roles of machine learning methods in limiting the spread of deadly diseases: A systematic review
Heliyon, 2021 Machine learning (ML) methods can be leveraged to prevent the spread of deadly infectious disease outbreak (e.g., COVID-19). This can be done by applying machine learning methods in predicting and detecting the deadly infectious disease. Most reviews did
Rayner Alfred, Joe Henry Obit
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Online Resources for Understanding Outbreaks and Infectious Diseases [PDF]
CBE—Life Sciences Education, 2015 Disease outbreaks can be a powerful topic for teaching about science and health. This Feature reviews resources for bringing up up-to to-date information on this hot topic into the classroom.
Barber, Nicola C., Stark, Louisa A.
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A two-component model for counts of infectious diseases [PDF]
, 2005 We propose a stochastic model for the analysis of time series of disease counts as collected in typical surveillance systems on notifiable infectious diseases.
Schmid, V +9 more
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