Semiparametric Relative-risk Regression for Infectious Disease Data [PDF]
Journal of the American Statistical Association 110(509): 313-325,
March 2015, 2012 This paper introduces semiparametric relative-risk regression models for infectious disease data based on contact intervals, where the contact interval from person i to person j is the time between the onset of infectiousness in i and infectious contact ...
Kenah, Eben
core +2 more sources
The reachability of contagion in temporal contact networks: how disease latency can exploit the rhythm of human behavior [PDF]
arXiv, 2017 The symptoms of many infectious diseases influence their host to withdraw from social activity limiting their own potential to spread. Successful transmission therefore requires the onset of infectiousness to coincide with a time when its host is ...
Bansal, Shweta +2 more
core +2 more sources
The Infectious Disease Ontology in the Age of COVID-19 [PDF]
, 2021 The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health.
Babcock, Shane +3 more
core +1 more source
The impact of economic crises on communicable disease transmission and control: a systematic review of the evidence. [PDF]
, 2011 There is concern among public health professionals that the current economic downturn, initiated by the financial crisis that started in 2007, could precipitate the transmission of infectious diseases while also limiting capacity for control.
Abubakar, Ibrahim +11 more
core +7 more sources
BMC Infectious Diseases, 2020 Background Severe fever with thrombocytopenia syndrome (SFTS) is a severe systemic virus infectious disease usually having multi-organ dysfunction which resembles sepsis.
Li Wang +3 more
doaj +1 more source
Machine Learning for Infectious Disease Risk Prediction: A Survey [PDF]
arXiv, 2023 Infectious diseases, either emerging or long-lasting, place numerous people at risk and bring heavy public health burdens worldwide. In the process against infectious diseases, predicting the epidemic risk by modeling the disease transmission plays an essential role in assisting with preventing and controlling disease transmission in a more effective ...
arxiv
Automated Infectious Disease Forecasting: Use-cases and Practical Considerations for Pipeline Implementation [PDF]
arXiv, 2022 Real-time forecasting of disease outbreaks requires standardized outputs generated in a timely manner. Development of pipelines to automate infectious disease forecasts can ensure that parameterization and software dependencies are common to any execution of the forecasting code.
arxiv
A Real-World Assessment of Clinical Outcomes and Safety of Eravacycline: A Novel Fluorocycline
Infectious Diseases and Therapy, 2020 Background Eravacycline is a novel fluorocycline approved for treatment of intraabdominal infections, with a broad spectrum of activity against a range of pathogens including multidrug-resistant species, including ESBL- or KPC-producing isolates.
Nicholas Van Hise +11 more
doaj +1 more source
A survey on modelling of infectious disease spread and control on social contact networks [PDF]
arXiv, 2021 Infectious diseases are a significant threat to human society which was over sighted before the incidence of COVID-19, although according to the report of the World Health Organisation (WHO) about 4.2 million people die annually due to infectious disease.
arxiv