Using artificial intelligence in infection prevention

F Fitzpatrick, A Doherty, G Lacey - Current treatment options in infectious …, 2020 - Springer
Abstract Purpose of Review Artificial intelligence (AI) offers huge potential in infection
prevention and control (IPC). We explore its potential IPC benefits in epidemiology …

Applications of network analysis to routinely collected health care data: a systematic review

JC Brunson, RC Laubenbacher - Journal of the American …, 2018 - academic.oup.com
Objective To survey network analyses of datasets collected in the course of routine
operations in health care settings and identify driving questions, methods, needs, and …

Patient mortality is associated with staff resources and workload in the ICU: a multicenter observational study

A Neuraz, C Guérin, C Payet, S Polazzi… - Critical care …, 2015 - journals.lww.com
Objective: Matching healthcare staff resources to patient needs in the ICU is a key factor for
quality of care. We aimed to assess the impact of the staffing-to-patient ratio and workload …

Integrated Genomic and Social Network Analyses of SARS-CoV-2 Transmission in the Healthcare Setting

J Keehner, SR Abeles, CA Longhurst… - Clinical Infectious …, 2024 - academic.oup.com
Background Infection prevention (IP) measures are designed to mitigate the transmission of
pathogens in healthcare. Using large-scale viral genomic and social network analyses, we …

Strong social relationships are associated with decreased longevity in a facultatively social mammal

DT Blumstein, DM Williams, AN Lim… - … of the Royal …, 2018 - royalsocietypublishing.org
Humans in strong social relationships are more likely to live longer because social
relationships may buffer stressors and thus have protective effects. However, a shortcoming …

[HTML][HTML] The use of networks in spatial and temporal computational models for outbreak spread in epidemiology: A systematic review

L Pujante-Otalora, B Canovas-Segura… - Journal of Biomedical …, 2023 - Elsevier
Objectives To examine recent literature in order to present a comprehensive overview of the
current trends as regards the computational models used to represent the propagation of an …

Dynamic contact networks of patients and MRSA spread in hospitals

LEC Rocha, V Singh, M Esch, T Lenaerts, F Liljeros… - Scientific reports, 2020 - nature.com
Methicillin-resistant Staphylococcus aureus (MRSA) is a difficult-to-treat infection. Increasing
efforts have been taken to mitigate the epidemics and to avoid potential outbreaks in low …

How next-generation sequencing and multiscale data analysis will transform infectious disease management

TR Pak, A Kasarskis - Clinical Infectious Diseases, 2015 - academic.oup.com
Recent reviews have examined the extent to which routine next-generation sequencing
(NGS) on clinical specimens will improve the capabilities of clinical microbiology …

Contact among healthcare workers in the hospital setting: developing the evidence base for innovative approaches to infection control

KM English, JM Langley, A McGeer, N Hupert… - BMC infectious …, 2018 - Springer
Background Nosocomial, or healthcare-associated infections (HAI), exact a high medical
and financial toll on patients, healthcare workers, caretakers, and the health system …

A data-driven framework for identifying intensive care unit admissions colonized with multidrug-resistant organisms

Ç Çaǧlayan, SL Barnes, LL Pineles… - Frontiers in Public …, 2022 - frontiersin.org
Background The rising prevalence of multi-drug resistant organisms (MDROs), such as
Methicillin-resistant Staphylococcus aureus (MRSA), Vancomycin-resistant Enterococci …