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Antibiotic resistant bacteria are a serious threat to public health system. In order to be able to model the spread of this pathogens within healthcare system network, it is necessary to obtain information on patient movements and the…

Applications · Statistics 2022-06-16 M. J. Piotrowska , J. Rymuza , K. Sakowski

Multidrug-resistant Enterobacteriaceae (MDR-E) have become a major public health threat in many European countries. While traditional infection control strategies primarily target the containment of intra-hospital transmission, there is…

Applications · Statistics 2019-03-13 Monika J. Piotrowska , Konrad Sakowski

A hybrid network--deterministic model for simulation of multiresistant pathogen spread in a healthcare system is presented. The model accounts for two paths of pathogen transmission between the healthcare facilities: inter-hospital patient…

Populations and Evolution · Quantitative Biology 2021-01-27 M. J. Piotrowska , K. Sakowski , A. Karch , H. Tahir , J. Horn , M. E. Kretzschmar , R. T. Mikolajczyk

Pathogen outbreaks (i.e., outbreaks of bacteria and viruses) in hospitals can cause high mortality rates and increase costs for hospitals significantly. An outbreak is generally noticed when the number of infected patients rises above an…

Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As retirements, mass quarantines and absence due to sickness during pandemics, or other shocks thin out these networks,…

Yet in spite of advances in hospital treatment, hospitals continue to be a breeding ground for several airborne diseases and for diseases that are transmitted through close contacts like SARS, methicillin-resistant Staphylococcus aureus…

Other Quantitative Biology · Quantitative Biology 2007-11-06 Fredrik Liljeros , Petter Holme , Johan Giesecke

Emergent antibiotic-resistant bacterial infections are an increasingly significant source of morbidity and mortality. Antibiotic-resistant organisms have a natural reservoir in hospitals, and recent estimates suggest that almost 2 million…

Healthcare information systems deal with a large amount of Personally Identifiable Information related to patients like dates of birth and social security numbers, patients health information and history, and financial information like…

Cryptography and Security · Computer Science 2022-02-15 Sreejith Gopinath , Aspen Olmsted

Background: Animal trade plays an important role for the spread of infectious diseases in livestock populations. As a case study, we consider pig trade in Germany, where trade actors (agricultural premises) form a complex network. The…

Hospitals are complex systems and optimising their function is critical to the provision of high quality, cost effective healthcare. Nevertheless, metrics of performance have to date focused on the performance of individual elements rather…

Social and Information Networks · Computer Science 2019-08-06 Katharina Kohler , Ari Ercole

Chronic diseases frequently co-occur in patterns that are unlikely to arise by chance, a phenomenon known as multimorbidity. This growing challenge for patients and healthcare systems is amplified by demographic aging and the rising burden…

Physics and Society · Physics 2025-10-14 Johanna Einsiedler , Katharina Ledebur , Peter Klimek , Laust Hvas Mortensen

In our paper we analyze the attack surface of German hospitals and healthcare providers in 2020 during the COVID-19 Pandemic. The analysis looked at the publicly visible attack surface utilizing a Distributed Cyber Recon System, utilizing…

Cryptography and Security · Computer Science 2021-01-21 Johannes Klick , Robert Koch , Thomas Brandstetter

Based on an empirical analysis of the network structure of the Austrian inter-bank market, we study the flow of funds through the banking network following exogenous shocks to the system. These shocks are implemented by stochastic changes…

Other Condensed Matter · Physics 2008-12-02 Michael Boss , Martin Summer , Stefan Thurner

Patients being admitted to a hospital will most often be associated with a certain clinical development during their stay. However, there is always a risk of patients being subject to the wrong diagnosis or to a certain treatment not…

Machine Learning · Computer Science 2023-11-16 Helge Fredriksen , Per Joel Burman , Ashenafi Woldaregay , Karl Øyvind Mikalsen , Ståle Nymo

The state of health of patients is typically not characterized by a single disease alone but by multiple (comorbid) medical conditions. These comorbidities may depend strongly on age and gender. We propose a specific phenomenological…

Medical Physics · Physics 2016-10-03 Anna Chmiel , Peter Klimek , Stefan Thurner

The recent increase in the availability of medical data, possible through automation and digitization of medical equipment, has enabled more accurate and complete analysis on patients' medical data through many branches of data science. In…

Count data modeling has been extensively applied in medical sciences to analyze various healthcare datasets. Numerous probability models have been developed to address diverse aspects of healthcare data. In this study, we propose a novel…

Methodology · Statistics 2025-09-04 Peer Bilal Ahmad , Na Elah

We analyse prior risk factors for severe, critical or fatal courses of Covid-19 based on a retrospective cohort using claims data of the AOK Bayern. As our main methodological contribution, we avoid prior grouping and pre-selection of…

Applications · Statistics 2021-02-16 Roland Jucknewitz , Oliver Weidinger , Anja Schramm

Pathogenic bacteria present a large disease burden on human health. Control of these pathogens is hampered by rampant lateral gene transfer, whereby pathogenic strains may acquire genes conferring resistance to common antibiotics. Here we…

Populations and Evolution · Quantitative Biology 2014-06-06 Kevin J. Emmett , Raul Rabadan

Hand-hygiene compliance and contacts of health-care workers largely determine the potential paths of pathogen transmission in hospital wards. We explored how the combination of data collected by two automated infrastructures based on…

Physics and Society · Physics 2016-01-18 Rossana Mastrandrea , Alberto Soto-Aladro , Philippe Brouqui , Alain Barrat
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