[HTML][HTML] Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

CE Overton, HB Stage, S Ahmad… - Infectious Disease …, 2020 - Elsevier
During an infectious disease outbreak, biases in the data and complexities of the underlying
dynamics pose significant challenges in mathematically modelling the outbreak and …

Using spectral characterization to identify healthcare-associated infection (HAI) patients for clinical contact precaution

J Cui, S Cho, M Kamruzzaman, M Bielskas… - Scientific Reports, 2023 - nature.com
Healthcare-associated infections (HAIs) are a major problem in hospital infection control.
Although HAIs can be suppressed using contact precautions, such precautions are …

Modeling and optimization of bakery production scheduling to minimize makespan and oven idle time

M Babor, O Paquet-Durand, R Kohlus, B Hitzmann - Scientific Reports, 2023 - nature.com
Makespan dominates the manufacturing expenses in bakery production. The high energy
consumption of ovens also has a substantial impact, which bakers may overlook. Bakers …

Temporal clustering of social interactions trades-off disease spreading and knowledge diffusion

G Cencetti, L Lucchini, G Santin… - Journal of the …, 2024 - royalsocietypublishing.org
Non-pharmaceutical measures such as preventive quarantines, remote working, school and
workplace closures, lockdowns, etc. have shown effectiveness from an epidemic control …

Using contact network dynamics to implement efficient interventions against pathogen spread in hospital settings: A modelling study

QJ Leclerc, A Duval, D Guillemot, L Opatowski… - PLoS …, 2024 - journals.plos.org
Background Long-term care facilities (LTCFs) are hotspots for pathogen transmission.
Infection control interventions are essential, but the high density and heterogeneity of …

Preserving friendships in school contacts: an algorithm to construct synthetic temporal networks for epidemic modelling

L Calmon, E Colosi, G Bassignana, A Barrat, V Colizza - medRxiv, 2024 - medrxiv.org
High-resolution temporal data on contacts between hosts provide crucial information on the
mixing patterns underlying infectious disease transmission. Publicly available data sets of …

Limited data on infectious disease distribution exposes ambiguity in epidemic modeling choices

L Di Domenico, E Valdano, V Colizza - Physical Review Research, 2024 - APS
Traditional disease transmission models assume that the infectious period is exponentially
distributed with a recovery rate fixed in time and across individuals. This assumption …

Hospital-level work organization drives the spread of SARS-CoV-2 within hospitals: insights from a multi-ward model

A Oodally, P Hammami, A Reilhac… - MedRxiv, 2021 - medrxiv.org
extensive protective measures, SARS-CoV-2 widely circulates within healthcare facilities,
posing a significant risk to both patients and healthcare workers. Several control strategies …

New nurse scheduling model considering nurses' seniority and the possibility of consecutive shifts under COVID-19 (A real case study)

S Malekian, AR Komijan, A Shoja… - International Journal of …, 2023 - Taylor & Francis
The nurse scheduling problem is the assignment of nurses to different working shifts while
considering the existing constraints and rules. In recent years, medical centers have faced …

Using contact network dynamics to implement efficient interventions against pathogen spread in hospital settings

QJ Leclerc, A Duval, D Guillemot, L Opatowski… - medRxiv, 2023 - medrxiv.org
Long-term care facilities (LTCF) are hotspots for pathogen transmission. Infection control
interventions are essential, but the high density and heterogeneity of inter-individual …