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Situating agent-based modelling in population health research [PDF]
Today’s most troublesome population health challenges are often driven by social and environmental determinants, which are difficult to model using traditional epidemiological methods.
Eric Silverman +6 more
doaj +2 more sources
An agent-based modelling framework to study growth mechanisms in EGFR-L858R mutant cell alveolar type II cells [PDF]
Mutations in the epidermal growth factor receptor (EGFR) are common in non-small cell lung cancer (NSCLC), particularly in never-smoker patients. However, these mutations are not always carcinogenic, and have recently been reported in histologically ...
Helena Coggan +6 more
doaj +2 more sources
Agent-based computational models [PDF]
Published
Flache, Andreas +1 more
openaire +3 more sources
Modelling the impact of timelines of testing and isolation on disease control
Testing and isolation remain a key component of public health responses to both persistent and emerging infectious diseases. Although the value of these measures have been demonstrated in combating recent outbreaks including the COVID-19 pandemic and ...
Ao Li, Zhen Wang, Seyed M. Moghadas
doaj +1 more source
Economic evaluation of COVID-19 rapid antigen screening programs in the workplace
Background Diagnostic testing has been pivotal in detecting SARS-CoV-2 infections and reducing transmission through the isolation of positive cases. We quantified the value of implementing frequent, rapid antigen (RA) testing in the workplace to identify
Thomas N. Vilches +4 more
doaj +1 more source
Rapid disappearance of influenza following the implementation of COVID-19 mitigation measures in Hamilton, Ontario [PDF]
Background: Public health measures, such as physical distancing and closure of schools and non-essential services, were rapidly implemented in Canada to interrupt the spread of the coronavirus disease 2019 (COVID-19).
Kevin Zhang +5 more
doaj +1 more source
Background Nunavut, the northernmost Arctic territory of Canada, experienced three community outbreaks of the coronavirus disease 2019 (COVID-19) from early November 2020 to mid-June 2021.
Thomas N. Vilches +7 more
doaj +1 more source
An Agent-Based Classification Model [PDF]
The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems.
Gu, Feng +2 more
openaire +3 more sources
Evaluation of TB elimination strategies in Canadian Inuit populations: Nunavut as a case study
Tuberculosis (TB) continues to disproportionately affect Inuit populations in Canada with some communities having over 300 times higher rate of active TB than Canadian-born, non-Indigenous people. Inuit Tuberculosis Elimination Framework has set the goal
Elaheh Abdollahi +5 more
doaj +1 more source
Agent-Based Model Exploration [PDF]
The previous chapters have allowed us to introduce the basics of agent-based model creation with NetLogo. This has resulted in a model such as the one used in our running example. Once the model has been built, the aim is to manipulate it in such a way that new knowledge about the modeled phenomenon can be created.
Banos, Arnaud +3 more
openaire +3 more sources

