ArticleEuropean journal of operational research2011
Generalized Markov Models of Infectious Disease Spread: A Novel Framework for Developing Dynamic Health Policies.
Article in European journal of operational research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- A novel fractal fractional mathematical model for HIV/AIDS transmission stability and sensitivity with numerical analysis.Scientific reports · 2025Article
- A novel complex social network rumor stochastic model: Convergence in distribution to a final rumor size.Heliyon · 2023Article
- The multilevel hierarchical data EM-algorithm. Applications to discrete-time Markov chain epidemic models.Heliyon · 2022Article
- Game-Theoretic Frameworks for Epidemic Spreading and Human Decision-Making: A Review.Dynamic games and applications · 2022Article
- Toolbox to simulate and mitigate COVID-19 propagation.SoftwareX · 2021Article
- Regional Resource Assessment During the COVID-19 Pandemic in Italy: Modeling Study.JMIR medical informatics · 2021Article
- Fighting against COVID-19: what operations research can help and the sense-and-respond framework.Annals of operations research · 2021Article
- Studying the effect of lockdown using epidemiological modelling of COVID-19 and a quantum computational approach using the Ising spin interaction.Scientific reports · 2020Article
- Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy.International journal of environmental research and public health · 2020Article
- COVID-19 and tuberculosis: A mathematical model based forecasting in Delhi, India.The Indian journal of tuberculosis · 2020Article
- Kemeny-based testing for COVID-19.PloS one · 2020Article
- Estimation of COVID-19 spread curves integrating global data and borrowing information.PloS one · 2020Article
- On the Use of Markov Models in Pharmacoeconomics: Pros and Cons and Implications for Policy Makers.Frontiers in public health · 2020Article
- Tracking Nosocomial Diseases at Individual Level with a Real-Time Indoor Positioning System.Journal of medical systems · 2018Article
- A modelling framework based on MDP to coordinate farmers' disease control decisions at a regional scale.PloS one · 2018Article
- A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models.PLoS computational biology · 2017Article
- Article
- Identifying dynamic tuberculosis case-finding policies for HIV/TB coepidemics.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Dynamic health policies for controlling the spread of emerging infections: influenza as an example.PloS one · 2011Article
- Sustainable border control policy in the COVID-19 pandemic: A math modeling study.Travel medicine and infectious diseaseArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We propose a class of mathematical models for the transmission of infectious diseases in large populations. This class of models, which generalizes the existing discrete-time Markov chain models of infectious diseases, is compatible with efficient dynamic optimization techniques to assist real-time selection and modification of public health interventions in response to evolving epidemiological situations and changing availability of information and medical resources. While retaining the strength of existing classes of mathematical models in their ability to represent the within-host natural history of disease and between-host transmission dynamics, the proposed models possess two advantages over previous models: (1) these models can be used to generate optimal dynamic health policies for controlling spreads of infectious diseases, and (2) these models are able to approximate the spread of the disease in relatively large populations with a limited state space size and computation time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.