AIMC Topic: Basic Reproduction Number

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Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study.

Journal of theoretical biology Mar 20, 2025
Cholera, an acute diarrheal disease, is a serious concern in developing and underdeveloped areas. A qualitative understanding of cholera epidemics aims to foresee transmission patterns based on reported data and mechanistic models. The mechanistic mo...
Humans Neural Networks, Computer Machine Learning Forecasting Disease Outbreaks Malawi Markov Chains Basic Reproduction Number Monte Carlo Method Cholera Epidemiological Models
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A deep learning based surrogate model for the parameter identification problem in probabilistic cellular automaton epidemic models.

Computer methods and programs in biomedicine Apr 1, 2021
BACKGROUND AND OBJECTIVE: an accurate estimation of the epidemiological model coefficients helps understand the basic principles of disease spreading. Some studies showed that dozens of hours are needed to simulate the traditional probabilistic cellu...
Humans Computer Simulation Deep Learning Models, Statistical Basic Reproduction Number Epidemics
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Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care.

Journal of healthcare engineering Oct 29, 2020
COVID-19 presents an urgent global challenge because of its contagious nature, frequently changing characteristics, and the lack of a vaccine or effective medicines. A model for measuring and preventing the continued spread of COVID-19 is urgently re...
Humans Machine Learning Pandemics COVID-19 Algorithms Forecasting Delivery of Health Care Computer Simulation Female SARS-CoV-2 Male Saudi Arabia Models, Biological Quarantine Disease Susceptibility Basic Reproduction Number Stochastic Processes Physical Distancing Biomedical Engineering
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Estimation of the Basic Reproduction Number and Vaccination Coverage of Influenza in the United States (2017-18).

Journal of research in health sciences Sep 22, 2018
BACKGROUND: Determining the epidemic threshold parameter helps health providers calculate the coverage while guiding them in planning the process of vaccination strategy. Since the trend and mechanism of influenza is very similar in different countri...
Humans Vaccination United States Bayes Theorem Influenza, Human Health Services Needs and Demand Basic Reproduction Number Epidemics Vaccination Coverage
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