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The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19
The COVID-19 pandemic has presented a major challenge to public health systems worldwide. Artificial intelligence (AI) and machine learning (ML) have...
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Geography as data
The U.S. Census Bureau was established to enumerate all of the residents of the country every ten years. Its geographic units, and the counts of...
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Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries
Optimal control theory can be a useful tool to identify the best strategies for the management of infectious diseases. In most of the applications to...
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Impact of Travel on Spread of Infection
In this paper, we are concerned with a generalization of the classical SIR model describing the dynamics of an infectious disease. Two distinctive...
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Transnational Terrorism as a Threat: Cross-Border Threats
Transnational terrorism is often portrayed as a force that can clandestinely threaten enemies across oceans and borders. This portrayal, or...
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Business Intelligence Modelling for Studying Science Parks Externalities
The key to business success for many companies is the correct use of data to make better decisions. Companies need to use robust and efficient tools...
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Mathematical Models: Perspectives of Mathematical Modelers and Public Health Professionals
This chapter describes mathematical epidemiology from the perspectives of mathematical modelers and public health professionals. The mathematical...
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Social Media—Impact on Sexual and Reproductive Knowledge of Adolescents in South India
The study reveals social media impact on sexual reproductive knowledge of adolescents’ in Tirupati, Chittoor district of Andhra Pradesh. The...
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Circulation of Respiratory Viruses in the City: Towards an Agent-Based Ecosystem model
Mathematical models play an important role in management of outbreaks of acute respiratory infections (ARI). While such models are generally used to...
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A Multistage Mosquito-Centred Mathematical Model for Malaria Dynamics that Captures Mosquito Gonotrophic Cycle Contributions to Its Population Abundance and Malaria Transmission
A mathematical model for malaria transmission dynamics involving variable mosquito populations is developed and analysed. The model, which comprises...
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Explainer: Measuring clustering and segregation
This explainer will focus on a statistic—“Moran’s I”—that is so ubiquitously used in geography to measure spatial structure in a dataset that it has...
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Introduction: Modern Approaches to the Study of Human Cognition
This introductory chapter presents some background and context for some of the techniques and approaches to cognitive modeling and simulations. It...
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Trustworthiness of COVID-19 News and Guidelines
COVID-19 pandemic is a serious health concern issue over the past couple of years. It spreads mostly due to bio-contacts, which leads people to...
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Analysis of metapopulation models of the transmission of SARS-CoV-2 in the United States
During the COVID-19 pandemic, renewal equation estimates of time-varying effective reproduction numbers were useful to policymakers in evaluating the...
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A Model of Cannibalism and Reproductive Synchrony
Motivated by the empirical findings in Chaps. 7 – 9...
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An immuno-epidemiological model with waning immunity after infection or vaccination
In epidemics, waning immunity is common after infection or vaccination of individuals. Immunity levels are highly heterogeneous and dynamic. This...
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Classification of MRI Images for Detecting Alzheimer’s Disease Using Convolutional Neural Network
According to the Alzheimer Foundation of America (AFA), 4 million patients are currently affected due to Alzheimer’s Disease (AD) where it forms 6th...
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An Analytic Look at the Last Pandemic’s Spread and Its Control by Decision-Makers
An agent-based model is a stochastic model in which the population’s characteristics, such as age, health status, sex, social features, and others,...
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A Framework for Network-Based Epidemiological Modeling of Tuberculosis Dynamics Using Synthetic Datasets
We present a framework for discrete network-based modeling of TB epidemiology in US counties using publicly available synthetic datasets. We explore...
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An ontology network for Diabetes Mellitus in Mexico
BackgroundMedical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from diabetic patients through monitoring and...
