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                <text>Coronavirus</text>
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                <text>Dominio científico: Coronavirus</text>
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              <text>SIM-D: An Agent-Based Simulator for Modeling Contagion in Population</text>
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              <text>Muhammad Waleed, Aftab Khan, Tariq Kamal, Tai-Won Um, Zaka  Ullah Zahid</text>
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              <text>The spread of infectious diseases such as COVID-19, flu influenza, malaria, dengue, mumps, and rubella in a population is a big threat to public health. The infectious diseases spread from one person to another person through close contact. Without proper planning, an infectious disease can become an epidemic and can result in large human and financial losses. To better respond to the spread of infectious disease and take measures for its control, the public health authorities need models and simulations to study the spread of such diseases. In this paper, an agent-based simulation engine is presented that models the spread of infectious diseases in the population. The simulation takes as an input the human-to-human interactions, population dynamics, disease transmissibility and disease states and shows the spread of disease over time. The simulation engine supports non-pharmaceutical interventions and shows its impact on the disease spread across locations. A unique feature of this tool is that it is generic; therefore, it can simulate a wide variety of infectious disease models (SIR), susceptible-infectious-susceptible (SIS) and susceptible-infectious (SI). The proposed simulation engine will help the policy-makers and public health authorities study the behavior of disease spreading; thus, allowing for better planning.</text>
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              <text>2020</text>
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              <text>computational epidemiology, Modeling and simulation, agent-based approach</text>
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              <text>10.3390/app10217745</text>
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              <text>Epidemiology and Health</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>Korean Society of Epidemiology</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics</text>
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