Simulating the Covid-19 epidemic event and its prevention measures using python programming

نویسندگان

چکیده

A simulation is needed to observe and indicate how much preventive measures influence the pandemic flow, controlling stopping it. This study <span>succeeded in making a stochastic susceptible infected recovered deceased (SIRD) using Python programming language determine effectiveness of prevention methods such as masks policy, social distancing, vaccination, quarantine, lockdown. Every measure modeled based on an equivalent actual event every essential aspect that affects course pandemic. person represented circle moving freely two-dimensional space, disease spreads through person-to-person contact. simulator then tested parameters simulate COVID-19 found significant results between communities implement those do not. We within 106 days, 284 people were infected, but when five are applied for total 33 only 31 infected. Adequate epidemic events their measures, this can also be used learning tool with factors population density, mobility, infection rate, mortality, effect each measure. Users change interactive straightforward software tools.</span>

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ژورنال

عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science

سال: 2022

ISSN: ['2502-4752', '2502-4760']

DOI: https://doi.org/10.11591/ijeecs.v26.i1.pp278-288