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Seesaw scenarios of lockdown for Covid-19 pandemic

Simulation and failure analysis

Bibliographic Data

ID21230345
AuthorsBehrouz Afshar-Nadjafi (0000-0002-3391-8411, Qazvin Islamic Azad University, corresponding author), Seyed Taghi Akhavan Niaki (0000-0001-6281-055X, Sharif University of Technology)
Year2021
Volume73
Pages103108
Publication date2021-10-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2021.103108
PMID34178585
OpenAlexW3175796313
LanguageEN
Citations received2
References cited31

Attack rate · Business · Computer security · Disease · Environmental health · Outbreak · Pandemic · Population · Seesaw molecular geometry · Social distance · Susceptible individual · Telecommunications · Transmission rate · Complex Network Analysis Techniques · Computer Science · COVID-19 epidemiological studies · Engineering · Medicine · SARS-CoV-2 and COVID-19 Research · Virology

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Citations per year0.5
Citation span2022 - 2023 (2)
Highly citedNo

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