Graph Theory Approach to COVID-19 Transmission by Municipalities and Age Groups
نویسندگان
چکیده
The COVID-19 pandemic remains a global problem that affects the health of millions people and world economy. Identifying how movement between regions world, countries, municipalities close contact individuals different age groups promotes spread infectious diseases is pressing concern for society, during epidemic outbreaks pandemics, such as COVID-19. Networks Graph Theory provide adequate powerful tools to study communicable diseases. In this work, we use analyze transmission dynamics Aveiro district, in Portugal, groups, considering data from 2020 2021, order better understand disease, well preparing actions possible future pandemics. We used digraph structure models SARS-CoV-2 virus Aveiro’s groups. To node fits over digraphs, studied centrality measures, namely eigencentrality, closeness, degree, betweenness. Transmission ratios were also considered determine whether there certain or municipals more responsible virus’s spread. According results research, transmissions mostly occur within same social groupings, is, However, eliminating loops, reveals Aveiro, Estarreja Ovar are relevant nodes network group 40–49 Furthermore, conclude vaccination effective reducing virus.
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ژورنال
عنوان ژورنال: Mathematical and computational applications
سال: 2022
ISSN: ['1300-686X', '2297-8747']
DOI: https://doi.org/10.3390/mca27050086