Effect of Infection Hubs in District-Based Network Epidemic Spread Model
A network model of epidemic spread accounting for inhomogeneous population district division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of infection development in the area, for example, of a city divided into several population districts. The districts are character...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/2/1194 |
| _version_ | 1797446402093088768 |
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| author | Vladimir Khorev Viktor Kazantsev Alexander Hramov |
| author_facet | Vladimir Khorev Viktor Kazantsev Alexander Hramov |
| author_sort | Vladimir Khorev |
| collection | DOAJ |
| description | A network model of epidemic spread accounting for inhomogeneous population district division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of infection development in the area, for example, of a city divided into several population districts. The districts are characterized by a certain intensity of contact inside and with inter-district communication that can be generally controlled by the authorities. Specifically, we consider the effect of the central district, which is the hub of infection. We investigate how the interaction strength influences the city’s level of epidemic development. We obtained that the final infected amount in the district rises with an increasing degree of connection with the hub. However, the model situation was not limited by the first outbreak but included the subsequent waves of infection. We obtained that the appearance and disappearance of subsequent waves of infection essentially depended on the intensity of communication with the infected hub. Our results suggest the mechanism where stricter communication policy can negatively affect the subsequent infection waves. |
| first_indexed | 2024-03-09T13:40:00Z |
| format | Article |
| id | doaj.art-10e92ed118144764bff024a530323c54 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T13:40:00Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-10e92ed118144764bff024a530323c542023-11-30T21:07:31ZengMDPI AGApplied Sciences2076-34172023-01-01132119410.3390/app13021194Effect of Infection Hubs in District-Based Network Epidemic Spread ModelVladimir Khorev0Viktor Kazantsev1Alexander Hramov2Neuroscience and Cognitive Technology Lab, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, 1, Universitetskaya Str., 420500 Innopolis, RussiaNeurotechnology Deparment, Lobachevsky University, 603950 Nizhniy Novgorod, RussiaCenter for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, RussiaA network model of epidemic spread accounting for inhomogeneous population district division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of infection development in the area, for example, of a city divided into several population districts. The districts are characterized by a certain intensity of contact inside and with inter-district communication that can be generally controlled by the authorities. Specifically, we consider the effect of the central district, which is the hub of infection. We investigate how the interaction strength influences the city’s level of epidemic development. We obtained that the final infected amount in the district rises with an increasing degree of connection with the hub. However, the model situation was not limited by the first outbreak but included the subsequent waves of infection. We obtained that the appearance and disappearance of subsequent waves of infection essentially depended on the intensity of communication with the infected hub. Our results suggest the mechanism where stricter communication policy can negatively affect the subsequent infection waves.https://www.mdpi.com/2076-3417/13/2/1194SIR modelCOVID-19networkinfection hubcommunication |
| spellingShingle | Vladimir Khorev Viktor Kazantsev Alexander Hramov Effect of Infection Hubs in District-Based Network Epidemic Spread Model Applied Sciences SIR model COVID-19 network infection hub communication |
| title | Effect of Infection Hubs in District-Based Network Epidemic Spread Model |
| title_full | Effect of Infection Hubs in District-Based Network Epidemic Spread Model |
| title_fullStr | Effect of Infection Hubs in District-Based Network Epidemic Spread Model |
| title_full_unstemmed | Effect of Infection Hubs in District-Based Network Epidemic Spread Model |
| title_short | Effect of Infection Hubs in District-Based Network Epidemic Spread Model |
| title_sort | effect of infection hubs in district based network epidemic spread model |
| topic | SIR model COVID-19 network infection hub communication |
| url | https://www.mdpi.com/2076-3417/13/2/1194 |
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