Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico.
In this paper we model the spreading of the SARS-CoV-2 in Mexico by introducing a new stochastic approximation constructed from first principles, where the number of new infected individuals caused by a single infectious individual per unit time (a day), is a random variable of a time-dependent Pois...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0275216 |
| _version_ | 1828194427185659904 |
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| author | Pablo Carlos López Vázquez Gilberto Sánchez González Jorge Martínez Ortega Renato Salomón Arroyo Duarte |
| author_facet | Pablo Carlos López Vázquez Gilberto Sánchez González Jorge Martínez Ortega Renato Salomón Arroyo Duarte |
| author_sort | Pablo Carlos López Vázquez |
| collection | DOAJ |
| description | In this paper we model the spreading of the SARS-CoV-2 in Mexico by introducing a new stochastic approximation constructed from first principles, where the number of new infected individuals caused by a single infectious individual per unit time (a day), is a random variable of a time-dependent Poisson distribution. The model, structured on the basis of a Latent-Infectious-(Recovered or Deceased) (LI(RD)) compartmental approximation together with a modulation of the mean number of new infections (the Poisson parameters), provides a good tool to study theoretical and real scenarios. |
| first_indexed | 2024-04-12T09:26:06Z |
| format | Article |
| id | doaj.art-82b233c7d94343f8be21b244b5bb244f |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T09:26:06Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-82b233c7d94343f8be21b244b5bb244f2022-12-22T03:38:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01179e027521610.1371/journal.pone.0275216Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico.Pablo Carlos López VázquezGilberto Sánchez GonzálezJorge Martínez OrtegaRenato Salomón Arroyo DuarteIn this paper we model the spreading of the SARS-CoV-2 in Mexico by introducing a new stochastic approximation constructed from first principles, where the number of new infected individuals caused by a single infectious individual per unit time (a day), is a random variable of a time-dependent Poisson distribution. The model, structured on the basis of a Latent-Infectious-(Recovered or Deceased) (LI(RD)) compartmental approximation together with a modulation of the mean number of new infections (the Poisson parameters), provides a good tool to study theoretical and real scenarios.https://doi.org/10.1371/journal.pone.0275216 |
| spellingShingle | Pablo Carlos López Vázquez Gilberto Sánchez González Jorge Martínez Ortega Renato Salomón Arroyo Duarte Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico. PLoS ONE |
| title | Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico. |
| title_full | Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico. |
| title_fullStr | Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico. |
| title_full_unstemmed | Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico. |
| title_short | Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico. |
| title_sort | stochastic epidemiological model simulations of the sars cov 2 spreading in mexico |
| url | https://doi.org/10.1371/journal.pone.0275216 |
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