Aissam Jebrane
Biographic Data
| ID | 8800533 |
|---|---|
| NAME | Aissam Jebrane |
| GIVEN NAMES | Aissam |
| FAMILY NAME | Jebrane |
| SIGNATURE | JÉBRANE A |
| AFFILIATIONS | Ecole Centrale Casablanca |
| ORCID | 0000-0001-9479-0039 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Characterization of superspreaders movement in a bidirectional corridor using a social force model
During infectious disease outbreaks, some infected individuals may spread the disease widely and amplify risks in the community. People whose daily activities bring them in close proximity to many others can unknowingly become superspreaders . The use of contact tracking based on social networks, GPS, or mobile tracking data can help to identify superspreaders and break the chain of transmission. We propose a model that aims at providing insight …
Mathematical Modeling Predicts That Strict Social Distancing Measures Would Be Needed to Shorten the Duration of Waves of Covid-19 Infections in Vietnam
Coronavirus disease 2019 (COVID-19) emerged in Wuhan, China in 2019, has spread throughout the world and has since then been declared a pandemic. As a result, COVID-19 has caused a major threat to global public health. In this paper, we use mathematical modeling to analyze the reported data of COVID-19 cases in Vietnam and study the impact of non-pharmaceutical interventions. To achieve this, two models are used to describe the transmission dynam…
No prominent works on this page.
Mathematical Modeling Predicts That Strict Social Distancing Measures Would Be Needed to Shorten the Duration of Waves of Covid-19 Infections in Vietnam
Coronavirus disease 2019 (COVID-19) emerged in Wuhan, China in 2019, has spread throughout the world and has since then been declared a pandemic. As a result, COVID-19 has caused a major threat to global public health. In this paper, we use mathematical modeling to analyze the reported data of COVID-19 cases in Vietnam and study the impact of non-pharmaceutical interventions. To achieve this, two models are used to describe the transmission dynam…
Characterization of superspreaders movement in a bidirectional corridor using a social force model
During infectious disease outbreaks, some infected individuals may spread the disease widely and amplify risks in the community. People whose daily activities bring them in close proximity to many others can unknowingly become superspreaders . The use of contact tracking based on social networks, GPS, or mobile tracking data can help to identify superspreaders and break the chain of transmission. We propose a model that aims at providing insight …
Computer Science (2 works) · 2019-20 coronavirus outbreak (1 works) · Acoustics (1 works) · Basic reproduction number (1 works) · COVID-19 epidemiological studies (1 works) · COVID-19 Pandemic Impacts (1 works) · Demography (1 works) · Development economics (1 works) · Disease (1 works) · Econometrics (1 works)