Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases
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Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases
Lessons Learned From COVID-19
Velasco-Hernandez, Jorge X.; Hernandez-Vargas, Esteban A.; Sanchez, Edgar N.
Elsevier Science & Technology
03/2023
348
Mole
Inglês
9780323950640
15 a 20 dias
Descrição não disponível.
1. Modeling during an unprecedented pandemic
2. Global epidemiology and impact of the SARS-CoV-2 pandemic
3. Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling
4. On spatial heterogeneity of COVID-19 using shape analysis of pandemic curves
5. Pandemic response: Isolationism or solidarity?
6. Optimizing contact tracing: Leveraging contact network structure
7. Applications of deep learning in forecasting COVID-19 pandemic and county-level risk warning
8. COVID-19 population dynamics neural control from a complex network perspective
9. An agent-based model for COVID-19 and its interventions and impact in different social phenomena
10. Implementation of mitigation measures and modeling of in-hospital dynamics depending on the COVID-19 infection status
11. A mathematical model for the reopening of schools in Mexico
12. Mathematical assessment of the role of vaccination against COVID-19 in the United States
13. Ascertainment and biased testing rates in surveillance of emerging infectious diseases
14. Dynamical study of SARS-CoV-2 mathematical models under antiviral treatments
15. Statistical modeling to understand the COVID-19 pandemic
16. After COVID-19: Mathematical models, epidemic preparedness, and external factors in epidemic management
2. Global epidemiology and impact of the SARS-CoV-2 pandemic
3. Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling
4. On spatial heterogeneity of COVID-19 using shape analysis of pandemic curves
5. Pandemic response: Isolationism or solidarity?
6. Optimizing contact tracing: Leveraging contact network structure
7. Applications of deep learning in forecasting COVID-19 pandemic and county-level risk warning
8. COVID-19 population dynamics neural control from a complex network perspective
9. An agent-based model for COVID-19 and its interventions and impact in different social phenomena
10. Implementation of mitigation measures and modeling of in-hospital dynamics depending on the COVID-19 infection status
11. A mathematical model for the reopening of schools in Mexico
12. Mathematical assessment of the role of vaccination against COVID-19 in the United States
13. Ascertainment and biased testing rates in surveillance of emerging infectious diseases
14. Dynamical study of SARS-CoV-2 mathematical models under antiviral treatments
15. Statistical modeling to understand the COVID-19 pandemic
16. After COVID-19: Mathematical models, epidemic preparedness, and external factors in epidemic management
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence; Mathematical Modeling; Epidemiology; Pandemics; Forecasting; Spillovers; Evolution; Vaccination; Public Health Policies; COVID-19; SARS-CoV-2
1. Modeling during an unprecedented pandemic
2. Global epidemiology and impact of the SARS-CoV-2 pandemic
3. Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling
4. On spatial heterogeneity of COVID-19 using shape analysis of pandemic curves
5. Pandemic response: Isolationism or solidarity?
6. Optimizing contact tracing: Leveraging contact network structure
7. Applications of deep learning in forecasting COVID-19 pandemic and county-level risk warning
8. COVID-19 population dynamics neural control from a complex network perspective
9. An agent-based model for COVID-19 and its interventions and impact in different social phenomena
10. Implementation of mitigation measures and modeling of in-hospital dynamics depending on the COVID-19 infection status
11. A mathematical model for the reopening of schools in Mexico
12. Mathematical assessment of the role of vaccination against COVID-19 in the United States
13. Ascertainment and biased testing rates in surveillance of emerging infectious diseases
14. Dynamical study of SARS-CoV-2 mathematical models under antiviral treatments
15. Statistical modeling to understand the COVID-19 pandemic
16. After COVID-19: Mathematical models, epidemic preparedness, and external factors in epidemic management
2. Global epidemiology and impact of the SARS-CoV-2 pandemic
3. Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling
4. On spatial heterogeneity of COVID-19 using shape analysis of pandemic curves
5. Pandemic response: Isolationism or solidarity?
6. Optimizing contact tracing: Leveraging contact network structure
7. Applications of deep learning in forecasting COVID-19 pandemic and county-level risk warning
8. COVID-19 population dynamics neural control from a complex network perspective
9. An agent-based model for COVID-19 and its interventions and impact in different social phenomena
10. Implementation of mitigation measures and modeling of in-hospital dynamics depending on the COVID-19 infection status
11. A mathematical model for the reopening of schools in Mexico
12. Mathematical assessment of the role of vaccination against COVID-19 in the United States
13. Ascertainment and biased testing rates in surveillance of emerging infectious diseases
14. Dynamical study of SARS-CoV-2 mathematical models under antiviral treatments
15. Statistical modeling to understand the COVID-19 pandemic
16. After COVID-19: Mathematical models, epidemic preparedness, and external factors in epidemic management
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
