A5019147214- COVID-19 epidemiological studies
- COVID-19 Pandemic Impacts
- COVID-19 and Mental Health
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Space Exploration and Technology
- Planetary Science and Exploration
- Rocket and propulsion systems research
Conceptual Mindworks (United States)
2021
Universidade de São Paulo
2020
With COVID-19 surging across the world, understanding effectiveness of intervention strategies on transmission dynamics is primary global health importance. Here, we develop and analyze an epidemiological compartmental model using multi-objective genetic algorithm design optimization to compare scenarios related strategy type, extent social distancing, time window, personal protection levels in São Paulo, Brazil. The results indicate that optimal for Paulo reduce distancing over with a...
In December 2019, China reported a series of atypical pneumonia cases caused by new Coronavirus, called COVID-19. response to the rapid global dissemination virus, on 11th Mars, World Health Organization (WHO) has declared outbreak pandemic. Considering this situation, paper intends analyze and improve current SEIR models better represent behavior COVID-19 accurately predict outcome pandemic in each social, economic, political scenario. We present generalized...
View Video Presentation: https://doi.org/10.2514/6.2021-1187.vid If national governments and certain billionaires have their way, humans will reach Mars sometime in this century set up permanent bases. Eventually they'll need a way to get around. This paper describes the conceptual design analysis of manned airplane configured for exploration, research, cargo transport, photography, linking multiple settlements. Design development is being done by an international team volunteers based on...
Abstract An epidemiological compartmental model was used to simulate social distancing strategies contain the COVID-19 pandemic and prevent a second wave in São Paulo, Brazil. Optimization using genetic algorithm determine optimal solutions. Our results suggest best-case strategy for Paulo is maintain or increase current magnitude of at least 60 more days levels personal protection behaviors by minimum 10% (e.g., wearing facemasks, proper hand hygiene avoid agglomeration). Followed long-term...
Abstract In December 2019, China reported a series of atypical pneumonia cases caused by new Coronavirus, called COVID-19. response to the rapid global dissemination virus, on 11 th Mars, World Health Organization (WHO) has declared outbreak pandemic. light this situation, paper intends analyze and improve current SEIR models better represent behavior COVID-19 accurately predict outcome pandemic in given social, economic political scenario. We present novel generalized...
Abstract An epidemiological compartmental model was used to simulate social distancing strategies contain the COVID-19 pandemic and prevent a second wave in São Paulo, Brazil. Optimization using genetic algorithm determine optimal solutions. Our results suggest best-case strategy for Paulo is maintain or increase current magnitude of at least 60 more days levels personal protection behaviors by minimum 10% (e.g., wearing facemasks, proper hand hygiene avoid agglomeration). Followed long-term...