S Andrew Gadsden
Biographic Data
| ID | 10011206 |
|---|---|
| NAME | S Andrew Gadsden |
| GIVEN NAMES | S Andrew |
| FAMILY NAME | Gadsden |
| SIGNATURE | GADSDEN S A |
| AFFILIATIONS | University of Guelph |
| ORCID | 0000-0003-3749-0878 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Influence of Opening Up Daycare and Day Camps on Resurgence Potential of Covid-19 Pandemic
Concerns regarding the impact of opening daycares and day camps are examined to explore the sensitivity on outbreaks of COVID-19. Overall, while controlling the spread of COVID-19 must be a major concern for all people, society needs to consider various options, including those of alternative reopening strategies to reflect both the impact on children when reopening of daycares/day camps but also the potential impact on viral growth transmittance…
Identification of Variable Importance for Predictions of Mortality From Covid-19 Using AI Models for Ontario, Canada
The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical systems to the brink of collapse around the globe. In this paper, logistic regression and three other artificial intelligence models (XGBoost, Artificial Neural Network and Random Forest) are described and used to predict mortality risk of individual patients. The database is based on census data for the designated area and co-morbidities obtained using data from …
No prominent works on this page.
Influence of Opening Up Daycare and Day Camps on Resurgence Potential of Covid-19 Pandemic
Concerns regarding the impact of opening daycares and day camps are examined to explore the sensitivity on outbreaks of COVID-19. Overall, while controlling the spread of COVID-19 must be a major concern for all people, society needs to consider various options, including those of alternative reopening strategies to reflect both the impact on children when reopening of daycares/day camps but also the potential impact on viral growth transmittance…
Identification of Variable Importance for Predictions of Mortality From Covid-19 Using AI Models for Ontario, Canada
The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical systems to the brink of collapse around the globe. In this paper, logistic regression and three other artificial intelligence models (XGBoost, Artificial Neural Network and Random Forest) are described and used to predict mortality risk of individual patients. The database is based on census data for the designated area and co-morbidities obtained using data from …
Demography (2 works) · Geography (2 works) · Medicine (2 works) · Pandemic (2 works) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Biology (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 Clinical Research Studies (1 work)