Lisa Carver
Biographic Data
| ID | 6470082 |
|---|---|
| NAME | Lisa Carver |
| GIVEN NAMES | Lisa |
| FAMILY NAME | Carver |
| SIGNATURE | CARVER L |
| AFFILIATIONS | Queen's University |
| ORCID | 0000-0002-7695-7939 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Greatest Risk Factor for Death from Covid-19
During the first wave of COVID-19, three-quarters of Canadian deaths were among those age 80 and older. We examined whether age, chronic disease load, sex, or place was the strongest predictor of such deaths. A cross-sectional analysis of administrative data from 1 January 2020 to 30 October 2020 for the population of Ontario (n = 15,023,174) was performed. Using logistic regression analysis, we determined whether place of residence (community dw…
Health Applications of Gerontechnology, Privacy, and Surveillance
In this era of technological advances designed to assist older adults to age in place and monitor health challenges, the emphasis has been on the surveillance of older adults for their safety and the peace of mind of caregivers. This article focuses on two emerging gerontechnologies: wearables and smart home or ambient assistive living (AAL) devices. In order to explore the intersections of the ageing enterprise and surveillance capitalism, this …
No prominent works on this page.
Health Applications of Gerontechnology, Privacy, and Surveillance
In this era of technological advances designed to assist older adults to age in place and monitor health challenges, the emphasis has been on the surveillance of older adults for their safety and the peace of mind of caregivers. This article focuses on two emerging gerontechnologies: wearables and smart home or ambient assistive living (AAL) devices. In order to explore the intersections of the ageing enterprise and surveillance capitalism, this …
Greatest Risk Factor for Death from Covid-19
During the first wave of COVID-19, three-quarters of Canadian deaths were among those age 80 and older. We examined whether age, chronic disease load, sex, or place was the strongest predictor of such deaths. A cross-sectional analysis of administrative data from 1 January 2020 to 30 October 2020 for the population of Ontario (n = 15,023,174) was performed. Using logistic regression analysis, we determined whether place of residence (community dw…
Gerontology (2 works) · Medicine (2 works) · Autonomy (1 work) · Business (1 work) · Commodification (1 work) · Computer Science (1 work) · COVID-19 and healthcare impacts (1 work) · Demography (1 work) · Demography (1 work) · Dignity (1 work)