Peggy J Ebner
Biographic Data
| ID | 9018818 |
|---|---|
| NAME | Peggy J Ebner |
| GIVEN NAMES | Peggy J |
| FAMILY NAME | Ebner |
| SIGNATURE | EBNER P J |
| AFFILIATIONS | University of Southern California |
| ORCID | 0000-0003-2539-6016 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Utilizing mobile health and community informants to collect real-time health care data in extremely low resource environments
BACKGROUND: Mobile health provides promising opportunities to perform population surveillance in rural, impoverished, or unstable communities. The objective of this study was to test the efficacy and accuracy of data collected by community informants in extreme low-resource environments using electronic surveys and mobile phones. METHODS: We carried out a population-based, cross-sectional survey between October and November 2017 measuring access …
Mortality in Puerto Rico after Hurricane Maria
BACKGROUND: Quantifying the effect of natural disasters on society is critical for recovery of public health services and infrastructure. The death toll can be difficult to assess in the aftermath of a major disaster. In September 2017, Hurricane Maria caused massive infrastructural damage to Puerto Rico, but its effect on mortality remains contentious. The official death count is 64. METHODS: Using a representative, stratified sample, we surveye…
No prominent works on this page.
Mortality in Puerto Rico after Hurricane Maria
BACKGROUND: Quantifying the effect of natural disasters on society is critical for recovery of public health services and infrastructure. The death toll can be difficult to assess in the aftermath of a major disaster. In September 2017, Hurricane Maria caused massive infrastructural damage to Puerto Rico, but its effect on mortality remains contentious. The official death count is 64. METHODS: Using a representative, stratified sample, we surveye…
Utilizing mobile health and community informants to collect real-time health care data in extremely low resource environments
BACKGROUND: Mobile health provides promising opportunities to perform population surveillance in rural, impoverished, or unstable communities. The objective of this study was to test the efficacy and accuracy of data collected by community informants in extreme low-resource environments using electronic surveys and mobile phones. METHODS: We carried out a population-based, cross-sectional survey between October and November 2017 measuring access …
Medicine (2 works) · Public health (2 works) · Community health (1 work) · Confidence interval (1 work) · Death toll (1 work) · Demography (1 work) · Disaster Management and Resilience (1 work) · Disaster Response and Management (1 work) · Environmental health (1 work) · Geography (1 work)