Eck Doerry
Biographic Data
| ID | 6909866 |
|---|---|
| NAME | Eck Doerry |
| GIVEN NAMES | Eck |
| FAMILY NAME | Doerry |
| SIGNATURE | DOERRY E |
| AFFILIATIONS | Northern Arizona University |
| ORCID | 0000-0002-5511-1854 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
An inaugural forum on epidemiological modeling for public health stakeholders in Arizona
Epidemiological models—which help us understand and forecast the spread of infectious disease—can be valuable tools for public health. However, barriers exist that can make it difficult to employ epidemiological models routinely within the repertoire of public health planning. These barriers include technical challenges associated with constructing the models, challenges in obtaining appropriate data for model parameterization, and problems with …
A sliding window approach to optimize the time-varying parameters of a spatially-explicit and stochastic model of Covid-19
The implementation of non-pharmaceutical public health interventions can have simultaneous impacts on pathogen transmission rates as well as host mobility rates. For instance, with SARS-CoV-2, masking can influence host-to-host transmission, while stay-at-home orders can influence mobility. Importantly, variations in transmission rates and mobility patterns can influence pathogen-induced hospitalization rates. This poses a significant challenge f…
Possibilities and constraints of rapid online ethnography
During the COVID-19 Pandemic, health care provision changed rapidly and funding became available to assess pandemic-related policy change. Research activities, however, were limited to contactless, online delivery. It was clear early on that some elements of online rapid ethnography were feasible and effective, while others would not approach traditional ethnographic depth. We conducted an online Rapid Assessment, Response, and Evaluation (RARE) …
Possibilities and constraints of rapid online ethnography
During the COVID-19 Pandemic, health care provision changed rapidly and funding became available to assess pandemic-related policy change. Research activities, however, were limited to contactless, online delivery. It was clear early on that some elements of online rapid ethnography were feasible and effective, while others would not approach traditional ethnographic depth. We conducted an online Rapid Assessment, Response, and Evaluation (RARE) …
A sliding window approach to optimize the time-varying parameters of a spatially-explicit and stochastic model of Covid-19
The implementation of non-pharmaceutical public health interventions can have simultaneous impacts on pathogen transmission rates as well as host mobility rates. For instance, with SARS-CoV-2, masking can influence host-to-host transmission, while stay-at-home orders can influence mobility. Importantly, variations in transmission rates and mobility patterns can influence pathogen-induced hospitalization rates. This poses a significant challenge f…
Possibilities and constraints of rapid online ethnography
During the COVID-19 Pandemic, health care provision changed rapidly and funding became available to assess pandemic-related policy change. Research activities, however, were limited to contactless, online delivery. It was clear early on that some elements of online rapid ethnography were feasible and effective, while others would not approach traditional ethnographic depth. We conducted an online Rapid Assessment, Response, and Evaluation (RARE) …
An inaugural forum on epidemiological modeling for public health stakeholders in Arizona
Epidemiological models—which help us understand and forecast the spread of infectious disease—can be valuable tools for public health. However, barriers exist that can make it difficult to employ epidemiological models routinely within the repertoire of public health planning. These barriers include technical challenges associated with constructing the models, challenges in obtaining appropriate data for model parameterization, and problems with …
Computer Science (2 works) · COVID-19 epidemiological studies (2 works) · Medicine (2 works) · Nursing (2 works) · Political science (2 works) · Public relations (2 works) · Algorithm (1 work) · Business (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Data mining (1 work)