Alejandro Chavez
Biographic Data
| ID | 6063512 |
|---|---|
| NAME | Alejandro Chavez |
| GIVEN NAMES | Alejandro |
| FAMILY NAME | Chavez |
| SIGNATURE | CHÁVEZ A |
| AFFILIATIONS | University of California, San Francisco |
| ORCID | 0000-0001-5626-7140 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Feasibility study of a novel mHealth clinical decision support application to enable community health workers to manage hypertension in rural Guatemala
Background: Hypertension is a leading global cause of morbidity and mortality, especially in low- and middle-income countries, where low healthcare access limits diagnosis and treatment. Community health workers (CHWs) supported by mobile health (mHealth) clinical decision support (CDS) tools may help. This study evaluated the feasibility of CHW-led hypertension management using an mHealth CDS application in rural Guatemala. Methods: We conducted…
Rapid and sustained contact tracing training for Covid-19 in San Francisco: A training model for developing an emergency public health workforce
The City and County of San Francisco was the first municipality in the United States to institute a COVID-19 contact tracing program. The San Francisco Department of Public Health (SFDPH) and the University of California, San Francisco (UCSF) created an outcome-based fully remote contact tracing curriculum using participatory learning methods to train non-public health emergency workers as contact tracers. Between April and December 2020, we trai…
Prioritizing Covid-19 Contact Tracing During a Surge Using Chatbot Technology
When COVID-19 cases surge, identifying ways to improve the efficiency of contact tracing and prioritize vulnerable communities for isolation and quarantine support services is critical. During a fall 2020 COVID-19 resurgence in San Francisco, California, prioritization of telephone-based case investigation by zip code and using a chatbot to screen for case participants who needed isolation support reduced the number of case participants who would…
No prominent works on this page.
Prioritizing Covid-19 Contact Tracing During a Surge Using Chatbot Technology
When COVID-19 cases surge, identifying ways to improve the efficiency of contact tracing and prioritize vulnerable communities for isolation and quarantine support services is critical. During a fall 2020 COVID-19 resurgence in San Francisco, California, prioritization of telephone-based case investigation by zip code and using a chatbot to screen for case participants who needed isolation support reduced the number of case participants who would…
Rapid and sustained contact tracing training for Covid-19 in San Francisco: A training model for developing an emergency public health workforce
The City and County of San Francisco was the first municipality in the United States to institute a COVID-19 contact tracing program. The San Francisco Department of Public Health (SFDPH) and the University of California, San Francisco (UCSF) created an outcome-based fully remote contact tracing curriculum using participatory learning methods to train non-public health emergency workers as contact tracers. Between April and December 2020, we trai…
Feasibility study of a novel mHealth clinical decision support application to enable community health workers to manage hypertension in rural Guatemala
Background: Hypertension is a leading global cause of morbidity and mortality, especially in low- and middle-income countries, where low healthcare access limits diagnosis and treatment. Community health workers (CHWs) supported by mobile health (mHealth) clinical decision support (CDS) tools may help. This study evaluated the feasibility of CHW-led hypertension management using an mHealth CDS application in rural Guatemala. Methods: We conducted…
Contact tracing (2 works) · COVID-19 Digital Contact Tracing (2 works) · COVID-19 epidemiological studies (2 works) · Medicine (2 works) · Mobile Health and mHealth Applications (2 works) · Nursing (2 works) · Public health (2 works) · 2019-20 coronavirus outbreak (1 works) · Adverse effect (1 works) · Blood pressure (1 works)