Christina M Ramirez
Datos Biográficos
| ID | 5986396 |
|---|---|
| NOMBRE | Christina M Ramirez |
| NOMBRES | Christina M |
| APELLIDO | Ramirez |
| FIRMA | RAMIREZ C M |
| AFILIACIONES | University of California, Los Angeles |
| ORCID | 0000-0002-8435-0416 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAS | 39 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2002 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 3 |
The politics of vaccine hesitancy in the United States
Objective Why are Americans COVID‐19 vaccine hesitant? We test social science hypotheses for vaccine hesitancy, focusing on partisanship, trust in institutions, and social‐demographic characteristics of registered voters. Methods We use survey data from a representative sample of American registered voters collected in November 2020 to study vaccine hesitancy, and the reasons for vaccine hesitancy, at a point in time before the vaccine was availa…
An evidence review of face masks against Covid-19
The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via …
Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to Covid-19 in the United States
The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic As…
Latent profile analysis of dietary intake in a community-dwelling sample of older Americans
Objective: To estimate latent dietary profiles in a community-dwelling sample of older Americans and identify associations between dietary profile membership and individual demographic, socio-economic and health characteristics. Design: Secondary analysis of the 2012 Health and Retirement Study (HRS) and linked 2013 Health Care and Nutrition Study (HCNS). Latent profile analysis identified mutually exclusive subgroups of dietary intake and bivari…
Who Voted in 2016? Using Fuzzy Forests to Understand Voter Turnout
Objective What can machine learning tell us about who voted in 2016? There are numerous competing voter turnout theories, and a large number of covariates are required to assess which theory best explains turnout. This article is a proof of concept that machine learning can help overcome this curse of dimensionality and reveal important insights in studies of political phenomena. Methods We use fuzzy forests, an extension of random forests, to sc…
Does a History of Trauma Contribute to HIV Risk for Women of Color? Implications for Prevention and Policy
Objectives. We investigated history of abuse and other HIV-related risk factors in a community sample of 490 HIV-positive and HIV-negative African American, European American, and Latina women. Methods. Baseline interviews were analyzed, and logistic regressions were used to identify predictors of risk for positive HIV serostatus overall and by racial/ethnic group. Results. Race/ethnicity was not an independent predictor of HIV-related risk, and …
Does a History of Trauma Contribute to HIV Risk for Women of Color? Implications for Prevention and Policy
Objectives. We investigated history of abuse and other HIV-related risk factors in a community sample of 490 HIV-positive and HIV-negative African American, European American, and Latina women. Methods. Baseline interviews were analyzed, and logistic regressions were used to identify predictors of risk for positive HIV serostatus overall and by racial/ethnic group. Results. Race/ethnicity was not an independent predictor of HIV-related risk, and …
The politics of vaccine hesitancy in the United States
Objective Why are Americans COVID‐19 vaccine hesitant? We test social science hypotheses for vaccine hesitancy, focusing on partisanship, trust in institutions, and social‐demographic characteristics of registered voters. Methods We use survey data from a representative sample of American registered voters collected in November 2020 to study vaccine hesitancy, and the reasons for vaccine hesitancy, at a point in time before the vaccine was availa…
Who Voted in 2016? Using Fuzzy Forests to Understand Voter Turnout
Objective What can machine learning tell us about who voted in 2016? There are numerous competing voter turnout theories, and a large number of covariates are required to assess which theory best explains turnout. This article is a proof of concept that machine learning can help overcome this curse of dimensionality and reveal important insights in studies of political phenomena. Methods We use fuzzy forests, an extension of random forests, to sc…
Does a History of Trauma Contribute to HIV Risk for Women of Color? Implications for Prevention and Policy
Objectives. We investigated history of abuse and other HIV-related risk factors in a community sample of 490 HIV-positive and HIV-negative African American, European American, and Latina women. Methods. Baseline interviews were analyzed, and logistic regressions were used to identify predictors of risk for positive HIV serostatus overall and by racial/ethnic group. Results. Race/ethnicity was not an independent predictor of HIV-related risk, and …
Latent profile analysis of dietary intake in a community-dwelling sample of older Americans
Objective: To estimate latent dietary profiles in a community-dwelling sample of older Americans and identify associations between dietary profile membership and individual demographic, socio-economic and health characteristics. Design: Secondary analysis of the 2012 Health and Retirement Study (HRS) and linked 2013 Health Care and Nutrition Study (HCNS). Latent profile analysis identified mutually exclusive subgroups of dietary intake and bivari…
Who Voted in 2016? Using Fuzzy Forests to Understand Voter Turnout
Objective What can machine learning tell us about who voted in 2016? There are numerous competing voter turnout theories, and a large number of covariates are required to assess which theory best explains turnout. This article is a proof of concept that machine learning can help overcome this curse of dimensionality and reveal important insights in studies of political phenomena. Methods We use fuzzy forests, an extension of random forests, to sc…
An evidence review of face masks against Covid-19
The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via …
Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to Covid-19 in the United States
The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic As…
The politics of vaccine hesitancy in the United States
Objective Why are Americans COVID‐19 vaccine hesitant? We test social science hypotheses for vaccine hesitancy, focusing on partisanship, trust in institutions, and social‐demographic characteristics of registered voters. Methods We use survey data from a representative sample of American registered voters collected in November 2020 to study vaccine hesitancy, and the reasons for vaccine hesitancy, at a point in time before the vaccine was availa…
Medicine (5 obras) · Demography (4 obras) · Gerontology (3 obras) · Biology (2 obras) · Computer Science (2 obras) · Coronavirus disease 2019 (COVID-19) (2 obras) · COVID-19 and healthcare impacts (2 obras) · Demography (2 obras) · Ethnic group (2 obras) · Logistic regression (2 obras)