Amelia Jamison
Biographic Data
| ID | 6072823 |
|---|---|
| NAME | Amelia Jamison |
| GIVEN NAMES | Amelia |
| FAMILY NAME | Jamison |
| SIGNATURE | JAMISON A |
| AFFILIATIONS | Amelia M. Jamison, Kajal S. Parikh, and Adeena Malik are with the Maryland Center for Health Equity, School of Public Health, University of Maryland, College Park. David A. Broniatowski and Michael C. Smith are with the Department of Engineering Management and Systems Engineering, School of Engineering and Applied Science, and Institute for Data, Democracy, and Politics, The George Washington University, Washington, DC. Mark Dredze is with the Department of Computer Science, Whiting School of Engineering... |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Using WhatsApp for vaccine promotion in low- and middle-income countries: Practitioner-informed perspectives
BOX The combination of WhatsApp’s widespread use in low- and middle-income countries and array of low-cost messaging and data features suggests that the platform has great potential for health communication applications, including for vaccine promotion
More work for Ashas? Exploring the role of whatsapp messaging and community health work in urban slum areas of Varanasi, India
India’s community health workers (CHWs) have taken on an onerous set of responsibilities for the welfare of their clients across a variety of health domains, including providing modern contraception for family planning, promoting childhood vaccinations, and enhancing pregnant women’s nutritional outcomes. Governments have also added technology to this mix under the assumption that new digital tools can relieve the work burdens. Through interviews…
Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter
Objectives. To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on Twitter. Methods. Using 1.8 million vaccine-relevant tweets compiled from 2014 to 2017, we adapted an existing typology to Twitter data, first in a manual content analysis and then using latent Dirichlet allocation (LDA) topic modeling to extract 100 topics from the data set. Results. Manu…
Intersectional stigma among midlife and older Black women living with HIV
HIV-related stigma is a barrier to the prevention and treatment of HIV. For midlife and older Black women, the nature and intensity of HIV-related stigma may be compounded by their multiple marginalised social status based on gender, race, and age. We examined the perceptions and experiences of HIV-related stigma among midlife and older Black women living in Prince George's County, Maryland, USA. Between 2014 and 2015, we conducted semi-structure…
Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter
Objectives. To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on Twitter. Methods. Using 1.8 million vaccine-relevant tweets compiled from 2014 to 2017, we adapted an existing typology to Twitter data, first in a manual content analysis and then using latent Dirichlet allocation (LDA) topic modeling to extract 100 topics from the data set. Results. Manu…
Intersectional stigma among midlife and older Black women living with HIV
HIV-related stigma is a barrier to the prevention and treatment of HIV. For midlife and older Black women, the nature and intensity of HIV-related stigma may be compounded by their multiple marginalised social status based on gender, race, and age. We examined the perceptions and experiences of HIV-related stigma among midlife and older Black women living in Prince George's County, Maryland, USA. Between 2014 and 2015, we conducted semi-structure…
Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter
Objectives. To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on Twitter. Methods. Using 1.8 million vaccine-relevant tweets compiled from 2014 to 2017, we adapted an existing typology to Twitter data, first in a manual content analysis and then using latent Dirichlet allocation (LDA) topic modeling to extract 100 topics from the data set. Results. Manu…
Using WhatsApp for vaccine promotion in low- and middle-income countries: Practitioner-informed perspectives
BOX The combination of WhatsApp’s widespread use in low- and middle-income countries and array of low-cost messaging and data features suggests that the platform has great potential for health communication applications, including for vaccine promotion
More work for Ashas? Exploring the role of whatsapp messaging and community health work in urban slum areas of Varanasi, India
India’s community health workers (CHWs) have taken on an onerous set of responsibilities for the welfare of their clients across a variety of health domains, including providing modern contraception for family planning, promoting childhood vaccinations, and enhancing pregnant women’s nutritional outcomes. Governments have also added technology to this mix under the assumption that new digital tools can relieve the work burdens. Through interviews…
Vaccine Coverage and Hesitancy (3 works) · Misinformation and Its Impacts (2 works) · Psychology (2 works) · Sociology (2 works) · Annotation (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Black male (1 works) · Black women (1 works) · Clinical Psychology (1 works)