Unwin, H Juliette T
University of Bristol · Imperial College London
9 papers on CoChatORCID 0000-0002-9120-4003
Most cited papers
- Verified
The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries
Walker, P. G. T., Whittaker, C., Watson, O. J., Baguelin, M., Winskill, P., Hamlet, A., Djafaara, B. A., Cucunubá, Z., Olivera Mesa, D., Green, W., et al. (2020) · Science
COVID-19 epidemiological studiesCOVID-19 Prevention and Impact
Cited by 993
- Verified
Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study
Hillis, S. D., Unwin, H. J. T., Chen, Y., Cluver, L., Sherr, L., Goldman, P. S., Ratmann, O., Donnelly, C. A., Bhatt, S., Villaveces, A., et al. (2021) · The Lancet
Poverty, Education, and Child WelfareCOVID-19 epidemiological studies
Cited by 317
- Verified
COVID-19–Associated Orphanhood and Caregiver Death in the United States
Hillis, S. D., Blenkinsop, A., Villaveces, A., Annor, F. B., Liburd, L., Massetti, G. M., Demissie, Z., Mercy, J. A., Nelson III, C. A., Cluver, L., et al. (2021) · Pediatrics
Grief, Bereavement, and Mental HealthCOVID-19 epidemiological studies
Cited by 235
- Verified
Response to COVID-19 in South Korea and implications for lifting stringent interventions
Dighe, A., Cattarino, L., Cuomo-Dannenburg, G., Skarp, J., Imai, N., Bhatia, S., Gaythorpe, K. A. M., Ainslie, K. E. C., Baguelin, M., Bhatt, S., et al. (2020) · BMC Medicine
COVID-19 epidemiological studiesCOVID-19 Digital Contact Tracing
Cited by 188
- Verified
Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment
Ainslie, K. E. C., Walters, C. E., Fu, H., Bhatia, S., Wang, H., Xi, X., Baguelin, M., Bhatt, S., Boonyasiri, A., Boyd, O., et al. (2020) · Wellcome Open Research
COVID-19 epidemiological studiesCOVID-19 Prevention and Impact
Cited by 121
- Verified
Marburg virus disease outbreaks, mathematical models, and disease parameters: a systematic review
Cuomo-Dannenburg, G., McCain, K., McCabe, R., Unwin, H. J. T., Doohan, P., Nash, R. K., Hicks, J. T., Charniga, K., Geismar, C., Lambert, B., et al. (2024) · The Lancet Infectious Diseases
Viral Infections and Outbreaks ResearchViral Infections and Vectors
Cited by 65
- Verified
Ebola virus disease mathematical models and epidemiological parameters: a systematic review
Nash, R. K., Bhatia, S., Morgenstern, C., Doohan, P., Jorgensen, D., McCain, K., McCabe, R., Nikitin, D., Forna, A., Cuomo-Dannenburg, G., et al. (2024) · The Lancet Infectious Diseases
Viral Infections and Outbreaks ResearchMathematical and Theoretical Epidemiology and Ecology Models
Cited by 35
- Verified
Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis
Coupland, H., Scheidwasser, N., Katsiferis, A., Davies, M., Flaxman, S., Hulvej Rod, N., Mishra, S., Bhatt, S., & Unwin, H. J. T. (2025) · BMC Public Health
Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)
Cited by 26
- Verified
Severe acute respiratory syndrome (SARS) mathematical models and disease parameters: a systematic review
Morgenstern, C., Rawson, T., Routledge, I., Kont, M., Imai-Eaton, N., Skarp, J., Doohan, P., McCain, K., Johnson, R., Unwin, H. J. T., et al. (2025) · The Lancet Microbe
COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research
Cited by 6
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