Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...
HER2CLIMB-05: A Phase III Study of Tucatinib Versus Placebo in Combination With Trastuzumab and Pertuzumab as First-Line Maintenance Therapy for HER2+ Metastatic Breast Cancer Chronic myelomonocytic ...
Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.
aInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada bCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, ...
eDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA fDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA ...
Understanding the real‐world impact of clinical trials that change risk factors is important for health policy. We developed a microsimulation that estimates the population‐level benefits in each US ...
There is much focus in the field of HIV prevention research on understanding the impact of social determinants of health (e.g., housing, employment, incarceration) on HIV transmission and developing ...
Correspondence to Dr Andreas Höhn, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB, UK; andreas.hoehn{at}glasgow.ac.uk Background Many complex public health ...
Machine learning (ML)-based emulators improve the calibration of decision-analytical models, but their performance in complex microsimulation models is yet to be determined. We demonstrated the use of ...
Dr. Guanhao Xu is currently an Advanced Mobility R&D Staff in the Applied Research for Mobility Systems group. His research mainly focuses on urban mobility, traffic operations, network simulation, ...
Abstract: Agent-based microsimulation has become the standard to analyze intelligent transportation systems, using disaggregate travel demand data for entire populations, data that are not typically ...
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