NK
Nushrat Khan
Imperial College London, University College London Institute of Health Informatics, University of Illinois Urbana-Champaign, University of Tsukuba
Research areas: Social Sciences · Sociology and Political Science · Research Data Management Practices · Mobile Health and mHealth Applications · Data Analysis and Archiving
0000-0002-4521-0920
Employment
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Imperial College London Research Fellow2024 - Present
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University College London Institute of Health Informatics Research Fellow2022 - 2023
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University College London Great Ormond Street Institute of Child Health Senior Research Fellow - Data Scientist2021 - 2024
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University of Bath Research Data Librarian2018 - 2021
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North Carolina State University NCSU Libraries Fellow/ Faculty Librarian2016 - 2018
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University of Illinois at Urbana-Champaign Graduate Assistant2014 - 2016
Education
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University of Illinois at Urbana-Champaign Master of Science2014 - 2016
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University of Tsukuba Bachelor of Science2012 - 2014
Projects & Funding
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Frameworks and mixed method analysis: How does a digital newborn care intervention address gold standard quality of care metrics University College London2022 - 2023
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Empowering data-driven clinical research and decision making in low-resource settings University College London2022 - 2023
Publications (32)
- Interventions Implemented in Resource-Constrained Settings to Improve Plastic Waste Management and Reduce Plastic Burning: A Systematic Review Save
- Impact and cost-effectiveness of Neotree, a digital data capture and decision support tool designed to improve neonatal survival in Zimbabwe: an interrupted time series analysis and economic evaluation Save
- Cocreation of Integrated Interventions Addressing Noncommunicable Diseases and Environmental Degradation: Protocol for a Participatory Qualitative Study Save
- Adverse health outcomes associated with drinking highly saline water: a systematic review Save
- Digital Health Interventions in Emergency Obstetric and Newborn Care Services in Low- and Middle-Income Countries: Scoping Review Save
- A Design Framework for Microintervention Software Technology in Digital Health: Critical Interpretive Synthesis Save
- Predicting risk of early-onset sepsis in low-resource neonatal units using routine healthcare data: development and evaluation of multivariable statistical and machine learning models Save
- Assessing the Use of Neonatal Sepsis Guidelines and Antibiotic Prescription With Large-Scale Prospective Data From Zimbabwe and Malawi Save
- Correction: Cosma et al. Leishmaniasis in Humans and Animals: A One Health Approach for Surveillance, Prevention and Control in a Changing World. Trop. Med. Infect. Dis. 2024, 9, 258 Save
- Recommendations for improving accessibility of digital health interventions for cardiometabolic disease for ethnically diverse populations Save
- Leishmaniasis in Humans and Animals: A One Health Approach for Surveillance, Prevention and Control in a Changing World Save
- Uptake of Digital Health Interventions for Cardiometabolic Disease in British South Asian Individuals: Think Aloud Study Save
- “If it all goes digital, we’ll have to learn”: facilitators and barriers to uptake of digital health in British South Asians with cardiometabolic disease Save
- Development and Implementation of Digital Diagnostic Algorithms for Neonatal Units in Zimbabwe and Malawi: Development and Usability Study Save
- Development and Pilot Implementation of Neotree, a Digital Quality Improvement Tool Designed to Improve Newborn Care and Survival in 3 Hospitals in Malawi and Zimbabwe: Cost Analysis Study Save
- Predictors of abnormal Thompson score in term neonates in a tertiary hospital in Zimbabwe Save
- Data sharing and reuse practices: disciplinary differences and improvements needed Save
- Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022 Save
- The Use of Digital Health Interventions for Cardiometabolic Diseases Among South Asian and Black Minority Ethnic Groups: Realist Review Save
- Software development process of Neotree - a data capture and decision support system to improve newborn healthcare in low-resource settings Save