Haomiao Jin

Lecturer B (Assistant Professor) in Health Data Sciences

University of Surrey

United Kingdom

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Haomiao Jin is a Lecturer B (Assistant Professor) in Health Data Sciences at the University of Surrey. Based in the United Kingdom, their research interests encompass employment insecurity and mental health, cognitive impairment assessment, and the intersection of immigration and diabetes prevalence. Recent articles include analyses of cognitive functioning in aging populations and the development of digital biomarkers in health studies.

Articles (21)

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2025

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2021

Collaborators (13)

Junhan Cho

Assistant Professor of Research

UNITED STATES

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Ranjit Manchanda

Professor of Gynaecological Oncology

UNITED KINGDOM

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Margaret Gatz

Professor of Psychology

University of Southern California

UNITED STATES

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Titus Galama

Professor

Vrije Universiteit Amsterdam

NETHERLANDS

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Stefan Schneider

University of Southern California

UNITED STATES

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Shawn Roll

Associate Professor

University of Southern California

UNITED STATES

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rosa legood

Associate Professor

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Zia Sadique

Associate Professor

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Danny Maupin

Bond University

AUSTRALIA

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Jungeun Olivia Lee

University of Southern California

UNITED STATES

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Elizabeth Pyatak

Associate Professor

University of Southern California

UNITED STATES

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Jenny Harris

Senior Lecturer in Cancer Care and Health Statistics

University of Surrey

UNITED KINGDOM

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Hongxin Gao

University of Surrey

UNITED KINGDOM

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Haomiao Jin

Research Interests

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Articles (21)

Evidence supports the validity and reliability of response times from a brief survey as a digital biomarker for processing speed in a large panel study

Within-person relationship between employment insecurity and mental health: a longitudinal analysis of the Understanding America Study

Dementia ascertainment in India and development of nation‐specific cutoffs: A machine learning and diagnostic analysis

Early identification of cognitive impairment in older adults from Advanced Activities of Daily Living (AADL): A scoping review

Immigration, acculturation, and diabetes: A comparative study of diabetes prevalence among Asian Indian immigrants living in the United States and native-born populations in India and the United States

Utility Scores for Risk-Reducing Mastectomy and Risk-Reducing Salpingo-Oophorectomy: Mapping to EQ-5D

Can you tell people’s cognitive ability level from their response patterns in questionnaires?

Attrition from longitudinal ageing studies and performance across domains of cognitive functioning: an individual participant data meta-analysis

Cognitive Functioning and the Quality of Survey Responses: An Individual Participant Data Meta-Analysis of 10 Epidemiological Studies of Aging

Regular Cannabis Use During the First Year of the Pandemic: Studying Trajectories Rather Than Prevalence

Reliability and Validity of Noncognitive Ecological Momentary Assessment Survey Response Times as an Indicator of Cognitive Processing Speed in People’s Natural Environment: Intensive Longitudinal Study

Developing Early Markers of Cognitive Decline and Dementia Derived From Survey Response Behaviors: Protocol for Analyses of Preexisting Large-scale Longitudinal Data

Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Validation (Preprint)

Inferring Cognitive Abilities from Response Times to Web-Administered Survey Items in a Population-Representative Sample

Relationship Between Past Survey Burden and Response Probability to a New Survey in a Probability-Based Online Panel

Validation of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) adapted for the whole day repeated measures context

Alcohol use trajectories among U.S. adults during the first 42 weeks of the COVID‐19 pandemic

Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research

Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk

Perception of whole day workload as a mediator between activity engagement and stress in workers with type 1 diabetes

Estimating influences of unemployment and underemployment on mental health during the COVID-19 pandemic: who suffers the most?

Collaborators (13)

Junhan Cho

Ranjit Manchanda

Margaret Gatz

Titus Galama

Stefan Schneider

Shawn Roll

rosa legood

Zia Sadique

Danny Maupin

Jungeun Olivia Lee

Elizabeth Pyatak

Jenny Harris

Hongxin Gao

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