Josh Schilling

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 12

Top Topics

Coronavirus Disease

Health Insurance

Genetic Diversity

Top Venues

Quality management in health care

JMIR formative research

Communications medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Josh Schilling, Dave Klein, Marilyn M Bartholmae, Sepideh Shokouhi, Angela J Toepp, Amira A Roess, Joshua M Sill, Matvey V Karpov, Kathleen Maney, K Pearson Brown, Brian L Levy, Keith D Renshaw, Sunita Dodani, Praduman Jain
A Digital Health Initiative (COVIDsmart) for Remote Data Collection and Study of COVID-19's Impact on the State of Virginia: Prospective Cohort Study. JMIR formative research 7 (2023)
Josh Schilling, Sepideh Shokouhi, Aisha H Montgomery, Girish Nitin Nadkarni, Alexander W Charney, Anil Shanker, Rajbir Singh, Kenar D Jhaveri, Karandeep S Singh, Prashant Khadke, Praduman Jain
Development of a decentralized cohort for studying post-acute sequelae of COVID-19 in India in the Data4life Study. Communications medicine 3 (1) (2023)
Josh Schilling, Dave Klein, Marilyn M Bartholmae, Sepideh Shokouhi, Angela J Toepp, Amira A Roess, Joshua M Sill, Matvey V Karpov, Kathleen Maney, K Pearson Brown, Brian L Levy, Keith D Renshaw, Sunita Dodani, Praduman Jain
A Digital Health Initiative (COVIDsmart) for Remote Data Collection and Study of COVID-19's Impact on the State of Virginia: Prospective Cohort Study. JMIR formative research 7 (2023)
Josh Schilling, Dave Klein, Marilyn M Bartholmae, Sepideh Shokouhi, Angela J Toepp, Amira A Roess, Joshua M Sill, Matvey V Karpov, Kathleen Maney, K Pearson Brown, Brian L Levy, Keith D Renshaw, Sunita Dodani, Praduman Jain
A Digital Health Initiative (COVIDsmart) for Remote Data Collection and Study of COVID-19's Impact on the State of Virginia: Prospective Cohort Study. JMIR formative research 7 (2023)
Farrokh Alemi, Jee Vang, Wejdan Hassan Bagais, Elina Guralnik, Janusz Wojtusiak, F Gerard Moeller, Josh Schilling, Rachele Peterson, Amira A Roess, Praduman Jain
Combined Symptom Screening and At-Home Tests for COVID-19. Quality management in health care 32 (Suppl 1) (2022)
Farrokh Alemi, Jee Vang, Wejdan Hassan Bagais, Elina Guralnik, Janusz Wojtusiak, F Gerard Moeller, Josh Schilling, Rachele Peterson, Amira A Roess, Praduman Jain
Combined Symptom Screening and At-Home Tests for COVID-19. Quality management in health care 32 (Suppl 1) (2022)
Josh Schilling, F Gerard Moeller, Rachele Peterson, Brandon Beltz, Deepti Joshi, Danielle Gartner, Jee Vang, Praduman Jain
Testing the Acceptability and Usability of an AI-Enabled COVID-19 Diagnostic Tool Among Diverse Adult Populations in the United States. Quality management in health care 32 (Suppl 1) (2022)
Josh Schilling, F Gerard Moeller, Rachele Peterson, Brandon Beltz, Deepti Joshi, Danielle Gartner, Jee Vang, Praduman Jain
Testing the Acceptability and Usability of an AI-Enabled COVID-19 Diagnostic Tool Among Diverse Adult Populations in the United States. Quality management in health care 32 (Suppl 1) (2022)
Farrokh Alemi, Jee Vang, Wejdan Hassan Bagais, Elina Guralnik, Janusz Wojtusiak, F Gerard Moeller, Josh Schilling, Rachele Peterson, Amira A Roess, Praduman Jain
Combined Symptom Screening and At-Home Tests for COVID-19. Quality management in health care 32 (Suppl 1) (2022)
Josh Schilling, F Gerard Moeller, Rachele Peterson, Brandon Beltz, Deepti Joshi, Danielle Gartner, Jee Vang, Praduman Jain
Testing the Acceptability and Usability of an AI-Enabled COVID-19 Diagnostic Tool Among Diverse Adult Populations in the United States. Quality management in health care 32 (Suppl 1) (2022)
Farrokh Alemi, Jee Vang, Wejdan Hassan Bagais, Elina Guralnik, Janusz Wojtusiak, F Gerard Moeller, Josh Schilling, Rachele Peterson, Amira A Roess, Praduman Jain
Combined Symptom Screening and At-Home Tests for COVID-19. Quality management in health care 32 (Suppl 1) (2022)
Josh Schilling, F Gerard Moeller, Rachele Peterson, Brandon Beltz, Deepti Joshi, Danielle Gartner, Jee Vang, Praduman Jain
Testing the Acceptability and Usability of an AI-Enabled COVID-19 Diagnostic Tool Among Diverse Adult Populations in the United States. Quality management in health care 32 (Suppl 1) (2022)