What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Health care
- Statistics
His primary scientific interests are in Health care, The Internet, Internet privacy, World Wide Web and Data science.
His Health care research is multidisciplinary, incorporating elements of Confidentiality and Outbreak.
His studies in The Internet integrate themes in fields like Global health and Information technology.
His Web standards study, which is part of a larger body of work in World Wide Web, is frequently linked to Interface and Application programming interface, bridging the gap between disciplines.
His Data science research is multidisciplinary, incorporating perspectives in Public health surveillance, Data collection and Environmental health.
His Public health surveillance study incorporates themes from Text processing, ProMED-mail, Software architecture, Web application and Information overload.
His most cited work include:
- HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. (337 citations)
- HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. (337 citations)
- HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. (337 citations)
What are the main themes of his work throughout his whole career to date?
Kenneth D. Mandl spends much of his time researching Health care, Pediatrics, Data science, Public health and World Wide Web.
His Health care study integrates concerns from other disciplines, such as Medical record, Family medicine, Interoperability and Internet privacy.
Kenneth D. Mandl has researched Pediatrics in several fields, including Emergency department, Retrospective cohort study, Confidence interval, Disease and Medical prescription.
His Emergency department research is multidisciplinary, relying on both Prospective cohort study and Medical emergency.
His Retrospective cohort study research includes elements of Incidence, Cohort study and Cohort.
His work on The Internet as part of general World Wide Web research is frequently linked to Application programming interface, bridging the gap between disciplines.
He most often published in these fields:
- Health care (22.38%)
- Pediatrics (23.22%)
- Data science (16.95%)
What were the highlights of his more recent work (between 2018-2021)?
- Health care (22.38%)
- Coronavirus disease 2019 (5.02%)
- Interoperability (11.92%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Health care, Coronavirus disease 2019, Interoperability, Data science and Health informatics.
His Health care study combines topics in areas such as Precision medicine, Pharmacoepidemiology, Hearing loss and Public health.
His work in Public health addresses issues such as Mental health, which are connected to fields such as Medical record.
His study in Interoperability is interdisciplinary in nature, drawing from both Information technology, Health information technology and Internet privacy.
His Data science research includes themes of Biobank, Institutional review board, Genomics, Data quality and Informatics.
Kenneth D. Mandl works mostly in the field of Pandemic, limiting it down to topics relating to Environmental health and, in certain cases, News media.
Between 2018 and 2021, his most popular works were:
- The role of absolute humidity on transmission rates of the COVID-19 outbreak (133 citations)
- The role of absolute humidity on transmission rates of the COVID-19 outbreak (133 citations)
- Early Transmissibility Assessment of a Novel Coronavirus in Wuhan, China (101 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Health care
Kenneth D. Mandl mainly investigates Transmission, Coronavirus disease 2019, Outbreak, Artificial intelligence and Data science.
His studies deal with areas such as Machine learning, Usability and MEDLINE as well as Artificial intelligence.
His MEDLINE research focuses on Workflow and how it connects with Health care.
His Health care research includes themes of Family medicine, Mental health, Suicide attempt and Public health.
He has included themes like Observational study, General partnership, Informatics and Interoperability in his Data science study.
His Viral transmission research incorporates themes from Public health interventions, Epidemiology and Veterinary medicine.
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