Using Smartphone Crowdsourcing to Redefine Normal and Febrile Temperatures in Adults: Results from the Feverprints Study
J Gen Intern Med
.
2018 Dec;33(12):2046-2047.
doi: 10.1007/s11606-018-4610-8.
Authors
Jonathan S Hausmann
1
2
,
Ron Berna
3
4
,
Nitin Gujral
4
,
Soleh Ayubi
4
5
,
Jared Hawkins
4
,
John S Brownstein
4
,
Fatma Dedeoglu
6
Affiliations
1
Department of Rheumatology, Boston Children's Hospital, Boston, MA, USA. jonathan.hausmann@childrens.harvard.edu.
2
Division of Rheumatology, Beth Israel Deaconess Medical Center, Boston, MA, USA. jonathan.hausmann@childrens.harvard.edu.
3
Villanova University, Villanova, PA, USA.
4
Innovation & Digital Health Accelerator, Boston Children's Hospital, Boston, MA, USA.
5
UnitedHealth Group, Boston, MA, USA.
6
Department of Rheumatology, Boston Children's Hospital, Boston, MA, USA.
PMID:
30105481
PMCID:
PMC6258625
DOI:
10.1007/s11606-018-4610-8
No abstract available
Publication types
Letter
MeSH terms
Adolescent
Adult
Body Temperature / physiology*
Crowdsourcing / methods*
Female
Fever / diagnosis*
Fever / epidemiology
Humans
Male
Middle Aged
Mobile Applications*
Smartphone*
Thermometers*
Young Adult