Eva Raphael
University of California-San Francisco, CA·Public Health & Epidemiology·Early-career
Urinary tract infections (UTIs) are common in women. More and more of them are caused by bacteria that resist standard antibiotics, even in people who have not been in the hospital.
- Fields
Public Health & Epidemiology
Medicine & Clinical Research
Microbiology & Immunology
- Topics
urinary tract infection
Escherichia coli
E. coli
- Grants
- 1 known grant, through Nov 2026
What they work on
- Identify demographic and neighborhood-level risk factors for community-onset UTIs caused by ESBL-producing E. coli in women, using causal inference methods, compared with other resistant and with antibiotic-susceptible UTIs.
- Identify complications of community-onset ESBL E. coli UTIs and the risk factors associated with them.
- Use spatial analyses to find geographic clusters of predominant E. coli genotypes causing UTIs, and test whether trends in these strains match the timing and location of ESBL UTIs.
More about the research
One example is Escherichia coli (E. coli) that makes extended-spectrum beta-lactamase (ESBL), an enzyme that destroys many common antibiotics. Antibiotic use is a known driver of resistance. However, other risk factors for spreading resistant bacteria are emerging, especially in diverse populations, and resistant UTIs may even occur as community outbreaks. This project looks for risk factors beyond antibiotic use, along with complications and geographic patterns, for ESBL E. coli UTIs that begin in the community.
Why it matters
Antibiotic-resistant UTIs are a growing threat, particularly for women. Finding neighborhood and personal risk factors, and spotting geographic clusters of resistant E. coli strains, could reveal new ways to prevent these infections and detect outbreaks in diverse communities. The combined methods could also be applied to other resistant infections.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Jennie Kwon
Washington University in St Louis, MO·Medicine & Clinical Research
Identify clinical risk factors for community-associated antibiotic-resistant infections, using a database of patients with urinary tract and bloodstream infections from community and healthcare settings.
Jonathan Chen
Stanford University, CA·Medicine & Clinical Research
Harmonize and share electronic health record data on suspected urinary tract infections across Stanford, UT Southwestern and Harvard to support multi-site model building.
Sapna K Deo
University of Miami, FL·Biochemistry
Develop a bioluminescence-based test using light-emitting Photobacterium cells to quantify urinary tract infection-causing bacteria in urine, read on both a microtiter plate reader and a handheld luminometer.
The school
University of California-San Francisco: 89 labs on PI Pages, $2.1B a year on research, 164 research doctorates a year.
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