George Rutherford

Prof. George Rutherford

University of California, San Francisco
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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RHRichard Hector
Richard Hector
GRGeorge Rutherford
George Rutherford
CTClarisse A. Tsang
Clarisse A. Tsang
LELaura M. Erhart
Laura M. Erhart
OMOrion Mcccoter
Orion Mcccoter
JGJohn Natale Galgiani
John Natale Galgiani
The numbers of reported cases of coccidioidomycosis in Arizona and California have risen dramatically over the past decade, with a 97.8% and 91.1% increase in incidence rates from 2001 to 2006 in the two states, respectively. Of those cases with reported race/ethnicity information, Black/African Americans in Arizona and Hispanics and African/Americans in California experienced a disproportionately higher frequency of disease compared to other racial/ethnic groups. Lack of early diagnosis continues to be a problem, particularly in suspect community-acquired pneumonia, underscoring the need for more rapid and sensitive tests. Similarly, the inability of currently available therapeutics to reduce the duration and morbidity of this disease underscores the need for improved therapeutics and a preventive vaccine.

30 April 2013 in Cochrane Database of Systematic Reviews
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Journal Article
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AAAndrew Anglemyer
Andrew Anglemyer
GRGeorge Rutherford
George Rutherford
THTara Horvath
Tara Horvath
RBRachel C Baggaley
Rachel C Baggaley
MEMatthias Egger
Matthias Egger
NSNandi Siegfried
Nandi Siegfried

29 July 2010 in BMC Public Health
Verified
Journal Article
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GRGeorge Rutherford
George Rutherford
WMWilliam McFarland
William McFarland
HSHilary Spindler
Hilary Spindler
KWKaren White
Karen White
SPSadhna V Patel
Sadhna V Patel
RSRand L Stoneburner
Rand L Stoneburner
Public health triangulation is a process for reviewing, synthesising and interpreting secondary data from multiple sources that bear on the same question to make public health decisions. It can be used to understand the dynamics of HIV transmission and to measure the impact of public health programs. While traditional intervention research and metaanalysis would be ideal sources of information for public health decision making, they are infrequently available, and often decisions can be based only on surveillance and survey data.

31 December 2010
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AAAndrew Anglemyer
Andrew Anglemyer
GRGeorge Rutherford
George Rutherford
RBRachel C Baggaley
Rachel C Baggaley
MEMatthias Egger
Matthias Egger
NSNandi Siegfried
Nandi Siegfried

15 March 2022 in PLOS Medicine
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Journal Article
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AMAli Mirzazadeh
Ali Mirzazadeh
IEIngrid Eshun-Wilson
Ingrid Eshun-Wilson
RTRyan R. Thompson
Ryan R. Thompson
ABAtousa Bonyani
Atousa Bonyani
JKJAMES G KAHN
JAMES G KAHN
EGElvin H. Geng
Elvin H. Geng
Background: Optimizing services to facilitate engagement and retention in care of people living with HIV (PLWH) on antiretroviral therapies (ARTs) is critical to decrease HIV-related morbidity and mortality and HIV transmission. We systematically reviewed the literature for the effectiveness of implementation strategies to reestablish and subsequently retain clinical contact, improve viral load suppression, and reduce mortality among patients who had been lost to follow-up (LTFU) from HIV services. Methods and findings: We searched 7 databases (PubMed, Cochrane, ERIC, PsycINFO, EMBASE, Web of Science, and the WHO regional databases) and 3 conference abstract archives (CROI, IAC, and IAS) to find randomized trials and observational studies published through 13 April 2020. Eligible studies included those involving children and adults who were diagnosed with HIV, had initiated ART, and were subsequently lost to care and that reported at least one review outcome (return to care, retention, viral suppression, or mortality). Data were extracted by 2 reviewers, with discrepancies resolved by a third. We characterized reengagement strategies according to how, where, and by whom tracing was conducted. We explored effects, first, among all categorized as LTFU from the HIV program (reengagement program effect) and second among those found to be alive and out of care (reengagement contact outcome). We used random-effect models for meta-analysis and conducted subgroup analyses to explore heterogeneity. Searches yielded 4,244 titles, resulting in 37 included studies (6 randomized trials and 31 observational studies). In low- and middle-income countries (LMICs) (N = 16), tracing most frequently involved identification of LTFU from the electronic medical record (EMR) and paper records followed by a combination of telephone calls and field tracing (including home visits), by a team of outreach workers within 3 months of becoming LTFU (N = 7), with few incorporating additional strategies to support reengagement beyond contact (N = 2). In high-income countries (HICs) (N = 21 studies), LTFU were similarly identified through EMR systems, at times matched with other public health records (N = 4), followed by telephone calls and letters sent by mail or email and conducted by outreach specialist teams. Home visits were less common (N = 7) than in LMICs, and additional reengagement support was similarly infrequent (N = 5). Overall, reengagement programs were able to return 39% (95% CI: 31% to 47%) of all patients who were characterized as LTFU (n = 29). Reengagement contact resulted in 58% (95% CI: 51% to 65%) return among those found to be alive and out of care (N = 17). In 9 studies that had a control condition, the return was higher among those in the reengagement intervention group than the standard of care group (RR: 1.20 (95% CI: 1.08 to 1.32, P < 0.001). There were insufficient data to generate pooled estimates of retention, viral suppression, or mortality after the return. Conclusions: While the types of interventions are markedly heterogeneity, reengagement interventions increase return to care. HIV programs should consider investing in systems to better characterize LTFU to identify those who are alive and out of care, and further research on the optimum time to initiate reengagement efforts after missed visits and how to best support sustained reengagement could improve efficiency and effectiveness.

6 March 2024 in Nature Communications
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Journal Article
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HPHailey J. Park
Hailey J. Park
GGGregg S. Gonsalves
Gregg S. Gonsalves
STSophia T. Tan
Sophia T. Tan
JKJohn Daniel Kelly
John Daniel Kelly
GRGeorge Rutherford
George Rutherford
NLNathan C. Lo
Nathan C. Lo
There is a public health need to understand how different frequencies of COVID-19 booster vaccines may mitigate the risk of severe COVID-19, while accounting for waning of protection and differential risk by age and immune status. By analyzing United States COVID-19 surveillance and seroprevalence data in a microsimulation model, here we show that more frequent COVID-19 booster vaccination (every 6–12 months) in older age groups and the immunocompromised population would effectively reduce the burden of severe COVID-19, while frequent boosters in the younger population may only provide modest benefit against severe disease. In persons 75+ years, the model estimated that annual boosters would reduce absolute annual risk of severe COVID-19 by 199 (uncertainty interval: 183–232) cases per 100,000 persons, compared to a one-time booster vaccination. In contrast, for persons 18–49 years, the model estimated that annual boosters would reduce this risk by 14 (10–19) cases per 100,000 persons. Those with prior infection had lower benefit of more frequent boosting, and immunocompromised persons had larger benefit. Scenarios with emerging variants with immune evasion increased the benefit of more frequent variant-targeted boosters. This study underscores the benefit of considering key risk factors to inform frequency of COVID-19 booster vaccines in public health guidance and ensuring at least annual boosters in high-risk populations.