Creating a Model Program for Influenza Surveillance in California

Louie, Janice K.; Schnurr, David P.; Guevara, Hugo; Honarmand, Somayeh; Cheung, Michèle; Cottam, David W.; Yeh, Elaine; Wold, Lauren; Boston, Erica; Tang, Janet; Cummings, Kate; Donovan, Richard M.; Schechter, R.S.; Rosenberg, Jon; Walter, Lawrence; Chapman, John A.; Baxter, Roger; Glaser, Carol

doi:10.1016/j.amepre.2007.05.008

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Influenza hospitalization surveillance provides information regarding the time course (start, peak, end) of seasonal influenza activity, including influenza A and B; the reported case numbers and population-based rates of seasonal influenza by influenza virus type, age group, gender, and geographic region; and a measure of the relative severity of an influenza season compared with previous seasons. Some states conduct surveillance for the numbers of pneumonia and influenza hospital admissions, on a syndromic basis, ( 6 , 7 ) but this may not necessarily be population based and only provides information on time course and relative severity of influenza activity without the additional information available from laboratory-confirmed, case-based reporting.…”

Section: Discussionmentioning

confidence: 99%

Case-based Surveillance of Influenza Hospitalizations during 2004–2008, Colorado, USA

Proff

Gershman²,

Lezotte³

et al. 2009

Emerg. Infect. Dis.

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Section: Discussionmentioning

confidence: 99%

Case-based Surveillance of Influenza Hospitalizations during 2004–2008, Colorado, USA

Proff

Gershman²,

Lezotte³

et al. 2009

Emerg. Infect. Dis.

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“…Respiratory secretions from the California Influenza Surveillance Program study. A total of 943 respiratory specimens were sent to the California Department of Health Services (DHS) during the 2005-2006 season (25). Among these 943 specimens, 460 were pooled nasopharyngeal and oropharyngeal swabs collected as part of the California Influenza Surveillance Program (CISP) study under protocols approved by the DHS.…”

Section: Methodsmentioning

confidence: 99%

“…Since UC1 was first identified in respiratory secretions, we screened 719 respiratory specimens from two large groups of patients: 278 nasopharyngeal aspirates from pediatric patients at a single hospital (190 specimens from patients with an acute respiratory illness) (13) and 441 pooled oropharyngeal and nasopharyngeal swabs from individuals in California with influ-enza-like illness (25). None of the 719 total respiratory specimens tested was positive for cardioviruses.…”

Section: Prevalence Of Cardioviruses In Clinical Specimensmentioning

confidence: 99%

“…Total nucleic acid was then extracted from the specimens using the MasterPure Complete DNA and RNA Purification Kit (Epicentre). Real-time one-step RT-PCR assays for RSV, FluA/B, and picornavirus (inclusive of RV and EV) were then performed as previously described (25,33,36). In the UCSF pediatric respiratory infections study, 200-l aliquots of nasopharyngeal lavage were used to extract RNA using the RNeasy Mini Kit (Qiagen Corporation), including on-column DNase digestion.…”

Section: Specimen Preparation and Diagnostic Testingmentioning

confidence: 99%

See 1 more Smart Citation

Identification of cardioviruses related to Theiler's murine encephalomyelitis virus in human infections

Chiu

Greninger

Kanada

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

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157

179

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Cardioviruses comprise a genus of picornaviruses that cause severe illnesses in rodents, but little is known about the prevalence, diversity, or spectrum of disease of such agents among humans. A single cardiovirus isolate, Saffold virus, was cultured in 1981 in stool from an infant with fever. Here, we describe the identification of a group of human cardioviruses that have been cloned directly from patient specimens, the first of which was detected using a pan-viral microarray in respiratory secretions from a child with influenza-like illness. Phylogenetic analysis of the nearly complete viral genome (

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Improving State-Level Influenza Surveillance by Incorporating Real-Time Smartphone-Connected Thermometer Readings Across Different Geographic Domains

Peterson

Singh²,

Pilewski³

et al. 2019

Open Forum Infectious Diseases

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Background Timely estimates of influenza activity are important for clinical and public health practice. However, traditional surveillance sources may be associated with reporting delays. Smartphone-connected thermometers can capture real-time illness symptoms, and these geo-located readings may help improve state-level forecast accuracy. Methods Temperature recordings were collected from smart thermometers and an associated mobile phone application. Using temperature recordings, we developed forecasting models of real-time state-reported influenza-like illness (ILI) 2 weeks before the availability of published reports. We compared time-series models that incorporated thermometer readings at various levels of spatial aggregation and evaluated out-of-sample model performance in an adaptive manner comparing each model to baseline models without thermometer information. Results More than 12 million temperature readings were recorded from over 500,000 devices from August 30, 2015 to April 15, 2018. Readings were voluntarily reported from anonymous device users, with potentially multiple users for a single device. We developed forecasting models of real-time outpatient ILI for 46 states with sufficient state-reported ILI data. Forecast accuracy improved considerably when information from thermometers was incorporated. On average, thermometer readings reduced the squared error of state-level forecasting by 43% during influenza season and more than 50% in many states. In general, best-performing models tended to result from incorporating thermometer information at multiple levels of spatial aggregation. Conclusion Local forecasts of current influenza activity, measured by outpatient ILI, can be improved by incorporating real-time information from mobile-devices. Information aggregated across neighboring states, regions, and the nation can lead to more reliable forecasts, benefiting local surveillance efforts.

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Creating a Model Program for Influenza Surveillance in California

Cited by 4 publications

References 9 publications

Case-based Surveillance of Influenza Hospitalizations during 2004–2008, Colorado, USA

Case-based Surveillance of Influenza Hospitalizations during 2004–2008, Colorado, USA

Identification of cardioviruses related to Theiler's murine encephalomyelitis virus in human infections

Improving State-Level Influenza Surveillance by Incorporating Real-Time Smartphone-Connected Thermometer Readings Across Different Geographic Domains

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