Last data update: Oct 28, 2024. (Total: 48004 publications since 2009)
Records 1-5 (of 5 Records) |
Query Trace: Otis A[original query] |
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Health care-associated infections studies project: An American Journal Of Infection Control and national healthcare safety network data quality collaboration case study - Chapter 2 Identifying Healthcare-associated Infections (HAI) for NHSN Surveillance case study vignettes
Smith H , Watkins J , Otis M , Hebden JN , Wright MO . Am J Infect Control 2022 50 (6) 695-698 This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) healthcare-associated infection (HAI) surveillance definitions. This specific case study focuses on the application of three of the surveillance concepts included in the Patient Safety Component, Chapter 2 - Identifying Healthcare-associated Infections (HAI) for NHSN Surveillance. The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions and encourage accurate HAI event determination among Infection Preventionists (IPs). |
Health Care-Associated Infections Studies Project: An American Journal of Infection Control and National Healthcare Safety Network Data Quality Collaboration Case Study - Chapter 9 Surgical Site Infection Event (SSI) Case Study
Russo V , Leaptrot D , Otis M , Smith H , Hebden JN , Wright MO . Am J Infect Control 2022 50 (7) 799-800 This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) healthcare-associated infection (HAI) surveillance definitions. This specific case study focuses on the application of common surveillance concepts included in the Patient Safety Component, Chapter 9 - Surgical Site Infection Event (SSI). The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions and encourage accurate HAI event determination among Infection Preventionists (IPs). |
SARS-COV-2 ANTIBODY PREVALENCE AMONG HEALTHCARE WORKERS AND FIRST RESPONDERS, FLORIDA, MAY-JUNE 2020.
Matthias J , Spencer EC , Michniewicz M , Bendle TM , Wilson C , Scheppke KA , Blackmore C , Otis A , Rivkees SA . Fla Public Health Rev 2021 18 (1) 1-10 BACKGROUND: The SARS-CoV-2 virus responsible for severe respiratory infection associated with coronavirus disease 2019 (COVID-19) was first confirmed in Florida on March 1, 2020. Responding to the pandemic, multi-agency collaborative partnerships put in place actions integrating point-of-care antibody testing at established large-scale COVID-19 testing sites where the baseline seropositivity of COVID-19 in health care workers and first responders in Florida at the start of the pandemic was established. PURPOSE: Determine the seropositivity of healthcare workers and first responders at five drive thru testing sites using a rapid SARS-CoV-2 antibody test in Florida from May 6 through June 3, 2020. METHODS: The first drive-thru SARS-CoV-2 antibody test site was opened at Miami Hard Rock Stadium, May 6, 2020. Testing expanded to three additional sites on May 9, 2020: Jacksonville, Orlando, and Palm Beach. The fifth and final site, Miami Beach, began testing on May 21, 2020. Healthcare workers and first responder's self-seeking SARS-CoV-2 testing were designated for antibody testing and completed a laboratory collection form onsite for the point-of-care test. All testing was performed on whole blood specimens (obtained by venipuncture) using the Cellex Inc. qSARS-CoV-2 IgG/IgM Rapid Test. Seropositivity was assessed by univariate analysis and by logistic regression including the covariates age, sex, race/ethnicity, and testing location. RESULTS AND DISCUSSION: As of June 3, 2020, of 5,779 healthcare workers and first responders tested, 4.1% were seropositive (range 2.6-8.2%). SARS-COV-2 antibody tests had higher odds of being positive for persons testing at the Miami Hard Rock Stadium (aOR 2.24 [95% C.I. 1.48-3.39]), persons of Haitian/Creole ethnicity (aOR 3.28 [95% C.I. 1.23-8.72]), Hispanic/Latino(a) ethnicity (aOR 2.17 [95% C.I. 1.50-3.13], and Black non-Hispanic persons (aOR 1.63 [95% C.I. 1.08-2.46]). SARS-COV-2 antibody prevalence among first responders and healthcare workers in five sites in Florida varied by race and ethnicity and by testing location. |
Partnerships involved in public health testing for Zika virus in Florida, 2016
Heberlein-Larson L , Gillis LD , Morrison A , Scott B , Cook M , Cannons A , Quaye E , White S , Cone M , Mock V , Schiffer J , Lonsway D , Petway M , Otis A , Stanek D , Hamilton J , Crowe S . Public Health Rep 2019 134 43s-52s The emergence of Zika virus in the Americas in 2015 and its association with birth defects and other adverse health outcomes triggered an unprecedented public health response and a demand for testing. In 2016, when Florida exceeded state public health laboratory capacity for diagnostic testing, the state formed partnerships with federal and commercial laboratories. Eighty-two percent of the testing (n = 33 802 of 41 008 specimens) by the laboratory partners, including Florida's Bureau of Public Health Laboratories (BPHL; n = 13 074), a commercial laboratory (n = 19 214), and the Centers for Disease Control and Prevention (CDC; n = 1514), occurred from July through November 2016, encompassing the peak period of local transmission. These partnerships allowed BPHL to maintain acceptable test turnaround times of 1 to 4 days for nucleic acid testing and 3 to 7 days for serologic testing. Lessons learned from this response to inform future outbreaks included the need for early planning to establish outside partnerships, adding specimen triage strategies to surge plans, and integrating state and CDC information systems. |
Toward a county-level map of tuberculosis rates in the U.S.
Scales D , Brownstein JS , Khan K , Cetron MS . Am J Prev Med 2014 46 (5) e49-51 Active tuberculosis (TB) is a reportable communicable disease in all 50 states, but nationwide, county-level data are not released publicly. The CDC’s Online Tuberculosis Information System (OTIS) provides public surveillance data only by state. Owing to an agreement with the states, the CDC cannot publicly release TB data at the county level, precluding the development of publicly available, county-level maps of TB cases and incidence rates. | The lack of a more granular nationwide data set has limited the study of TB trends and socioeconomic risk factors to states,1 Metropolitan Statistical Areas,2 or census tracts within a single state.3 A nationwide county-level data set of TB rates provides opportunities to examine TB-related trends across multiple states, metropolitan areas, and across counties with similar demographic characteristics, such as the number of people deemed to be at high risk.4 |
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