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1.
Public Health Rep ; 137(6): 1070-1078, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34644188

RESUMO

OBJECTIVES: Syndromic surveillance can be used to enhance notifiable disease case-based surveillance. We analyzed features of varicella reported in Georgia to evaluate case detection through syndromic surveillance and to compare varicella reported through syndromic surveillance with varicella reported from all other sources. METHODS: Syndromic surveillance was incorporated into case-based varicella surveillance by the Georgia Department of Public Health (GDPH) in May 2016. A cross-sectional study design evaluated syndromic and nonsyndromic varicella reported to GDPH from May 1, 2016, through December 31, 2019. Varicella was reported by nonsyndromic sources including health care providers, schools, and laboratories. We identified syndromic varicella cases from urgent care and emergency department visit data with discharge diagnoses containing the terms "varicella" or "chickenpox." RESULTS: Syndromic notifications accounted for 589 of 2665 (22.1%) suspected varicella reports investigated by GDPH. The positive predictive value was 33.1% for syndromic notifications and 31.3% for nonsyndromic notifications. Mean days from rash onset to GDPH notification was 3.2 days fewer (P < .001) among patients identified through syndromic notification than among patients identified through nonsyndromic notification. The odds of varicella identified by syndromic notification being outbreak-associated were 0.18 (95% CI, 0.09-0.36) times those of varicella identified through nonsyndromic notification. PRACTICE IMPLICATIONS: Syndromic notifications were an effective, timely means for varicella case detection. Syndromic patients were significantly less likely than nonsyndromic patients to be outbreak-associated, possibly because of early detection. Syndromic surveillance enhanced case-based reporting for varicella in Georgia and was a useful tool to improve notifiable disease surveillance.


Assuntos
Varicela , Varicela/epidemiologia , Estudos Transversais , Surtos de Doenças , Georgia/epidemiologia , Humanos , Vigilância da População , Vigilância de Evento Sentinela
3.
Emerg Infect Dis ; 27(5): 1296-1300, 2021 05.
Artigo em Inglês | MEDLINE | ID: mdl-33900178

RESUMO

Zika virus diagnostic testing and laboratory research increased considerably when Zika virus began spreading through the Americas in 2015, increasing the risk for potential Zika virus exposure of laboratory workers and biomedical researchers. We report 4 cases of laboratory-associated Zika virus disease in the United States during 2016-2019. Of these, 2 were associated with needlestick injuries; for the other 2 cases, the route of transmission was undetermined. In laboratories in which work with Zika virus is performed, good laboratory biosafety practices must be implemented and practiced to reduce the risk for infection among laboratory personnel.


Assuntos
Infecção por Zika virus , Zika virus , América , Humanos , Laboratórios , Pesquisa , Estados Unidos
4.
PLoS One ; 11(7): e0156888, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27459717

RESUMO

BACKGROUND: Tools using local HIV data to help jurisdictions estimate future demand for medical and support services are needed. We present an interactive prevalence projection model using data obtainable from jurisdictional HIV surveillance and publically available data. METHODS: Using viral load data from Georgia's enhanced HIV/AIDS Reporting System, state level death rates for people living with HIV and the general population, and published estimates for HIV transmission rates, we developed a model for projecting future HIV prevalence. Keeping death rates and HIV transmission rates for undiagnosed, in care/viral load >200, in care/viral load<200, and out of care (no viral load for 12 months) constant, we describe results from simulations with varying inputs projecting HIV incidence and prevalence from 2014 to 2024. RESULTS: In this model, maintaining Georgia's 2014 rates for diagnosis, transitions in care, viral suppression (VS), and mortality by sub-group through 2020, resulted in 85% diagnosed, 59% in care, and 44% VS among diagnosed (85%/58%/44%) with a total of 67 815 PLWH, 33 953 in care, and more than 1000 new cases per year by 2020. Neither doubling the diagnosis rate nor tripling rates of re-engaging out of care PLWH into care alone were adequate to reach 90/90/80 by 2020. We demonstrate a multicomponent scenario that achieved NHAS goals and resulted in 63 989 PLWH, 57 546 in care, and continued annual prevalence increase through 2024. CONCLUSIONS: Jurisdictions can use this HIV prevalence prediction tool, accessible at https://dph.georgia.gov/hiv-prevalence-projections to assess local capacity to meet future HIV care and social services needs. In this model, achieving 90/90/80 by 2020 in Georgia slowed but did not reverse increases in HIV prevalence, and the number of HIV-infected persons needing care and support services more than doubled. Improving the HIV care infrastructure is imperative.


Assuntos
Infecções por HIV/epidemiologia , Modelos Teóricos , Vigilância da População , Informática em Saúde Pública/métodos , Algoritmos , Georgia/epidemiologia , Infecções por HIV/transmissão , Infecções por HIV/virologia , Humanos , Incidência , Mortalidade , Vigilância da População/métodos , Prevalência , Software , Carga Viral , Navegador
6.
J Clin Microbiol ; 52(3): 849-53, 2014 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-24371236

RESUMO

An outbreak at a university in Georgia was identified after 83 cases of probable pneumonia were reported among students. Respiratory specimens were obtained from 21 students for the outbreak investigation. The TaqMan array card (TAC), a quantitative PCR (qPCR)-based multipathogen detection technology, was used to initially identify Mycoplasma pneumoniae as the causative agent in this outbreak. TAC demonstrated 100% diagnostic specificity and sensitivity compared to those of the multiplex qPCR assay for this agent. All M. pneumoniae specimens (n=12) and isolates (n=10) were found through genetic analysis to be susceptible to macrolide antibiotics. The strain diversity of M. pneumoniae associated with this outbreak setting was identified using a variety of molecular typing procedures, resulting in two P1 genotypes (types 1 [60%] and 2 [40%]) and seven different multilocus variable-number tandem-repeat analysis (MLVA) profiles. Continued molecular typing of this organism, particularly during outbreaks, may enhance the current understanding of the epidemiology of M. pneumoniae and may ultimately lead to a more effective public health response.


Assuntos
Técnicas Bacteriológicas/métodos , Surtos de Doenças , Técnicas de Diagnóstico Molecular/métodos , Mycoplasma pneumoniae/isolamento & purificação , Pneumonia por Mycoplasma/epidemiologia , Reação em Cadeia da Polimerase em Tempo Real/métodos , Universidades , Adolescente , Adulto , Antibacterianos/farmacologia , Secreções Corporais/microbiologia , Farmacorresistência Bacteriana , Feminino , Variação Genética , Georgia/epidemiologia , Humanos , Macrolídeos/farmacologia , Masculino , Testes de Sensibilidade Microbiana , Tipagem Molecular , Mycoplasma pneumoniae/efeitos dos fármacos , Mycoplasma pneumoniae/genética , Pneumonia por Mycoplasma/microbiologia , Sistema Respiratório/microbiologia , Sensibilidade e Especificidade , Estudantes , Adulto Jovem
7.
Infect Control Hosp Epidemiol ; 31(5): 522-7, 2010 May.
Artigo em Inglês | MEDLINE | ID: mdl-20350149

RESUMO

OBJECTIVE: To identify risk factors for polymicrobial bloodstream infections (BSIs) in pediatric bone marrow transplant (BMT) outpatients attending a newly constructed clinic affiliated with a children's hospital. METHODS: All 30 outpatients treated at a new BMT clinic during September 10-21, 2007, were enrolled in a cohort study. The investigation included interviews, medical records review, observations, and bacterial culture and molecular typing of patient and environmental isolates. Data were analyzed using exact conditional logistic regression. RESULTS: Thirteen patients experienced BSIs caused by 16 different, predominantly gram-negative organisms. Presence of a tunneled catheter (odds ratio [OR], 19.9 [95% confidence interval {CI}, 2.4-infinity), catheter access (OR, 13.7 [95% CI, 1.8-infinity]), and flushing of a catheter with predrawn saline (OR, 12.9 [95% CI, 1.0-766.0]) were independently associated with BSI. The odds of experiencing a BSI increased by a factor of 16.8 with each additional injection of predrawn saline (95% CI, 1.8-827.0). Although no environmental source of pathogens was identified, interviews revealed breaches in recommended infection prevention practice and medication handling. Saline flush solutions were predrawn, and multiple doses were obtained from single-dose preservative-free vials to avoid delays in patient care. CONCLUSION: We speculate that infection prevention challenges in the new clinic, combined with successive needle punctures of vials, facilitated extrinsic contamination and transmission of healthcare-associated pathogens. We recommend that preservative-free single-use vials not be punctured more than once. Use of single-use prefilled saline syringes might prevent multiuse of single-use saline vials. Storage of saline outside a medication supply system might be advisable. Before opening new clinic facilities, hospitals should consider conducting a mock patient flow exercise to identify infection control challenges.


Assuntos
Transplante de Medula Óssea/efeitos adversos , Infecções Relacionadas a Cateter/epidemiologia , Infecção Hospitalar/epidemiologia , Infecções por Bactérias Gram-Negativas/epidemiologia , Pacientes Ambulatoriais/estatística & dados numéricos , Adolescente , Infecções Relacionadas a Cateter/microbiologia , Infecções Relacionadas a Cateter/prevenção & controle , Cateterismo Venoso Central/efeitos adversos , Cateteres de Demora/efeitos adversos , Cateteres de Demora/microbiologia , Criança , Pré-Escolar , Estudos de Coortes , Infecção Hospitalar/microbiologia , Infecção Hospitalar/prevenção & controle , Feminino , Georgia , Infecções por Bactérias Gram-Negativas/microbiologia , Infecções por Bactérias Gram-Negativas/prevenção & controle , Hospitais Pediátricos/estatística & dados numéricos , Humanos , Lactente , Controle de Infecções/métodos , Masculino , Ambulatório Hospitalar , Fatores de Risco
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