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1.
Nota Informativa Novo Coronavírus (2019-Ncov)/ Technical note: New coronavirus
Fonte: Teresina; CIEVS-PI; 30 jan. 2020. 8 p.
LILACS - Literatura Latino-Americana e do Caribe em Ciências da Saúde
ID: 1118389
Resumo:
Em 31 de dezembro de 2019 o escritório da Organização Mundial da Saúde (OMS) foi informado sobre casos de pneumonia de etiologia desconhecida detectados na cidade de Wuhan, na Província de Hubei, parte central da China. Em 12 de janeiro de 2020, a China divulgou a sequência genética de um novocoronavírus sendo responsável por estas infecções.Coronavírus (CoV) é uma ampla família de vírus que em humanos podem causar doenças semelhantes a gripe comum até casos mais severos. O
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2.
Factors associated with adverse outcomes during influenza outbreaks in aged care facilities.
Fonte: Aust N Z J Public Health;44(1): 65-72, 2020 Feb.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 31617654
Resumo:
OBJECTIVE: To explore factors associated with adverse outcomes during influenza outbreaks in residential aged care facilities. METHODS: A retrospective cohort study of all outbreaks reported to three Sydney metropolitan Public Health Units during 2017. RESULTS: A total of 123 outbreaks affected 1,787 residents and 543 staff. Early notification to a Public Health Unit was associated with shorter outbreak duration (p<0.001; B=0.674). Resident attack rates and resident mortality rates were low
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3.
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
Fonte: PLoS Comput Biol;15(11): e1007486, 2019 11.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 31756193
Resumo:
Seasonal influenza results in substantial annual morbidity and mortality in the United States and worldwide. Accurate forecasts of key features of influenza epidemics, such as the timing and severity of the peak incidence in a given season, can inform public health response to outbreaks. As part of ongoing efforts to incorporate data and advanced analytical methods into public health decision-making, the United States Centers for Disease Control and Prevention (CDC) has organized seasonal i
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4.
Managing Influenza Outbreaks Through Social Interaction on Social Media: Research Transformation Through an Engaged Scholarship Approach.
Fonte: Stud Health Technol Inform;259: 39-44, 2019.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 30923270
Resumo:
This research project seeks to develop our understanding of the spread of influenza through social interactions, individual and group activities as well as through public attitudes towards official health responses as they occur on social media platforms. We propose to conduct a series of workshops to: 1) develop a deep understanding of current social media crisis communications practices during influenza outbreaks; and 2) to assist public health agencies and health professionals to manage
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5.
Tendência e distribuição espacial de doenças infecciosas em gestantes no estado do Paraná-Brasil/ Trend and spatial distribution of infectious diseases in pregnant women in the state of Paraná-Brazil/ Tendencia y distribución espacial de enfermedades infecciosas en gestantes en el estado de Paraná-Brasil
Fonte: Rev. latinoam. enferm. (Online);27: e3160, 2019. tab, graf
LILACS - Literatura Latino-Americana e do Caribe em Ciências da Saúde
ID: 1020701
Resumo:
Objetivo analisar a tendência e a distribuição espacial de algumas doenças de notificação compulsória em gestantes. Método estudo ecológico, com dados do Sistema Nacional de Agravos de Notificação, das incidências das seis doenças de notificação mais frequentes em gestantes. O modelo de Prais-Winsten foi utilizado para a análise da tendência classificada em estável, decrescente e crescente, segundo macrorregiões. Para a análise espacial, foram calculadas as incidênci
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6.
Prescription surveillance for early detection system of emerging and reemerging infectious disease outbreaks.
Fonte: Biosci Trends;12(5): 523-525, 2018.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 30473564
Resumo:
Based on prescriptions filled at external pharmacies, prescription surveillance (PS) in Japan has been reporting the estimated numbers of influenza and varicella patients and people prescribed certain drugs since 2009. Every morning, this system estimates the numbers of patients from the numbers of prescriptions filled nationwide for neuraminidase inhibitors, anti-herpes virus drugs, antibiotic drugs, antipyretic analgesics, and multi-ingredient cold medications. Moreover, it can detect "un
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7.
[Study on early warning threshold values for 7 common communicable diseases in Gansu province, 2016].
Fonte: Zhonghua Liu Xing Bing Xue Za Zhi;39(3): 352-356, 2018 Mar 10.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 29609253
Resumo:
Objective: To optimize the warning threshold values of common communicable diseases in Gansu province, and improve the early warning effect. Method: An early warning model was set up for influenza, scarlet fever, other infectious diarrheal diseases, dysentery, typhoid and paratyphoid, viral hepatitis type E and hand foot and mouth disease (HFMD) respectively in Gansu by using the moving percentile method and cumulative sum method. By calculating the sensitivity, specificity, predictive valu
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8.
Contagion! The BBC Four Pandemic - The model behind the documentary.
Fonte: Epidemics;24: 49-59, 2018 09.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 29576516
Resumo:
To mark the centenary of the 1918 influenza pandemic, the broadcasting network BBC have put together a 75-min documentary called 'Contagion! The BBC Four Pandemic'. Central to the documentary is a nationwide citizen science experiment, during which volunteers in the United Kingdom could download and use a custom mobile phone app called BBC Pandemic, and contribute their movement and contact data for a day. As the 'maths team', we were asked to use the data from the app to build and run a mo
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9.
Much ado about flu: A mixed methods study of parental perceptions, trust and information seeking in a pandemic.
Fonte: Influenza Other Respir Viruses;12(4): 514-521, 2018 07.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 29437291
Resumo:
BACKGROUND: Effective public health messaging is essential in both the planning phase and duration of a pandemic. OBJECTIVES: This study aimed to gain an understanding of parental information seeking, trusted sources and needs in relation to pandemic influenza A 2009 (pH1N1) to inform future policy planning and resource development. PATIENTS/METHODS: We conducted a mixed methods study; parents from 16 childcare centres in Sydney, Australia, were surveyed between 16 November and 9 December 2
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10.
Identification of Keywords From Twitter and Web Blog Posts to Detect Influenza Epidemics in Korea.
Fonte: Disaster Med Public Health Prep;12(3): 352-359, 2018 06.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 28756796
Resumo:
OBJECTIVE: Social media data are a highly contextual health information source. The objective of this study was to identify Korean keywords for detecting influenza epidemics from social media data. METHODS: We included data from Twitter and online blog posts to obtain a sufficient number of candidate indicators and to represent a larger proportion of the Korean population. We performed the following steps: initial keyword selection; generation of a keyword time series using a preprocessing
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11.
Epidemiologic patterns of influenza outbreaks in institutional settings.
Fonte: Public Health;155: 23-25, 2018 Feb.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 29288876
Resumo:
OBJECTIVES: Congregate environments facilitate spread of influenza viruses and could result in serious outcomes among residents. METHODS: We reviewed the epidemiology and identified factors that affect outbreak outcomes, using descriptive statistics and generalized estimating equations (GEE) regression. Outbreak duration, attack rate, hospitalization rate, case fatality rate, and the proportion of laboratory tests performed among infected residents were calculated by viral etiology, time to
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12.
Surveillance and laboratory detection for non-polio enteroviruses in the European Union/European Economic Area, 2016.
Fonte: Euro Surveill;22(45)2017 Nov.
MEDLINE - Literatura Internacional em Ciências da Saúde
PMID: 29162204
Resumo:
Enteroviruses (EVs) cause severe outbreaks of respiratory and neurological disease as illustrated by EV-D68 and EV-A71 outbreaks, respectively. We have mapped European laboratory capacity for identification and characterisation of non-polio EVs to improve preparedness to respond to (re)-emerging EVs linked to severe disease. An online questionnaire on non-polio EV surveillance and laboratory detection was submitted to all 30 European Union (EU)/European Economic Area (EEA) countries. Twenty
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