Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance system.
about
Empirical evidence for the effect of airline travel on inter-regional influenza spread in the United StatesSurveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap projectExploring the relationship between incidence and the average age of infection during seasonal epidemicsThe severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysisAge-related differences in the accuracy of web query-based predictions of influenza-like illnessAge as a determinant for dissemination of seasonal and pandemic influenza: an open cohort study of influenza outbreaks in Östergötland County, SwedenAn epidemiological network model for disease outbreak detectionSyndromic surveillance for influenza in the emergency department-A systematic reviewMitigation strategies for pandemic influenza in the United States.Determining the dynamics of influenza transmission by ageLong-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum.Pre- and postpandemic estimates of 2009 pandemic influenza A(H1N1) seroprotection to inform surveillance-based incidence, by age, during the 2013-2014 epidemic in Canada.Modelling control measures to reduce the impact of pandemic influenza among schoolchildren.Scenarios of diffusion and control of an influenza pandemic in Italy.Modeling receipt of influenza A(H1N1)pdm09 vaccinations among US children during the 2009-2010 flu season: findings from the 2010 National Health Interview SurveyPrioritization of influenza pandemic vaccination to minimize years of life lost.Using age, triage score, and disposition data from emergency department electronic records to improve Influenza-like illness surveillance.Telephone triage service data for detection of influenza-like illness.Mortality and morbidity burden associated with A/H1N1pdm influenza virus: Who is likely to be infected, experience clinical symptoms, or die from the H1N1pdm 2009 pandemic virus ?The severity of pandemic H1N1 influenza in the United States, April - July 2009Does Glycosylation as a modifier of Original Antigenic Sin explain the case age distribution and unusual toxicity in pandemic novel H1N1 influenza?Characteristics of US public schools with reported cases of novel influenza A (H1N1).H1N1pdm in the AmericasSwine-origin influenza a outbreak 2009 at Shinshu University, Japan.Age-specific differences in influenza A epidemic curves: do children drive the spread of influenza epidemics?Prospective hospital-based case-control study to assess the effectiveness of pandemic influenza A(H1N1)pdm09 vaccination and risk factors for hospitalization in 2009-2010 using matched hospital and test-negative controlsThe burden of seasonal and pandemic influenza in infants and children.The accuracy and timeliness of neuraminidase inhibitor dispensing data for predicting laboratory-confirmed influenza.Vaccinating to protect a vulnerable subpopulation.Monitoring the impact of influenza by age: emergency department fever and respiratory complaint surveillance in New York City.Potential for early warning of viral influenza activity in the community by monitoring clinical diagnoses of influenza in hospital emergency departments.Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance systemUse of population health data to refine diagnostic decision-making for pertussisAge-Specific Patterns of Influenza Activity in Utah: Do Older School Age Children Drive the Epidemic?Parental perceptions of school-based influenza immunisation in Ontario, Canada: a qualitative study.A retrospective population-based cohort study identifying target areas for prevention of acute lower respiratory infections in children.Timely detection of localized excess influenza activity in Northern California across patient care, prescription, and laboratory data.Socio-economic disparities in the burden of seasonal influenza: the effect of social and material deprivation on rates of influenza infection.A low-cost method to assess the epidemiological importance of individuals in controlling infectious disease outbreaks.Increased influenza-related healthcare utilization by residents of an urban aboriginal community.
P2860
Q21144693-142D67B0-26ED-47FC-9CBA-EBE919544A06Q21563414-7BDF4437-4D48-434E-BD91-832C198F3225Q27489629-8F4D7D3F-34AC-4978-954F-62ACB6154FBEQ28472166-CC34C5DB-9DB1-4505-9FC6-34FAFF267F35Q28647039-075D3C6A-B3BB-440E-9D9B-95B372A5D2C1Q28731805-23AF3376-231C-4827-BB5F-9C88F288BDDDQ28757522-AC2310E3-3556-4C7F-A534-E51A028DD412Q30220497-EDFA5B47-68CC-437E-B194-87EBBADB86E8Q30353646-59D23233-52F3-4400-9149-52E03B3F5664Q30360515-07431610-27AF-4FCE-A0F7-03B202D50438Q30360519-031D9349-1844-46DD-9B2D-4420B6EDCAB3Q30364076-4BA4429E-6194-4466-9B38-F6B0672EF951Q30364559-3A54B3A8-77AB-488A-B1F2-354EC4640CA4Q30367736-58605C06-2DEA-44FE-9993-4239B8626FDFQ30369900-E3ED816D-D452-44B2-94E9-36705066457AQ30370024-259A8706-9B88-41C6-8001-3B289C84541AQ30372187-F27BAAC5-684D-4075-A9A6-A02AAA5BE0C7Q30376296-E59CA4CC-E704-4CE7-A2EB-A6337CB2FECCQ30383788-49130AC4-7A27-4169-836E-F80A0BCC03B3Q30383799-61BF37BE-9F5C-4073-8521-FD114969A259Q30384213-E1EF8B1A-D829-4246-B90D-E0BB3FE95E8CQ30387595-2CDDC8BF-1B83-42D5-A034-3F1457EF034AQ30393798-5418ECCA-C468-4504-9C85-1531C7D66E1BQ30399306-1621E0CC-619F-4F1A-BA0E-53E7A8D5F8DDQ30403017-2D30C1DA-BD8A-4399-A42B-339FB0A61FADQ30417417-46CB91EF-18BE-4BF2-832A-C4231CF9DA98Q30430303-9669209C-7ADE-4785-90D5-2B22C653A63FQ31028625-FB7DF31E-3DB2-4959-BA05-7B5A0D63AC1EQ33285392-25CAC381-D30E-4F18-8FB4-594F3D442C28Q33293374-897C3B84-D46F-46E4-8E7D-6F42E6DD6D6BQ33299402-2EC0FC70-2425-484B-A2E0-F1376B53494EQ33520365-FACCDD70-0278-4091-8D39-9F58B0DDDDAFQ33523231-247235D1-BDBD-4E20-9C81-6C1F42BD6B24Q33676999-16071FAC-9F73-4AC5-A8C2-FE724E05B570Q33744899-D0C5779B-9DF5-4C86-A1D4-2ECC64761416Q33765286-E58BF15A-6E98-459F-BDC1-FA90BE670E90Q33818328-09C1260E-0255-4C88-BFAD-DBFE770EB971Q33831905-3A6B9A0F-9E46-4D61-B74F-09F7A8AA07E3Q34583286-7AD558F3-E12E-4266-8584-C85685EA8EA9Q35038131-E1A4E305-0A80-4E75-AA70-E82C01B1B864
P2860
Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance system.
description
2005 nî lūn-bûn
@nan
2005 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Identifying pediatric age grou ...... regional surveillance system.
@ast
Identifying pediatric age grou ...... regional surveillance system.
@en
Identifying pediatric age grou ...... regional surveillance system.
@nl
type
label
Identifying pediatric age grou ...... regional surveillance system.
@ast
Identifying pediatric age grou ...... regional surveillance system.
@en
Identifying pediatric age grou ...... regional surveillance system.
@nl
prefLabel
Identifying pediatric age grou ...... regional surveillance system.
@ast
Identifying pediatric age grou ...... regional surveillance system.
@en
Identifying pediatric age grou ...... regional surveillance system.
@nl
P2860
P356
P1476
Identifying pediatric age grou ...... regional surveillance system.
@en
P2093
Ken P Kleinman
Kenneth D Mandl
P2860
P304
P356
10.1093/AJE/KWI257
P407
P577
2005-08-17T00:00:00Z