Objective: To identify a set of fundable and practically feasible research priorities in the field of syndromic surveillance response on the basis of expert consensus.
Methods: The nominal group technique was used to structure an expert panel meeting in February 2009. Eleven national experts participated in the meeting, representing health departments at the city, county, state, and federal levels as well as academia and the military.
Results: The expert panel identified 3 research topics as consensus research priorities. These included the following: (1) How should different types of evidence and complementary data systems be integrated (merging data, visualizations)? (2) How can syndromic surveillance best be used in an electronic medical record environment? and (3) What criteria should be used to prioritize alerts? All identified research priorities were considered to be moderately highly fundable and feasible by an external group of experts with a record of obtaining grant funding in the field of biosurveillance.
Conclusions: Prioritized research needs clustered around the common theme of how best to integrate diverse types and sources of information to inform action; thus, the major challenge that health departments are facing appears to be how to process abundant alert data from dissimilar sources. The nominal group technique in this study provided a method for systems' monitors to communicate their needs to the research community and can influence the commissioning of research by funding institutions.
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http://dx.doi.org/10.1097/PHH.0b013e3181c7c9bd | DOI Listing |
J Infect Public Health
December 2024
First Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy; Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Italy.
Background: Large-scale diagnostic testing has been proven ineffective for prompt monitoring of the spread of COVID-19. Electronic resources may facilitate enhanced early detection of epidemics. Here, we aimed to retrospectively explore whether examining trends in the use of emergency and healthcare services and the Google search engine is useful in detecting Severe Acute Respiratory Syndrome Coronavirus outbreaks early compared with the currently used swab-based surveillance system.
View Article and Find Full Text PDFBreast Cancer
December 2024
The Comprehensive Breast Care Center, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Background: In patients with breast cancer staged ypN1 after neoadjuvant chemotherapy (NAC), there is limited evidence-based guidance regarding exemption from axillary lymph node dissection (ALND).
Methods: This study analyzed ypN1 breast cancer patients post-NAC from the Surveillance, Epidemiology, and End Results databases. Patients were categorized into the breast-conserving surgery (BCS) group and the total mastectomy (TM) group, and further divided by the number of positive lymph nodes (LNs).
Lancet Reg Health Eur
December 2024
World Health Organization Regional Office for Europe, Denmark.
Background: Understanding COVID-19 vaccine effectiveness (VE) in preventing severe disease is critical to inform vaccine policy. We used the test-negative design to estimate VE against SARS-CoV-2-confirmed hospitalisation in adults ≥18 years in the eastern WHO European Region.
Methods: We included patients hospitalised for severe acute respiratory infection (SARI) at sentinel surveillance sites in Albania, Georgia, Kyrgyzstan, North Macedonia, Serbia, and in Kosovo.
J Family Med Prim Care
November 2024
Department of Community Medicine, Government Medical College, Surat, Gujarat, India.
Context: Chikungunya's resurgence highlights reporting and awareness challenges.
Aims: To analyze trends in 170 laboratory-confirmed Chikungunya cases in Urban Surat's Central Sentinel Surveillance (2016-2020), supplemented by a subset (n = 30) examining perceptions, attitudes, and risk reduction practices based on notification level.
Results: Notification rates peaked in 2017 (1.
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