scholarly journals Real-time Laboratory-Based Influenza Surveillance with Xpert Flu

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Andrea Dugas ◽  
Howard Burkom ◽  
Richard Rothman
Keyword(s):  
Public Health ◽  
Real Time ◽  
Surveillance System ◽  
Influenza Surveillance ◽  
Nasopharyngeal Swab ◽  
National Surveillance ◽  
Test Results ◽  
Site Type ◽  
Rapid Pcr ◽  
Surveillance And Response

In order to provide real-time access to influenza test results, we created a laboratory-based surveillance system which automatically uploaded influenza test results from a rapid PCR-based influenza test, Xpert Flu, and the associated testing times and locations. On-site, type-specific results were available to physicians and uploaded for public health awareness within 100 minutes of patient nasopharyngeal swab. Expansion of this real-time capability to sentinel facilities could improve both local and national surveillance and response, reducing the need for syndromic influenza surveillance.

scholarly journals Coding of Electronic Laboratory Reports for Biosurveillance, Selected United States Hospitals, 2011

2015 ◽  
Vol 7 (2) ◽  
Author(s):  
Sanjaya Dhakal ◽  
Sherry L. Burrer ◽  
Carla A. Winston ◽  
Achintya Dey ◽  
Umed Ajani ◽  
...  
Keyword(s):  
Public Health ◽  
Laboratory Test ◽  
No Value ◽  
Laboratory Data ◽  
Test Results ◽  
Snomed Ct ◽  
Syndromic Surveillance System ◽  
Coding Systems ◽  
Surveillance And Response ◽  
Laboratory Test Results

ObjectiveElectronic laboratory reporting has been promoted as a public health priority. The Office of the U.S. National Coordinator for Health Information Technology has endorsed two coding systems: Logical Observation Identifiers Names and Codes (LOINC) for laboratory test orders and Systemized Nomenclature of Medicine-Clinical Terms (SNOMED CT) for test results.  Materials and MethodsWe examined LOINC and SNOMED CT code use in electronic laboratory data reported in 2011 by 63 non-federal hospitals to BioSense electronic syndromic surveillance system.  We analyzed the frequencies, characteristics, and code concepts of test orders and results.ResultsA total of 14,028,774 laboratory test orders or results were reported. No test orders used SNOMED CT codes. To describe test orders, 77% used a LOINC code, 17% had no value, and 6% had a non-informative value, “OTH”. Thirty-three percent (33%) of test results had missing or non-informative codes. For test results with at least one informative value, 91.8% had only LOINC codes, 0.7% had only SNOMED codes, and 7.4% had both. Of 108 SNOMED CT codes reported without LOINC codes, 45% could be matched to at least one LOINC code.ConclusionMissing or non-informative codes comprised almost a quarter of laboratory test orders and a third of test results reported to BioSense by non-federal hospitals. Use of LOINC codes for laboratory test results was more common than use of SNOMED CT. Complete and standardized coding could improve the usefulness of laboratory data for public health surveillance and response.

scholarly journals Cholera Public Health Surveillance System in Cameroon

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Moise C. Ngwa ◽  
Song Liang ◽  
Leonard Mbam ◽  
Mouhaman Arabi ◽  
Andrew Teboh ◽  
...  
Keyword(s):  
Public Health ◽  
Data Analysis ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Public Health Surveillance ◽  
National Level ◽  
Health Surveillance ◽  
Rapid Response ◽  
Surveillance And Response ◽  
Public Health Surveillance System

Public health surveillance is essential for early detection and rapid response to cholera outbreaks. In 2003, Cameroon adopted the integrated disease surveillance and response (IDSR) strategy. We describe cholera surveillance within IDSR-strategy in Cameroon. Data is captured at health facility, forwarded to health district that compiles and directs data to RDPH in paper format. RDPH sends the data to the national level via internet and from there to the WHO. The surveillance system is passive with no data analysis at districts. Thus the goal of IDSR-strategy of data analysis and rapid response at the district has not been met yet.

scholarly journals Bringing real-time geospatial precision to HIV incidence measurements via mobile phones (Preprint)

2018 ◽  
Author(s):  
Alain Placide Nsabimana ◽  
Bernard Uzabakiriho ◽  
Daniel M Kagabo ◽  
Jerome Nduwayo ◽  
Qinyouen Fu ◽  
...  
Keyword(s):  
Public Health ◽  
Mobile Phone ◽  
Real Time ◽  
Mobile Phones ◽  
Healthcare Workers ◽  
Lateral Flow ◽  
Rural Site ◽  
Test Results ◽  
Public Health Response ◽  
Hiv Test

BACKGROUND Precise measurements of HIV incidences at community levels can help mount a more effective public health response, but the most reliable methods currently require labor-intensive population surveys. Novel mobile phone technologies are being tested for adherence to medical appointments and antiretroviral therapy, but using them to track HIV test results with automatically generated geospatial coordinates has not been widely tested. OBJECTIVE We customized a portable reader for interpreting the results of HIV lateral flow tests, and developed a mobile phone app to track HIV test results in urban and rural locations in Rwanda. The objective is to assess the feasibility of this technology to collect frontline HIV test results in real time and with geospatial context to help measure HIV incidences and improve epidemiological surveillance. METHODS 20 healthcare workers used the technology to track the test results of 2290 patients across three hospital sites (two urban sites in Kigali, and a rural site in the Western Province of Rwanda). Smartphones for less than $70 USD each were used. The mobile phone app to record HIV test results could take place without internet connectivity, with uploading of results to the cloud taking place later with internet. RESULTS 92% of HIV test results could be tracked in real time on an online dashboard with geographical resolution down to street resolution. Out of the 20 healthcare workers, 68% would recommend the lateral flow reader, and 100% would recommend the mobile phone app. CONCLUSIONS Mobile phones have the potential to simplify the input of HIV test results with geospatial context and in real time to improve public health surveillance of HIV.

scholarly journals Implementation of Real-Time Laboratory-Based Influenza Surveillance System, Thailand

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Phunlerd Piyaraj ◽  
Nira Pet-hoi ◽  
Chaiyos Kunanusont ◽  
Supanee Sangiamsak ◽  
Somsak Wankijcharoen ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Influenza Virus ◽  
Real Time ◽  
Surveillance System ◽  
Influenza A ◽  
Medical Services ◽  
Influenza Surveillance ◽  
Surveillance Systems ◽  
Private Hospitals ◽  
Influenza A H1n1

Objective: We describe the Bangkok Dusit Medical Services Surveillance System (BDMS-SS) and use of surveillance efforts for influenza as an example of surveillance capability in near real-time among a network of 20 hospitals in the Bangkok Dusit Medical Services group (BDMS).Introduction: Influenza is one of the significant causes of morbidity and mortality globally. Previous studies have demonstrated the benefit of laboratory surveillance and its capability to accurately detect influenza outbreaks earlier than syndromic surveillance.1-3 Current laboratory surveillance has an approximately 4-week lag due to laboratory test turn-around time, data collection and data analysis. As part of strengthening influenza virus surveillance in response to the 2009 influenza A (H1N1) pandemic, the real-time laboratory-based influenza surveillance system, the Bangkok Dusit Medical Services Surveillance System (BDMS-SS), was developed in 2010 by the Bangkok Health Research Center (BHRC). The primary objective of the BDMS-SS is to alert relevant stakeholders on the incidence trends of the influenza virus. Type-specific results along with patient demographic and geographic information were available to physicians and uploaded for public health awareness within 24 hours after patient nasopharyngeal swab was collected. This system advances early warning and supports better decision making during infectious disease events.2 The BDMS-SS operates all year round collecting results of all routinely tested respiratory clinical samples from participating hospitals from the largest group of private hospitals in Thailand.Methods: The BDMS has a comprehensive network of laboratory, epidemiologic, and early warning surveillance systems which represents the largest body of information from private hospitals across Thailand. Hospitals and clinical laboratories have deployed automatic reporting mechanisms since 2010 and have effectively improved timeliness of laboratory data reporting. In April 2017, the capacity of near real-time influenza surveillance in BDMS was found to have a demonstrated and sustainable capability.Results: From October 2010 to April 2017, a total of 482,789 subjects were tested and 86,110 (17.8%) cases of influenza were identified. Of those who tested positive for influenza they were aged <2 years old (4.6%), 2-4 year old (10.9%), 5-14 years old (29.8%), 15-49 years old (41.9%), 50-64 years old (8.3%) and >65 years old (3.7%). Approximately 50% of subjects were male and female. Of these, 40,552 (47.0%) were influenza type B, 31,412 (36.4%) were influenza A unspecified subtype, 6,181 (7.2%) were influenza A H1N1, 4,001 (4.6%) were influenza A H3N2, 3,835 (4.4%) were influenza A seasonal and 196 (0.4%) were respiratory syncytial virus (RSV).The number of influenza-positive specimens reported by the real-time influenza surveillance system were from week 40, 2015 to week 39, 2016. A total of 117,867 subjects were tested and 17,572 (14.91%) cases tested positive for the influenza virus (Figure 1). Based on the long-term monitoring of collected information, this system can delineate the epidemiologic pattern of circulating viruses in near real-time manner, which clearly shows annual peaks in winter dominated by influenza subtype B in 2015-1016 season. This surveillance system helps to provide near real-time reporting, enabling rapid implementation of control measures for influenza outbreaks.Conclusions: This surveillance system was the first real-time, daily reporting surveillance system to report on the largest data base of private hospitals in Thailand and provides timely reports and feedback to all stakeholders. It provides an important supplement to the routine influenza surveillance system in Thailand. This illustrates a high level of awareness and willingness among the BDMS hospital network to report emerging infectious diseases, and highlights the robust and sensitive nature of BDMS’s surveillance system. This system demonstrates the flexibility of the surveillance systems in BDMS to evaluate to emerging infectious disease and major communicable diseases. Through participation in the Thailand influenza surveillance network, BDMS can more actively collaborate with national counterparts and use its expertise to strengthen global and regional surveillance capacity in Southeast Asia, in order to secure advances for a world safe and secure from infectious disease. Furthermore, this system can be quickly adapted and used to monitor future influenzas pandemics and other major outbreaks of respiratory infectious disease, including novel pathogens.

Implementation of Real-Time Laboratory-Based Influenza Surveillance System, a Network of 20 Hospitals in Bangkok Dusit Medical Services Public Company Limited, Thailand

2017 ◽  
Vol 13 (02) ◽  
pp. 1-4
Author(s):  
Phunlerd Piyaraj ◽  
Nira Pet-hoi ◽  
Chaiyos Kunanusont ◽  
Supanee Sangiamsak ◽  
Somsak Wankijcharoen ◽  
...  
Keyword(s):  
Real Time ◽  
Surveillance System ◽  
Medical Services ◽  
Influenza Surveillance ◽  
System A ◽  
Company Limited ◽  
Public Company

scholarly journals Technical Description of RODS: A Real-time Public Health Surveillance System

2003 ◽  
Vol 10 (5) ◽  
pp. 399-408 ◽  
Author(s):  
Fu-Chiang Tsui ◽  
Jeremy U. Espino ◽  
Virginia M. Dato ◽  
Per H. Gesteland ◽  
Judith Hutman ◽  
...  
Keyword(s):  
Public Health ◽  
Real Time ◽  
Surveillance System ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Technical Description ◽  
Public Health Surveillance System

scholarly journals Influenza C virus in pre-school children with respiratory infections: retrospective analysis of data from the national influenza surveillance system in Germany, 2012 to 2014

2019 ◽  
Vol 24 (10) ◽  
Author(s):  
Annemarie Fritsch ◽  
Brunhilde Schweiger ◽  
Barbara Biere
Keyword(s):  
Surveillance System ◽  
Respiratory Infections ◽  
Severe Disease ◽  
Clinical Impact ◽  
Influenza Surveillance ◽  
National Surveillance ◽  
The European Union ◽  
Detection Frequency ◽  
Influenza C Virus ◽  
National Surveillance System

IntroductionRecent data on influenza C virus indicate a possible higher clinical impact in specified patient populations than previously thought.AimWe aimed to investigate influenza C virus circulation in Germany.MethodsA total of 1,588 samples from 0 to 4 year-old children presenting as outpatients with influenza-like illness (ILI) or acute respiratory infection were analysed retrospectively. The samples represented a subset of all samples from the German national surveillance system for influenza in this age group in 2012–14. The presence of influenza C virus was investigated by real-time PCR. For positive samples, information on symptoms as well as other respiratory virus co-infections was considered. Retrieved influenza C viral sequences were phylogenetically characterised.ResultsInfluenza C viral RNA was detected in 20 (1.3% of) samples, including 16 during the 2012/13 season. The majority (18/20) of influenza C-positive patients had ILI according to the European Union definition, one patient had pneumonia. Viruses belonged to the C/Sao Paulo and C/Kanagawa lineages. Most (11/20) samples were co-infected with other respiratory viruses.ConclusionOur data are the first on influenza C virus circulation in Germany and notably from a European national surveillance system. The low detection frequency and the identified virus variants confirm earlier observations outside a surveillance system. More virus detections during the 2012/13 season indicate a variable circulation intensity in the different years studied. Influenza C virus can be considered for ILI patients. Future studies addressing its clinical impact, especially in patients with severe disease are needed.

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