Performance Assessment of a Communicable Disease Surveillance System in Response to the Twin Earthquakes of East Azerbaijan

2015 ◽  
Vol 9 (4) ◽  
pp. 367-373 ◽  
Author(s):  
Javad Babaie ◽  
Ali Ardalan ◽  
Hasan Vatandoost ◽  
Mohammad Mehdi Goya ◽  
Ali Akbari Sari
Keyword(s):  
Data Quality ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
Disease Surveillance System ◽  
Health Authorities ◽  
Control And Prevention ◽  
Set Up ◽  
East Azerbaijan

AbstractObjectiveFollowing the twin earthquakes on August 11, 2012, in the East Azerbaijan province of Iran, the provincial health center set up a surveillance system to monitor communicable diseases. This study aimed to assess the performance of this surveillance system.MethodsIn this quantitative-qualitative study, performance of the communicable diseases surveillance system was assessed by using the updated guidelines of the Centers for Disease Control and Prevention (CDC). Qualitative data were collected through interviews with the surveillance system participants, and quantitative data were obtained from the surveillance system.ResultsThe surveillance system was useful, simple, representative, timely, and flexible. The data quality, acceptability, and stability of the surveillance system were 65.6%, 10.63%, and 100%, respectively. The sensitivity and positive predictive value were not calculated owing to the absence of a gold standard.ConclusionsThe surveillance system satisfactorily met the goals expected for its setup. The data obtained led to the control of communicable diseases in the affected areas. Required interventions based on the incidence of communicable disease were designed and implemented. The results also reassured health authorities and the public. However, data quality and acceptability should be taken into consideration and reviewed for implementation in future disasters. (Disaster Med Public Health Preparedness. 2015;9:367–373)

scholarly journals From epidemiological surveillance to European integration

1999 ◽  
Vol 4 (9) ◽  
pp. 91-91
Author(s):  
F Tissot
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Communicable Disease ◽  
Epidemiological Surveillance ◽  
National Surveillance ◽  
Control Potential ◽  
Disease Surveillance System ◽  
Set Up ◽  
And Control ◽  
National Surveillance System

Between March and June 1999, 442 000 Kosovar refugees arrived in Albania. The national surveillance system was unprepared for this and an emergency communicable disease surveillance system was set up to detect and control potential outbreaks among the ref

scholarly journals Disease Surveillance System of Bangladesh: Combating Public Health Emergencies

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohammed Husain ◽  
Mahmudur Rahman ◽  
Asm Alamgir ◽  
M. Salim Uzzaman ◽  
Meerjady Sabrina Flora
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Communicable Disease ◽  
Control Unit ◽  
Communicable Diseases ◽  
Health Facilities ◽  
Surveillance Data ◽  
Public Health Emergencies ◽  
Disease Surveillance System

Objectivea) To observe trends and patterns of diseases of public health importance and responseb) To predict, prevent, detect, control and minimize the harm caused by public health emergenciesc) To develop evidence for managing any future outbreaks, epidemic and pandemicIntroductionDisease surveillance is an integral part of public health system. It is an epidemiological method for monitoring disease patterns and trends. International Health Regulation (IHR) 2005 obligates WHO member countries to develop an effective disease surveillance system. Bangladesh is a signatory to IHR 2005. Institute of Epidemiology, Disease Control and Research (IEDCR <www.iedcr.gov.bd>) is the mandated institute for surveillance and outbreak response on behalf of Government of the People’s Republic of Bangladesh. The IEDCR has a good surveillance system including event-based surveillance system, which proved effective to manage public health emergencies. Routine disease profile is collected by Management Information System (MIS) of Directorate General of Health Services (DGHS). Expanded Program of Immunization (EPI) of DGHS collect surveillance data on EPI-related diseases. Disease Control unit, DGHS is responsible for implementing operational plan of disease surveillance system of IEDCR. The surveillance system maintain strategic collaboration with icddrr,b.MethodsThe IEDCR is conducting disease surveillance in several methods and following several systems. Surveillance data of priority communicable disease are collected by web based integrated disease surveillance. It is based on weekly data received from upazilla (sub-district) health complex on communicable disease marked as priority. They are: acute watery diarrhea, bloody dysentery, malaria, kala-azar, tuberculosis, leprosy, encephalitis, any unknown disease. Government health facilities at upazilla (sub-district) send the data using DHIS2. During outbreak, daily, even hourly reporting is sought from the concerned unit.Moreover, IEDCR conducts disease specific specialized surveillance systems. Data from community as well as from health facilities are collected for Influenza, nipah, dengue, HIV, cholera, cutaneous anthrax, non-communicable diseases, food borne illness. Data from health facilities are collected for antimicrobial resistance, rotavirus and intussusception, reproductive health, child health and mortality, post MDA-surveillance for lymphatic filariasis transmission, molecular xenomonitoring for detection of residual Wucheria bancrofti, dengue (virological), emerging zoonotic disease threats in high-risk interfaces, leptospirosis, acute meningo-encephalitis syndrome (AMES) focused on Japanese encephalitis and nipah, unintentional acute pesticide poisoning among young children. Data for event based surveillance are collected from usual surveillance system as well as from dedicated hotlines (24/7) of IEDCR, media monitoring, and any informal reporting.Case detection is done by syndromic surveillance, laboratory diagnosed surveillance, media surveillance, hotline, cell phone-based surveillance. Dissemination of surveillance is done by website of IEDCR, periodic bulletins, seminar, conference etc. Line listing are done by rapid response teams working in the surveillance sites. Demographic information and short address are listed in the list along with clinical and epidemiological information. Initial cases are confirmed by laboratory test, if required from collaborative laboratory at US CDC (Atlanta). When the epidemiological trend is clear, then subsequent cases are detected by symptoms and rapid tests locally available.ResultsIn 2017, 26 incidents of disease outbreak were investigated by National Rapid Response Team (NRRT) of IEDCR. In the same year, 12 cases of outbreak of unknown disease was investigated by NRRT of IEDCR at different health facilities. Joint surveillance with animal health is being planned for detection and managing zoonotic disease outbreaks, following One Health principles. Department of Livestock, Ministry of Environment and icddrb are partners of the joint surveillance based on One Health principles.Disease Control unit of DGHS, district and upazilla health managers utilizes the disease surveillance data for public health management. They analyze also the surveillance data at their respective level to serve their purpose.ConclusionsA robust surveillance is necessary for assessing the public health situation and prompt notification of public health emergency. The system was introduced at IEDCR mainly for malaria and diarrhea control during establishment of this institute. Eventually the system was developed for communicable disease, and recently for non-communicable diseases. It is effectively used for managing public health emergencies. Notification and detection of public health emergency is mostly possible due to media surveillance.Data for syndromic surveillance for priority communicable diseases is often not sent timely and data quality is often compromised. Tertiary hospitals are yet to participate in the web based integrated disease surveillance system for priority communicable diseases. But they are part of specialized disease surveillances. Data from specialized surveillance with laboratory support is of high quality.Evaluation of the system by conducting research is recommended to improve the system. Specificity and sensitivity of case detection system should also be tested periodically.ReferencesCash, Richard A, Halder, Shantana R, Husain, Mushtuq, Islam, Md Sirajul, Mallick, Fuad H, May, Maria A, Rahman, Mahmudur, Rahman, M Aminur. Reducing the health effect of natural hazards in Bangladesh. Lancet, The, 2013, Volume 382, Issue 9910IEDCR. At the frontline of public health. updated 2013. www.iedcr.gov.bdAo TT, Rahman M et al. Low-Cost National Media-Based Surveillance System for Public Health Events, Bangladesh. Emerging Infectious Diseases. Vol 22, No 4. 2016.<www.iedcr.gov.bd> accessed on 1 Oct 2018. 

scholarly journals HL7 Terminology Management for Disease Surveillance

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Emily Roberts ◽  
Theron Jeppson ◽  
Rachelle Boulton ◽  
Josh Ridderhoff
Keyword(s):  
Disease Surveillance ◽  
Communicable Disease ◽  
Laboratory Data ◽  
Data Entry ◽  
High Volume ◽  
Electronic Data ◽  
Disease Surveillance System ◽  
Department Of Health ◽  
Message Structure ◽  
Set Up

Objective: The objective of this abstract is to illustrate how the Utah Department of Health processes a high volume of electronic data. We do this by translating what reporters send within an HL7 message into "epidemiologist" language for consumption into our disease surveillance system.Introduction: In 2013, the Utah Department of Health (UDOH) began working with hospital and reference laboratories to implement electronic laboratory reporting (ELR) of reportable communicable disease data. Laboratories utilize HL7 message structure and standard terminologies such as LOINC and SNOMED to send data to UDOH. These messages must be evaluated for validity, translated, and entered into Utah’s communicable disease surveillance system (UT-NEDSS), where they can be accessed by local and state investigators and epidemiologists. Despite the development and use of standardized terminologies, reporters may use different, outdated versions of these terminologies, may not use the appropriate codes, or may send local, home-grown terminologies. These variations cause problems when trying to interpret test results and automate data processing. UDOH has developed a two-step translation process that allows us to first standardize and clean incoming messages, and then translate them for consumption by UT-NEDSS. These processes allow us to efficiently manage several different terminologies and helps to standardize incoming data, maintain data quality, and streamline the data entry process.Methods: UDOH uses the Electronic Message Staging Area (EMSA) to receive ELR messages, manage terminologies such as LOINC and SNOMED, translate messages, and automatically enter laboratory data into UT-NEDSS. LOINCs and other terms, such as facility name, sent by reporting facilities in an HL7 message are considered child terms. All child terms are mapped to a master LOINC or term and each master LOINC or term is mapped to a specific value within UT-NEDSS. In EMSA, the rules engine used for automated processing of electronic data is set to run at the master level and these rules will determine how the message is processed. No rules are set up or run on child terms.Results: As of 09/20/2017, EMSA contains 2,613 unique child LOINCs that are mapped to 906 master LOINCs. Those 906 master LOINCs are mapped to 179 UT-NEDSS test types and 2003 child facility names are mapped to 1043 master facility namesConclusions: Mapping child terminologies from an HL7 message to a master vocabulary helps us to standardize incoming data, allows us to accept non-standard terminologies and correct reporting errors. Translating this data into a format that is understandable to epidemiologists and investigators enables UT-NEDSS to work effectively in identifying outbreaks and improving health outcomes. This framework is working for ELR and will continue to grow and accept more data and the different terminologies that come with that.

scholarly journals Endemic Melioidosis in Southern China: Past and Present

2019 ◽  
Vol 4 (1) ◽  
pp. 39 ◽  
Author(s):  
Xiao Zheng ◽  
Qianfeng Xia ◽  
Lianxu Xia ◽  
Wei Li
Keyword(s):  
Disease Surveillance ◽  
Burkholderia Pseudomallei ◽  
Southern China ◽  
Communicable Disease ◽  
Management Strategies ◽  
Mainland China ◽  
Comprehensive Overview ◽  
Social Burden ◽  
Disease Surveillance System ◽  
Health Authorities

Melioidosis is a severe tropical infectious disease caused by the soil-dwelling bacterium Burkholderia pseudomallei, predominantly endemic to Southeast Asia and northern Australia. Between the 1970s and the 1990s, the presence of B. pseudomallei causing melioidosis in humans and other animals was demonstrated in four coastal provinces in southern China: Hainan, Guangdong, Guangxi, and Fujian, although indigenous cases were rare and the disease failed to raise concern amongst local and national health authorities. In recent years, there has been a rise in the number of melioidosis cases witnessed in the region, particularly in Hainan. Meanwhile, although China has established and maintained an effective communicable disease surveillance system, it has not yet been utilized for melioidosis. Thus, the overall incidence, social burden and epidemiological features of the disease in China remain unclear. In this context, we present a comprehensive overview of both historical and current information on melioidosis in Southern China, highlighting the re-emergence of the disease in Hainan. Surveillance and management strategies for melioidosis should be promoted in mainland China, and more research should be conducted to provide further insights into the present situation.

scholarly journals Evaluation of Buruli Ulcer Disease Surveillance System in the Ga West Municipality, Ghana, 2011–2015

2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
Tanko Rufai ◽  
Enoch Aninagyei ◽  
Samuel Oko Sackey ◽  
Ernest Kenu ◽  
Edwin Andrew Afari
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Neglected Tropical Diseases ◽  
Buruli Ulcer ◽  
Control Program ◽  
Mycobacterium Ulcerans ◽  
Ulcer Disease ◽  
Disease Surveillance System ◽  
Key Stakeholders ◽  
Control And Prevention

Background. Buruli ulcer (BU) is one of the most neglected tropical diseases caused by Mycobacterium ulcerans. M. ulcerans infection may manifest initially as a pre-ulcerative nodule, a plaque, or oedema which breaks down to form characteristic ulcers with undermined edges. The Ga West Municipality is an endemic area for Buruli ulcer, and we evaluated the BU surveillance system to determine whether the system is meeting its objectives and to assess its attributes. Materials and Methods. We used a checklist based on Centers for Disease Control and Prevention (CDC) updated surveillance evaluation guidelines, 2006. We reviewed records and dataset on Buruli ulcer for the period 2011–2015. The evaluation was carried out at the national, regional, district, and community levels using the Ga West Municipality of the Greater Accra Region as a study site. Interviews with key stakeholders at the various levels were done using an interview guide, and observations were done with a checklist. Data were entered and analyzed using Epi info 7. Results. A total of 594 cases of Buruli ulcer were reported from 2011 to 2015 in Ga West. The number of confirmed cases decreased from 109 in 2011 to 17 in 2015. The system was useful, fairly simple, flexible, representative, and fairly acceptable. The system was sensitive with a PVP of 45.3%. Although the data quality was good with 85% of case report forms completed, there was under-reporting (3.6%), some discrepancies of data at the district, regional, and national levels. The system was moderately stable, and timeliness of reporting was 30.7%. Conclusion. The Buruli ulcer surveillance system is meeting its set objectives, and the data generated are used to reliably describe the epidemiologic situation and evaluate the results for actions and plan future interventions. There is a need for timely submission of data. We recommend that the National Buruli Ulcer Control Program (NBUCP) provides logistical support to treatment centres.

scholarly journals Evaluation of the Michigan Disease Surveillance System for Histoplasmosis Reporting

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Veronica A. Fialkowski ◽  
Leigh M. Tyndall Snow ◽  
Kimerbly Signs ◽  
Mary Grace Stobierski
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Surveillance Systems ◽  
Disease Surveillance System ◽  
Increasing Trend ◽  
Control And Prevention ◽  
Over Time

The histoplasmosis surveillance system was evaluated using the 2001Centers for Disease Control and Prevention Updated Guidelines for Evaluating Public Health Surveillance Systems. From 2004 to 2014, a total of 1,608 confirmed or probable cases were reported into MDSS, with a slight increasing trend in case numbers over time. Michigan’s histoplasmosis surveillance system is relatively simple, but the misclassification of cases is troublesome. Development of tools for LHDs to aid in classification of cases may improve the PPV and decrease case investigation time. Increasing the number of hospitals that report directly to MDSS would indicate more acceptability, and increase sensitivity.

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