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

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.

2021 ◽  
Author(s):  
Alex Riolexus Ario ◽  
Emily Atuheire Barigye ◽  
Innocent Harbert Nkonwa ◽  
Jimmy Ogwal ◽  
Denis Nixon Opio ◽  
...  

Abstract BackgroundCivil wars in the Great Lakes region resulted in massive displacement of people to neighboring countries including Uganda, with associated humanitarian emergencies. Appropriate disease surveillance enables timely detection and response to outbreaks. We describe evaluation of the public health surveillance system in refugee settlements in Uganda and document lessons learnt.MethodsWe conducted a cross-sectional survey using the US CDC Updated Guidelines for Evaluating Public Health Surveillance Systems in four refugee settlements in Uganda i.e., Bidibidi, Adjumani, Kiryandongo and Rhino Camp. Using semi-structured questionnaires, key informant and focus group discussion guides, we interviewed health facility in-charges, key personnel and village health teams from 4 districts, 53 health facilities and 112 villages.ResultsAll health facilities assessed had key surveillance staff; 60% were trained on IDSR and most village health teams were trained on disease surveillance. Case detection was at 55%; facilities lacked standard case definitions (SCDs) and were using parallel Implementing Partner (IP) driven reporting system. Recording was at 79% and reporting was at 81%. Data analysis and interpretation was at 49%. Confirmation of outbreaks and events was at 76%. Preparedness was at 72% and response was at 34%. Feedback was at 82%. Recording, reporting, preparedness, feedback and confirmation of outbreaks and events were highly achieved, and capacity to evaluate and improve the system was moderately achieved. There were low scores in capacity to detect, respond and analyse data.ConclusionPublic health surveillance system had high sensitivity, timeliness and predictive value positive. It was simple, acceptable with fair data quality attributes. It was less flexible, less stable with low representativeness. The system had good recording, reporting, preparedness, feedback and confirmation of outbreaks and events. The capacity for detection, response and data analysis and interpretation was low. Lessons learnt were: IPs offer tremendous support to surveillance; training of surveillance staff on IDSR maintains effective surveillance functions; supplies of tools, personnel etc. should be planned and executed; functionalization of district teams ensures achievement of surveillance functions and attributes; regular support supervision of health facilities necessary; harmonization of reporting improves surveillance functions and attributes; appropriation of funds to districts to support refugee settlements is complementary.


2020 ◽  
Vol 44 ◽  
Author(s):  
Jason A Roberts ◽  
Linda K Hobday ◽  
Aishah Ibrahim ◽  
Bruce R Thorley

Australia monitors its polio-free status by conducting surveillance for cases of acute flaccid paralysis (AFP) in children less than 15 years of age, as recommended by the World Health Organization (WHO). Cases of AFP in children are notified to the Australian Paediatric Surveillance Unit or the Paediatric Active Enhanced Disease Surveillance System and faecal specimens are referred for virological investigation to the National Enterovirus Reference Laboratory. In 2017, no cases of poliomyelitis were reported from clinical surveillance and Australia reported 1.33 non-polio AFP cases per 100,000 children, meeting the WHO performance criterion for a sensitive surveillance system. Three non-polio enteroviruses, coxsackievirus B1, echovirus 11 and enterovirus A71, were identified from clinical specimens collected from AFP cases. Australia established enterovirus and environmental surveillance systems to complement the clinical system focussed on children and an ambiguous vaccine-derived poliovirus type 2 was isolated from sewage in Melbourne. In 2017, 22 cases of wild polio were reported with three countries remaining endemic: Afghanistan, Nigeria and Pakistan.


2020 ◽  
Author(s):  
Falaho Sani ◽  
Mohammed Hasen ◽  
Mohammed Seid ◽  
Nuriya Umer

Abstract Background: Public health surveillance systems should be evaluated periodically to ensure that the problems of public health importance are being monitored efficiently and effectively. Despite the widespread measles outbreak in Ginnir district of Bale zone in 2019, evaluation of measles surveillance system has not been conducted. Therefore, we evaluated the performance of measles surveillance system and its key attributes in Ginnir district, Southeast Ethiopia.Methods: We conducted a concurrent embedded mixed quantitative/qualitative study in August 2019 among 15 health facilities/study units in Ginnir district. Health facilities are selected using lottery method. The qualitative study involved purposively selected 15 key informants. Data were collected using semi-structured questionnaire adapted from Centers for Disease Control and Prevention guidelines for evaluating public health surveillance systems through face-to-face interview and record review. The quantitative findings were analyzed using Microsoft Excel 2016 and summarized by frequency and proportion. The qualitative findings were narrated and summarized based on thematic areas to supplement the quantitative findings.Results: The structure of surveillance data flow was from the community to the respective upper level. Emergency preparedness and response plan was available only at the district level. Completeness of weekly report was 95%, while timeliness was 87%. No regular analysis and interpretations of surveillance data, and the supportive supervision and feedback system was weak. The participation and willingness of surveillance stakeholders in implementation of the system was good. The surveillance system was found to be useful, easy to implement, representative and can accommodate and adapt to changing conditions. Report documentation and quality of data was poor at lower level health facilities. Stability of the system has been challenged by shortage of budget and logistics, staff turnover and lack of update trainings.Conclusions: The surveillance system was acceptable, useful, simple, flexible and representative. Data quality, timeliness and stability of the system were attributes that require improvement. The overall performance of measles surveillance system in the district was poor. Hence, regular analysis of data, preparation and dissemination of epidemiological bulletin, capacity building and regular supervision and feedback are recommended to enhance performance of the system.


2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Rhonda A. Lizewski ◽  
Howard Burkom ◽  
Joseph Lombardo ◽  
Christopher Cuellar ◽  
Yevgeniy Elbert ◽  
...  

While other surveillance systems may only use death and admissions as severity indicators, these serious events may overshadow the more subtle severity signals based on appointment type, disposition from an outpatient setting, and whether that patient had to return for care if they their condition has not improved.  This abstract discusses how these additional data fields were utilized in a fusion model to improve the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE).


Author(s):  
Moise C. Ngwa ◽  
Song Liang ◽  
Leonard Mbam ◽  
Mouhaman Arabi ◽  
Andrew Teboh ◽  
...  

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.


2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
Tanko Rufai ◽  
Enoch Aninagyei ◽  
Samuel Oko Sackey ◽  
Ernest Kenu ◽  
Edwin Andrew Afari

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.


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Hayat Khogali ◽  
Ngozi A. Erondu ◽  
Betiel H. Haile ◽  
Scott J. McNabb

A recent assessment of the Sudan public health surveillance system found fragmented and siloed disease programs and an overburdened workforce due to vertical systems and inefficient processes. A plan of action was developed to support improving public health surveillance strengthening by: 1) implementing a strategic approach to achieving IHR (2005), 2) implementing One Health and IDSR aims, and 3) establishing an E-surveillance ICT platform for increasing public health surveillance capacity to safely and rapidly detect and report infectious diseases in Sudan.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Peter Hicks

Colleagues,I am delighted to present to you the summary abstracts and presentations from the 2019 International Society of Disease Surveillance (ISDS) Conference which was held San Diego, CA from January 30th – February 2nd, 2019.  Over the past several years, the concept of investing in data science and data scientists has been touted as a transformational endeavor for governmental organizations, non-profits, as well as private sector and commercial markets. How “true” data science is harnessed to influence and improve public health surveillance and population health remains to be seen. Data science has great potential to provide a new lens to inform and improve public health surveillance and population health. However, this lens needs to focus upon more than just “Big Data” analytics and information technology. It must also focus on fostering organizational environments and multi-agency collaborations that invigorate curiosity and experimentation and development of cross-disciplinarian partnerships to address multifactorial and multidimensional health and disparity challenges. It also must hone in on producing evidence-based analytic results to improve measurable health outcomes. Analysis and summary results are not the end products for surveillance. The concept of data science needs to be leveraged across public health to better communicate the findings of disease surveillance through the “storytelling of illness and disease” to influence public health policy, and ultimately improve population health.This year, with these ideas in mind, and with the support of a dynamic, engaged, and multi-disciplinary Scientific Planning Committee (SPC) - ISDS has expanded its conference scope beyond traditional tracks which historically focused on surveillance, informatics, and analysis, to include tracks related to:One HealthNon – Human Health SurveillanceEcologyCommunications, Medical Rhetoric, Visualization, and ReportingChronic Disease / Mental HealthSubstance AbuseData QualityInjury SurveillanceSubstance Abuse – Opioid SurveillanceRecognizing that Public Health is a collaborative and multi-disciplinary team sport, we have expanded our outreach efforts to include new partners across academia, the private sector, state, local, and tribal partners, as well as federal agencies.  During the 2019 ISDS Conference, we had a significant increase in overall attendance (~375) and abstracts submissions compared to prior years; with 29 countries represented and 130 oral presentations and 95 poster presentations provided over the three-day conference.   We held a number of sessions on Opioid Use and Prescribing Surveillance as well as Medical Rhetoric, Communications, and Visualization that were standing-room only and beyond.Our keynote speakers on the intersection of Data Science and Public Health included: William J. Kassler, MD, MPH, IBM Watson Health – Deputy Chief Health OfficerWilma J. Wooten, MD, MPH, Public Health Officer for the County of San DiegoMichael Hogarth, MD, FACP, FACMI, Chief Clinical Research Information Officer for University of California San Diego HealthSome of the key take-aways from the presentations at the 2019 ISDS Conference were that data science and the act of data collections and analysis are NOT the end goals of public health surveillance; they are just the beginning.  Data do NOT speak for themselves; they require context, curation, interpretation, and ultimately need to effectively communicating findings through the story telling of illness and disease to officials, policy makers, and the public with the objective to inform and influence public health policy, motivate health behavior change, drive public health action, and ultimately improve population health.I encourage you to review the abstracts submitted here in the Online Journal of Public Health Informatics which were presented at the 2019 International Society for Disease Surveillance 2019 Conference and to engage multi-dimensional and multi-disciplinary conversations (reach out directly to authors and presenters) around these important topics, expand your networks and opportunities in the public health community. Regards,Peter Hicks, MA, MPHScientific Program Chair International Society for Disease Surveillance (ISDS) 2019Centers for Disease Control and Prevention**Information included in this statement are those of the author and do not represent the official position of the Centers for Disease Control and Prevention (CDC)


2021 ◽  
Vol 30 (1) ◽  
Author(s):  
Aline Almeida da Silva ◽  
Antonia Maria da Silva Teixeira ◽  
Carla Magda Allan Santos Domingues ◽  
Rui Moreira Braz ◽  
Cibelle Mendes Cabral

Resumo Objetivo Avaliar o Sistema de Vigilância em Imunizações considerando-se o módulo Registro do Vacinado, do Sistema de Informações do Programa Nacional de Imunizações, Brasil, 2017. Métodos Estudo descritivo, utilizando-se do Guidelines for Evaluating Public Health Surveillance Systems, publicado pelo Centers for Disease Control and Prevention (CDC/Atlanta/GA/United States), para avaliar os atributos de simplicidade, flexibilidade, qualidade dos dados, sensibilidade, oportunidade e utilidade do sistema para seis vacinas do calendário de vacinação da criança. Resultados O Sistema de Vigilância em Imunizações foi considerado complexo em sua descrição, flexível às mudanças no calendário vacinal, de baixa qualidade dos dados para as vacinas DTP e rotavírus, de aceitabilidade regular, com alta sensibilidade para a vacina BCG, inoportuno para a vacina contra hepatite B e útil às finalidades do Programa Nacional de Imunizações. Conclusão Qualidade dos dados, aceitabilidade e oportunidade não apresentaram resultados satisfatórios, sendo necessárias ações pelo aprimoramento do sistema de informações.


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