scholarly journals Enhancing Disease Surveillance Event Communication among Jurisdictions

2009 ◽  
Vol 2 ◽  
pp. BII.S3523
Author(s):  
Nathaniel R. Tabernero ◽  
Wayne A. Loschen ◽  
Joel Jorgensen ◽  
Joshua Suereth ◽  
Jacqueline S. Coberly ◽  
...  

Automated disease surveillance systems are becoming widely used by the public health community. However, communication among non-collocated and widely dispersed users still needs improvement. A web-based software tool for enhancing user communications was completely integrated into an existing automated disease surveillance system and was tested during two simulated exercises and operational use involving multiple jurisdictions. Evaluation of this tool was conducted by user meetings, anonymous surveys, and web logs. Public health officials found this tool to be useful, and the tool has been modified further to incorporate features suggested by user responses. Features of the automated disease surveillance system, such as alerts and time series plots, can be specifically referenced by user comments. The user may also indicate the alert response being considered by adding a color indicator to their comment. The web-based event communication tool described in this article provides a common ground for collaboration and communication among public health officials at different locations.

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):  
Mehnaz Adnan ◽  
Xiaoying Gao ◽  
Xiaohan Bai ◽  
Elizabeth Newbern ◽  
Jill Sherwood ◽  
...  

BACKGROUND Over one-third of the population of Havelock North, New Zealand, approximately 5500 people, were estimated to have been affected by campylobacteriosis in a large waterborne outbreak. Cases reported through the notifiable disease surveillance system (notified case reports) are inevitably delayed by several days, resulting in slowed outbreak recognition and delayed control measures. Early outbreak detection and magnitude prediction are critical to outbreak control. It is therefore important to consider alternative surveillance data sources and evaluate their potential for recognizing outbreaks at the earliest possible time. OBJECTIVE The first objective of this study is to compare and validate the selection of alternative data sources (general practice consultations, consumer helpline, Google Trends, Twitter microblogs, and school absenteeism) for their temporal predictive strength for Campylobacter cases during the Havelock North outbreak. The second objective is to examine spatiotemporal clustering of data from alternative sources to assess the size and geographic extent of the outbreak and to support efforts to attribute its source. METHODS We combined measures derived from alternative data sources during the 2016 Havelock North campylobacteriosis outbreak with notified case report counts to predict suspected daily Campylobacter case counts up to 5 days before cases reported in the disease surveillance system. Spatiotemporal clustering of the data was analyzed using Local Moran’s I statistics to investigate the extent of the outbreak in both space and time within the affected area. RESULTS Models that combined consumer helpline data with autoregressive notified case counts had the best out-of-sample predictive accuracy for 1 and 2 days ahead of notified case reports. Models using Google Trends and Twitter typically performed the best 3 and 4 days before case notifications. Spatiotemporal clusters showed spikes in school absenteeism and consumer helpline inquiries that preceded the notified cases in the city primarily affected by the outbreak. CONCLUSIONS Alternative data sources can provide earlier indications of a large gastroenteritis outbreak compared with conventional case notifications. Spatiotemporal analysis can assist in refining the geographical focus of an outbreak and can potentially support public health source attribution efforts. Further work is required to assess the location of such surveillance data sources and methods in routine public health practice.


2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Donald E. Brannen ◽  
Melissa Branum ◽  
Amy Schmitt

ObjectiveImprove disease reporting and outbreak mangement.IntroductionSpecific communicable diseases have to be reported by law withina specific time period. In Ohio, prior to 2001, most of these diseasereports were on paper reports that were reported from providers tolocal health departments. In turn the Communicable Disease Nursemailed the hardcopies to the Ohio Department of Health (ODH).In 2001 the Ohio Disease Reporting System (ODRS) was rolled out toall local public health agencies in Ohio.1ODRS is Ohio’s portion ofthe National Electronic Disease Surveillance System. ODRS shouldnot be confused with syndromic surveillance systems that are fordetecting a disease outbreak before the disease itself is detected.2Chronic disease surveillance system data has been evaluated forlong term trends and potential enhancements.3However, the use ofcommunicable disease reports vary greatly.4 However, the exportdata has not routinely been used for quality improvement purposesof the disease reporting process itself. In December 2014, GreeneCounty Public Health (GCPH) begain a project to improve reportingof communicable diseases and the response to disease outbreaks.MethodsInitial efforts were to understand the current disease reportingprocess: Quantitative management techniques including creating alogic model and process map of the existing process, brainstormingand ranking of issues. The diseases selected to study included:Campylobacteriosis, Cryptosporidiosis, E. coli O157:H7 &shiga toxin-producing E. coli, Giardiasis, Influenza-associatedhospitalization, Legionnaires’ disease, Pertussis, Salmonellosis,and Shigellosis. The next steps included creating a data collectionand analysis plan. An updated process map was created and thepre- and post-process maps were compared to identify areas toimprove. The median number of days were compared before andafter improvements were implemented. Modeling of the impact ofthe process improvements on the median number of days reportedwas conducted. Estimation of the impact in healthy number of daysderived from the reduction in days to report (if any) were calculated.ResultsProcess improvements identified: Ensure all disease reportersuse digital reporting methods preferably starting with electroniclaboratory reporting directly to the online disease reporting system,with other methods such as direct web data entry into system, faxinglab reports, orsecure emailing reports, with no or little hard copy mailing;Centralize incoming email and fax reports (eliminating process steps);Standardize backup staffing procedures for disease reporting staff;Formalize incident command procedures under the authorized personin charge for every incident rather than distribute command betweenenvironmental and clinical services; and place communicable diseasereporting under that single authority rather than clinical services. Thedays to report diseases were reduced from a median of 2 to .5 days(p<.001). All the diseases were improved except for crytosporodiumdue to an outlier report two months late. The estimated societalhealthy days saved were valued at $52,779 in the first eight monthsafter implementation of the improvements.ConclusionsImprovements in disease reporting decreased the reporting timefrom over 2 days to less than 1 day on average. Estimated societalhealthy days saved by this project during the first 9 months was$52,779. Management of early command and control for outbreakresponse was improved.


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.


10.2196/18281 ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e18281
Author(s):  
Mehnaz Adnan ◽  
Xiaoying Gao ◽  
Xiaohan Bai ◽  
Elizabeth Newbern ◽  
Jill Sherwood ◽  
...  

Background Over one-third of the population of Havelock North, New Zealand, approximately 5500 people, were estimated to have been affected by campylobacteriosis in a large waterborne outbreak. Cases reported through the notifiable disease surveillance system (notified case reports) are inevitably delayed by several days, resulting in slowed outbreak recognition and delayed control measures. Early outbreak detection and magnitude prediction are critical to outbreak control. It is therefore important to consider alternative surveillance data sources and evaluate their potential for recognizing outbreaks at the earliest possible time. Objective The first objective of this study is to compare and validate the selection of alternative data sources (general practice consultations, consumer helpline, Google Trends, Twitter microblogs, and school absenteeism) for their temporal predictive strength for Campylobacter cases during the Havelock North outbreak. The second objective is to examine spatiotemporal clustering of data from alternative sources to assess the size and geographic extent of the outbreak and to support efforts to attribute its source. Methods We combined measures derived from alternative data sources during the 2016 Havelock North campylobacteriosis outbreak with notified case report counts to predict suspected daily Campylobacter case counts up to 5 days before cases reported in the disease surveillance system. Spatiotemporal clustering of the data was analyzed using Local Moran’s I statistics to investigate the extent of the outbreak in both space and time within the affected area. Results Models that combined consumer helpline data with autoregressive notified case counts had the best out-of-sample predictive accuracy for 1 and 2 days ahead of notified case reports. Models using Google Trends and Twitter typically performed the best 3 and 4 days before case notifications. Spatiotemporal clusters showed spikes in school absenteeism and consumer helpline inquiries that preceded the notified cases in the city primarily affected by the outbreak. Conclusions Alternative data sources can provide earlier indications of a large gastroenteritis outbreak compared with conventional case notifications. Spatiotemporal analysis can assist in refining the geographical focus of an outbreak and can potentially support public health source attribution efforts. Further work is required to assess the location of such surveillance data sources and methods in routine public health practice.


Author(s):  
Manish Kumar Dwivedi ◽  
Suvashish Kumar Pandey ◽  
Prashant Kumar Singh

To guard people against some grave infectious disease, the surveillance system is a key performance measure of global public health threats and vulnerability. The diseases surveillance system helps in public health monitor, control, and prevent infectious diseases. Infectious diseases remain major causes of death. It's important to monitor and surveillance worldwide for developing a framework for risk assessment and health regulation. Surveillance systems help us in understanding the factors driving infectious disease and developing new technological aptitudes with modeling, pathogen determination, characterization, diagnostics, and communications. This chapter discussed surveillance system working, progress toward global public healthy society considering perspectives for the future and improvement of infectious disease surveillance without limited and fragmented capabilities, and making even global coverage.


2016 ◽  
pp. 418-436
Author(s):  
Maulilio J. Kipanyula ◽  
Camilius Aloyce Sanga ◽  
Anna M. Geofrey ◽  
Kadeghe G. Fue

Rabies is a neurodegerative viral zoonotic disease that affects all warm blooded animals. It is estimated that about 99% of human rabies cases are caused by dog bites. High prevalence of rabies has been reported in different parts of Tanzania. The disease has continued to cause public health threat to the communities due to weak passive and active surveillance systems. The data piloted in this study was based on the information gathered from Kilosa district. The geo information collected was used to develop a geospatial based system that can easily show the hotspots of rabies. The use of WEB GIS is likely to strengthen disease surveillance in Kilosa and other Districts of Tanzania. This approach offers a model for sharing both human and animal diseases surveillance information. Adoption of this approach is likely to increase awareness and timely response to rabies incidences.


Author(s):  
T. Takeda ◽  
M. Kitajima ◽  
N. T. T. Huong ◽  
A. S. Setiyawan ◽  
T. Setiadi ◽  
...  

Abstract This mini review describes the current status and challenges regarding institutionalisation of wastewater surveillance systems against COVID-19. Monitoring SARS-CoV-2 in wastewater has been proposed to be a potential tool to understand the actual prevalence of COVID-19 in the community, and it could be an effective approach to monitor the trend during the COVID-19 pandemic. However, challenges to institutionalise wastewater surveillance systems are still abundant and unfolding at a rapid rate given that the international understanding regarding the scientific knowledge and socio-political impacts of COVID-19 are in the developing stages. To better understand the existing challenges and bottlenecks, a comparative study between Japan, Viet Nam, and Indonesia was carried out in the present study. Through gaining a better understanding of common issues as well as issues specific to each country, we hope to contribute to building a robust multistakeholder system to monitor SARS-CoV-2 in wastewater as an effective disease surveillance system for COVID-19.


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