scholarly journals Towards one Africa, one health: The Southern African Centre for Infectious Disease Surveillance One Health focus on infectious diseases

Author(s):  
Mark M. Rweyemamu ◽  
Janusz Paweska ◽  
Dominic Kambarage ◽  
Filomena Namuba
2012 ◽  
Vol 79 (2) ◽  
Author(s):  
Eric Beda

The dynamic nature of new information and/or knowledge is a big challenge for information systems. Early knowledge management systems focused entirely on technologies for storing, searching and retrieving data; these systems have proved a failure. Juirsica and Mylopoulos1 suggested that in order to build effective technologies for knowledge management, we need to further our understanding of how individuals, groups and organisations use knowledge. As the focus on knowledge management for organisations and consortia alike is moving towards a keen appreciation of how deeply knowledge is embedded in people’s experiences, there is a general realisation that knowledge cannot be stored or captured digitally. This puts more emphasis in creating enabling environments for interactions that stimulate knowledge sharing.Our work aims at developing an un-obtrusive intelligent system that glues together effective contemporary and traditional technologies to aid these interactions and manage the information captured. In addition this system will include tools to aid propagating a repository of scientific information relevant to surveillance of infectious diseases to complement knowledge shared and/or acts as a point of reference.This work is ongoing and based on experiences in developing a knowledge network management system for the Southern African Centre of Infectious Disease Surveillance (SACIDS), A One Health consortium of southern African academic and research institutions involved with infectious diseases of humans and animals in partnership with world-renowned centres of research in industrialised countries.


Author(s):  
Esron D. Karimuribo ◽  
Kuya Sayalel ◽  
Eric Beda ◽  
Nick Short ◽  
Philemon Wambura ◽  
...  

Africa has the highest burden of infectious diseases in the world and yet the least capacity for its risk management. It has therefore become increasingly important to search for ‘fit-for- purpose’ approaches to infectious disease surveillance and thereby targeted disease control. The fact that the majority of human infectious diseases are originally of animal origin means we have to consider One Health (OH) approaches which require inter-sectoral collaboration for custom-made infectious disease surveillance in the endemic settings of Africa. A baseline survey was conducted to assess the current status and performance of human and animal health surveillance systems and subsequently a strategy towards OH surveillance system was developed. The strategy focused on assessing the combination of participatory epidemiological approaches and the deployment of mobile technologies to enhance the effectiveness of disease alerts and surveillance at the point of occurrence, which often lies in remote areas. We selected three study sites, namely the Ngorongoro, Kagera River basin and Zambezi River basin ecosystems. We have piloted and introduced the next-generation Android mobile phones running the EpiCollect application developed by Imperial College to aid geo-spatial and clinical data capture and transmission of this data from the field to the remote Information Technology (IT) servers at the research hubs for storage, analysis, feedback and reporting. We expect that the combination of participatory epidemiology and technology will significantly improve OH disease surveillance in southern Africa.


2013 ◽  
Vol 6 (1) ◽  
pp. 19958 ◽  
Author(s):  
Mark M. Rweyemamu ◽  
Peter Mmbuji ◽  
Esron Karimuribo ◽  
Janusz Paweska ◽  
Dominic Kambarage ◽  
...  

Author(s):  
Marie C. E. Hanin ◽  
Kevin Queenan ◽  
Sara Savic ◽  
Esron Karimuribo ◽  
Simon R. Rüegg ◽  
...  

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Alina Deshpande ◽  
Kristin Margevicius

Objective1. To develop a comprehensive model characterization frameworkto describe epidemiological models in an operational context.2. To apply the framework to characterize “operational” modelsfor specific infectious diseases and provide a web-based directory,the biosurveillance analytics resource directory (BARD) to the globalinfectious disease surveillance community.IntroductionEpidemiological modeling for infectious disease is useful fordisease management and routine implementation needs to befacilitated through better description of models in an operationalcontext. A standardized model characterization process that allowsselection or making manual comparisons of available models andtheir results is currently lacking. Los Alamos National Laboratory(LANL) has developed a comprehensive framework that can be usedto characterize an infectious disease model in an operational context.We offer this framework and an associated database to stakeholders ofthe infectious disease modeling field as a tool for standardizing modeldescription and facilitating the use of epidemiological models. Such aframework could help the understanding of diverse models by variousstakeholders with different preconceptions, backgrounds, expertise,and needs, and can foster greater use of epidemiological models astools in infectious disease surveillance.MethodsWe define, “operational” as the application of an epidemiologicalmodel to a real-world event for decision support and can be used byexperts and non-experts alike. The term “model” covers three majortypes, risk mapping, disease dynamics and anomaly detection.To develop a framework for characterizing epidemiological modelswe collected information via a three-step process: a literature searchof model characteristics, a review of current operational infectiousdisease epidemiological models, and subject matter expert (SME)panel consultation. We limited selection of operational models tofive infectious diseases: influenza, malaria, dengue, cholera andfoot-and-mouth disease (FMD). These diseases capture a varietyof transmission modes, represent high or potentially high epidemicor endemic burden, and are well represented in the literature. Wealso developed working criteria for what attributes can be used tocomprehensively describe an operational model including a model’sdocumentation, accessibility, and sustainability.To apply the model characterization framework, we built theBARD, which is publicly available (http://brd.bsvgateway.org).A document was also developed to describe the usability requirementsfor the BARD; potential users (and non-users) and use cases areformally described to explain the scope of use.Results1. Framework for model characterizationThe framework is divided into six major components (Figure 1):Model Purpose, Model Objective, Model Scope, Biosurveillance(BSV) goals, Conceptual Model and Model Utility; each of whichhas several sub-categories for characterizing each aspect of a model.2. Application to model characterizationModels for five infectious diseases—cholera, malaria, influenza,FMD and dengue were characterizedusing the framework and are included in the BARD database. Ourframework characterized disparate models in a streamlined fashion.Model information could be binned into the same categories, allowingeasy manual comparison and understanding of the models.3. Development of the BARDOur model characterization framework was implemented into anactionable tool which provides specific information about a modelthat has been systematically categorized. It allows manual categoryto-category comparison of multiple models for a single disease andwhile the tool does not rank models it provides model information ina format that allows a user to make a ranking or an assessment of theutility of the model.ConclusionsWith the model characterization framework we hope to encouragemodel developers to start describing the many features of their modelsusing a common format. We illustrate the application of the frameworkthrough the development of the BARD which is a scientific andnon-biased tool for selecting an appropriate epidemiological modelfor infectious disease surveillance. Epidemiological models are notnecessarily being developed with decision makers in mind. This gapbetween model developers and decision makers needs to be narrowedbefore modeling becomes routinely implemented in decision making.The characterization framework and the tool developed (BARD) area first step towards addressing this gap.Keywordsepidemiological models; database; decision support


2019 ◽  
Vol 30 (4) ◽  
pp. 639-647 ◽  
Author(s):  
Janneke W Duijster ◽  
Simone D A Doreleijers ◽  
Eva Pilot ◽  
Wim van der Hoek ◽  
Geert Jan Kommer ◽  
...  

Abstract Background Syndromic surveillance can supplement conventional health surveillance by analyzing less-specific, near-real-time data for an indication of disease occurrence. Emergency medical call centre dispatch and ambulance data are examples of routinely and efficiently collected syndromic data that might assist in infectious disease surveillance. Scientific literature on the subject is scarce and an overview of results is lacking. Methods A scoping review including (i) review of the peer-reviewed literature, (ii) review of grey literature and (iii) interviews with key informants. Results Forty-four records were selected: 20 peer reviewed and 24 grey publications describing 44 studies and systems. Most publications focused on detecting respiratory illnesses or on outbreak detection at mass gatherings. Most used retrospective data; some described outcomes of temporary systems; only two described continuously active dispatch- and ambulance-based syndromic surveillance. Key informants interviewed valued dispatch- and ambulance-based syndromic surveillance as a potentially useful addition to infectious disease surveillance. Perceived benefits were its potential timeliness, standardization of data and clinical value of the data. Conclusions Various dispatch- and ambulance-based syndromic surveillance systems for infectious diseases have been reported, although only roughly half are documented in peer-reviewed literature and most concerned retrospective research instead of continuously active surveillance systems. Dispatch- and ambulance-based syndromic data were mostly assessed in relation to respiratory illnesses; reported use for other infectious disease syndromes is limited. They are perceived by experts in the field of emergency surveillance to achieve time gains in detection of infectious disease outbreaks and to provide a useful addition to traditional surveillance efforts.


2007 ◽  
Vol 4 (16) ◽  
pp. 973-984 ◽  
Author(s):  
Jo E.B Halliday ◽  
Anna L Meredith ◽  
Darryn L Knobel ◽  
Darren J Shaw ◽  
Barend M. de C Bronsvoort ◽  
...  

The dynamics of infectious diseases are highly variable. Host ranges, host responses to pathogens and the relationships between hosts are heterogeneous. Here, we argue that the use of animal sentinels has the potential to use this variation and enable the exploitation of a wide range of pathogen hosts for surveillance purposes. Animal sentinels may be used to address many surveillance questions, but they may currently be underused as a surveillance tool and there is a need for improved interdisciplinary collaboration and communication in order to fully explore the potential of animal sentinels. In different contexts, different animal hosts will themselves vary in their capacity to provide useful information. We describe a conceptual framework within which the characteristics of different host populations and their potential value as sentinels can be evaluated in a broad range of settings.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiang Ren ◽  
Liping Wang ◽  
Benjamin J. Cowling ◽  
Lingjia Zeng ◽  
Mengjie Geng ◽  
...  

ObjectiveWe aimed to review the development and changes of National Notifiable Disease Surveillance System (NNDSS) from 1950 to 2013, and to analyze and summarize the changes in regulations and public health surveillance practices in China.IntroductionInfectious disease was the second most common cause of death in 1949, and the epidemic situation of infectious diseases was so severe that the Chinese government made major investments to the control and prevention of infectious diseases. During the past 60 years the development of the notifiable disease surveillance system in China has experienced 3 phases, including germination stage, development stage, improvement and consolidation stage (1). As the quality of infectious diseases surveillance has been improved stepwisely, the national morbidity of class A and B notifiable disease decreased from 7157.5 per 100,000 in 1970 to 225.8 per 100,000 in 2013, and the mortality decreased from 56.0 per 100,000 in 1959 to 1.2 per 100,000 in 2013(2).MethodsResearch articles, online reports and grey literature from January 1950 to February 2013 relevant to disease surveillance in China were searched in databases including PubMed, China National Knowledge Infrastructure (CNKI), and Wanfang Data. Retrieved articles were screened by inclusion criteria of containing the infectious diseases prevention and control, related laws and regulations, and development of surveillance system.ResultsIn the systematic review, 20 articles were retrieved from PubMed, 1129 articles from CNKI, 480 articles from WanFang database, after abstract screening and eliminating overlaps, 73 articles were included, including 10 English articles and 63 Chinese articles.Laws and regulations on notifiable diseases in ChinaAdministrative Measures for Infectious Diseases Control was issued in 1955 to deal with 18 diseases (classes A and B) for their notification, monitoring, reporting and treatment. In 1956, 7 more infectious diseases were added into class B infectious diseases. Regulation on the Administration of Acute Infectious Diseases was issued in 1978, infectious diseases in class A and B including suspected cases must be reported within specific time respectively. The Law of the People's Republic of China on the Prevention and Treatment of Infectious Diseases, the first infectious disease law in China, was issued in 1989 and revised in 2004. The number of notifiable infectious diseases was increased to 35, including 2 class A, 21 class B and 12 class C notifiable diseases in 1989. The 2004 revised version contained total 37 notifiable diseases and clarified infectious disease prevention, epidemic situation report, notification and release, epidemic control, medical treatment, supervision and management, logistic measures, legal responsibility and supplementary provisions.The organization of notifiable disease surveillance and managementIn 1950s, the Government Administration Council approved the bill of the establishment of Health Epidemic Prevention Stations (HEPS) nationwide. Chinese Academy of Medical Sciences (CAMS) was established in 1956, and the Chinese Academy of Preventive Medicine (CAPM) was established in 1986, which was in charge of the national infectious disease surveillance data collection, management, analysis and feedback. In 2002, the CAPM officially changed its name to the Chinese Center for Disease Control and Prevention (CDC), so did all levels of health epidemic prevention station. As mentioned in the Law of the People's Republic of China on the Prevention and Treatment of Infectious Diseases, CDCs at all levels are responsible for infectious disease surveillance, prediction, epidemiological investigation, epidemic reporting and other prevention and control. In addition, the law clarified the establishment of infectious disease surveillance system, the specific duties and tasks of the administrative department of public health and healthcare technology institutions in the infectious disease surveillance (Figure 1).Notifiable diseases diagnostic criteria Notifiable Diseases Diagnostic Criteria (Trial Edition) was issued in 1990 and revised in 2004. Diagnostic Criteria defined suspected case, probable case and confirmed case. Suspected case mainly based on clinical symptoms and signs; probable case was the suspected cases with hemogram blood test. Confirmed case was based on blood test results and pathogen specific antigen or antibody test results, eg. Ig G, Ig M or virus tested positive among suspected or probable cases.Reporting method of notifiable diseases surveillance systemDuring 1950 to 1985, monthly collection of reports was delivered by post mail level by level hierarchically (from county HEPSs to prefectural or city HEPSs, then to provincial HEPSs and eventually to CAPM ). The notifiable infectious diseases reporting network covered the whole country firmly launched at the mid-1960s.In 1986, the prototype of electronic reporting was sprout. Over 200 network nodes achieved electronic submission of the national notifiable infectious diseases monthly report by post-delivery, some provinces even had adopted more efficient reporting means by e-mail autonomously. During 1986 to 2003, different reporting cards are used for collecting class A, B, and C infectious diseases respectively. At the beginning of each year, the provincial HEPSs updated the population census data and the administrative changes. At the end of each year, the provincial HEPSs reported detailed age-gender and occupation specific diseases morbidity and mortality data, as well as amended monthly reports for delay or missing, to CAPM.The internet-based timely reporting system was officially launched in 2004. China CDC built the notifiable infectious diseases and emergent public health event reporting system that covered all hospitals and medical institutes nationwide, which collected individual case data with unified reporting card. By 2013 the system with over 70,000 reporting units covered 100% county and above level CDCs, 98% of county and above level medical institutions, and 94% of township level healthcare units.ConclusionsMonthly reporting was replaced by real-time reporting, and the weekly, monthly and yearly cumulative incidence and death was replaced by individual case reporting. The hierarchical reporting structure, were changed to reporting directly to national data center. The notifiable disease surveillance system network has been expanded, the diagnosis capacity and criteria, surveillance data report methods and sensitivity have been improved gradually. The notifiable disease surveillance system optimized step by step with internet-based timely reporting technology and direct filling infectious disease case information from healthcare facilities.References1. Cheng M, etc. The history and development trend of disease surveillance in China. Disease Surveillance, 2005, 20(3): 113-114.2. The national health and family planning commission of the People's Republic of China. The national epidemic situation of notifiable diseases in 2012.


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