scholarly journals The applicability of animal health surveillance systems for post-market monitoring of potential adverse effects of genetically modified (GM) feed

2018 ◽  
Vol 117 ◽  
pp. 79-88 ◽  
Author(s):  
L. Vince ◽  
G.A. Kleter ◽  
K. Kostov ◽  
D.U. Pfeiffer ◽  
J. Guitian
Keyword(s):  
Adverse Effects ◽  
Genetically Modified ◽  
Animal Health ◽  
Health Surveillance ◽  
Surveillance Systems ◽  
Market Monitoring ◽  
Post Market

scholarly journals Towards an integrated animal health surveillance system in Tanzania: making better use of existing and potential data sources for early warning surveillance

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Janeth George ◽  
Barbara Häsler ◽  
Erick Komba ◽  
Calvin Sindato ◽  
Mark Rweyemamu ◽  
...  
Keyword(s):  
Early Warning ◽  
Surveillance System ◽  
Animal Health ◽  
Health Surveillance ◽  
Surveillance Data ◽  
Data Sources ◽  
Surveillance Systems ◽  
Cross Sectional Survey ◽  
Traceability System ◽  
Spatial Coverage

Abstract Background Effective animal health surveillance systems require reliable, high-quality, and timely data for decision making. In Tanzania, the animal health surveillance system has been relying on a few data sources, which suffer from delays in reporting, underreporting, and high cost of data collection and transmission. The integration of data from multiple sources can enhance early detection and response to animal diseases and facilitate the early control of outbreaks. This study aimed to identify and assess existing and potential data sources for the animal health surveillance system in Tanzania and how they can be better used for early warning surveillance. The study used a mixed-method design to identify and assess data sources. Data were collected through document reviews, internet search, cross-sectional survey, key informant interviews, site visits, and non-participant observation. The assessment was done using pre-defined criteria. Results A total of 13 data sources were identified and assessed. Most surveillance data came from livestock farmers, slaughter facilities, and livestock markets; while animal dip sites were the least used sources. Commercial farms and veterinary shops, electronic surveillance tools like AfyaData and Event Mobile Application (EMA-i) and information systems such as the Tanzania National Livestock Identification and Traceability System (TANLITS) and Agricultural Routine Data System (ARDS) show potential to generate relevant data for the national animal health surveillance system. The common variables found across most sources were: the name of the place (12/13), animal type/species (12/13), syndromes (10/13) and number of affected animals (8/13). The majority of the sources had good surveillance data contents and were accessible with medium to maximum spatial coverage. However, there was significant variation in terms of data frequency, accuracy and cost. There were limited integration and coordination of data flow from the identified sources with minimum to non-existing automated data entry and transmission. Conclusion The study demonstrated how the available data sources have great potential for early warning surveillance in Tanzania. Both existing and potential data sources had complementary strengths and weaknesses; a multi-source surveillance system would be best placed to harness these different strengths.

Enhanced One Health Surveillance during the 58th Presidential Inauguration—District of Columbia, January 2017

2019 ◽  
Vol 14 (2) ◽  
pp. 201-207
Author(s):  
Tiana A. Garrett-Cherry ◽  
Andrew K. Hennenfent ◽  
Sasha McGee ◽  
John Davies-Cole
Keyword(s):  
Syndromic Surveillance ◽  
Health Care Systems ◽  
Animal Health ◽  
Clinical Signs ◽  
Health Surveillance ◽  
Local Health ◽  
Surveillance Systems ◽  
Syndromic Surveillance System ◽  
Medical Aid ◽  
Care Systems

ABSTRACTObjective:In January 2017, Washington, DC, hosted the 58th United States presidential inauguration. The DC Department of Health leveraged multiple health surveillance approaches, including syndromic surveillance (human and animal) and medical aid station–based patient tracking, to detect disease and injury associated with this mass gathering.Methods:Patient data were collected from a regional syndromic surveillance system, medical aid stations, and an internet-based emergency department reporting system. Animal health data were collected from DC veterinary facilities.Results:Of 174 703 chief complaints from human syndromic data, there were 6 inauguration-related alerts. Inauguration attendees who visited aid stations (n = 162) and emergency departments (n = 180) most commonly reported feeling faint/dizzy (n = 29; 17.9%) and pain/cramps (n = 34;18.9%). In animals, of 533 clinical signs reported, most were gastrointestinal (n = 237; 44.5%) and occurred in canines (n = 374; 70.2%). Ten animals that presented dead on arrival were investigated; no significant threats were identified.Conclusion:Use of multiple surveillance systems allowed for near-real-time detection and monitoring of disease and injury syndromes in humans and domestic animals potentially associated with inaugural events and in local health care systems.

scholarly journals The RISKSUR EVA tool (Survtool): A tool for the integrated evaluation of animal health surveillance systems

2019 ◽  
Vol 173 ◽  
pp. 104777 ◽  
Author(s):  
Marisa Peyre ◽  
Linda Hoinville ◽  
James Njoroge ◽  
Angus Cameron ◽  
Daniel Traon ◽  
...  
Keyword(s):  
Animal Health ◽  
Health Surveillance ◽  
Surveillance Systems

The Adequacy of the Mauritian Biosafety Framework

2014 ◽  
Vol 58 (1) ◽  
pp. 109-128
Author(s):  
Odile Juliette Lim Tung
Keyword(s):  
Genetically Modified Organisms ◽  
Genetically Modified ◽  
National Policy ◽  
Legal Provisions ◽  
Market Monitoring ◽  
Post Market ◽  
Key Issues ◽  
Assessment Requirements ◽  
Requirements Identification ◽  
Liability And Redress

AbstractThis article analyses the Mauritian regulatory framework on genetically modified organisms (GMOs) and highlights its shortcomings, with the aim of improving the regulation of the approval and monitoring of the use of GMOs in Mauritius. It examines key issues regarding the application for a GMO permit, risk assessment requirements, identification and labelling obligations, post-market monitoring, and liability and redress in the case of damages. There is a need for greater public participation in decision-making on the approval of GMO permits and the monitoring stage procedure, specific civil liability provisions for damage as well as regulation of the coexistence of genetically modified (GM) and non-GM crops in the Mauritian biosafety framework. Pending the proclamation of the entire Mauritian GMO Act 2004, relevant transitional provisions should also be provided. Beyond legal provisions on biosafety, a national policy on GM products and GMO-related activities should be elaborated.

scholarly journals Towards an Integrated Animal Health Surveillance System in Tanzania: Making Better use of Existing and Potential data Sources for Early Warning Surveillance

2020 ◽  
Author(s):  
Janeth George ◽  
Barbara Häsler ◽  
Erick Komba ◽  
Calvin Sindato ◽  
Mark Rweyemamu ◽  
...  
Keyword(s):  
Early Warning ◽  
Surveillance System ◽  
Animal Health ◽  
Health Surveillance ◽  
Surveillance Data ◽  
Data Sources ◽  
Surveillance Systems ◽  
Cross Sectional Survey ◽  
Traceability System ◽  
Spatial Coverage

Abstract Background: Effective animal health surveillance systems require reliable, quality, and timely data for decision-making. The animal health surveillance system in Tanzania has been relying on a few data sources, which suffer from delays in reporting, underreporting, and high cost of data collection and transmission. The integration of data from multiple sources can enhance early detection and response to animal diseases and consequently facilitate the early control of outbreaks. The study aimed to identify and assess the existing and potential data sources for animal health surveillance system in Tanzania and how they can better be used for early warning surveillance. The study used mixed-method design to identify and assess data sources. Data were collected through document reviews, internet search, cross-sectional survey, key informant interviews, site visits, and non-participant observation. The assessment was done using pre-defined criteria.Results: A total of 13 data sources were identified and assessed. Most surveillance data came from livestock farmers, slaughter facilities, and livestock markets, while animal dip sites were the least used sources. Commercial farms and veterinary shops, electronic surveillance tools like AfyaData and Event Mobile Application (EMA-i) and information systems such as Tanzania National Livestock Identification and Traceability System (TANLITS) and Agricultural Routine Data System (ARDS) show potential to generate relevant data for the national animal health surveillance system. The common variables found across most sources were: the name of the place (12/13), animal type/species (12/13), syndromes (10/13) and number of affected animals (8/13). The majority of the sources had good surveillance data contents and were accessible with medium to maximum spatial coverage. However, there was significant variation in terms of data frequency, accuracy and cost. There were limited integration and coordination of data flow from the identified sources with minimum to non-automated data entry and transmission. Conclusion: The study demonstrated how the available data sources have great potential for early warning surveillance in Tanzania. Both existing and potential data sources had complementary strengths and weaknesses; a multi-source surveillance system would be best placed to harness these different strengths.

Evaluation of animal and public health surveillance systems: a systematic review

2011 ◽  
Vol 140 (4) ◽  
pp. 575-590 ◽  
Author(s):  
J. A. DREWE ◽  
L. J. HOINVILLE ◽  
A. J. C. COOK ◽  
T. FLOYD ◽  
K. D. C. STÄRK
Keyword(s):  
Public Health ◽  
Systematic Review ◽  
Surveillance System ◽  
Animal Health ◽  
Evaluation Process ◽  
Health Surveillance ◽  
Evaluation Framework ◽  
Surveillance Systems ◽  
Efficient Manner ◽  
Wide Range

SUMMARYDisease surveillance programmes ought to be evaluated regularly to ensure they provide valuable information in an efficient manner. Evaluation of human and animal health surveillance programmes around the world is currently not standardized and therefore inconsistent. The aim of this systematic review was to review surveillance system attributes and the methods used for their assessment, together with the strengths and weaknesses of existing frameworks for evaluating surveillance in animal health, public health and allied disciplines. Information from 99 articles describing the evaluation of 101 surveillance systems was examined. A wide range of approaches for assessing 23 different system attributes was identified although most evaluations addressed only one or two attributes and comprehensive evaluations were uncommon. Surveillance objectives were often not stated in the articles reviewed and so the reasons for choosing certain attributes for assessment were not always apparent. This has the potential to introduce misleading results in surveillance evaluation. Due to the wide range of system attributes that may be assessed, methods should be explored which collapse these down into a small number of grouped characteristics by focusing on the relationships between attributes and their links to the objectives of the surveillance system and the evaluation. A generic and comprehensive evaluation framework could then be developed consisting of a limited number of common attributes together with several sets of secondary attributes which could be selected depending on the disease or range of diseases under surveillance and the purpose of the surveillance. Economic evaluation should be an integral part of the surveillance evaluation process. This would provide a significant benefit to decision-makers who often need to make choices based on limited or diminishing resources.

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