| Literature DB >> 34275496 |
Gisela Vasconcelos Gioia1, Gaël Lamielle2, Ryan Aguanno2, Ihab ElMasry2, Béatrice Mouillé2, Cristian De Battisti2, Angélique Angot2, Fanny Ewann3, Adrien Sivignon3, Daniel Donachie4, Orr Rozov2, Étienne Bonbon2, Frédéric Poudevigne2, Sophie VonDobschuetz2, Ludovic Plée2, Wantanee Kalpravidh2, Keith Sumption2.
Abstract
Attacks using animal pathogens can have devastating socioeconomic, public health and national security consequences. The livestock sector has some inherent vulnerabilities which put it at risk to the deliberate or accidental spread of disease. The growing concern of countries about the risks of agro-terrorism and agro-crime has led to efforts to prepare against potential attacks. One recent international effort is the launch of a joint OIE, FAO and INTERPOL project in 2019 to build resilience against agro-terrorism and agro-crime targeting animal health with the financial support of the Weapons Threat Reduction Programme of Global Affairs Canada. Given the importance of strong animal health surveillance systems for the early and effective response to agro-terrorism and agro-crime, the project will use the FAO Surveillance Evaluation Tool (SET) and its new Biothreat Detection Module to evaluate beneficiary countries' capacities to detect criminal or terrorist animal health events. This paper presents the development of the new SET Biothreat Detection Module and how it will be used to evaluate surveillance for agro-terrorism and agro-crime animal disease threats. The module will be piloted in early 2021 and, once finalized, will be used by beneficiary countries of the joint OIE-FAO-INTERPOL project. Results from evaluations using SET and its Biothreat Detection Module are expected to provide a baseline from which countries can build targeted capacity for animal disease surveillance including early detection and investigation of potential terrorist or criminal events involving zoonotic and non-zoonotic animal pathogens.Entities:
Keywords: Agro-crime; Agro-terrorism; Biothreat; Needs assessment; Pathogens; Surveillance
Year: 2021 PMID: 34275496 PMCID: PMC8286858 DOI: 10.1186/s42522-021-00045-8
Source DB: PubMed Journal: One Health Outlook ISSN: 2524-4655
Overview of SET areas, categories and indicators
| Area | Category | Number of indicators | Summary of topics covered by indicators |
|---|---|---|---|
| Central institutional organization | 7 | Existence of an operational management structure; Existence of steering and technical/scientific committees; Existence of formal description of the system’s organization and operations; Vertical coordination and supervision of field level units; and Adequacy of central level resources. | |
| Field institutional organization | 8 | Formalization, coverage and representativeness of field units; Vertical and horizontal coordination between field units; Supervision of field units; and Adequacy of resources. | |
| Intersectoral collaborations | 4 | Coordination with private, public health and environmental sectors. | |
| Operational aspects | 2 | Effective integration of laboratories in the surveillance system; and Adequacy of resources. | |
| Technical aspects | 8 | Quality assurance mechanisms including tests, laboratory reagent control and inter-laboratory proficiency testing; Work standardization between laboratories; Field laboratory support; and Relevance, sensitivity and specificity of tests. | |
| Analytical aspects | 3 | Laboratory data management; and Timeliness and quality of laboratory reports. | |
| Objectives and context of surveillance | 4 | Quality and formalization of surveillance objectives; and Relevance of priority diseases | |
| Surveillance data collection | 14 | Existence and quality of surveillance plans; Existence and quality of data collection tools; Existence and quality of case definitions; Completeness and timeliness of disease reports; Appropriate sample collection; and Timeliness of results delivery. | |
| Surveillance procedures | 9 | Existence and quality of surveillance protocols; Existence and quality of active surveillance activities; Existence of wildlife surveillance; and Existence of vector surveillance. | |
| Animal health investigations | 2 | Availability of animal health investigation teams; and Quality and timeliness of investigations. | |
| Risk assessment | 2 | Implementation and usefulness of animal health risk assessments. | |
| Workforce management | 5 | Planning, Terms of Reference (ToRs) and qualification of epidemiology staff; and Existence of sufficient manpower for surveillance. | |
| Training | 4 | Existence and overall quality of initial and refresher surveillance staff trainings; and Adequacy of resources for trainings. | |
| Information system | 2 | Adequacy and quality of the data management system for the needs of the system. | |
| Data processing and exploiting | 5 | Existence of protocols, quality and timeliness of data entry, validation and analysis; Existence of sufficient trained staff for data entry, management and analysis; and Adequacy of resources for data management and analysis. | |
| Internal communication | 4 | Existence, timeliness and completeness of surveillance reports; Existence and timeliness of feedback to field actors; and Existence of horizontal and vertical communication mechanisms within the surveillance system. | |
| External communication | 3 | Existence and timeliness of newsletters; Existence and implementation of an external communication policy; and Adequacy of resources for communication. | |
| Internal evaluation | 2 | Existence, quality, timeliness and use of performance indicators for the continuous improvement of the surveillance system. | |
| External evaluation | 2 | Existence and use of external evaluations for improvement of the surveillance system. |
SET indicator number 34
| # | Indicator | Score 4 | Score 3 | Score 2 | Score 1 |
|---|---|---|---|---|---|
| Level of detail, accuracy, and formalization of objectives | Objectives are well detailed and completely formalized, rendering it possible to estimate disease prevalence or assess the probability of detection in conformance with the nature and purpose of the system. | Objectives could benefit from the addition of some minor details and formalization. | Objectives require significant additional details and formalization. | Objectives are not formalized, detailed, or relevant. |
Each indicator in SET is scored from 4 to 1. Score 4 represents full capacity, Score 3 represents moderate capacity, Score 2 represents low capacity and Score 1 represents very low capacity. Above is the indicator 34 of SET under the area of surveillance activities and the category of surveillance objectives
Fig. 1Example of graphical output of the FAO Surveillance Evaluation Tool (SET) using figurative results of a fictive country. The spider graph shows results by SET category of a fictive country who has conducted two SET evaluations. Each of the 19 SET categories form an individual axis whose value varies from 0 to 100%. The green line shows results for the first SET evaluation and the red line shows results for the second SET evaluation conducted 3–5 years after the initial evaluation. The closer either line is positioned to the outer border of the graph, the higher the capacity of the country in the respective category and vice-versa. The graphic shows the progress the country has made after implementing the recommendations of the first SET evaluation, particularly the development and implementation of a communication and inter-sectoral collaboration plan
Fig. 2Overview of a SET mission. After at least 1 month of preparation, the in-country SET mission is conducted for 10–12 days. After a launching meeting with key decision-makers, the first week of the mission is dedicated to interviews with all relevant stakeholders. The second week of the mission is dedicated to scoring all 90 indicators of SET and 32 indicators of the SET Biothreat Detection Module (if used), and the development of recommendations and a first draft of the action plan for improvement of the country’s animal disease surveillance system. The second week ends with a closing meeting presenting the main results and recommendations to key decision-makers. The SET report is drafted, finalized and cleared for publication by the country’s Chief veterinary officer approximately 60 days after the in-country mission
List of external reviewers of the SET Biothreat Detection Module and their technical and geographic background
| Background | Technical | Geographic | Gender | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reviewer | Biothreat reduction | Surveillance | Investigation | Emergency | Laboratory | Wildlife | Public health | Law enforcement | Military | North Africa | Middle East | Southeast Asia | Sub-Saharan Africa | Europe | North America | Latin America | |
| Alessandro Ripani | X | X | Male | ||||||||||||||
| Armin Elbers | X | X | X | Male | |||||||||||||
| Fee Zimmermann | X | X | X | X | Female | ||||||||||||
| Gary Flory | X | X | X | Male | |||||||||||||
| Gary A. Vroegindewey | X | X | X | Male | |||||||||||||
| Jacqueline Roberta Soares Salgado | X | X | X | Female | |||||||||||||
| Julie R. Sinclair | X | X | Female | ||||||||||||||
| Júlio Gouveia-Carvalho | X | X | X | X | Male | ||||||||||||
| Mirza Qakhon Hatoqay | X | X | X | Male | |||||||||||||
| Rickard Knutsson | X | X | X | X | Male | ||||||||||||
| Sean Shadomy | X | X | X | X | X | Male | |||||||||||
| Stephen Papagiotas | X | X | X | Male | |||||||||||||
| Zalini Yunis | X | X | X | X | Female | ||||||||||||
Overview of SET Biothreat Detection Module categories and indicators
| Category | Number of indicators | Summary of topics covered by indicators |
|---|---|---|
| 5 | Existence of agro-terrorism and agro-crime committee; Existence of formal documents on the organization and operation of agro-terrorism and agro-crime surveillance; Existence of focal points and mechanisms for national and international collaboration between animal health, law enforcement and other relevant sectors; and Adequacy of resources for surveillance of agro-terrorism and agro-crime. | |
| 6 | Mechanisms in place to meet laboratory epidemiologic and forensic needs; Existence of guidelines for sampling in joint epidemiologic and criminal investigations; Adequacy of resources and existence of laboratory information management system (LIMS) in laboratories involved in joint investigations; and Capacity of the country to differ endemic, foreign, emerging and potentially manipulated pathogens. | |
| 11 | Existence and quality of a list of pathogens of concern for agro-terrorism and agro-crime; Knowledge of epidemiological situation of pathogens of concern; Existence of awareness campaigns on exotic and eradicated diseases; Existence and implementation of triggers and mechanisms for secure information sharing between veterinary services and law enforcement; Cross-border animal disease surveillance capacity; and Existence and quality of guidelines on joint epidemiological and criminal investigations. | |
| 2 | Implementation, quality and use of threat/risk assessments to guide agro-terrorism and agro-crime surveillance activities. | |
| 5 | Existence of staff planning, roster of investigators, background checks and trainings on detection, reporting and joint epidemiological and criminal investigations of potential agro-terrorism or agro-crime animal health events. | |
| 1 | Existence and implementation of mechanisms to secure surveillance data and sensitive information from theft, loss or misuse. | |
| 2 | Implementation and use of joint simulation exercises and after action reviews for improvement of agro-terrorism and agro-crime surveillance. |
Fig. 3Example of graphical output of the FAO SET Biothreat Detection Module using figurative results of a fictive country. The spider graph shows results by SET Biothreat Detection Module category of a fictive country. Each of the 7 SET Biothreat Detection Module categories form an individual axis whose value varies from 0 to 100%. The blue line shows the results for the SET Biothreat Detection Module from 0 to 100%. The closer the line is positioned to the outer border of the graph, the higher the capacity of the country in the respective category and vice-versa