Surveillance tools and strategies for animal diseases in a shifting climate context

2013 ◽  
Vol 14 (2) ◽  
pp. 147-150 ◽  
Author(s):  
Mo D. Salman

AbstractAnimal disease surveillance is watching an animal population closely to determine if a specific disease or a group of diseases makes an incursion so that a prior plan of action can be implemented. The purpose of this paper is to review existing tools and techniques for an animal disease-surveillance system that can incorporate the monitoring of climate factors and related data to enhance understanding of disease epidemiology. In recent decades, there has been interest in building information systems by combining various data sources for different purposes. Within the field of animal health, there have only been limited attempts at the integration of surveillance data with relevant climate conditions. Statistical techniques for data integration, however, have been explored and used by several disciplines. Clearly the application of available techniques for linking climate data with surveillance systems should be explored with the aim of facilitating prevention, mitigation, and adaptation responses in the surveillance setting around climate change and animal disease risks. Drawing on this wider body of work, three of the available techniques that can be utilized in the analysis of surveillance data with the available climate data sets are reviewed.

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Gisela Vasconcelos Gioia ◽  
Gaël Lamielle ◽  
Ryan Aguanno ◽  
Ihab ElMasry ◽  
Béatrice Mouillé ◽  
...  

AbstractAttacks 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.


2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Janeth George ◽  
Barbara Häsler ◽  
Erick Komba ◽  
Calvin Sindato ◽  
Mark Rweyemamu ◽  
...  

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.


Author(s):  
J.C. Mariner

Investment in disease control should be targeted to critical points that provide the greatest benefit to the livelihoods of livestock-dependent stakeholders. Risk-based targeting should balance the impacts of diseases against the feasibility of their control. This requires sensitive and specific surveillance systems that provide representative overviews of the animal health situation for accurate assessment of disease impact and transmission patterns. Assessment of impact should include household and market effects. The key in surveillance is involving livestock owners using active methods that ensure their disease priorities are addressed. Epidemiological targeting of interventions to critical points in disease transmission cycles should be done to obtain maximal disease reduction. Interventions should be delivered in full partnership with both private and community-based stakeholders to assure high uptake and sustainability. In developing countries, approaches such as participatory disease surveillance and community-based animal health programs have been effective and comply with international animal health standards.


2020 ◽  
Author(s):  
Claudia Vitolo ◽  
Francesca Di Giuseppe ◽  
Mark Parrington

<p>Copernicus is the European Union’s Earth Observation programme aiming at monitoring and forecasting the state of the environment on land, sea and in the atmosphere, in order to support climate change mitigation and adaptation strategies, the efficient management of emergency situations and improve the security of every citizen.</p><p>Copernicus has created a wealth of datasets related to the forecasting of wildfire danger as well as the detection of wildfire events and related emissions in the atmosphere. These products contribute to the operational services provided by the Copernicus Emergency Management Service (CEMS) and the Copernicus Atmosphere Monitoring Service (CAMS) and consists of real time forecasts as well as historical datasets based on ECMWF reanalysis database ERA5. Most of these data are available through the Copernicus Climate Data Store (CDS) and the Global Wildfire Information System (GWIS).</p><p>We will present the complete wildfire-related data offering under the Copernicus CDS and GWIS and showcase how data can be post-processed and visualised using the caliver R package.</p>


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
David Atrubin ◽  
Michael Wiese

This roundtable will focus on how traditional emergency department syndromic surveillance systems should be used to conduct daily or periodic disease surveillance.  As outbreak detection using these systems has demonstrated an equivocal track record, epidemiologists have sought out other interesting uses for these systems.  Over the numerous years of the International Society for Disease Surveillance (ISDS) Conference, many of these studies have been presented; however, there has been a dearth of discussion related to how these systems should be used. This roundtable offers a forum to discuss best practices for the routine use of emergency department syndromic surveillance data.


2021 ◽  
Author(s):  
Gisela Vasconcelos Gioia ◽  
Gaël Lamielle ◽  
Ryan Aguanno ◽  
Ihab ElMasry ◽  
Béatrice Mouillé ◽  
...  

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 uses 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 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.


Author(s):  
Giuseppe Agapito ◽  
Chiara Zucco ◽  
Mario Cannataro

The management of the COVID-19 pandemic presents several unprecedented challenges in different fields, from medicine to biology, from public health to social science, that may benefit from computing methods able to integrate the increasing available COVID-19 and related data (e.g., pollution, demographics, climate, etc.). With the aim to face the COVID-19 data collection, harmonization and integration problems, we present the design and development of COVID-WAREHOUSE, a data warehouse that models, integrates and stores the COVID-19 data made available daily by the Italian Protezione Civile Department and several pollution and climate data made available by the Italian Regions. After an automatic ETL (Extraction, Transformation and Loading) step, COVID-19 cases, pollution measures and climate data, are integrated and organized using the Dimensional Fact Model, using two main dimensions: time and geographical location. COVID-WAREHOUSE supports OLAP (On-Line Analytical Processing) analysis, provides a heatmap visualizer, and allows easy extraction of selected data for further analysis. The proposed tool can be used in the context of Public Health to underline how the pandemic is spreading, with respect to time and geographical location, and to correlate the pandemic to pollution and climate data in a specific region. Moreover, public decision-makers could use the tool to discover combinations of pollution and climate conditions correlated to an increase of the pandemic, and thus, they could act in a consequent manner. Case studies based on data cubes built on data from Lombardia and Puglia regions are discussed. Our preliminary findings indicate that COVID-19 pandemic is significantly spread in regions characterized by high concentration of particulate in the air and the absence of rain and wind, as even stated in other works available in literature.


2020 ◽  
Vol 48 (4) ◽  
pp. 694-704
Author(s):  
Sam F. Halabi

Anthropogenic climate change is causing temperature rise in temperate zones resulting in climate conditions more similar to subtropical zones. As a result, rising temperatures increase the range of disease-carrying insects to new areas outside of subtropical zones, and increased precipitation causes flooding that is more hospitable for vector breeding. State governments, the federal government, and governmental agencies, like the Animal and Plant Health Inspection Service (APHIS) of USDA and the National Notifiable Disease Surveillance System (NNDSS) of the U.S. Centers for Disease Control and Prevention, lack a coordinated plan for vector-borne disease accompanying climate change. APHIS focuses its surveillance primarily on the effect of illness on agricultural production, while NNDSS focuses on the emergence of pathogens affecting human health. This article provides an analysis of the current framework of surveillance of, and response to, vector-borne infectious diseases, the impacts of climate change on the spread of vector-borne infectious diseases, and recommends changes to federal law to address these threats.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Wayne Clifford

Objective: Integrate and streamline the collection and analysis of environmental, veterinary, and vector zoonotic data using a One Health approach to data system development.Introduction: Environmental Public Health Zoonotic Disease surveillance includes veternary, environmental, and vector data. Surveillance systems within each sector may appear disparate from each other, although they are actually complimentaly and closely allied. Consolidating and integrating data in to one application can be challenging, but there are commonalities shared by all. The goal of the One Health Integrated Data Sysytem is to standardize data collection, streamline data entry, and integrate these sectors in to one application.Methods: Data Assessment. An assessment of each surveillance function was carried out to evaluate data types and needs.Identify Commonalities. Common data was identified across each of the surveillance areas.Identify Unique Data. Data unique to specific surveillance efforts was identified.Build Data Structure. A back-end data structure was developed that reflected the data needs from each surveillance area.Build Data Entry Interfaces. Data entry interfaces were developed to meet the needs of each surveillance area.Build Data QC. Procedures were developed that run several quality control checks on the data.Build Data Eports. To allow users to carry out more extensive analysis of data, customized data exports were built.Results: This data integration project resulted in:● Reduced time spent entering and managing data● Improved data entry error rates● Increased visibility through automated program metrics● Improved access to data from data usersConclusions: Integrating data and building a data system that reflects the diversity of environmental, veterinary, and vector surveillance data is doable using off-the-shelf database tools. The process of integrating data and building the data structure results in a more intimate understanding of the data revealing opportunities for improving data quality.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Michelle Carr ◽  
Tunde Onafowokan ◽  
John Fleming ◽  
Tolu Olumuyiwa ◽  
Biru Yang ◽  
...  

ObjectiveTo provide recommendations for future preparedness response efforts based on an assessment of the Post-Hurricane Harvey After-Action Report (AAR).IntroductionOn August 25, 2017 Hurricane Harvey moved onshore near Port Aransas, Texas, eventually overwhelming areas of Houston with between 41-60 inches of rain (Houston Health Department [HHD], 2017). As a category 4 storm, with wind speeds as high as 130 mph, Harvey broke several rainfall records across the state and ended the prolonged period of twelve years in which no major hurricanes had made landfall in the United States (Mersereau, 2017). Harvey ambled at a leisurely pace through Houston and resulted in devastating flooding that destroyed homes and required the evacuation of approximately 37,000 Houstonians to over 78 shelter facilities across the affected area (HHD, 2017). Through concerted efforts, the American Red Cross and the HHD established the shelter at the George R. Brown Convention Center (GRB) and “delivered or coordinated social services, medical and mental health services, disease surveillance and food/sanitary inspection services” for the duration of the need for the shelter (HHD, 2017).MethodsSyndromic surveillance data is essential to understanding the health status of affected communities during and after a disaster. For this abstract, we reviewed data collected from different surveillance systems and programs within the Houston Health Department (HHD), namely Real-Time Outbreak and Surveillance (RODS), Houston Electronic Disease Surveillance System (HEDSS) and other program systems, and reports compiled into the AAR. The AAR contained an assessment of the data collected daily during shelter surveillance and helped identify gaps in the implementation of preparedness plans, current procedures, and best practices. HHD’s Informatics team was responsible for data collection, training of staff and maintaining a cloud based repository of information on surveillance data and resources. A review of the AAR indicated a need for resources for the general shelter population to address the need for pharmacy data, enhanced behavioral support for individuals with mental health needs, dialysis treatment plans and pharmaceutical needs for patients with respiratory illness or hypertension.ResultsFrom August 30, 2017 to September 8, 2017 approximately 3,500 evacuees residing at the GRB shelter were assessed for a variety of medical conditions and complaints. Patient encounters peaked on September 4, 2017, with 705 patient encounters recorded. Data from the AAR suggested there were four most prevalent conditions of immediate need; affecting almost 25% of the shelter population were hypertension (10.4%), mental and behavioral issues (7.9%), diabetes (5.7%) and dialysis or renal failure (0.3%). There were challenges with supply of medications and synchronization of data collection by HHD and partner agencies. The department’s Continuity of Operation Plan (COOP) was voluminous and was not easily accessible during the disaster response. The findings from the After-Action Report indicate that disasters present multidimensional health challenges that can overwhelm advance preparations and more needs to be done to address the problems identified from previous disaster responses to improve on future outcomes.ConclusionsSyndromic surveillance can be strengthened in the following recommended areas for better incorporation into disaster response plans; pharmacy and health related data and data collection.The ingestion of pharmacy data by the syndromic surveillance systems could highlight gaps in the supply of needed medications at pharmacies during and post disaster, data from behavioral health clinics could show whether victims of the disaster who suffer mental health issues are able to access care, and whether dialysis treatment plans were continued. Based on the gaps identified, recommendations include integration of pharmacy data into the City’s disease surveillance system “ESSENCE” for tracking prescriptions and OTC purchases, to ensure adequate preparation for disaster stock levels and identification of sources for reordering when stocks run short.Additionally, it is recommended to revise and standardize data collection tools used during shelter surveillance to streamline the data collection process and to align the data tools of partner agencies, particularly DMAT and Red Cross, to prevent unnecessary duplication of efforts.Finally, the City’s Continuity of Operation Plan (COOP) has been revised since Hurricane Harvey and is periodically assessed and updated. The revised and updated COOP provides a concise and readily accessible document which can be easily reviewed and implemented to support an emergency response.References1. Houston Health Department. (2017). Hurricane Harvey fast facts.2. Houston Health Department. (2017). After-Action Report/Improvement Plan. Retrieved from3. Mersereau, D. (2017). Hurricane Harvey broke multiple weather records. Mental Floss. Retrieved from http://mentalfloss.com/article/556940/pluto-planet-after-all-new-argument-emerges


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