Key issues and challenges in disease surveillance in dairy cattle

Author(s):  
Lorenzo E. Hernández-Castellano ◽  
◽  
Klaus L. Ingvartsen ◽  
Mogens A. Krogh ◽  
◽  
...  

This chapter provides an overview on the different aspects concerning disease surveillance programs. The chapter also describes a specific and conceptual framework related to disease surveillance of production diseases within the individual herd, including both animals and farmers. Regarding farmers, this chapter focus on the justification and purposes for doing disease surveillance as well as the possible decisions and actions they can take to enhance the efficiency of the disease surveillance programs. It also discusses some of the most novel biomarkers that can be potentially used to identify pre-clinical disease states, which will have the potential to minimize the negative effects of production diseases. Finally, the chapter looks into the future perspectives and possible challenges that future automated disease surveillance systems will need to face in order to keep an optimal animal health, performance and welfare within the individual herd.

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.


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.


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.


Author(s):  
Karen L. Meidenbauer

ObjectiveTo identify gaps in current U.S. animal data collection andsurveillance systems, describe how surveillance of animal populationscan provide important early warnings of emerging threats to humanpopulations from infectious disease epidemics, and explain thebenefits of integrating human and animal surveillance data into acommon linked system.IntroductionSince the majority of emerging infectious diseases over the pastseveral decades have been zoonotic, animal health surveillance isnow recognized as a key element in predicting public health risks.Surveillance of animal populations can provide important earlywarnings of emerging threats to human populations from bioterrorismor naturally occurring infectious disease epidemics. This studyinvestigated current animal data collection and surveillance systems,isolated major gaps in state and national surveillance capabilities, andprovided recommendations to fill those gaps.MethodsInitially, an extensive literary review was performed to betterunderstand what is currently available for Animal Health DiseaseSurveillance in the United States and recognize the gaps. Afterthis review meetings were arranged with numerous animal healthand public health surveillance experts to isolate their surveillancepriorities: Department of Homeland Security (DHS), USDA AnimalPlant Health Inspection Service (APHIS), U.S. Army VeterinaryCorps, University Laboratories/Veterinary Teaching Hospitals, TheNational Capitol Region (NCR) ESSENCE Public Health SteeringCommittee, Maryland Arbovirus, Zoonotic, and Vector DiseaseGroup, and the Maryland State Veterinarian.A key animal disease surveillance stakeholder group that hasbeen underrepresented in prior requirements assessments is privatepractitioners. Preliminary discussions with key practitioners revealedclearly that there are monumental gaps in animal health surveillanceand it frequently limits their ability to rapidly respond to potentialdisease risks within their animal population of concern. To betterunderstand these gaps and potential ways to improve surveillance inthis area, a voluntary survey was developed and sent out to membersof the Maryland Veterinary Medical Association, Virginia VeterinaryMedical Association, and the District of Columbia Academy ofVeterinary Medicine.ResultsThrough this comprehensive study three current U.S. animal healthdisease surveillance gaps were isolated: integrated human and animalhealth surveillance, real-time animal health data collection, andcompanion animal surveillance.The survey was also well received and had almost 160 participants.Key issues addressed in the survey included: Animal Medical Records– availability, capabilities, and concerns, Zoonotic disease exposureand reporting, and support for development of integrated human-animal disease surveillance tools.Key Findings:- Almost 90% of responding practitioners reported havingencountered a zoonotic disease in practice.- Although less than 50% have reported a zoonotic disease to thestate or federal government.- Almost 70% of veterinarians in the National Capital Region(NCR) who participated in the survey also reported that they do nothave access to a surveillance system.- Veterinarian’s responses to the question: “What is your opinionof the current status of local, regional, or national zoonotic diseasesurveillance and the use of animal data for surveillance?”:“I think it is difficult to find up to date local and regional data.Email alerts etc. would be nice, rather than having to search forinformation that frequently isn’t current.”“I feel that many zoonotic diseases go unreported due to the lackof ease of reporting them and there is no communication betweenthe human and veterinary medical communities as far as reportablediseases affecting both people and animals.”“With the proliferation of tick borne disease, closer surveillance ofanimal cases would benefit human medicine. We knew exactly whenLyme hit our area. It was three years later before VA Dept. of Healthsent out a letter outlining the prevalence of disease in southwest VAhuman cases.”ConclusionsLinking the systems that report human and animal diseases wouldenable health professionals to swiftly identify and respond to zoonoticdisease outbreaks. Since funding for animal health surveillance islimited, integrating animal data into existing, well-established humanhealth surveillance systems would reduce the resources neededwhile still providing the advanced capabilities that are availablefor human health surveillance. The need for integrated surveillancehas been recognized by regulatory officials, but concerns regardingfunding, data acquisition, data confidentiality, and identification ofdesired stakeholders must still be addressed. The sometimes disparateinterests of large industry, private practitioners, and state governmentsmake gaining access to large centralized pools of animal health dataa challenge. By using existing human health surveillance systems asa platform to develop integrated human-animal surveillance systemsand by working with experts in the human surveillance field, theseconcerns can be ameliorated. This would lead to more advancedintegrated health surveillance capabilities and heighten the nation’sability to quickly detect and respond to emerging zoonotic diseases.


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.


2019 ◽  
Vol 67 (2) ◽  
pp. 967-978 ◽  
Author(s):  
Isabel MacPhillamy ◽  
James Young ◽  
Sophary Siek ◽  
Chan Bun ◽  
Sothoeun Suon ◽  
...  

2020 ◽  
Vol 4 (5) ◽  
pp. 449-452
Author(s):  
Alan MacLeod ◽  
Nicola Spence

COVID 19 has raised the profile of biosecurity. However, biosecurity is not only about protecting human life. This issue brings together mini-reviews examining recent developments and thinking around some of the tools, behaviours and concepts around biosecurity. They illustrate the multi-disciplinary nature of the subject, demonstrating the interface between research and policy. Biosecurity practices aim to prevent the spread of harmful organisms; recognising that 2020 is the International Year of Plant Health, several focus on plant biosecurity although invasive species and animal health concerns are also captured. The reviews show progress in developing early warning systems and that plant protection organisations are increasingly using tools that compare multiple pest threats to prioritise responses. The bespoke modelling of threats can inform risk management responses and synergies between meteorology and biosecurity provide opportunities for increased collaboration. There is scope to develop more generic models, increasing their accessibility to policy makers. Recent research can improve pest surveillance programs accounting for real-world constraints. Social science examining individual farmer behaviours has informed biosecurity policy; taking a broader socio-cultural approach to better understand farming networks has the potential to change behaviours in a new way. When encouraging public recreationists to adopt positive biosecurity behaviours communications must align with their values. Bringing together the human, animal, plant and environmental health sectors to address biosecurity risks in a common and systematic manner within the One Biosecurity concept can be achieved through multi-disciplinary working involving the life, physical and social sciences with the support of legislative bodies and the public.


2000 ◽  
Vol 151 (8) ◽  
pp. 290-297
Author(s):  
Stephan Hatt

The expansion of the traffic network, in particular the construction of highways, has continuously diminished and divided into small sections the habitat of wild-living animals during the last decades. However, these negative effects can be minimised if suitable measures with regard to line-conduction and construction are taken against. One of these possibilities are the sown-down overbridges. It is essential that these constructions are planned and built in order to meet the requirements of their future users – the various wild-living animals. This study investigates the success of one of these sown-down overbridges. It is this the Loterbuck-overbridge on the A 4.2.9 near Henggart in the canton of Zurich, Switzerland. The focus of this investigation was to find out which species of wild-living animals use the bridge and how much it is frequented. Local people and specialists of the region were interviewed and tracks were picked up on site. Taking into consideration five criteria (species of wild-living animals, positioning and number of overbridges nearby, dimensioning and design of the individual overbridges), the interviews and tracks were assessed. The Loterbuck-overbridge is used by all larger wild-living animals of the region. Especially the browsing and rubbing tracks of deer show that the overbridge has been accepted not only as sown-down overbridge but also as habitat.


Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1354
Author(s):  
Sergio E. Medina-Cuéllar ◽  
Deli N. Tirado-González ◽  
Marcos Portillo-Vázquez ◽  
Sergio Orozco-Cirilo ◽  
Marco A. López-Santiago ◽  
...  

Utilization of maize stover to the production of meat and milk and saving the grains for human consumption would be one strategy for the optimal usage of resources. Variance and tendency analyses were applied to find the optimal nitrogen (N) fertilization dose (0, 100, 145, 190, 240, and 290 kg/ha) for forage (F), stover (S), cob (C), and grain (G) yields, as well as the optimal grain-to-forage, cob-to-forage, and cob-to-stover ratios (G:F, C:F, and C:S, respectively). The study was performed in central Mexico (20.691389° N and −101.259722° W, 1740 m a.m.s.l.; Cwa (Köppen), 699 mm annual precipitation; alluvial soils). N-190 and N-240 improved the individual yields and ratios the most. Linear and quadratic models for CDM, GDM, and G:F ratio had coefficients of determination (R2) of 0.20–0.46 (p < 0.03). Cubic showed R2 = 0.30–0.72 (p < 0.02), and the best models were for CDM, GDM, and the G:F, C:F, and C:S DM ratios (R2 = 0.60–0.72; p < 0.0002). Neither SHB nor SDM negatively correlated with CDM or GDM (r = 0.23–0.48; p < 0.0001). Excess of N had negative effects on forage, stover, cobs, and grains yields, but optimal N fertilization increased the proportion of the G:F, C:F, and C:S ratios, as well as the SHB and SDM yields, without negative effects on grain production.


2021 ◽  
Vol 75 (3) ◽  
Author(s):  
Nick A. R. Jones ◽  
Helen C. Spence-Jones ◽  
Mike Webster ◽  
Luke Rendell

Abstract Learning can enable rapid behavioural responses to changing conditions but can depend on the social context and behavioural phenotype of the individual. Learning rates have been linked to consistent individual differences in behavioural traits, especially in situations which require engaging with novelty, but the social environment can also play an important role. The presence of others can modulate the effects of individual behavioural traits and afford access to social information that can reduce the need for ‘risky’ asocial learning. Most studies of social effects on learning are focused on more social species; however, such factors can be important even for less-social animals, including non-grouping or facultatively social species which may still derive benefit from social conditions. Using archerfish, Toxotes chatareus, which exhibit high levels of intra-specific competition and do not show a strong preference for grouping, we explored the effect of social contexts on learning. Individually housed fish were assayed in an ‘open-field’ test and then trained to criterion in a task where fish learnt to shoot a novel cue for a food reward—with a conspecific neighbour visible either during training, outside of training or never (full, partial or no visible presence). Time to learn to shoot the novel cue differed across individuals but not across social context. This suggests that social context does not have a strong effect on learning in this non-obligatory social species; instead, it further highlights the importance that inter-individual variation in behavioural traits can have on learning. Significance statement Some individuals learn faster than others. Many factors can affect an animal’s learning rate—for example, its behavioural phenotype may make it more or less likely to engage with novel objects. The social environment can play a big role too—affecting learning directly and modifying the effects of an individual’s traits. Effects of social context on learning mostly come from highly social species, but recent research has focused on less-social animals. Archerfish display high intra-specific competition, and our study suggests that social context has no strong effect on their learning to shoot novel objects for rewards. Our results may have some relevance for social enrichment and welfare of this increasingly studied species, suggesting there are no negative effects of short- to medium-term isolation of this species—at least with regards to behavioural performance and learning tasks.


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