EpidVis: A visual web querying tool for animal epidemiology surveillance

2019 ◽  
Vol 19 (1) ◽  
pp. 48-64 ◽  
Author(s):  
Samiha Fadloun ◽  
Arnaud Sallaberry ◽  
Alizé Mercier ◽  
Elena Arsevska ◽  
Mathieu Roche ◽  
...  
Keyword(s):  
Information Integration ◽  
Disease Surveillance ◽  
User Study ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Early Warning Systems ◽  
External Information ◽  
Accurate Information ◽  
Domain Experts ◽  
Epidemic Intelligence

The use of electronic media for the detection and monitoring of animal disease outbreaks is crucial for disease surveillance and early warning systems. Animal health specialists regularly query web pages using various formulations to obtain up-to-date news on disease outbreaks. This task, however, is often manual and time-consuming. Visualization techniques can nevertheless facilitate their web searches, compared to traditional searches. This article presents EpidVis, a visual web query tool designed for experts in animal health, conducting epidemic intelligence activities from news sources on the Internet. It consists of several views that help the domain experts efficiently build and launch queries, as well as visualize the results. Moreover, it supports external information integration to help domain experts enrich their knowledge and adapt their queries. EpidVis was assessed considering usability (user study) and usefulness for experts (case study). The results show that our tool helps domain experts in their daily surveillance tasks, allowing them to extract in timely manner accurate information on disease outbreaks from the web.

scholarly journals Increasing risks for emerging infectious diseases within a rapidly changing High Asia

AMBIO ◽  
2021 ◽  
Author(s):  
Charudutt Mishra ◽  
Gustaf Samelius ◽  
Munib Khanyari ◽  
Prashanth Nuggehalli Srinivas ◽  
Matthew Low ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Disease Surveillance ◽  
Current Knowledge ◽  
Animal Health ◽  
Emerging Infectious Diseases ◽  
Disease Outbreaks ◽  
Global Risk ◽  
Disease Surveillance System ◽  
High Asia ◽  
Ecologically Sustainable

AbstractThe cold and arid mountains and plateaus of High Asia, inhabited by a relatively sparse human population, a high density of livestock, and wildlife such as the iconic snow leopard Panthera uncia, are usually considered low risk for disease outbreaks. However, based on current knowledge about drivers of disease emergence, we show that High Asia is rapidly developing conditions that favor increased emergence of infectious diseases and zoonoses. This is because of the existing prevalence of potentially serious pathogens in the system; intensifying environmental degradation; rapid changes in local ecological, socio-ecological, and socio-economic factors; and global risk intensifiers such as climate change and globalization. To better understand and manage the risks posed by diseases to humans, livestock, and wildlife, there is an urgent need for establishing a disease surveillance system and improving human and animal health care. Public health must be integrated with conservation programs, more ecologically sustainable development efforts and long-term disease surveillance.

Biosecurity: tools, behaviours and concepts

2020 ◽  
Vol 4 (5) ◽  
pp. 449-452
Author(s):  
Alan MacLeod ◽  
Nicola Spence
Keyword(s):  
Plant Protection ◽  
Human Life ◽  
Animal Health ◽  
Early Warning Systems ◽  
Policy Makers ◽  
Recent Developments ◽  
Surveillance Programs ◽  
Harmful Organisms ◽  
The One ◽  
Biosecurity Practices

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.

scholarly journals Evaluating the Bovine Tuberculosis Eradication Mechanism and Its Risk Factors in England’s Cattle Farms

2021 ◽  
Vol 18 (7) ◽  
pp. 3451
Author(s):  
Tabassom Sedighi ◽  
Liz Varga
Keyword(s):  
Risk Factors ◽  
Bovine Tuberculosis ◽  
Animal Health ◽  
Dynamic Bayesian Network ◽  
Policy Makers ◽  
Domain Experts ◽  
Actual Experience ◽  
Complex Evaluation ◽  
Risk Areas ◽  
Cattle Farms

Controlling bovine tuberculosis (bTB) disease in cattle farms in England is seen as a challenge for farmers, animal health, environment and policy-makers. The difficulty in diagnosis and controlling bTB comes from a variety of factors: the lack of an accurate diagnostic test which is higher in specificity than the currently available skin test; isolation periods for purchased cattle; and the density of active badgers, especially in high-risk areas. In this paper, to enable the complex evaluation of bTB disease, a dynamic Bayesian network (DBN) is designed with the help of domain experts and available historical data. A significant advantage of this approach is that it represents bTB as a dynamic process that evolves periodically, capturing the actual experience of testing and infection over time. Moreover, the model demonstrates the influence of particular risk factors upon the risk of bTB breakdown in cattle farms.

scholarly journals Examining local perspectives on the influence of climate change on the health of Hamer pastoralists and their livestock in Ethiopia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Samuel Lumborg ◽  
Samuel Tefera ◽  
Barry Munslow ◽  
Siobhan M. Mor
Keyword(s):  
Climate Change ◽  
Water Scarcity ◽  
Health Workers ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Vulnerable Groups ◽  
Local Health ◽  
Framework Analysis ◽  
Healthcare Facilities ◽  
Grazing Lands

AbstractThis study explores the perceived influence of climate change on the health of Hamer pastoralists and their livestock in south-western Ethiopia. A combination of focus group discussions and key informant interviews were conducted with Hamer communities as well as local health workers, animal health workers and non-governmental organisation (NGO) staff. Thematic framework analysis was used to analyse the data. Reductions in rangeland, erratic rainfall, recurrent droughts and loss of seasonality were perceived to be the biggest climate challenges influencing the health and livelihoods of the Hamer. Communities were travelling greater distances to access sufficient grazing lands, and this was leading to livestock deaths and increases in ethnic violence. Reductions in suitable rangeland were also precipitating disease outbreaks in animals due to increased mixing of different herds. Negative health impacts in the community stemmed indirectly from decreases in livestock production, uncertain crop harvests and increased water scarcity. The remoteness of grazing lands has resulted in decreased availability of animal milk, contributing to malnutrition in vulnerable groups, including children. Water scarcity in the region has led to utilisation of unsafe water sources resulting in diarrhoeal illnesses. Further, seasonal shifts in climate-sensitive diseases such as malaria were also acknowledged. Poorly resourced healthcare facilities with limited accessibility combined with an absence of health education has amplified the community’s vulnerability to health challenges. The resilience and ambition for livelihood diversification amongst the Hamer was evident. The introduction of camels, increase in permanent settlements and new commercial ideas were transforming their livelihood strategies. However, the Hamer lack a voice to express their perspectives, challenges and ambitions. There needs to be collaborative dynamic dialogue between pastoral communities and the policy-makers to drive sustainable development in the area without compromising the values, traditions and knowledge of the pastoralists.

scholarly journals Web monitoring of emerging animal infectious diseases integrated in the French Animal Health Epidemic Intelligence System

PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0199960 ◽  
Author(s):  
Elena Arsevska ◽  
Sarah Valentin ◽  
Julien Rabatel ◽  
Jocelyn de Goër de Hervé ◽  
Sylvain Falala ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Animal Health ◽  
Intelligence System ◽  
Epidemic Intelligence

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health, public health, and One Health

2021 ◽  
pp. 104063872110030
Author(s):  
Craig N. Carter ◽  
Jacqueline L. Smith
Keyword(s):  
Public Health ◽  
Data Streams ◽  
One Health ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Large Data ◽  
Health Impact ◽  
The United States ◽  
Zoonotic Diseases ◽  
Diagnostic Laboratory

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.

scholarly journals A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health

2021 ◽  
Vol 5 (4) ◽  
pp. 57
Author(s):  
Yusuf Sermet ◽  
Ibrahim Demir
Keyword(s):  
Public Health ◽  
Semantic Web ◽  
Information Needs ◽  
Heuristic Algorithms ◽  
Accurate Information ◽  
Domain Experts ◽  
Web Technologies ◽  
Public Health Departments ◽  
Web Framework ◽  
Control And Prevention

The COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources. However, several challenges and obstacles hold back the wide adoption of virtual assistants by public health departments and organizations. This paper presents the Instant Expert, an open-source semantic web framework to build and integrate voice-enabled smart assistants (i.e., chatbots) for any web platform regardless of the underlying domain and technology. The component allows non-technical domain experts to effortlessly incorporate an operational assistant with voice recognition capability into their websites. Instant Expert is capable of automatically parsing, processing, and modeling Frequently Asked Questions pages as an information resource as well as communicating with an external knowledge engine for ontology-powered inference and dynamic data use. The presented framework uses advanced web technologies to ensure reusability and reliability, and an inference engine for natural-language understanding powered by deep learning and heuristic algorithms. A use case for creating an informatory assistant for COVID-19 based on the Centers for Disease Control and Prevention (CDC) data is presented to demonstrate the framework’s usage and benefits.

Syndromic surveillance by veterinary practitioners: a pilot study in the pig sector

2019 ◽  
Vol 184 (18) ◽  
pp. 556-556
Author(s):  
Carla Correia-Gomes ◽  
Madeleine Kate Henry ◽  
Susanna Williamson ◽  
Richard M Irvine ◽  
George J Gunn ◽  
...  
Keyword(s):  
Pilot Study ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Animal Health ◽  
Relevant Information ◽  
Health Data ◽  
Vital Role ◽  
Case Definitions ◽  
Pig Farms ◽  
Incident Reports

Traditional indicator-based livestock surveillance has been focused on case definitions, definitive diagnoses and laboratory confirmation. The use of syndromic disease surveillance would increase the population base from which animal health data are captured and facilitate earlier detection of new and re-emerging threats to animal health. Veterinary practitioners could potentially play a vital role in such activities. In a pilot study, specialist private veterinary practitioners (PVP) working in the English pig industry were asked to collect and transfer background data and disease incident reports for pig farms visited during the study period. Baseline data from 110 pig farms were received, along with 68 disease incident reports. Reports took an average of approximately 25 minutes to complete. Feedback from the PVPs indicated that they saw value in syndromic surveillance. Maintenance of anonymity in the outputs would be essential, as would timely access for the PVPs to relevant information on syndromic trends. Further guidance and standardisation would also be required. Syndromic surveillance by PVPs is possible for the pig industry. It has potential to fill current gaps in the collection of animal health data, as long as the engagement and participation of data providers can be obtained and maintained.

scholarly journals Mobilising community-based research on zoonotic infections: A case study of longitudinal cohorts in Vietnam

2015 ◽  
Vol 8 (1) ◽  
pp. 23-42 ◽  
Author(s):  
Karen Saylors ◽  
Tue Ngo Tri ◽  
Toan Tran Khanh ◽  
Kiet Bach Tuan ◽  
Heiman FL Wertheim ◽  
...  
Keyword(s):  
Rural Communities ◽  
Participatory Research ◽  
Disease Transmission ◽  
Disease Surveillance ◽  
Animal Health ◽  
Community Based Research ◽  
Zoonotic Infections ◽  
Response Capacity ◽  
Domestic Livestock ◽  
Study Sites

We initiated the Vietnam Initiative on Zoonotic Infections (VIZIONS) research program to better understand the epidemiology of disease transmission at the human–animal interface in Vietnamese rural communities and to integrate One Health approaches to disease surveillance. We established a longitudinal community cohort study of individuals with occupational exposure to animals, which involves concurrent targeted sampling from domestic livestock species and follow-up monitoring of human clinical cases. The project was implemented by government agencies at the provincial and district levels of the public health and animal health sectors in Vietnam. Engaging with rural communities builds response capacity at the grassroots level, and has improved dialogue between local stakeholders responsible for monitoring human and animal health. Here we describe the process of initiating participatory research and cohort field implementation over the first year in two study sites in Vietnam.Keywords: Vietnam, participatory research, zoonoses, field epidemiology

scholarly journals A Study on Visual Representations for Active Plant Wall Data Analysis

Data ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 74 ◽  
Author(s):  
Kahin Akram Hassan ◽  
Yu Liu ◽  
Lonni Besançon ◽  
Jimmy Johansson ◽  
Niklas Rönnberg
Keyword(s):  
User Study ◽  
Line Graph ◽  
Well Being ◽  
Future Research ◽  
Temporal Data ◽  
Indoor Climate ◽  
Structured Interviews ◽  
Future Directions ◽  
Domain Experts ◽  
The Status

The indoor climate is closely related to human health, well-being, and comfort. Thus, an understanding of the indoor climate is vital. One way to improve the indoor climates is to place an aesthetically pleasing active plant wall in the environment. By collecting data using sensors placed in and around the plant wall both the indoor climate and the status of the plant wall can be monitored and analyzed. This manuscript presents a user study with domain experts in this field with a focus on the representation of such data. The experts explored this data with a Line graph, a Horizon graph, and a Stacked area graph to better understand the status of the active plant wall and the indoor climate. Qualitative measures were collected with Think-aloud protocol and semi-structured interviews. The study resulted in four categories of analysis tasks: Overview, Detail, Perception, and Complexity. The Line graph was found to be preferred for use in providing an overview, and the Horizon graph for detailed analysis, revealing patterns and showing discernible trends, while the Stacked area graph was generally not preferred. Based on these findings, directions for future research are discussed and formulated. The results and future directions of this research can facilitate the analysis of multivariate temporal data, both for domain users and visualization researchers.

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