Skip to main content

One Health

Description

Tanzania has a disease surveillance infrastructure with national, regional and district offices for human and animal disease surveillance. Electricity shortages and limited communications infrastructure create a challenge for a rapid information exchange of the disease surveillance information. Cell phones revolution provided 75.8% mobile network coverage of the population and 45% of land area in 2005-2013. At the moment 98% of the district centers are covered with the network. The network growth is expected at a pace of 17-25% annually throughout 2015. The following technologies become available for nation-wide use in surveillance: 1) online voice, 2) SMS, 3) mobile web, and 4) Android applications on cell phones. These technologies have different advantages for disease surveillance that are evaluated for proper application.

Objective

In the past few years Tanzania has experienced a cell phone technology revolution presenting new opportunities for disease surveillance improvements. This dynamic environment, challenged with resource constraints and the need for a one-health joint effort for disease surveillance and control, calls for evaluation of technologies for better planning and implementation of future information technology projects in disease surveillance.

Submitted by knowledge_repo… on

Presented August 3, 2018.

The Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) is an integrated One Health surveillance program that has been operating and evolving since 2002. The basic structure of the program will be presented as well as recent surveillance and research successes and challenges.

Presenter

E. Jane Parmley, DVM, PhD, Veterinary Epidemiologist, Public Health Agency of Canada and Canadian Wildlife Health Cooperative 

Description

This presentation introduces the U.S. Department of Homeland Security (DHS) National Bio-Surveillance Integration System (NBIS) and the analytics functionality within the NBIS that integrates and analyzes structured and unstructured data streams across domains to provide inter-agency analysts with an integrated view of threat scenarios. The integration of Human and Animal incidences of Avian Influenza will be used to demonstrate initial capability.

Submitted by elamb on
Description

INDICATOR is a multi-stream open source platform for biosurveillance and outbreak detection, currently focused on Champaign County in Illinois[1]. It has been in production since 2008 and is currently receiving data from emergency departments, patient advisory nurse call center, outpatient convenient care clinic, school absenteeism, animal control, and weather sources. Long term scalability was however compromised during the 2009 H1N1 influenza pandemic as immediate public health needs took priority over our systematic development plan. With the impending addition of veterinary clinic data and recognizing that the health of a community also depends on animal and environmental factors, we decided to revisit the INDICATOR architecture and redesign it to be a more holistic and scalable system. We also decided to revisit the data submission format, keeping in line with the philosophy of making opportunistic secondary use of as much data about the health of a community that we can obtain.

Objective

To redesign INDICATOR for One Health, establish a common data format, and provide for long term scalability.

Submitted by uysz on
Description

In Ukraine in spite of considerable financial expenses on oral immunization of foxes and parenteral immunization of dogs and cats, it is not succeeded to reach considerable results in the fight with rabies. Unfortunately there was a negative tendency to increasing a part of dogs and cats in the structure of rabies disease which are the main source of rabies in people.

Objective

The purpose of the research was to find out the reasons of rabies antropurgisation in Ukraine.

Submitted by teresa.hamby@d… on
Description

Smart governance refers to the emergence of joint action by the health and non-health sectors, public and private actors and citizens. Although, there are growing literature on governance and its potential impact on health, major challenges on collective action across sectors have been witnessed in developing countries like India. In the same line, the current forms of Global Health Governance façades operational issues and does not sufficiently meet the needs at local levels. In light of these perceived shortcomings, the local governance becomes subject of interest and should be debated especially with reference to global urbanization. Rapid and unplanned urbanization followed by the combination of high population density, poverty and lack of infrastructure have more side effects and fostering conditions for communicable diseases to flourish. Evidence suggests that new megacities could be incubators for new epidemic and zoonotic diseases, which can spread more rapidly and become worldwide threats. In India, Ministry of Urban Development initiated the concept of converting few major cities into “Smart City” in 2015-16. However, one of the major critiques of available smart city guideline is that it has no such focus on prevention of emerging and/or re-emerging zoonotic diseases. The emergence and/or re-emergence of zoonotic diseases should be considered as potential threats for these upcoming Smart Cities and hence, should be addressed by one health approach (health and non-health sectors, public and private actors) through an appropriate local governance strategy. With rapid urbanization and healthcare transformation in India, the operationalization of one health approach might become a major challenge, because of, the absence of the systematic effect at the national level and urban cities are riven between central, state and municipal authorities in terms of health policy, planning, health needs etc. There is also lack of information sharing or collaborations between the health and non-health sectors, public and private actors at the city level. Understanding these challenges can offer important lessons for strengthening both local urban governance and One Health.

Objective:

The present study aims to operationalize one health approach through local urban governance system in a rapidly urbanized Indian city, Ahmedabad, India. In Ahmedabad (proposed Smart city), Gujarat, India: 1. To understand the pattern of zoonotic diseases in reference to urban governance system 2. To develop a conceptual One Health Governance framework with reference to zoonotic diseases 3. To assess the key indicators for convergence for inter-sectorial professional collaborations in One Health

Submitted by elamb on
Description

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.

Objective:

Integrate and streamline the collection and analysis of environmental, veterinary, and vector zoonotic data using a One Health approach to data system development.

Submitted by elamb on
Description

There is an urgent need for diagnostic strategies for infections which are host-independent, so as to effectively track zoonotic spread, monitor animal carriers of pathogens, and evaluate transmission dynamics. Infection of a host - pathogen or human- by an animal results in recognition by the immune response, which consequently causes release of inflammatory mediators. Many scientists have explored the use of cytokines as diagnostic indicators of disease, but the conserved nature of the immune response in humans and animals results in cross-reactivity among many pathogens, making evaluation of the results difficult, especially in high disease burden populations. Measuring the pathogen-specific signature, however, is advantageous - as it offers discrete identification of active infection, and discrimination from exposure. It also offers a universal strategy that can be applied to human and animal hosts of infection - allowing for One Health Biosurveillance. Achieving this, however, requires the development of a) tailored strategies for the measurement of biochemically disparate pathogen signatures in clinical samples and b) ultra-sensitive detection of such signatures in the host. The sensor team at Los Alamos National Laboratory is working on both of these aspects, and the development of One Health Diagnostic platforms, the focus of the work presented here.

Objective:

Our goal is to develop deployable strategies for infectious disease diagnosis at the point-of-care that are applicable to multiple hosts of infection - conforming to the global One Health Strategy for diagnostics. We aim to develop methods that do not require prior knowledge of the pathogen in question, and can facilitate rapid and effective decision-making and situational awareness.

Submitted by elamb on