VetCompass Australia: A National Big Data Collection System for Veterinary Science

VetCompass Australia is veterinary medical records-based research coordinated with the global VetCompass endeavor to maximize its quality and effectiveness for Australian companion animals (cats, dogs, and horses). Bringing together all seven Australian veterinary schools, it is the first nationwide surveillance system collating clinical records on companion-animal diseases and treatments. VetCompass data service collects and aggregates real-time, clinical records for researchers to interrogate, delivering sustainable and cost-effective access to data from hundreds of veterinary practitioners nationwide. Analysis of these clinical records will reveal geographical and temporal trends in the prevalence of inherited and acquired diseases, identify frequently prescribed treatments, revolutionize clinical auditing, help the veterinary profession to rank research priorities, and assure evidence-based companion-animal curricula in veterinary schools. VetCompass Australia will progress in three phases: (1) roll-out of the VetCompass platform to harvest Australian veterinary clinical record data; (2) development and enrichment of the coding (data-presentation) platform; and (3) creation of a world-first, real-time surveillance interface with natural language processing (NLP) technology. The first of these three phases is described in the current article. Advances in the collection and sharing of records from numerous practices will enable veterinary professionals to deliver a vastly improved level of care for companion animals that will improve their quality of life

Epidemics for all? Governing Health in a Global Age

Current global health policy is dominated by a preoccupation with infectious diseases and in particular with emerging or re-emerging infectious diseases that threaten to ‘break out’ of established patterns of prevalence or virulence into new areas and new victims. This paper seeks to link a set of dominant narratives about epidemics and infectious disease with what is often called the architecture, or organizational landscape, of global health policy. A series of dichotomies helps to distinguish and valorise epidemics policies. Fast- versus slow-twitch models of disease, global versus local models of culture, and official versus unofficial models of knowledge provide categories according to which policies can be evaluated, designed and implemented. As a result, policy on the global scale has tended to be oriented towards addressing highly time-focussed outbreaks that threaten to cross international boundaries rather than longer-term endemic problems the affect the most vulnerable people. Failure to address such long-term changes may make the whole global system itself more vulnerable over time. Recent changes in the organizational landscape of global health have created new power relations, as well as uncertainty about which organizations, if any, are ‘in control’ of global health policy. In addition, the WHO’s revised International Health Regulations, fully implemented in 2007, entail significant changes for way epidemics are governed at a global scale, embracing unofficial sources of information for the first time. Issues of coordination, integration and harmonization have accordingly come to the fore. This paper will analyze how this new organizational landscape and the framing of epidemic disease interact. Centrally, it will explore what effect that interaction has on the ability of the global health community to respond to disease threats of all kinds. It will argue that neither organizational complexity or ‘openness’ nor rigid lines of command-and-control can ensure resilience in the face of unpredictable risks. Instead, methods are needed to encourage feedback and integration between competing narratives of health and diseasESR

The burden of neglected tropical diseases in Ethiopia, and opportunities for integrated control and elimination

Background: Neglected tropical diseases (NTDs) are a group of chronic parasitic diseases and related conditions that are the most common diseases among the 2·7 billion people globally living on less than US$2 per day. In response to the growing challenge of NTDs, Ethiopia is preparing to launch a NTD Master Plan. The purpose of this review is to underscore the burden of NTDs in Ethiopia, highlight the state of current interventions, and suggest ways forward. Results: This review indicates that NTDs are significant public health problems in Ethiopia. From the analysis reported here, Ethiopia stands out for having the largest number of NTD cases following Nigeria and the Democratic Republic of Congo. Ethiopia is estimated to have the highest burden of trachoma, podoconiosis and cutaneous leishmaniasis in sub-Saharan Africa (SSA), the second highest burden in terms of ascariasis, leprosy and visceral leishmaniasis, and the third highest burden of hookworm. Infections such as schistosomiasis, trichuriasis, lymphatic filariasis and rabies are also common. A third of Ethiopians are infected with ascariasis, one quarter is infected with trichuriasis and one in eight Ethiopians lives with hookworm or is infected with trachoma. However, despite these high burdens of infection, the control of most NTDs in Ethiopia is in its infancy. In terms of NTD control achievements, Ethiopia reached the leprosy elimination target of 1 case/10,000 population in 1999. No cases of human African trypanosomiasis have been reported since 1984. Guinea worm eradication is in its final phase. The Onchocerciasis Control Program has been making steady progress since 2001. A national blindness survey was conducted in 2006 and the trachoma program has kicked off in some regions. Lymphatic Filariasis, podoconiosis and rabies mapping are underway. Conclusion: Ethiopia bears a significant burden of NTDs compared to other SSA countries. To achieve success in integrated control of NTDs, integrated mapping, rapid scale up of interventions and operational research into co implementation of intervention packages will be crucial

Adoption of digital tools in the context of the COVID-19 pandemic in the Region of the Americas - the Go.Data experience

The COVID-19 pandemic has accelerated the growth of digital health tools. Although a number of different tools exist to support field data collection in the context of outbreak response, they have not been sufficient. This prompted the World Health Organization (WHO) to collaborate with the Global Outbreak Alert and Response Network (GOARN) and GOARN partners to develop a comprehensive system, Go.Data. Go.Data, a digital tool for outbreak response has simplified how countries operationalize and monitor case and contact data. Since the start of the pandemic, WHO and GOARN partners have provided support to Go.Data projects in 65 countries and territories, yet the demand by countries to have documented success cases of Go.Data implementations continues to grow. This viewpoint documents the successful Go.Data implementation frameworks in two countries, Argentina and Guatemala and an academic institution, the University of Texas at Austin

Security and health: Biopolitical health surveillance in China’s digital response to COVID-19

Why is health a security issue now? An emerging paradigm that links epidemics and security concerns has influenced how we think about health and the preparedness of health surveillance. As the ongoing COVID-19 pandemic has swept the world with its tremendous threats to public health and societies, innovative digital health surveillance technologies have been (and continue to be) developed for pandemic surveillance. With a special focus on China’s Health Code system and its implementation in Wuhan since the Wuhan lockdown, this thesis aims to examine the surveillance dynamics of such technological artefacts. In doing so, this thesis applies institutional ethnography (IE) to illustrate how the ruling relations embedded in such assemblages coordinate and organize citizens’ everyday lives. The primary findings of this thesis suggest that Health Code as a health security practice is a flexible and dynamic surveillance assemblage embedded with political classifications and decisions to define and mediate risk in everyday settings, located in a larger network of power relations. The insecurities and anxieties brought by the normalized use of Health Code exacerbate the fear of being classified as sick, as the threat of illness leads people to embrace the current situation and cooperate with the existing surveillance system through the rationalization of collective norms and the valorization and stabilization of data-driven knowledge

Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa

In the context of controlling the current outbreak of Ebola virus disease (EVD), the World Health Organization claimed that ‘critical determinant of epidemic size appears to be the speed of implementation of rigorous control measures’, i.e. immediate follow-up of contact persons during 21 days after exposure, isolation and treatment of cases, decontamination, and safe burials. We developed the Surveillance and Outbreak Response Management System (SORMAS) to improve efficiency and timeliness of these measures. We used the Design Thinking methodology to systematically analyse experiences from field workers and the Ebola Emergency Operations Centre (EOC) after successful control of the EVD outbreak in Nigeria. We developed a process model with seven personas representing the procedures of EVD outbreak control. The SORMAS system architecture combines latest In-Memory Database (IMDB) technology via SAP HANA (in-memory, relational database management system), enabling interactive data analyses, and established SAP cloud tools, such as SAP Afaria (a mobile device management software). The user interface consists of specific front-ends for smartphones and tablet devices, which are independent from physical configurations. SORMAS allows real-time, bidirectional information exchange between field workers and the EOC, ensures supervision of contact follow-up, automated status reports, and GPS tracking. SORMAS may become a platform for outbreak management and improved routine surveillance of any infectious disease. Furthermore, the SORMAS process model may serve as framework for EVD outbreak modelling