scholarly journals PO 8460 PANDORA-ID NET (PAN-AFRICAN NETWORK FOR RAPID RESEARCH, RESPONSE, RELIEF AND PREPAREDNESS FOR INFECTIOUS DISEASES EPIDEMICS)

2019 ◽  
Vol 4 (Suppl 3) ◽  
pp. A40.2-A40
Author(s):  
Francine Ntoumi ◽  
Francine Zumla ◽  
Giuseppe Ippolito ◽  
Francesco Vairo
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Control Measures ◽  
Rapid Diagnostics ◽  
Public Health Response ◽  
Effective Response ◽  
Zoonotic Infections ◽  
Pan African

BackgroundNew and re-emerging infectious disease outbreaks continue to cause much human suffering and loss of life worldwide. Since Africa has experienced repeated outbreaks of zoonotic infections, an important need exists to improve local and regional capacities to identify and respond to zoonotic outbreaks. PANDORA ID-NET is an EDCTP-supported ‘ONE Human and Animal HEALTH’ multidisciplinary consortium of 24 partner institutions (15 African and 9 European) in 9 African and 4 European countries.MethodsOur overall aim is to strengthen regional and pan-African capacities and systems for enabling a rapid and effective response to infectious diseases with epidemic potential, arising from within Africa or imported from overseas. We aim to build laboratory and public health capabilites for rapid detection and surveillance of pathogens from human and animal sources. This will include obtaining accelerated evidence for optimal clinical management of patients, infection control measures, and public health response during outbreaks. Capacities will be built: a) for performing multisite clinical trials (evaluating rapid diagnostics, biomarkers, a range of treatments, vaccines and operational research studies) and, b) for timely collection, analysis and communication of information.ConclusionOur activities will be aligned to EDCTP regional Networks of Excellence, Africa CDC and other relevant global and regional initiatives, thus maximizing complementarity and achieving a multiplier effect, facilitating rapid policy implementation of outputs.

scholarly journals Re-emerging Infectious Disease (RED) Alert tool

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Maneesha Chitanvis ◽  
Ashlynn Daughton ◽  
Forest M Altherr ◽  
Geoffery Fairchild ◽  
William Rosenberger ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Infectious Diseases ◽  
Disease Incidence ◽  
Emerging Infectious Disease ◽  
Control Measures ◽  
Public Health Response ◽  
Incidence Trends ◽  
Effective Public Health ◽  
Emergence Event

Objective: Although relying on verbal definitions of "re-emergence", descriptions that classify a “re-emergence” event as any significant recurrence of a disease that had previously been under public health control, and subjective interpretations of these events is currently the conventional practice, this has the potential to hinder effective public health responses. Defining re-emergence in this manner offers limited ability for ad hoc analysis of prevention and control measures and facilitates non-reproducible assessments of public health events of potentially high consequence. Re-emerging infectious disease alert (RED Alert) is a decision-support tool designed to address this issue by enhancing situational awareness by providing spatiotemporal context through disease incidence pattern analysis following an event that may represent a local (country-level) re-emergence. The tool’s analytics also provide users with the associated causes (socioeconomic indicators) related to the event, and guide hypothesis-generation regarding the global scenario.Introduction: Definitions of “re-emerging infectious diseases” typically encompass any disease occurrence that was a historic public health threat, declined dramatically, and has since presented itself again as a significant health problem. Examples include antimicrobial resistance leading to resurgence of tuberculosis, or measles re-appearing in previously protected communities. While the language of this verbal definition of “re-emergence” is sensitive enough to capture most epidemiologically relevant resurgences, its qualitative nature obfuscates the ability to quantitatively classify disease re-emergence events as such.Methods: Our tool automatically computes historic disease incidence and performs trend analyses to help elucidate events which a user may considered a true re-emergence in a subset of pertinent infectious diseases (measles, cholera, yellow fever, and dengue). The tool outputs data visualizations that illustrate incidence trends in diverse and informative ways. Additionally, we categorize location and incidence-specific indicators for re-emergence to provide users with associated indicators as well as justifications and documentation to guide users’ next steps. Additionally, the tool also houses interactive maps to facilitate global hypothesis-generation.Results: These outputs provide historic trend pattern analyses as well as contextualization of the user’s situation with similar locations. The tool also broadens users' understanding of the given situation by providing related indicators of the likely re-emergence, as well as the ability to investigate re-emergence factors of global relevance through spatial analysis and data visualization.Conclusions: The inability to categorically name a re-emergence event as such is due to lack of standardization and/or availability of reproducible, data-based evidence, and hinders timely and effective public health response and planning. While the tool will not explicitly call out a user scenario as categorically re-emergent or not, by providing users with context in both time and space, RED Alert aims to empower users with data and analytics in order to substantially enhance their contextual awareness; thus, better enabling them to formulate plans of action regarding re-emerging infectious disease threats at both the country and global level.

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 Outbreak of trichinellosis related to eating imported wild boar meat, Belgium, 2014

2016 ◽  
Vol 21 (37) ◽  
Author(s):  
Peter Messiaen ◽  
Annemie Forier ◽  
Steven Vanderschueren ◽  
Caroline Theunissen ◽  
Jochen Nijs ◽  
...  
Keyword(s):  
Public Health ◽  
Wild Boar ◽  
Sharp Decrease ◽  
Incidence Rates ◽  
Control Measures ◽  
The European Union ◽  
Public Health Response ◽  
Local Public Health ◽  
Large Outbreak ◽  
Wild Boar Meat

Trichinellosis is a rare parasitic zoonosis caused by Trichinella following ingestion of raw or undercooked meat containing Trichinella larvae. In the past five years, there has been a sharp decrease in human trichinellosis incidence rates in the European Union due to better practices in rearing domestic animals and control measures in slaughterhouses. In November 2014, a large outbreak of trichinellosis occurred in Belgium, related to the consumption of imported wild boar meat. After a swift local public health response, 16 cases were identified and diagnosed with trichinellosis. Of the 16 cases, six were female. The diagnosis was confirmed by serology or the presence of larvae in the patients’ muscle biopsies by histology and/or PCR. The ensuing investigation traced the wild boar meat back to Spain. Several batches of imported wild boar meat were recalled but tested negative. The public health investigation allowed us to identify clustered undiagnosed cases. Early warning alerts and a coordinated response remain indispensable at a European level.

scholarly journals Ethics of instantaneous contact tracing using mobile phone apps in the control of the COVID-19 pandemic

2020 ◽  
Vol 46 (7) ◽  
pp. 427-431 ◽  
Author(s):  
Michael J Parker ◽  
Christophe Fraser ◽  
Lucie Abeler-Dörner ◽  
David Bonsall
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Mobile Phone ◽  
Public Health Practice ◽  
Disease Outbreaks ◽  
Contact Tracing ◽  
Mobile Phone Data ◽  
Public Health Response ◽  
Infectious Disease Outbreaks ◽  
Ethical Implications

In this paper we discuss ethical implications of the use of mobile phone apps in the control of the COVID-19 pandemic. Contact tracing is a well-established feature of public health practice during infectious disease outbreaks and epidemics. However, the high proportion of pre-symptomatic transmission in COVID-19 means that standard contact tracing methods are too slow to stop the progression of infection through the population. To address this problem, many countries around the world have deployed or are developing mobile phone apps capable of supporting instantaneous contact tracing. Informed by the on-going mapping of ‘proximity events’ these apps are intended both to inform public health policy and to provide alerts to individuals who have been in contact with a person with the infection. The proposed use of mobile phone data for ‘intelligent physical distancing’ in such contexts raises a number of important ethical questions. In our paper, we outline some ethical considerations that need to be addressed in any deployment of this kind of approach as part of a multidimensional public health response. We also, briefly, explore the implications for its use in future infectious disease outbreaks.

scholarly journals Family cluster of three cases of monkeypox imported from Nigeria to the United Kingdom, May 2021

2021 ◽  
Vol 26 (32) ◽  
Author(s):  
Gemma Hobson ◽  
James Adamson ◽  
Hugh Adler ◽  
Richard Firth ◽  
Susan Gould ◽  
...  
Keyword(s):  
Public Health ◽  
United Kingdom ◽  
Index Case ◽  
West African ◽  
Control Measures ◽  
Public Health Response ◽  
Imported Case ◽  
The United Kingdom ◽  
Health Response ◽  
The Family

Most reported cases of human monkeypox occur in Central and West Africa, where the causing virus is endemic. We describe the identification and public health response to an imported case of West African monkeypox from Nigeria to the United Kingdom (UK) in May 2021. Secondary transmission from the index case occurred within the family to another adult and a toddler. Concurrent COVID-19-related control measures upon arrival and at the hospital, facilitated detection and limited the number of potential contacts.

scholarly journals Emerging viral infectious disease threat: Why Tanzania is not in a safe zone

2016 ◽  
Vol 18 (3) ◽  
Author(s):  
Chacha D. Mangu ◽  
Christina K. Manyama ◽  
Henry Msila ◽  
Lwitiho Sudi ◽  
Godlove Chaula ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Infectious Diseases ◽  
Emerging Infectious Diseases ◽  
Disease Outbreaks ◽  
Early Response ◽  
Emerging Diseases ◽  
Surveillance Systems ◽  
Viral Infectious Disease ◽  
The Government

Emerging diseases are global threat towards human existence. Every country is exposed to potentially emergence of infectious diseases. Several factor such as changes in ecology, climate and human demographics play different roles in a complex mechanism contributing to the occurrence of infectious diseases. Important aspects towards control in case of outbreaks are surveillance, preparedness and early response. Tanzania should therefore take opportunity of the calm situation currently present, to prepare. Except for HIV/AIDS, Tanzania has not experienced a major public health threat. However, the question is, is the country safe from emerging and re-emerging infectious diseases? In this article we try to explore the danger of emerging infectious disease (EID) epidemics in Tanzania and the risks attached if an outbreak is to occur. The aim is to formulate recommendations to the government, responsible authorities and general population of what can be done to improve the level of EID preparedness in the country. In conclusion, it is important to strengthen the capacity of community and healthcare staffs on how to respond to potential infectious disease outbreaks. Community-based surveillance systems should be incorporated into the national systems for early detection of public health events. It is also critical to enhance one health approach to increase cross-sectoral information sharing, surveillance and interventional strategies as regards to preparedness and response to disease outbreaks.

Innovative technology advances public health disease surveillance in developing countries

Impact ◽  
2019 ◽  
Vol 2019 (8) ◽  
pp. 44-45
Author(s):  
Raita Tamaki
Keyword(s):  
Public Health ◽  
Developing Countries ◽  
Disease Surveillance ◽  
Public Health Practice ◽  
Disease Outbreaks ◽  
Health Resources ◽  
Cost Effective ◽  
The Philippines ◽  
Control Measures ◽  
Innovative Technology

Disease outbreaks pose a real threat and can be particularly damaging and difficult to control in developing countries where health resources are limited. Key to this is public health surveillance, which is succinctly defined by the WHO as 'an ongoing, systematic collection, analysis and interpretation of health-related data essential to the planning, implementation, and evaluation of public health practice'. This practice is key to informing disease prevention and control measures. Dr Raita Tamaki is a disease surveillance advisor of JICA and his expertise is brought up by 16-year experiences in developing countries, including Papua New Guinea, the Philippines and Kenya. In the Philippines, he was responsible for setting up and managing the hospital and community based surveillance system for comprehensive epidemiological and etiological studies to generate reliable data with technology and provide generalizable evidence for sustainable health system and practice under the Department of Virology, Tohoku University School of Medicine in Sendai, Japan. Currently operating as a disease surveillance advisor in Kenya, Tamaki is working for the Ministry of Health (MoH) as a JICA expert. 'Due to limited capacities and resources in developing countries, more efficient and cost-effective methods with innovative technologies for disease surveillance and outbreak control need to be developed and applied.' he highlights. Tamaki believes that every single figure in health statistics such as mortality has its own story. Imagination towards the stories and innovation in technology for surveillance are two pillars that uphold his enthusiasm for improving public health in developing countries.

Use and effectiveness of mHealth technologies in tracking the spread of infectious disease outbreaks and their implications for the COVID-19 pandemic: a systematic review protocol (Preprint)

2020 ◽  
Author(s):  
Madison Milne-Ives ◽  
Simon Rowland ◽  
Alison McGregor ◽  
J Edward Fitzgerald ◽  
Edward Meinert
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Systematic Review ◽  
Public Health Practice ◽  
Disease Outbreaks ◽  
Digital Technologies ◽  
World Health ◽  
Health Practice ◽  
Public Health Response ◽  
Infectious Disease Outbreaks

BACKGROUND The World Health Organisation (WHO) defines mHealth as medical and public health practice supported by mobile devices. A number of mHealth devices, primarily apps designed to support contact tracing, have been utilised as part of the public health response to the Covid-19 pandemic. The value of mHealth devices in augmenting public health practice is however yet to be defined. OBJECTIVE The study aims to address three research questions: (1) What digital technologies are being used to track the symptoms and spread of infectious disease outbreaks and what strategies do they use to do so? (2) How effective and cost-effective are digital technologies at tracking the spread of infectious disease outbreaks and what are their strengths and limitations? (3) What are the user perspectives on the usability and effectiveness of these technologies? METHODS The PICOS template and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) will be followed for this systematic review. The review will be composed of a literature search, article selection, data extraction, quality appraisal, data analysis, and a discussion of the implications of the data for the current COVID-19 pandemic. RESULTS N/A CONCLUSIONS This systematic review will summarise the available evidence for use of mHealth devices for tracking the spread of infectious disease outbreaks. These results are potentially valuable for informing public health policy during infectious disease outbreaks such as the current Covid-19 pandemic.

scholarly journals The baseline characteristics and interim analyses of the high-risk sentinel cohort of the Vietnam Initiative on Zoonotic InfectiONS (VIZIONS)

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Juan J. Carrique-Mas ◽  
Ngo T. Tue ◽  
Juliet E. Bryant ◽  
Karen Saylors ◽  
Nguyen V. Cuong ◽  
...  
Keyword(s):  
High Risk ◽  
Health Workers ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Community Based ◽  
Wild Pigs ◽  
Exotic Animals ◽  
Zoonotic Infections ◽  
Set Up ◽  
Bamboo Rat

Abstract The Vietnam Initiative for Zoonotic Infections (VIZIONS) includes community-based ‘high-risk sentinel cohort’ (HRSC) studies investigating individuals at risk of zoonotic infection due to occupational or residential exposure to animals. A total of 852 HRSC members were recruited between March 2013 and August 2014 from three provinces (Ha Noi, Dak Lak and Dong Thap). The most numerous group (72.8%) corresponded to individuals living on farms, followed by slaughterers (16.3%) and animal health workers (8.5%). Nasal/pharyngeal and rectal swabs were collected from HRSC members at recruitment and after notifying illness. Exposure to exotic animals (including wild pigs, porcupine, monkey, civet, bamboo rat and bat) was highest for the Dak Lak cohort (53.7%), followed by Ha Noi (13.7%) and Dong Thap (4.0%). A total of 26.8% of individuals reported consumption of raw blood over the previous year; 33.6% slaughterers reported no use of protective equipment at work. Over 686 person-years of observation, 213 episodes of suspect infectious disease were notified, equivalent of 0.35 reports per person-year. Responsive samples were collected from animals in the farm cohort. There was noticeable time and space clustering of disease episodes suggesting that the VIZIONS set up is also suitable for the formal epidemiological investigation of disease outbreaks.

scholarly journals Research Approaches for Improved Pro-Poor Control of Zoonoses

2007 ◽  
Vol 28 (2_suppl2) ◽  
pp. S345-S356 ◽  
Author(s):  
Esther Schelling ◽  
Delia Grace ◽  
A. Lee Willingham ◽  
Tom Randolph
Keyword(s):  
Public Health ◽  
Developing Countries ◽  
Control Strategies ◽  
Evidence Base ◽  
Control Measures ◽  
Diagnostic Tools ◽  
Informal Markets ◽  
Zoonotic Infections ◽  
Livestock Sector ◽  
The Impact

Background Developing countries face difficulties in sustainably utilizing tools to effectively implement control measures for zoonoses. This is mainly due to dispersed and heterogeneous smallholder livestock systems, predominance of informal markets, poor infrastructure and lack of resources to deliver information, interventions, and regulations. In addition, developing countries lack an evidence base for planning and targeting control efforts. Zoonotic infections are receiving more and more international attention as diseases of neglected and impoverished communities, at the intersection between livestock production, human health, and poverty. Objective To review research innovations and trends that can help identify and test targeted control strategies for zoonoses tailored to poor communities, focusing particularly on Africa. Methods Review of recommendations of relevant working groups and scientific literature. Results New and innovative research approaches promise to better capture the impact of zoonoses from a societal perspective and the perspective of poor livestock owners through more comprehensive frameworks that consider benefits of the control of zoonoses to the public health, livestock, and private sectors. It is challenging to better assure food safety in informal markets. Risk-based approaches with participatory elements provide a framework in which stakeholders can decide an appropriate level of protection to balance the needs for safe food, cheap food, and pro-poor economic growth. Appropriate information for all stakeholders and capacity-building of national and regional authorities is an important element of this process. New diagnostic tools that are accurate and easily used in developing-country health centers and markets can assist in reporting of cases, detection of patients, and testing of control strategies. Conclusions A research agenda on zoonoses of the livestock sector should be interdisciplinary and participatory and include intersectoral collaborations, notably between the livestock and public health sectors.

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