scholarly journals Big Data, Algorithmic Governmentality and the Regulation of Pandemic Risk

2019 ◽  
Vol 10 (1) ◽  
pp. 94-115
Author(s):  
Stephen L ROBERTS
Keyword(s):  
Infectious Disease ◽  
Big Data ◽  
Disease Surveillance ◽  
Disease Outbreaks ◽  
Surveillance Systems ◽  
Infectious Disease Surveillance ◽  
Novel Technologies ◽  
Infectious Disease Outbreaks ◽  
The Government ◽  
Processing Techniques

This article investigates the rise of algorithmic disease surveillance systems as novel technologies of risk analysis utilised to regulate pandemic outbreaks in an era of big data. Critically, the article demonstrates how intensified efforts towards harnessing big data and the application of algorithmic processing techniques to enhance the real-time surveillance and regulation infectious disease outbreaks significantly transform practices of global infectious disease surveillance; observed through the advent of novel risk rationalities which underpin the deployment of intensifying algorithmic practices to increasingly colonise and patrol emergent topographies of data in order to identify and govern the emergence of exceptional pathogenic risks. Conceptually, this article asserts further howthe rise of these novel risk regulating technologies within a context of big data transforms the government and forecasting of epidemics and pandemics: illustrated by the rise of emergent algorithmic governmentalties of risk within contemporary contexts of big data, disease surveillance and the regulation of pandemic.

scholarly journals Comparison of Statistical Algorithms for the Detection of Infectious Disease Outbreaks in Large Multiple Surveillance Systems

PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0160759 ◽  
Author(s):  
Doyo G. Enki ◽  
Paul H. Garthwaite ◽  
C. Paddy Farrington ◽  
Angela Noufaily ◽  
Nick J. Andrews ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Disease Outbreaks ◽  
Surveillance Systems ◽  
Infectious Disease Outbreaks ◽  
Statistical Algorithms

scholarly journals The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures

2020 ◽  
Vol 16 (12) ◽  
pp. e1008477
Author(s):  
Qu Cheng ◽  
Philip A. Collender ◽  
Alexandra K. Heaney ◽  
Xintong Li ◽  
Rohini Dasan ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Disease Surveillance ◽  
Formal Analysis ◽  
Design Parameters ◽  
Evidence Based ◽  
Surveillance Systems ◽  
Network Architectures ◽  
Surveillance Network ◽  
Infectious Disease Surveillance ◽  
The Many

Infectious disease surveillance systems provide vital data for guiding disease prevention and control policies, yet the formalization of methods to optimize surveillance networks has largely been overlooked. Decisions surrounding surveillance design parameters—such as the number and placement of surveillance sites, target populations, and case definitions—are often determined by expert opinion or deference to operational considerations, without formal analysis of the influence of design parameters on surveillance objectives. Here we propose a simulation framework to guide evidence-based surveillance network design to better achieve specific surveillance goals with limited resources. We define evidence-based surveillance design as an optimization problem, acknowledging the many operational constraints under which surveillance systems operate, the many dimensions of surveillance system design, the multiple and competing goals of surveillance, and the complex and dynamic nature of disease systems. We describe an analytical framework—the Disease Surveillance Informatics Optimization and Simulation (DIOS) framework—for the identification of optimal surveillance designs through mathematical representations of disease and surveillance processes, definition of objective functions, and numerical optimization. We then apply the framework to the problem of selecting candidate sites to expand an existing surveillance network under alternative objectives of: (1) improving spatial prediction of disease prevalence at unmonitored sites; or (2) estimating the observed effect of a risk factor on disease. Results of this demonstration illustrate how optimal designs are sensitive to both surveillance goals and the underlying spatial pattern of the target disease. The findings affirm the value of designing surveillance systems through quantitative and adaptive analysis of network characteristics and performance. The framework can be applied to the design of surveillance systems tailored to setting-specific disease transmission dynamics and surveillance needs, and can yield improved understanding of tradeoffs between network architectures.

scholarly journals International Rickettsia Disease Surveillance: An Example of Cooperative Research to Increase Laboratory Capability and Capacity for Risk Assessment of Rickettsial Outbreaks Worldwide

2021 ◽  
Vol 8 ◽  
Author(s):  
Ju Jiang ◽  
Christina M. Farris ◽  
Kenneth B. Yeh ◽  
Allen L. Richards
Keyword(s):  
Infectious Disease ◽  
Risk Assessment ◽  
Disease Surveillance ◽  
Disease Outbreaks ◽  
Diagnostic Tools ◽  
Cooperative Research ◽  
Infectious Disease Surveillance ◽  
Molecular Assays ◽  
Rickettsial Diseases ◽  
Research Studies

Cooperative research that addresses infectious disease surveillance and outbreak investigations relies heavily on availability and effective use of appropriate diagnostic tools, including serological and molecular assays, as exemplified by the current COVID-19 pandemic. In this paper, we stress the importance of using these assays to support collaborative epidemiological studies to assess risk of rickettsial disease outbreaks among international partner countries. Workforce development, mentorship, and training are important components in building laboratory capability and capacity to assess risk of and mitigate emerging disease outbreaks. International partnerships that fund cooperative research through mentoring and on-the-job training are successful examples for enhancing infectious disease surveillance. Cooperative research studies between the Naval Medical Research Center's Rickettsial Diseases Research Program (RDRP) and 17 institutes from nine countries among five continents were conducted to address the presence of and the risk for endemic rickettsial diseases. To establish serological and molecular assays in the collaborative institutes, initial training and continued material, and technical support were provided by RDRP. The laboratory methods used in the research studies to detect and identify the rickettsial infections included (1) group-specific IgM and IgG serological assays and (2) molecular assays. Twenty-six cooperative research projects performed between 2008 and 2020 enhanced the capability and capacity of 17 research institutes to estimate risk of rickettsial diseases. These international collaborative studies have led to the recognition and/or confirmation of rickettsial diseases within each of the partner countries. In addition, with the identification of specific pathogen and non-pathogen Rickettsia species, a more accurate risk assessment could be made in surveillance studies using environmental samples. The discoveries from these projects reinforced international cooperation benefiting not only the partner countries but also the scientific community at large through presentations (n = 40) at international scientific meetings and peer-reviewed publications (n = 18). The cooperative research studies conducted in multiple international institutes led to the incorporation of new SOPs and trainings for laboratory procedures; biosafety, biosurety, and biosecurity methods; performance of rickettsia-specific assays; and the identification of known and unknown rickettsial agents through the introduction of new serologic and molecular assays that complemented traditional microbiology methods.

scholarly journals Laboratory-Guided Detection of Disease Outbreaks: Three Generations of Surveillance Systems

2009 ◽  
Vol 133 (6) ◽  
pp. 916-925 ◽  
Author(s):  
Vitali Sintchenko ◽  
Blanca Gallego
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Decision Support ◽  
Disease Surveillance ◽  
Disease Outbreaks ◽  
Health Indicators ◽  
Surveillance Systems ◽  
Public Health Monitoring ◽  
Search Terms ◽  
Publication Language

Abstract Context.—Traditional biothreat surveillance systems are vulnerable to incomplete and delayed reporting of public health threats. Objective.—To review current and emerging approaches to detection and monitoring of biothreats enabled by laboratory methods of diagnosis and to identify trends in the biosurveillance research. Data Sources.—PubMed (1995 to December 2007) was searched with the combined search terms “surveillance” and “infectious diseases.” Additional articles were identified by hand searching the bibliographies of selected papers. Additional search terms were “public health,” “disease monitoring,” “cluster,” “outbreak,” “laboratory notification,” “molecular,” “detection,” “evaluation,” “genomics,” “communicable diseases,” “geographic information systems,” “bioterrorism,” “genotyping,” and “informatics.” Publication language was restricted to English. The bibliographies of key references were later hand searched to identify articles missing in the database search. Three approaches to infectious disease surveillance that involve clinical laboratories are contrasted: (1) laboratory-initiated infectious disease notifications, (2) syndromic surveillance based on health indicators, and (3) genotyping based surveillance of biothreats. Advances in molecular diagnostics enable rapid genotyping of biothreats and investigations of genes that were not previously identifiable by traditional methods. There is a need for coordination between syndromic and laboratory-based surveillance. Insufficient and delayed decision support and inadequate integration of surveillance signals into action plans remain the 2 main barriers to efficient public health monitoring and response. Decision support for public health users of biosurveillance alerts is often lacking. Conclusions.—The merger of the 3 scientific fields of surveillance, genomics, and informatics offers an opportunity for the development of effective and rapid biosurveillance methods and tools.

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.

Existential threats to the Summer Olympic and Paralympic Games? a review of emerging environmental health risks

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Annear ◽  
Tetsuhiro Kidokoro ◽  
Yasuo Shimizu
Keyword(s):  
Infectious Disease ◽  
Health Risks ◽  
Disease Surveillance ◽  
Disease Outbreaks ◽  
Systematic Change ◽  
Heat Injury ◽  
Vector Borne Diseases ◽  
Infectious Disease Outbreaks ◽  
Sports Events ◽  
Paralympic Games

Abstract This review highlights two intersecting environmental phenomena that have significantly impacted the Tokyo Summer Olympic and Paralympic Games: infectious disease outbreaks and anthropogenic climate change. Following systematic searches of five databases and the gray literature, 15 studies were identified that addressed infectious disease and climate-related health risks associated with the Summer Games and similar sports mega-events. Over two decades, infectious disease surveillance at the Summer Games has identified low-level threats from vaccine-preventable illnesses and respiratory conditions. However, the COVID-19 pandemic and expansion of vector-borne diseases represent emerging and existential challenges for cities that host mass gathering sports competitions due to the absence of effective vaccines. Ongoing threats from heat injury among athletes and spectators have also been identified at international sports events from Asia to North America due to a confluence of rising Summer temperatures, urban heat island effects and venue crowding. Projections for the Tokyo Games and beyond suggest that heat injury risks are reaching a dangerous tipping point, which will necessitate relocation or mitigation with long-format and endurance events. Without systematic change to its format or staging location, the Summer Games have the potential to drive deleterious health outcomes for athletes, spectators and host communities.

scholarly journals The Impact of and Government Planning and Responses to Pandemics for People with Disability: A Rapid Review

2021 ◽  
Vol 18 (12) ◽  
pp. 6505
Author(s):  
Adyya Gupta ◽  
Anne Kavanagh ◽  
George Disney
Keyword(s):  
Infectious Disease ◽  
General Population ◽  
Grey Literature ◽  
Disease Outbreaks ◽  
Rapid Review ◽  
Risk Of Infection ◽  
Infectious Disease Outbreaks ◽  
People With Disability ◽  
The Government ◽  
The Impact

Objective—To collate evidence on (1) the risk of infection for people with disability during infectious disease outbreaks and/or pandemics and (2) government responses and pandemic plans for people with disability. Methods—Through two rapid reviews, relevant peer-reviewed studies and grey literature published from 2002 onwards in the English language were identified. Data were synthesised narratively. Results—Aim 1: Of the 680 studies, two studies were included in the review. No grey literature was eligible for inclusion. The evidence regarding risk was inconclusive. Aim 2: Of the 50 studies, three peer-review studies, along with four government reports were included. The literature largely reported on measures being taken to maximise the prevention of transmission of COVID-19 for the general population, with only a few programs including people with disability. Conclusion—Overall, there is inconclusive evidence on the risk of infection for people with disability during infectious disease outbreaks and/or pandemics and the government preparedness and planning for disease outbreaks and/or pandemics largely exclude people with disability. From a population health perspective, during disease outbreaks and pandemics, including the COVID-19 pandemic, along with the general population, it is important for governments to include people with disability in their pandemic planning and response.

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