Medical intelligence, security and global health: the foundations of a new health agenda

Applying the Haddon Matrix to Frontline Care Preparedness and Response in Asymmetric Warfare

Introduction:

Asymmetric warfare and the reaction to its threats have implications in the way far-forward medical assistance is provided in such settings. Investments in far-forward emergency resuscitation and stabilization can contribute to saving lives and increase the resilience of health systems. Thus, it is proposed to extend the use of the Haddon Matrix to determine a set of strategies to better understand and prioritize activities to prepare for and set-up frontline care in the form of Trauma Stabilization Points (TSPs).

Methods:

An expert consensus methodology was used to achieve the research aim. A small subject matter experts’ group was convened to create and validate the content of the Haddon Matrix.

Results:

The result of the expert group consultations presented an overview of TSP Preparedness and Operational Readiness activities within a Haddon Matrix framework. Main strategies to be adopted within the cycle from pre- to post-event had been identified and presented considering the identified opportunities in the context of the possibility of implementation. Of particular importance was the revision of a curriculum that fits the civilian medical system and facilitates its adaptation to the context and available resources.

Conclusion:

The new framework to enhance frontline care preparedness and response using the Haddon Matrix facilitated the identification of a set of strategies to support frontline health care workers in a more efficient manner. Since the existing approach and tools are insufficient for modern warfare, additional research is needed.

Intelligence and global health: assessing the role of open source and social media intelligence analysis in infectious disease outbreaks

Purpose

Open Source Intelligence (OSINT) and Signals Intelligence (SIGINT) from the clandestine intelligence sector are being increasingly employed in infectious disease outbreaks. The purpose of this article is to explore how such tools might be employed in the detection, reporting, and control of outbreaks designated as a 'threat' by the global community. It is also intended to analyse previous use of such tools during the Ebola and SARS epidemics and to discuss key questions regarding the ethics and legality of initiatives that further blur the military and humanitarian spaces.

Methods

We undertake qualitative analysis of current discussions on OSINT and SIGINT and their intersection with global health. We also review current literature and describe the debates. We built on quantitative and qualitative research done into current health collection capabilities.

Results

This article presents an argument for the use of OSINT in the detection of infectious disease outbreaks and how this might occur.

Conclusion

We conclude that there is a place for OSINT and SIGINT in the detection and reporting of outbreaks. However, such tools are not sufficient on their own and must be corroborated for the intelligence to be relevant and actionable. Finally, we conclude that further discussion on key ethical issues needs to take place before such research can continue. In particular, this involves questions of jurisdiction, data ownership, and ethical considerations.

Utility and potential of rapid epidemic intelligence from internet-based sources

OBJECTIVES

Rapid epidemic detection is an important objective of surveillance to enable timely intervention, but traditional validated surveillance data may not be available in the required timeframe for acute epidemic control. Increasing volumes of data on the Internet have prompted interest in methods that could use unstructured sources to enhance traditional disease surveillance and gain rapid epidemic intelligence. We aimed to summarise Internet-based methods that use freely-accessible, unstructured data for epidemic surveillance and explore their timeliness and accuracy outcomes.

METHODS

Steps outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist were used to guide a systematic review of research related to the use of informal or unstructured data by Internet-based intelligence methods for surveillance.

RESULTS

We identified 84 articles published between 2006-2016 relating to Internet-based public health surveillance methods. Studies used search queries, social media posts and approaches derived from existing Internet-based systems for early epidemic alerts and real-time monitoring. Most studies noted improved timeliness compared to official reporting, such as in the 2014 Ebola epidemic where epidemic alerts were generated first from ProMED-mail. Internet-based methods showed variable correlation strength with official datasets, with some methods showing reasonable accuracy.

CONCLUSION

The proliferation of publicly available information on the Internet provided a new avenue for epidemic intelligence. Methodologies have been developed to collect Internet data and some systems are already used to enhance the timeliness of traditional surveillance systems. To improve the utility of Internet-based systems, the key attributes of timeliness and data accuracy should be included in future evaluations of surveillance systems.