The impact of decision-making has scarcely been in sharper focus than while governments and public health bodies sought ways to manage the Covid-19 pandemic. The timing of decisions to contain the spread of virus through closing borders, imposing lockdowns or localised restrictions has been all-important. In many countries, delays in introducing such measures have had a big effect on infection rates and, sadly, mortalities while countries who acted fast have arguably produced measurably better outcomes.

EMDYN believes the key to planning for and responding to future pandemics is to achieve a much faster and more efficient handle on data on human mobility, itself central to modelling the spread of a virus. A new paper published by EMDYN examines the information gap which undoubtedly constrained the global response to the Covid-19 pandemic, from the basic virology, the uncertainty as to how fast the virus spreads or how it affects those infected, to how human mobility cultivates it. Together with physical measures such as development and delivery of vaccines or stockpiling medical and protective equipment, it is clear that faster access to key data insights at the earliest stages of a potential pandemic is necessary.

Unlocking an intelligence-led information framework to help guide preventative measures in the future will be vital. EMDYN has been rapidly creating a capability that can support such responses throughout the various phases of pandemics. Through access to a global dataset of geolocated device data, EMDYN can provide accurate insights into human mobility across the world, from a tactical inner-city scale to strategic global connectedness modelling.  Using this data, and the analysis derived from it, governments and responders can efficiently allocate resources, establish monitoring procedures, and even assess the effectiveness of containment efforts. The EMDYN study goes on to look at how location intelligence might have informed decision making going back to December 2019. It covers issues including:

  • Human mobility patterns and their role in transmission.
  • Benefits of rapid insights to guide initial risk assessments.
  • Location mapping to show impact of international travel on transmission.
  • Use of location data to assist containment and contact tracing measures.
  • Real time examples of the strong correlation between mobility patterns and the intensity of outbreaks.
  • Pinpointing specific events or encounters to allow proactive screening for infections.

The study introduces EMDYN Platform - a high performance, flexible technological analytical and investigative framework, facilitating high grade processing on extremely large data sets. It delivers a set of capabilities to help you make better informed decisions using fresh, accurate geo location data. EMDYN Platform offers unprecedented data visualisation and data interaction capabilities, delivering situational awareness, triage and deep analysis competences.

We illustrate how it can perform in a pandemic context. Beyond that, it has a host of applications across security and intelligence situations and is a genuinely flexible software solution, as it can be securely hosted externally or in-house to the user’s preference.

To find out more, please download the full copy of this case study HERE