COVID-19: A Risk Management Model
COVID-19: A Risk Management Model
2020 has always been portrayed as a 'futuristic state', globally connected with accelerated scientific development that opens up new opportunities such as space travel, medical ingenious, digital computing and advanced intelligence.
BUT in this state, we are not immune to natural disasters, warfare, political super-powers and biological risks. We are indeed vulnerable and need to respond appropriately to these globally interconnected events.
The COVID-19 virus, case in point, has been accredited with pandemic status by the World Health Organisation. Worldwide governments have responded in efforts to 'flatten the curve of infection' to give medical facilities the best chance to deal with sick people.
None of us are immune to this pandemic. The question on everybody's lips: 'How do we best determine and manage our risk?' not only to protect the health of our families, our loved ones and our wider communities, but also how to continue to minimise the effect of an economic downturn and associated results.
*nerdy explanation of method*
Informed by a scientific approach, Worklife.digital is using a labeled state transition diagram to explain the decision model. This makes it easy for participants to verify reachability of states based on a set of rules. We will at a later stage, also demonstrate non-cyclic properties. These claims all just make it easier to understand and believe the correctness of the model because you can verify yourself that the reachability of states is logically consistent, efficient and valid.
*end of nerdy explanation*
The COVID-19 Risk Model is based on scientifically informed recommendations from reputable sources such as:
Important to note that this model is adhering to Open Source principles. We therefore invite your input and contribution.
As information changes on a daily basis, the model will evolve to continue to assist us to make informed risk mitigating decisions with the latest global information updates.
Here is a link to the PDF model that is easier to view.
Here is a link to the actual journey (for review). Note that exit nodes do work, but you won't get any more feedback from our application at this point (so you can only verify the journey logic).
Please email us via our website if you have any feedback on this model.
*end of nerdy explanation*
The COVID-19 Risk Model is based on scientifically informed recommendations from reputable sources such as:
- John Hopkins Coronavirus Resource Centre: https://coronavirus.jhu.edu/map.html.
- Centres for Disease Control and Prevention: https://www.cdc.gov/coronavirus/2019-ncov/index.html
- National Institute for Health and Environment: https://www.rivm.nl/
- World Health Organisation: https://www.who.int/health-topics/coronavirus
- UK National Health Service: https://www.nhs.uk/conditions/coronavirus-covid-19/
- South African Government: https://www.gov.za/NovelCoronavirus
Important to note that this model is adhering to Open Source principles. We therefore invite your input and contribution.
As information changes on a daily basis, the model will evolve to continue to assist us to make informed risk mitigating decisions with the latest global information updates.
Here is a link to the PDF model that is easier to view.
Here is a link to the actual journey (for review). Note that exit nodes do work, but you won't get any more feedback from our application at this point (so you can only verify the journey logic).
Please email us via our website if you have any feedback on this model.

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