Public Health Models

These models and simulations have been tagged “Public Health”.

Related tagsCVDDisease Prevention

Collapse of the economy, not just recession, is now very likely. To give just one possible cause,
in the U.S. the fracking industry is in deep trouble. It is not only that most
fracking companies have never achieved a   free cash flow   (made a profit)
since the fracking boom started in 2008, but th
Collapse of the economy, not just recession, is now very likely. To give just one possible cause, in the U.S. the fracking industry is in deep trouble. It is not only that most fracking companies have never achieved a free cash flow (made a profit) since the fracking boom started in 2008, but that  an already very weak  and unprofitable oil industry cannot cope with extremely low oil prices. The result will be the imminent collapse of the industry. However, when the fracking industry collapses in the US, so will the American economy – and by extension, probably, the rest of the world economy. To grasp a second and far more serious threat it is vital to understand the phenomenon of ‘Global Dimming’. Industrial activity not only produces greenhouse gases, but emits also sulphur dioxide which converts to reflective sulphate aerosols in the atmosphere. Sulphate aerosols act like little mirrors that reflect sunlight back into space, cooling the atmosphere. But when economic activity stops, these aerosols (unlike carbon dioxide) drop out of the atmosphere, adding perhaps as much as 1° C to global average temperatures. This can happen in a very short period time, and when it does mankind will be bereft of any means to mitigate the furious onslaught of an out-of-control and merciless climate. The data and the unrelenting dynamic of the viral pandemic paint bleak picture.  As events unfold in the next few months,  we may discover that it is too late to act,  that our reign on this planet has, indeed,  come to an abrupt end?  
Adapted from ​Systems approaches to public health by Alan Shiell and Penny Hawe See also  Health System Efficiency IM  and specific health outcome logic diagram  example IM
Adapted from ​Systems approaches to public health by Alan Shiell and Penny Hawe See also Health System Efficiency IM and specific health outcome logic diagram example IM
This is a systems model that allows groups of professionals to discuss 'prevention at scale' opportunities and the implications of numbers 'needed to treat' in any local population. In terms of public health interventions this equates to reach, compliance and efficacy, which are usually lower than o
This is a systems model that allows groups of professionals to discuss 'prevention at scale' opportunities and the implications of numbers 'needed to treat' in any local population. In terms of public health interventions this equates to reach, compliance and efficacy, which are usually lower than one might suspect.
3 weeks ago
  Temperature Stress Mortality Simulator:  for the older (70+ years) population of Dorset, Bournemouth and Poole, UK, using the  UKCP09   SRES A1B Emission Scenario .
Temperature Stress Mortality Simulator: for the older (70+ years) population of Dorset, Bournemouth and Poole, UK, using the UKCP09 SRES A1B Emission Scenario.
This is a simple intervention project/programme planning tool aimed primarily at public health practitioners who want to understand potential impact.
This is a simple intervention project/programme planning tool aimed primarily at public health practitioners who want to understand potential impact.
20 10 months ago
This model estimates the number of low-risk C-sections that will be performed in NJ. These estimates are based on the best available evidence in the literature.   There are four interventions that can reduce the number of low-risk c-sections:  1) Allowing movement and positioning other than supine i
This model estimates the number of low-risk C-sections that will be performed in NJ. These estimates are based on the best available evidence in the literature.

There are four interventions that can reduce the number of low-risk c-sections:
1) Allowing movement and positioning other than supine in the first stage of labor ("Supine")
2) Encouraging the use of doulas and creating doula-friendly policies ("Doula")
3) Improving access to and promoting quality childbirth education ("Childbirth Education")
4) Tracking provider-level C-section rates and conducting case reviews ("Tracking and Case Review")

Instructions:
Experiment with the interventions by moving the sliders below.

Each slider indicates the number of NJ hospitals in which the intervention is implemented. Zero indicates that the intervention is not used. Fifty-three indicates full implementation.

You can simulate by pressing the "simulate" button at the top left. If you don't see the simulate button, click the downward facing arrow next to "Clone Insight". You may need to turn off your pop-up blocker.
WIP summary of Zimmerman2013  article  (paywalled) Habit, custom, and power: A multi-level theory of population health. Could be mapped to COM-B. See also  Dynamics in action IM ,  PCT Double Loop Learning IM  and  Structure Agency framework IM
WIP summary of Zimmerman2013 article (paywalled) Habit, custom, and power: A multi-level theory of population health. Could be mapped to COM-B. See also Dynamics in action IMPCT Double Loop Learning IM and Structure Agency framework IM
This is a population model designed for local health and care systems (United Kingdom). This model does not simulation male/female, but rather everyone in 5-year age groups.
This is a population model designed for local health and care systems (United Kingdom). This model does not simulation male/female, but rather everyone in 5-year age groups.
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts.    This is the fourth and final developmental component of Module 2. The population progression through health states is complete.
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts.

This is the fourth and final developmental component of Module 2. The population progression through health states is complete.
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This model was developed to support  Health Systems Thinking & Learning Events  using the systems dynamics modelling approach.
This model was developed to support Health Systems Thinking & Learning Events using the systems dynamics modelling approach.
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This model was developed as part of the curriculum development for a short introductory course on systems dynamics modelling for health system analysts
This is a simple intervention project/programme planning tool aimed primarily at public health practitioners who want to understand potential impact.
This is a simple intervention project/programme planning tool aimed primarily at public health practitioners who want to understand potential impact.
This is a simple intervention project/programme planning tool aimed primarily at public health practitioners who want to understand potential impact.
This is a simple intervention project/programme planning tool aimed primarily at public health practitioners who want to understand potential impact.
This model was developed to support  Health Systems Thinking & Learning Events  using the systems dynamics modelling approach.
This model was developed to support Health Systems Thinking & Learning Events using the systems dynamics modelling approach.
 Modelling prevalence of cardiovascular disease within a population using agent based modelling. The initial population is defined within Tools->Variables and macros.     This is a partial model that is not yet complete.
Modelling prevalence of cardiovascular disease within a population using agent based modelling. The initial population is defined within Tools->Variables and macros.

This is a partial model that is not yet complete.