Mathematical modelling
Web Resources for Mathematical modelling
ICD-10 search
Relevant Clinical Literature
Pubmed on Mathematical modelling
RCT with Mathematical modelling
Systematic reviews of Mathematical modelling
Mathematical modelling in N Eng J Med, Lancet, JAMA, BMJ
Mathematical modelling in Cochrane Collaboration
TRIP Database on Mathematical modelling
Google Scholar on Mathematical modelling
Bandolier on Mathematical modelling
UK Guidance
NHS Evidence on Mathematical modelling
Nice Guidance on Mathematical modelling
Centre for Reviews and Dissemination databases -DARE & NHS EED (evaluates reliability of research)
SNOMED search
NICE Clinical Knowledge Summaries on Mathematical modelling
Other Wikis
Wikipedia on Mathematical modelling (Less technical, ? quality control)
Mathematical modelling can be used to, for example:
- Estimate the impact of introducing a novel healthcare intervention, such as a treatment, or a form of disease prevention, such as a vaccination programme
- Estimate the level of service required to meet needs, either routinely, or in the event of an epidemic
- Predict the course of an epidemic
While such modelling can be informative for interventions over short time spans, the challenges over longer time spans with regard to population projections illustrate that prediction is far from an exact science.[1]
See also
References
- ↑ Appleby J. Population projections: why they are often wrong. BMJ (Clinical research ed.). 349:g5184.(Epub)