Sentence examples for mathematical modelling studies from inspiring English sources
Both empirical and mathematical modelling studies suggested that this concentration should be sufficient to induce coagulation [25].
Few mathematical modelling studies explicitly state assumptions about the timing of progression from chlamydia to PID, despite their importance in understanding chlamydia infection and disease [ 7].
This has also been corroborated by some recent mathematical modelling studies [ 10, 11] of pandemic influenza outbreaks: a key finding suggests that there would be a small window of opportunity for getting ahead of pandemic outbreak fronts and thus helping early pandemic mitigation efforts if it could be detected early on.
Mathematical modelling studies can be designed that investigate the impact of these contact profiles and the way they link age groups and contact locations on the spread and control of infectious diseases.
As the papers we reviewed are mathematical modelling studies, the reasons for disparate results must be found in study assumptions.
Mathematical modelling studies are a valuable tool for investigating hypothetical processes of chlamydia transmission and ascending infection.
A recent mathematical modelling study showed that the use of insecticide-treated school uniforms could reduce the incidence of dengue infection up to 55% among school children (8).
One recent mathematical modelling study estimated that CMR likely has greater cost-effectiveness/utility compared with SPECT despite greater base case cost of the former.
A mathematical modelling study based on data from the iPrEx trial showed that protection from HIV infection may be correlated with a specific number of PrEP doses per week, regardless of exact dosing intervals [ 24].
A recent mathematical modelling study estimated that globally there were 83 300 cardiovascular deaths associated with the first 12 months of H1N1pdm09 circulation in adults aged >17 years, 11 but the contribution of myocardial infarction deaths to this figure is unknown.
A mathematical modelling study using UK-based prevalent screen and incident cancer data has shown that the proportion of screen-detected cancers likely to be overdiagnosed varies inversely by polygenic risk (Pashayan et al, 2015).
