Model-based meta-analysis (MBMA) is a new type of quantitative analysis method, random effects in statistics will be found and put into the model as well as covariates. The final model has a strong predictive ability, can be conducted to make clinical decisions and evaluation. For its complexity, MBMA study is difficult to perform which restricted its application. By summarizing current published MBMA studies as well as the authors' experience, this article introduced the principle, method and status of MBMA.
The paper extended the previous model by adding the effect of the permanent resident on the migrants. The numerical simulation indicated that the basic reproductive numbers should be less than one in permanent residents and migrants in order to eliminate disease from the population. Evaluation on the TB-Screen Strategy of Canada showed that the epidemic of TB was sensitive to the TB control strategies.
Exercise intervention is an important non-pharmacological intervention for various diseases, and establishing precise exercise load assessment techniques can improve the quality of exercise intervention and the efficiency of disease prevention and control. Based on data collection from wearable devices, this study conducts nonlinear optimization and empirical verification of the original "Fitness-Fatigue Model". By constructing a time-varying attenuation function and specific coefficients, this study develops an optimized mathematical model that reflects the nonlinear characteristics of training responses. Thirteen participants underwent 12 weeks of moderate-intensity continuous cycling, three times per week. For each training session, external load (actual work done) and internal load (heart rate variability index) data were collected for each individual to conduct a performance comparison between the optimized model and the original model. The results show that the optimized model demonstrates a significantly improved overall goodness of fit and superior predictive ability. In summary, the findings of this study can support dynamic adjustments to participants' training programs and aid in the prevention and control of chronic diseases.