ABSTRACT
Objective @#To investigate the trends in incidence of malignant tumors in Yongkang City, Zhejiang Province from 2013 to 2019, so as to provide insights into formulation of the malignant tumor control strategy.@*Methods@#Data pertaining to the incidence of malignant tumors from 2013 to 2019 were captured from the Zhejiang Chronic Disease Monitoring Information System. Based on the International Classification of Diseases 10th Revision (ICD-10) and data from the national population census, the constituent ratio, crude incidence and Chinese population-standardized incidence of malignant tumors were estimated, and the trends in incidence of malignant tumors were investigated using annual percent change (APC).@*Results@#The annual mean crude incidence and Chinese population-standardized incidence of malignant tumors were 356.75/105 and 226.97/105, which both appeared an overall tendency towards a rise (APC=5.887% and 4.815%, both P<0.05). The crude incidence of malignant tumors appeared a tendency towards a rise among both men (APC=3.860%, P<0.05) and women (APC=8.534%, P<0.05) from 2013 to 2019, and the Chinese population-standardized incidence of malignant tumors appeared a tendency towards a rise among women (APC=8.392%, P<0.05). The largest increase in the crude incidence of malignant tumors was seen among women at ages of 15 to 44 years (APC=11.599%, P<0.05). In addition, the Chinese population-standardized incidence of lung cancer, colorectal cancer and thyroid cancer all showed a tendency towards a rise among men (all P<0.05), and the Chinese population-standardized incidence of lung cancer and thyroid cancer both appeared a tendency towards a rise among women (both P<0.05). @*Conclusions@#The incidence of malignant tumors showed a tendency towards a rise in Yongkang City from 2013 to 2019, and the elderly and young females are high-risk populations for malignant tumors. Lung cancer, thyroid cancer and colorectal cancer are cancers that should be given a high priority.
ABSTRACT
Evolutionary events of transmission and reassortment for influenza A viruses were traditionally detected by phylogenetic analysis for influenza viruses' eight gene segments. Because the phylogenetic analysis can be complex, we developed genotype profile method which packaged the phylogenetic algorithms to analyze combination patterns of gene segments and integrated epidemiology knowledge. With the method, the analysis of reassortment and transmission becomes a simple and reliable process that combines genotypes, which is identical for the biological process of the virus. An application called IVEE that implements the method is available for all academic users to apply the method http://snptransformer.sourceforge.net. Furthermore, we found that a previous summary of the reassortment events in swine influenza A viruses may be inaccurate.
