Objective: To analyze the impact of malignant neoplasms, cardiovascular diseases, respiratory diseases and diabetes (four major chronic diseases) on the increase of life expectancy of local population in Ji'nan during 2015-2020. Methods: Based on 2015-2020 cause-of-death surveillance information and population data of Ji'nan, we used abbreviated life expectancy table and Arriaga decomposition method to analyze the overall and disease specific contributions of four major chronic diseases to the increase of life expectancy, and the gender and age specific contributions of mortality rates of four major chronic diseases to the increase of life expectancy of local population from 2015 to 2020. Results: Life expectancy of the local population in Ji'nan increased by 1.59 years from 2015 to 2020. The decline in mortality rates of the four major chronic diseases contributed 1.25 years, with a contribution of 78.62%. The life expectancy in men increased by 1.66 years, with a contribution of 1.18 years from the decline in mortality rate of four major chronic diseases, and the life expectancy in women increased by 1.52 years, with a contribution of 1.35 years from the decline in mortality of four major chronic diseases. The declines in the mortality rates of malignant neoplasms, cardiovascular diseases, respiratory diseases and diabetes contributed 0.42, 0.62, 0.20, and 0.01 years to life expectancy, respectively. The decline mortality rate of gastric cancer contributed more to the increase of life expectancy compared with lung cancer. The increase in the mortality rate of hypertensive heart disease resulted in a negative contribution. Asthma and diabetes contributed very little to the increase of life expectancy. Conclusions: The increase in the life expectancy of local population in Ji'nan from 2015 to 2020 was mainly attributed to the decline in mortality of four major chronic diseases. It is necessary to pay close attention to the diseases which contributed very little or even had negative contribution to the increase of life expectancy, such as lung cancer, diabetes and hypertensive heart disease.
Male ; Female ; Humans ; Noncommunicable Diseases ; Cardiovascular Diseases ; Life Expectancy ; Hypertension ; Lung Neoplasms ; Heart Diseases

Sojae Semen Praeparatum (SSP) is commonly used as a type of dietetic Chinese herb. By collecting and analyzing ancient and recent literatures, a textual criticism was conducted on the historical evolution of the processing of SSP. Fermented soybean was recorded in Shijing, and relevant rational processing was described in Qimin Yaoshu. In the early time, fermented soybean included the type of "salty" and "light". After the Ming Dynasty, "light" fermented soybean or SSP was recognized as a better medicinal matter than salty fermented soybean, and the fermentation processing was recorded more clearly. In modern time, many characteristic methods for processing SSP have been developed. Today, the processing of SSP is mainly based on the Chinese Pharmacopoeia, which records soybean as a main ingredient and Artemisiae Annuae Herba, Mori Folium as excipients.

INTRODUCTIONBased on the estimate results of the capacity and preparedness of Beijing hospitals to respond to pandemic influenza, using flu surge model to evaluate its applicable hypothesis and to provide government with sentient strategy in planning pandemic influenza. Through collection of medical resources information, we calculated the possible impaction on hospitals by Flu Surge model and explored the applicable hypothesis in model operation through a questionnaire, direct observation and group discussion in 3 hospitals in Beijing. Based on flu surge model estimation during a 6-week epidemic from a pandemic virus with 35% attack rate, Beijing would have had an estimation of 5 383 000 influenza illnesses, 2 691 500 influenza outpatients, 76 450 influenza hospitalizations and 14 508 excess deaths. For a 6-week period with 35% attack rate, there would be a peak demand for 8% of beds, 210% of ICU beds, and 128% of ventilators estimated. Outpatients in different level hospital were quite disproportionated with 1742/ hospital/day, 650/hospital/day, and 139/hospital/day respectively. The sampled health workers had a mastery of 63.4% of the total knowledge and skills of diagnosing and treating of influenza, 73.5% of them washed their hands and 63.5% used PPE correctly. The total beds capacity, medical beds capacity and respiratory medical beds capacity would increase 8%, 35% and 128% respectively.

CONCLUSIONThe estimation results could be referenced when planning the pandemic strategy, but the results should be treated objectively when considering the hypothesis and practical situation in this model being used.

Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Disease Outbreaks ; statistics & numerical data ; Female ; Hospital Bed Capacity ; Hospital Planning ; Hospitalization ; statistics & numerical data ; Humans ; Infant ; Infant, Newborn ; Influenza, Human ; epidemiology ; Male ; Middle Aged ; Models, Statistical ; Surge Capacity ; Young Adult

Beijing has been one of the epicenters attacked most severely by the SARS-CoV (severe acute respiratory syndrome-associated coronavirus) since the first patient was diagnosed in one of the city's hospitals. We now report complete genome sequences of the BJ Group, including four isolates (Isolates BJ01, BJ02, BJ03, and BJ04) of the SARS-CoV. It is remarkable that all members of the BJ Group share a common haplotype, consisting of seven loci that differentiate the group from other isolates published to date. Among 42 substitutions uniquely identified from the BJ group, 32 are non-synonymous changes at the amino acid level. Rooted phylogenetic trees, proposed on the basis of haplotypes and other sequence variations of SARS-CoV isolates from Canada, USA, Singapore, and China, gave rise to different paradigms but positioned the BJ Group, together with the newly discovered GD01 (GD-Ins29) in the same clade, followed by the H-U Group (from Hong Kong to USA) and the H-T Group (from Hong Kong to Toronto), leaving the SP Group (Singapore) more distant. This result appears to suggest a possible transmission path from Guangdong to Beijing/Hong Kong, then to other countries and regions.
Genome, Viral ; Haplotypes ; Humans ; Mutation ; Open Reading Frames ; Phylogeny ; SARS Virus ; genetics