[Syndrome differentiation and treatment of coronary heart disease combined with anxiety and depression from stages of phlegm, blood stasis, and toxic pathogen based on theory of "coexistence of diseases and depression syndromes"].

Depression syndromes(anxiety and depression), as typical psychological disorders, often coexist with and mutually influence coronary heart disease(CHD). They constitute a psycho-cardiology disease involving both the blood vessels of the heart and the spirit of the heart. Based on the theory of "coexistence of diseases and depression syndromes", it was proposed that CHD and depression syndromes coexisted independently and were causally related. The factors of depression syndromes go through the entire course of CHD and have different causal relationships at different stages, leading to a pathogenic process of "depression causing disease" or "disease causing depression". In the chronic latent period, phlegm predominates, with depression leading to the production of phlegm. Phlegm accumulation and Qi stagnation initiate a mutual damage process of psycho-cardiology, marking the onset of the disease. In the pathological development period, blood stasis becomes predominant. Depression leads to blood stasis, which further obstructs Qi circulation, accelerating disease progression. In the acute attack period, toxicity becomes crucial. Depression transforms into toxicity, damaging Qi and blood, disturbing the balance of the mind, and inducing a sudden and severe exacerbation of the disease. Based on this, the approach of treating phlegm and depression together, treating blood stasis and depression together, and treating toxicity and depression together by stages was established. Research has found that this approach can simultaneously improve organic damage and emotional disorders, and also has a regulating effect on micro-level syndrome indicators, achieving harmonization of psycho-cardiology in the treatment.

[Design and implementation of Geographical Information System on prevention and control of cholera].

To build the Geographical Information System (GIS) database for prevention and control of cholera programs as well as using management analysis and function demonstration to show the spatial attribute of cholera. Data from case reporting system regarding diarrhoea, vibrio cholerae, serotypes of vibrio cholerae at the surveillance spots and seafoods, as well as surveillance data on ambient environment and climate were collected. All the data were imported to system database to show the incidence of vibrio cholerae in different provinces, regions and counties to support the spatial analysis through the spatial analysis of GIS. The epidemic trends of cholera, seasonal characteristics of the cholera and the variation of the vibrio cholerae with times were better understood. Information on hotspots, regions and time of epidemics was collected, and helpful in providing risk prediction on the incidence of vibrio cholerae. The exploitation of the software can predict and simulate the spatio-temporal risks, so as to provide guidance for the prevention and control of the disease.

Association between the incidence of typhoid and paratyphoid fever and meteorological variables in Guizhou, China.

BACKGROUND: Typhoid/paratyphoid fever (TPF) is endemic in Guizhou. We conducted wavelet analysis and Spearman's rank correlation analysis to explore the impact of meteorological variations on TPF infection in Guizhou, in an attempt to assess the risk factors associated with TPF epidemics. METHODS: We examined the association between TPF incidence in Guizhou and temperature, precipitation and relative humidity using 24 years of data from 1984 to 2007. Periodicities of TPF incidence and the impact of climate factors on the TPF were detected by Spearman's rank correlation and wavelet analysis, RESULTS: Temperature and precipitation with a 1-month lag were positively correlated with the monthly incidence of TPF. The multiyear incidence pattern of TPF in Guizhou was explicitly periodic. Moreover, the association and driving effect of precipitation on TPF were observed, and the results showed that the incidence of TPF in Guizhou had a closer correlation with precipitation than with temperature. CONCLUSIONS: Safe water supply is the key issue for TPF control in Guizhou. Moreover, climate variation might impact the enteric infections, which may inform policy assessment for TPF control in Guizhou.

[Typhoid and paratyphoid fever in Yunnan province: distributional patterns and the related meteorological factors].

OBJECTIVE: To characterize the spatial distribution of typhoid and paratyphoid fever (TPF) in Yunnan province, China and to determine the effectiveness of meteorological factors on the epidemics of TPF. METHODS: Data of reported TPF cases in Yunnan province (2001 - 2007) from the China Information System for Diseases Control and Prevention was applied to GIS-based spatial analyses to detect their spatial distribution and clustering of TPF incidence at the county level. Panel data analysis was used to identify the relationships between the TPF incidence and meteorological factors including monthly average temperature, monthly cumulative precipitation and monthly average relative humidity. RESULTS: During the study period, the average incidence of TPF in Yunnan province was 23.11/100 000, with majority of the TPF cases emerged in summer and autumn. Although widely distributed, two TPF clusters were detected in Yunnan province based on the spatial analysis: one area around Yuxi city with the average annual incidence as 207.45/100 000 and another at the junctions of Yunnan province with Burma and Laos. Based on results from panel data analysis, the incidence of TFP was shown to be associated with meteorological factors such as temperature, precipitation, relative humidity and one month lag of temperature increase [10°C increase in the monthly average temperature: IRR = 1.30 (95%CI: 1.24 - 1.36); 10% increase in monthly average relative humidity: IRR = 1.07 (95%CI: 1.05 - 1.09); 100 mm rise in monthly cumulative precipitation: IRR = 1.02 (95%CI: 1.00 - 1.03); and 10°C average temperature increase, the last month: IRR = 1.73 (95%CI: 1.64 - 1.82)]. CONCLUSION: Areas with high TPF incidence were detected in this study, which indicated the key areas for TPF control in Yunnan province. Meteorological factors such as temperature, precipitation and humidity played a role in the incidence of TPF.