Objective To understand the influence of meteorological factors on Oncomelania density in natural condition and provide scientific evidence for the control of the spread of schistosomiasis and Oncomelania.Methods Based on the Oncomelania survey data in spring and ground meteorological observation data of Qianjiang from 1990 to 2014, the first-order autoregressive analysis method was used for trend fitting and disassemble, and the correlation between the change rate of Oncomelania density and various meteorological factors in different periods were analyzed.Results The greatest influence of meteorological factors on Oncomelania density was temperature,followed by precipitation.The average minimum temperature in January and from December to February had predominant influence on Oncomelania density and frame occurrence rate of living Oncomelania (FORLO) respectively.The rise (fall) of average minimum temperature in January by 1 ℃ would lead to the increase (decrease) of Oncomelania density by 5.080％-6.710％;The rise (fall) of average minimum temperature from December to February by 1 ℃ would lead to the increase (decrease) of FORLO by 15.521％-15.928％.The period with the biggest influence of precipitation on Oncomelania density was from November to April, as the rainfall declined ＞20％, drought might occur, which would cause the reduction of Oncomelania density.Sunshine from September to November had some correlations with the change of Oncomelania density and FORLO.Statistical regression models for the change of Oncomelania density, FORLO and meteorological factors based on correlation analysis were established respectively.Conclusion Weed removal in Oncomelania areas before December is beneficial to reduce the surface temperature and soil moisture content, which would result in Oncomelania density reduction in some extent.It' s notable that the winter temperature is in rise in Hubei province along with global climate change, causing the Oncomelania density to increase, to which more attention should be paid.

Objective:To explore the effects of hospital-community-family continuous nursing mode in patients with chronic heart failure (CHF) .Methods:Totally 140 CHF patients admitted to Hefei First People's Hospital from November 2020 to October 2021 were selected by convenience sampling and divided into the control group and the observation group according to the random number table, with 70 cases in each group. Patients in the control group was given routine cardiovascular care, while patients in the observation group received hospital-community-family continuous care on this basis. The scores of Minnesota Living with Heart Failure Questionnaire (MLHFQ), Self-Care of Heart Failure Index (SCHFI) and Health Promoting Lifestyle Profile-Ⅱ (HPLP-Ⅱ) were compared between the two groups of patients at admission and 3 months after discharge.Result:At admission, there was no significant difference in the scores of MLHFQ, SCHFI and HPLP-Ⅱ between the two groups ( P>0.05) ; 3 months after discharge, the score of MLHFQ in the observation group was lower than that in the control group, and the scores of SCHFI and HPLP-Ⅱ were higher than those in the control group, with statistically significant differences ( P<0.01) . Conclusions:The hospital-community-family continuous nursing model can improve the self-care ability, health behavior and quality of life of CHF patients, which is worth promoting in clinical practice.

Objective To understand the impact of meteorological and environmental conditions on the spread of COVID-19, and to provide a scientific basis for prediction, prevention and control of COVID-19. Methods The number of confirmed cases, population density and meteorological data of all cities in Hubei Province during COVID-19 outbreak period were collected. The relationship between COVID-19 infection rate and climatic factors were analyzed using Excel and SPSS software. Results The infection rate of COVID-19 had the greatest correlation with population density. The infection rate of COVID-19 showed a very significant power-law relationship with the number of the hot days before COVID-19 outbreak, and it also had a good correlation with the high temperature accumulation, the rank of hot days and the drought intensity. Conclusion The adverse effect of high temperature and heat wave on the human body had an impact on the spread of COVID-19. The ability of people in different areas to resist high temperature was different because of different climates. Drought may affect the spread of COVID-19 by destroying the ecological environment.