ABSTRACT
Objective To analyze the characteristics of school public health emergencies in Zhejiang Province, and to provide current suggestions for prevention and control. Methods A descriptive epidemiological analysis was conducted for the public health emergencies occurred in schools from 2014 to 2016 in Zhejiang Province. The data was derived from Emergency Public Reporting System. Results A total of 100 public health emergencies occurred in schools and 3 784 cases were reported during 2014-2016 in Zhejiang Province, meanwhile no death occurred. There were two peak seasons every year for the emergency report. Forty percent of the emergencies were reported during November to January of the following year, and 31.00 % were during April to May. The emergencies occurred on all the municipal districts when Ningbo accounted for 50.00%. The schools and kindergartens in rural area, town and urban area reported 37, 28 and 35 emergencies respectively. The main etiology of emergencies included varicella(37.00%), hand-foot-mouth disease(29.00%), norovirus(22.00%). The median duration of varicella outbreaks was 31.67d, which was longer than others. The scale of influenza and norovirus outbreaks were larger, and the median cases were 76 and 49 respectively. The time of emergencies detecting was significantly different between different detecting patterns. Conclusion The prevention and control of school emergencies was still urgently. There were still some deficiencies in the identification and active reporting of the epidemic, which need to be solved, while taking advantage of the surveillance system for sick absence. The future strategies should focused on reinforcing immunization and improving health habits to promote school health.
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Objective To explore the correlations between the scarlet fever and meteorological factors in Zhejiang Province. Methods The data which was been analyzed including month case of scarlet fever and meteorological factors from JAN 2005 to DEC 201 4,were analyzed for the degree and characteristic of the correlations between the scarlet fever and meteorological factors with generalized additive model(GAM).Results There were negative correlation between scarlet fever and meteorological factors including water vapor pressure and hours of sunshine.There were complex nonlinear correlations between scarlet fever and meteorological factors including precipitation,average barometric pressure,average wind speed and average temperature .The relationship between scarlet fever and meteorological factors including average barometric pressure,average wind speed and average temperature showed approximate quadratic function.The precipitation above 3 500(0.1 mm),average barometric pressure above 1 0 200(0.1 hPa)and under 1 0 050(0.1 hPa),average wind speed between 1 8.7 -23.6 (0.1 m/s)and average temperature between 1 00 -250 (0.1 ℃) were the suitable meteorological condition for scarlet fever.Conclusion There were complex nonlinear correlations between the scarlet fever and meteorological factors.Precipitation,average barometric pressure,average wind speed and average temperature may be associated with the incidence of scarlet fever.
ABSTRACT
Objective To investigate the current status of sleep and its influencing factors among diabetic patients in communities. Methods Using the method of cluster sampling,a total of 449 diabetic patients were selected from 20 communities in Beilun District,Ningbo City. A well -structured questionnaire and physical examination were applied to obtain information,and pittsburgh Sleep Quality Index( pSQI)was also used to compare the sleeping quality of diabetic patients with norm population. Results Out of 449 patients,177(39. 42%)had poor sleeping quality. Compared with norm (3. 88 ± 2. 52),sleeping quality of diabetic patients(5. 50 ± 3. 82)was poorer(p<0. 01). Multivariable logistic regression showed that BMI,family income and cardiovascular diseases( CVD)were the influencing factors of sleeping quality,the value of OR and 95% confidence interval(95%CI)were 0. 93(0. 87-0. 99),0. 35(0. 15-0. 80)and 1. 58(1. 01-2. 47) respectively. Besides,multivariable linear regression showed that family income and retirement were associated with sleeping quality(p<0. 05). Conclusion Sleep disorder remains a common problem among diabetic patients Low BMI,low family income,non-retiree and CVD contribute to poor status of sleep.