A cost-benefit analysis of the influenza H1N1 vaccination in the primary and junior school in Shanghai / 中华预防医学杂志

<p><b>OBJECTIVE</b>To evaluate the cost-benefit for the Influenza Type A H1N1 Virus (Influenzae H1N1) vaccination in Shanghai primary and junior schools.</p><p><b>METHODS</b>A semi-experiment study was selected to evaluate the cost-benefit for Influenza H1N1 vaccination in primary and junior schools in 6 districts of Shanghai, including 414 636 students in total. According to the voluntary principle, the students were divided into the vaccinated group (233 445 students) and control group (181 191 students). The information of vaccine cost was collected from CDC in 19 districts in Shanghai by questionnaire; and the information of medical treatment cost was collected from questionnaire and abstracts of retrospective medical records, which included 31 mild cases and 15 severe cases. The cost-benefit analysis was conducted by health economic evaluation.</p><p><b>RESULTS</b>In total, there were 414 636 students enrolled in this study; while 233 445 (56.3%) students were in the vaccinated group and 181 191 in the control group. The attack rate in vaccinated group and control group was 0.61% (1433/233 445) and 1.76% (3166/181 191) respectively. The protection ratio was 65.34% ((1.76 - 0.61)/1.76) in the vaccinated group. The average cost of Influenza H1N1 was 36.81 yuan/person; and the average cost of medical treatment was (358.3 ± 243.6) yuan/mild case and (49 188.4 ± 99 917.3) yuan/severe case. The total benefit of vaccination in schools was 19 155 566.3 yuan, and the net benefit was 10 560 673.7 yuan. Therefore, the benefit-cost ratio was 2.24:1.</p><p><b>CONCLUSION</b>Influenza H1N1 vaccine could protect the students from Influenza H1N1 infection, and the cost-benefit analysis showed that the intervention strategy was worth trying.</p>

Establishing and applying of autoregressive integrated moving average model to predict the incidence rate of dysentery in Shanghai / 中华预防医学杂志

<p><b>OBJECTIVE</b>To explore the feasibility of establishing and applying of autoregressive integrated moving average (ARIMA) model to predict the incidence rate of dysentery in Shanghai, so as to provide the theoretical basis for prevention and control of dysentery.</p><p><b>METHODS</b>ARIMA model was established based on the monthly incidence rate of dysentery of Shanghai from 1990 to 2007. The parameters of model were estimated through unconditional least squares method, the structure was determined according to criteria of residual un-correlation and conclusion, and the model goodness-of-fit was determined through Akaike information criterion (AIC) and Schwarz Bayesian criterion (SBC). The constructed optimal model was applied to predict the incidence rate of dysentery of Shanghai in 2008 and evaluate the validity of model through comparing the difference of predicted incidence rate and actual one. The incidence rate of dysentery in 2010 was predicted by ARIMA model based on the incidence rate from January 1990 to June 2009.</p><p><b>RESULTS</b>The model ARIMA (1, 1, 1) (0, 1, 2)(12) had a good fitness to the incidence rate with both autoregressive coefficient (AR1 = 0.443) during the past time series, moving average coefficient (MA1 = 0.806) and seasonal moving average coefficient (SMA1 = 0.543, SMA2 = 0.321) being statistically significant (P < 0.01). AIC and SBC were 2.878 and 16.131 respectively and predicting error was white noise. The mathematic function was (1-0.443B) (1-B) (1-B(12))Z(t) = (1-0.806B) (1-0.543B(12)) (1-0.321B(2) x 12) micro(t). The predicted incidence rate in 2008 was consistent with the actual one, with the relative error of 6.78%. The predicted incidence rate of dysentery in 2010 based on the incidence rate from January 1990 to June 2009 would be 9.390 per 100 thousand.</p><p><b>CONCLUSION</b>ARIMA model can be used to fit the changes of incidence rate of dysentery and to forecast the future incidence rate in Shanghai. It is a predicted model of high precision for short-time forecast.</p>

Study on the epidemiological characteristics and molecular typing of Salmonella enterica subsp. enterica serovar Senftenberg in Shanghai / 中华流行病学杂志

ation were complicated, with the characteristics as the obvious decreasing number of patients, with no food-borne isolates in 2007.