The importance of scientific study has received more and more attentions from various levels of hospitals,while paper writing,topic declaring,and achievement and patent grasping have become the fundamental tasks for t...The importance of scientific study has received more and more attentions from various levels of hospitals,while paper writing,topic declaring,and achievement and patent grasping have become the fundamental tasks for the hospitals. As nurses in basic-level hospitals,howto find and implement excellent scientific research thoughts in busy work has become a challenge in front of them. Nursing of Integrated Traditional Chinese and Western M edicine attempts to establish a Special Fund for Nursing of Integrated Traditional Chinese and Western M edicine( "Special Fund"for short),aiming to support and assisting nurses in basic-level hospitals to conduct nursing-associated scientific research project approval,achievement declaration and publication,and to promote the co-improvement of scientific research level,academic level and quality of journals in domestic nursing field of integrated traditional Chinese and western medicine by assisting the nurses in basic-level hospitals to improve their declaring,executing and summarizing capacities on nursing research topics.展开更多
We have proposed a new mathematical method,the SEIHCRD model,which has an excellent potential to predict the incidence of COVID-19 diseases.Our proposed SEIHCRD model is an extension of the SEIR model.Three-compartmen...We have proposed a new mathematical method,the SEIHCRD model,which has an excellent potential to predict the incidence of COVID-19 diseases.Our proposed SEIHCRD model is an extension of the SEIR model.Three-compartments have added death,hospitalized,and critical,which improves the basic understanding of disease spread and results.We have studiedCOVID-19 cases of six countries,where the impact of this disease in the highest are Brazil,India,Italy,Spain,the United Kingdom,and the United States.After estimating model parameters based on available clinical data,the modelwill propagate and forecast dynamic evolution.Themodel calculates the Basic reproduction number over time using logistic regression and the Case fatality rate based on the selected countries’age-category scenario.Themodel calculates two types of Case fatality rate one is CFR daily,and the other is total CFR.The proposed model estimates the approximate time when the disease is at its peak and the approximate time when death cases rarely occur and calculate how much hospital beds and ICU beds will be needed in the peak days of infection.The SEIHCRD model outperforms the classic ARXmodel and the ARIMA model.RMSE,MAPE,andRsquaredmatrices are used to evaluate results and are graphically represented using Taylor and Target diagrams.The result shows RMSE has improved by 56%–74%,and MAPE has a 53%–89%improvement in prediction accuracy.展开更多
目的探讨宿迁地区基层胸痛中心发病至送达胸痛中心大门(symptom onset to door,StoD)时间的影响因素及对策。方法选择2022年1月—2023年6月宿迁市中西医结合医院胸痛中心收治的81例急性心肌梗死患者为研究对象。根据患者StoD时间分为≤...目的探讨宿迁地区基层胸痛中心发病至送达胸痛中心大门(symptom onset to door,StoD)时间的影响因素及对策。方法选择2022年1月—2023年6月宿迁市中西医结合医院胸痛中心收治的81例急性心肌梗死患者为研究对象。根据患者StoD时间分为≤6 h组50例与>6 h组31例。统计人口学资料以及相关影响因子,利用单因素分析与多因素logistic回归分析胸痛中心StoD时间的影响因素。结果2组疼痛程度评分、通过120入院还是自行来院、社区医生是否通过网络将心电图结果传输至胸痛中心、发病症状是否典型、家属态度是否积极、有无心血管疾病危险因素、是否夜间发病、发病地点与就诊医院的距离等指标比较,差异有统计学意义(P<0.05)。单因素分析及多因素logistic回归分析显示,自行来院、发病症状不典型、有心血管疾病危险因素、夜间发病、发病地点与就诊医院距离远均是胸痛中心StoD时间的危险因素,家属态度积极为保护因素(P<0.05)。结论基层胸痛中心StoD时间受患者来院途径、症状表现以及发病时间等影响,而家属积极态度有利于缩短StoD时间,需提高家属对疾病的认识,发挥区域诊疗中心协同救治的作用,缩短StoD时间及提高救治效率。展开更多
文摘The importance of scientific study has received more and more attentions from various levels of hospitals,while paper writing,topic declaring,and achievement and patent grasping have become the fundamental tasks for the hospitals. As nurses in basic-level hospitals,howto find and implement excellent scientific research thoughts in busy work has become a challenge in front of them. Nursing of Integrated Traditional Chinese and Western M edicine attempts to establish a Special Fund for Nursing of Integrated Traditional Chinese and Western M edicine( "Special Fund"for short),aiming to support and assisting nurses in basic-level hospitals to conduct nursing-associated scientific research project approval,achievement declaration and publication,and to promote the co-improvement of scientific research level,academic level and quality of journals in domestic nursing field of integrated traditional Chinese and western medicine by assisting the nurses in basic-level hospitals to improve their declaring,executing and summarizing capacities on nursing research topics.
基金The work has been supported by a grant received from the Ministry of Education,Government of India under the Scheme for the Promotion of Academic and Research Collaboration(SPARC)(ID:SPARC/2019/1396).
文摘We have proposed a new mathematical method,the SEIHCRD model,which has an excellent potential to predict the incidence of COVID-19 diseases.Our proposed SEIHCRD model is an extension of the SEIR model.Three-compartments have added death,hospitalized,and critical,which improves the basic understanding of disease spread and results.We have studiedCOVID-19 cases of six countries,where the impact of this disease in the highest are Brazil,India,Italy,Spain,the United Kingdom,and the United States.After estimating model parameters based on available clinical data,the modelwill propagate and forecast dynamic evolution.Themodel calculates the Basic reproduction number over time using logistic regression and the Case fatality rate based on the selected countries’age-category scenario.Themodel calculates two types of Case fatality rate one is CFR daily,and the other is total CFR.The proposed model estimates the approximate time when the disease is at its peak and the approximate time when death cases rarely occur and calculate how much hospital beds and ICU beds will be needed in the peak days of infection.The SEIHCRD model outperforms the classic ARXmodel and the ARIMA model.RMSE,MAPE,andRsquaredmatrices are used to evaluate results and are graphically represented using Taylor and Target diagrams.The result shows RMSE has improved by 56%–74%,and MAPE has a 53%–89%improvement in prediction accuracy.
