本文選題：傳染病 + 邊境地區(qū)�。� 參考：《昆明理工大學(xué)》2017年碩士論文

【摘要】：近年來,由于全球傳染病人數(shù)的不斷攀增,僅僅依賴發(fā)病率進(jìn)行疾病監(jiān)測的常規(guī)監(jiān)測方式逐漸的出現(xiàn)較多弊端,無法滿足人們對公共衛(wèi)生預(yù)警的需求,因此將疾病監(jiān)測轉(zhuǎn)變?yōu)榘Y狀監(jiān)測的全新方式體現(xiàn)了更多的預(yù)防優(yōu)勢,得到了更多業(yè)內(nèi)人士的關(guān)注。我國某(由于本文所展現(xiàn)的數(shù)據(jù)涉及到個(gè)人隱私,所以把本文中所有涉及到個(gè)人以及地域的信息全部采用"××"或"某某"表示。)省邊境地區(qū)氣候炎熱潮濕,適合多種病菌滋生,山高林密無天然和人工屏障。特殊的自然環(huán)境和社會環(huán)境,造成邊境地區(qū)傳染病頻發(fā)。如何在疾控中心隨時(shí)查詢該地區(qū)每天、每月發(fā)病人數(shù)以及發(fā)病癥狀,如何將最新的疫情信息及時(shí)上報(bào)、在遇到突發(fā)問題時(shí)如何迅速的解決,這都成了疾控中心人員所面臨的難題。綜上所述,本文的研究課題——邊境地區(qū)癥狀監(jiān)測預(yù)警系統(tǒng)研究與實(shí)現(xiàn)具有較強(qiáng)的應(yīng)用價(jià)值和理論價(jià)值。該項(xiàng)目是為我國某省邊境地區(qū)開發(fā)一套《邊境地區(qū)癥狀監(jiān)測預(yù)警系統(tǒng)》,以代替目前我國某省邊境地區(qū)疾病上報(bào)中所涉及到的業(yè)務(wù)流程。邊境地區(qū)癥狀監(jiān)測預(yù)警系統(tǒng)的應(yīng)用,將會在一定程度上提高應(yīng)對突發(fā)公共衛(wèi)生時(shí)間的質(zhì)量和效率、改進(jìn)醫(yī)療機(jī)構(gòu)上報(bào)疾病癥狀的方式,解決紙質(zhì)記錄癥狀信息、傳染病爆發(fā)響應(yīng)不及時(shí)等矛盾,以及提高預(yù)測傳染病爆發(fā)的效率,實(shí)現(xiàn)癥狀監(jiān)測工作現(xiàn)代化。本文主要完成的工作如下:1.系統(tǒng)的需求分析與總體設(shè)計(jì)。本文通過對目前我國某省邊境地區(qū)疾病癥狀上報(bào)工作中存在的問題出發(fā),分析原有疾病癥狀上報(bào)的業(yè)務(wù)流程,對該省邊境地區(qū)癥狀監(jiān)測預(yù)警系統(tǒng)的需求進(jìn)行了詳細(xì)的分析。在需求分析的基礎(chǔ)上,又對系統(tǒng)的總體架構(gòu)進(jìn)行了設(shè)計(jì),并進(jìn)一步分析了邊境地區(qū)癥狀監(jiān)測預(yù)警系統(tǒng)各功能模塊的詳細(xì)設(shè)計(jì)。2.系統(tǒng)的實(shí)現(xiàn)與測試。在系統(tǒng)總體設(shè)計(jì)的基礎(chǔ)上,對系統(tǒng)進(jìn)行了實(shí)現(xiàn)工作,包括android終端癥狀上報(bào)軟件、PC終端后臺管理系統(tǒng)的實(shí)現(xiàn),同時(shí)在文中展示了系統(tǒng)的部分界面,并給出了系統(tǒng)的測試推廣。通過系統(tǒng)的測試以及推廣使用證明,我們實(shí)現(xiàn)的系統(tǒng)滿足系統(tǒng)需求。3.預(yù)警模型設(shè)計(jì)。在系統(tǒng)推廣使用的基礎(chǔ)上,根據(jù)收集到的數(shù)據(jù),利用BP神經(jīng)網(wǎng)絡(luò)算法設(shè)計(jì)出根據(jù)各癥狀月上報(bào)總數(shù)預(yù)測當(dāng)月所有癥狀上報(bào)總數(shù)的預(yù)警模型。并通過與實(shí)際上報(bào)癥狀數(shù)進(jìn)行比較證明,BP神經(jīng)網(wǎng)絡(luò)預(yù)警模型確實(shí)可行。
[Abstract]:In recent years, due to the increase of the number of infectious diseases in the world, the routine surveillance method which only depends on the incidence of disease surveillance has gradually appeared more malpractices, which can not meet the need of public health early warning. Therefore, the transformation of disease surveillance to symptom monitoring reflects more advantages of prevention and gets more attention from the industry. Since the data presented in this paper relate to personal privacy, all information about individuals and regions in this paper is expressed as "脳 脳" or "such and so". Provincial border areas hot and humid climate, suitable for a variety of bacteria breeding, mountain forest dense without natural and artificial barriers. Special natural environment and social environment, resulting in frequent incidence of infectious diseases in border areas. How to inquire at the CDC about the number of cases and symptoms in the area every day and every month, how to report the latest epidemic information in time, and how to solve the sudden problems quickly. All this has become a difficult problem for CDC personnel. To sum up, the research and realization of the symptom monitoring and early warning system in the border area has strong application value and theoretical value. The project is to develop a set of "Border area symptom Monitoring and early warning system" for a border area of our country, to replace the business process involved in disease reporting in a border area of our country at present. The application of the symptom monitoring and early warning system in border areas will, to a certain extent, improve the quality and efficiency of responding to public health emergencies, improve the way medical institutions report disease symptoms, and solve the problem of documenting symptom information on paper. It is necessary to improve the efficiency of predicting the outbreak of infectious diseases and to realize the modernization of symptom monitoring. The main work of this paper is as follows: 1. System requirement analysis and overall design. Based on the analysis of the existing problems in the reporting of disease symptoms in a border area of China, this paper analyzes the business process of reporting the disease symptoms, and makes a detailed analysis of the needs of the symptom monitoring and early warning system in the border area of this province. On the basis of requirement analysis, the overall architecture of the system is designed, and the detailed design of each function module of the symptom monitoring and warning system in border area is analyzed. System implementation and testing. On the basis of the overall design of the system, the implementation of the system is carried out, including the implementation of the android terminal symptom reporting software and the PC terminal background management system. At the same time, some interfaces of the system are shown, and the test and popularization of the system are given. Through the test of the system and the popularization and use of the system, we realized the system to meet the system requirements. 3. 3. Early warning model design. Based on the data collected and the BP neural network algorithm, an early warning model is designed to predict the total number of symptoms reported in the month. It is proved that the BP neural network early warning model is feasible by comparing with the actual reported symptoms.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP311.52;TP277

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