Control Of Epidemic Situation Research Articles

Role of general Practitioners Novel Coronavirus Pneumonia in prevention and control of Epidemic Situation

Role of general Practitioners Novel Coronavirus Pneumonia in prevention and control of Epidemic Situation

Temporal and Spatial Cluster Analysis of 2019 Novel Coronavirus Pneumonia in Chongqing, 2020.1∼2020.2.

In order to explore the spatial and temporal distribution characteristics of COVID-19 in Chongqing from January 22 to February 25, 2010, and provide a series of suggestions for scientific prevention and control of epidemic situation, we will mainly analyze the epidemic situation data of Chongqing Municipal Health Committee members and improve the descriptive analysis. Regional distribution and spatiotemporal scans were analyzed for COVID-19 outbreaks using ArcGIS10.2 and SaTScan9. 5 software. After the analysis, a total of 576 novel coronavirus pneumonia patients were confirmed in Chongqing. The incidence trend increased rapidly from January 22 to January 31, then decreased gradually, and there were no new cases until February 25. The purely spatial scanning results were consistent with spatiotemporal scanning, and a first-level accumulation area was detected by spatiotemporal scanning in the east and northeast of Chongqing from January 22 to February 10. From January 22 to February 25, 2020,COVID-19 occurred in the eastern and northeast regions of Chongqing. It is recommended to strengthen the detection of cluster areas to prevent another outbreak of COVID-19 risk.

Research on Digital Transformation of Financial Industry under the Influence of COVID-19 Epidemic

In the prevention and control of epidemic situation in COVID-19, a large number of Internet companies actively use big data to analyze and display epidemic situation, providing important support for orderly resumption of work and production while preventing and controlling epidemic situation. The epidemic situation has promoted the continuous emergence of various online services, ensured the basic needs of people’s life and study, brought vitality to the real economy, and at the same time gave birth to a number of new formats and models of digital economy. The growth of the digital economy itself is also greatly affected by the epidemic, and different formats are affected to varying degrees. During the epidemic, banking institutions made full use of the digital transformation achievements in recent years, innovated financial service methods through various online financial service platforms, and enriched online and offline collaborative products and service systems. This paper mainly discusses the problems and development strategies of digital transformation of financial industry under the influence of COVID-19 epidemic.

Prediction of the COVID-19 Spread in China Based on Long Short-Term Memory Network

The sudden outbreak of COVID-19 has caused great losses to the economy and the life of the masses. Long short-term memory (LSTM) network is a time recursive neural network, which is suitable for processing and predicting important events with relatively long interval and delay in time series. Using LSTM network to predict and analyze the development trend of epidemic situation, it is imperative to prevent epidemic situation from causing secondary harm to China’s development. In this paper, we first obtained the COVID-19 data published by China Health Net using crawler technology, which is the accurate value of infection trend after the outbreak of COVID-19 in China. Then, based on these data, the LSTM model is used to predict the development trend of the epidemic in one year, and the mean square error is used to calculate the error between the prediction and the real data. The experimental model is used to predict and analyze the development trend of COVID-19. The results show that the error between predicted data and real data is small and the effect is very good, which provides a reasonable basis and forecast for scientific prevention and control of epidemic situation.

Key Points for Quality Control of 2019 Novel Coronavirus Testing Kits

Since the outbreak of COVID-19, the accurate and rapid clinical diagnosis technology of SARS-CoV-2 has played a crucial role in the prevention and control of epidemic situation. This study aims to analyze and discuss the key points for quality control of 2019 novel coronavirus testing kits, while incorporating the actual testing process, the distribution of testing kits and interpretation of relevant policies and regulations.

The Difficulties, Opportunities and Challenges of Covid-19 by Chinese Medicine on China

Recently, Coronavirus disease 2019 is the most frequent public health event in human history, spreads fastest, has the most extensive infection and the most difficult prevention and control, which has been abstracting the most impressive attention of the whole world. China, as the first outbreak place, has suffered seriously from the outbreak of Covid-19. The impact on domestic economy is profound and complex. How to effectively deal with once in a century global pandemic is still a world problem to be solved by the international community. Proceeding from the reality of China’s national conditions, following the objective law of prevention and control of infectious diseases, China has made great efforts to explore a set of effective “Chinese methods” in the control of epidemic situation and treatment of patients. Investigation, detection and monitoring with epidemiological investigation as the core has become the key link to cut off the chain of virus transmission and implement timely treatment for patients. To set up hospitals at different levels and to treat patients with mild, moderate and severe diseases according to their conditions, the combination of traditional Chinese and Western medicine has greatly reduced the infection rate and death rate, and improved the cure rate. From the whole industrial chain, the primary industry, the secondary industry, and the tertiary industry are all almost affected. However, some difficulties, opportunities and challenges of Covid-19 should be paid attention to and grasped.

Epidemiological and clinical characteristics of 55 patients with COVID-19

Objective To explore the clinical and epidemiological characteristics of patients with coronavirus disease 2019, and we provide reference for the prevention and control of epidemic situation. Methods Fifty-five patients with COVID-19 diagnosed and admitted to the hospital were studied as the research object from January 23 to February 16, 2020, we collected epidemiological data, such as whether patients had been a recent travel to Hubei, ever come into contact with people from Hubei, whether recent contact with patients with respiratory diseases; and clinical features include fever, fatigue, dry cough, muscle pain, cough, sputum, etc, collected related laboratory tests and imaging examination index, analyzed clinical and epidemiology features of COVID-19 patients. Results Among the 55 cases, 27 were males and 28 were females, with an average age of (43.11 ± 17.91) years. Among them, there were 3 cases of mild type, 48 cases of normal type, 3 cases of severe type and 1 case of critical type. The common type was dominant, accounting for 87.27% of the total cases. There were 29 cases of family cluster (52.73%). There were 19 imported cases (34.55%), and 27 recent contacts with persons from Hubei (49.09%). The clinical symptoms were dry cough in 34 cases (61.82%), fever in 30 cases (54.55%), sputum in 19 cases (34.55%), and fatigue in 18 cases (32.73%), and asymptomatic in 6 cases (10.91%). The total number of white blood cells was normal or decreased in 52 cases (94.55%), and the lymphocyte count was decreased in 12 cases (21.82%).There were 46 cases (83.64%) with ground-glass changes in both lungs on CT 5 days after the onset of symptoms. Conclusion COVID-19 patients were mainly normal type, mainly imported and family cluster cases, but there were also asymptomatic patients. The prevention and control of COVID-19 should strictly prevent imported cases and personnel gathering, and strengthen the monitoring of body temperature.Strengthen COVID-19 nucleic acid testing of confirmed close contacts, we couldtimely detect asymptomatic cases and conduct isolation and treatment. 摘要： 目的 探讨新型冠状病毒肺炎(COVID-19)患者的临床和流行病学特征，为疫情的防控提供参考。 方法 以 2020 年 1 月 23 日—2 月 16 日在某院确诊并收治的 COVID-19 患者 55 例为研究对象，收集患者近期是否到湖 北出行，是否接触过来自湖北的人员，近期是否接触呼吸道疾病患者等流行病学资料，临床症状资料包括发热、乏力、 干咳、肌肉疼痛、咳痰等，收集相关的实验室检测和影像学检查指标，分析 COVID-19 患者临床和流行病学特征。 结果 55 例患者中男性 27 例，女性 28 例，平均年龄(43.11±17.91)岁。临床分型：轻型 3 例，普通型 48 例，重型 3 例，危重 型 1 例，以普通型为主(87.27%)。家庭聚集性病例 29 例(52.73%)，输入性病例 19 例(34.55%)，近期接触到过湖北的人 员 27 例(49.09%)。临床症状为干咳 34 例(61.82%)，发热 30 例(54.55%)，咳痰 19 例(34.55%)，乏力 18 例(32.73%)，无 症状者 6 例(10.91%)。首次住院检测白细胞总数正常或降低者 52 例(94.55%)，淋巴细胞计数减少 12 例(21.82%)。出 现症状后 5 d CT 双肺毛玻璃样变 46 例(83.64%)。 结论 COVID-19 患者以普通型为主，主要为输入性和家庭聚集性病 例，同时也存在着无症状感染者。对 COVID-19 防控要严防输入性病例和人员的聚集，加强体温的监测。加强对确诊 患者密切接触者的 COVID-19 核酸检测，及时发现无症状病例并进行隔离和治疗。

Exploration of nursing human resource rapid allocation mechanism in non-COVID-19 designated hospitals

Objective To explore how to rapidly allocate human resource in non-designated hospital under the situation of COVID-19 so as to satisfy the demand of epidemic situation control in-and-out hospital for nursing human resource. Methods According to the need assessments of normal workload, expected workload in epidemic situation control in hospital and workload for building the rescue team, the epidemic situation control human resource reserve was rapidly formed based on the research of original disaster nursing reserve force by three ways, allocating the disaster rescue motorized nurse reserve force, orienting allocation by Nursing Department, volunteering. The layered and progressive human resource was allocated to meet the demand of COVID-19 control for human resource at different stages. Results The reserve made up of 271 motorized nurses was built by Nursing Department within 24 hours; 71 nurses were urgently allocated to the Outpatient and Emergency Department, Fever Outpatient, Department of Infectious Disease, medical team supporting Wuhan, Intensive Care Unit by 5 batches which satisfied the demand of epidemic situation control in non-COVID-19 designated hospital and building medical staff supporting Wuhan for nursing human resource. Conclusions Layered and progressive human resource emergency allocation can effectively shorten the time of human resource emergency reaction in emergency public health event and improve the working efficiency. Key words: Nursing administration research; COVID-19; Workforce; Emergent allocation

Application of semantic location awareness computing based on data mining in COVID-19 prevention and control system

Because of the global spread of COVID-19 in 2020, the analysis of activities and travel behavior of urban residents is the key for the prevention and control of epidemic situation. Based on this, the research on track data mining and semantic location perception is conducted. The analysis of travel behavior characteristics of urban residents is helpful to carry out epidemic prevention activities scientifically. However, the traditional manual survey and statistical analysis cannot meet the needs of the rapid development of urbanization. On the other hand, with the application and development of information technology such as communication, location and storage, a large number of mobile trajectory data of urban residents can be collected and stored. These trajectory data contain rich spatiotemporal semantic information. Through mining and analysis, a lot of valuable travel information can be get and then the daily behavior of individual users and the spatial distribution characteristics of group users’ movement can be found. The results can effectively serve the current epidemic prevention work and can be applied to the infection tracking in the process of epidemic prevention.

Molecular epidemiology of viral diarrhea in Chengdu infants and young children

To investigated the molecular epidemiologic features of viral diarrhea in Chengdu infants and young children, and to establish baseline patterns of etiology, provides the scientific basis for the vaccine development and the epidemic situation control. From March, 2006 to December, 2008, a total of 376 infants and young children from Chengdu area hospitalized for diarrhea in Chengdu Children's Hospital were enrolled in this study. The stool specimen collected from each patient was tested for rotavirus (RV), Calicivirus (CV), astrovirus (AstV) and adenovirus (Adv) by using enzyme linked immunosorbent assay (ELISA) and reverse transcription-polymerase chain reaction (RT-PCR) examination. Among those 376 cases,there were 142 cases (37.76%) of RV infections,which scattered predominantly in October to December. Among 234 cases RV negativity,there were 29 cases HuCV infections (15.85%), 5 cases AstV infections (1.64%), and 8 cases Adv infections (2.04%). RV appeared to be the main etiological agent of viral diarrhea in Chengdu infants and young children,the predominant serotype of RV were G3, P[8] and P[4],HuCV might be the important etiological agent besides RV.