Advanced Digital Health Care Information Sharing for Covid19-Version 2.0

The covid-19 virus has been linked to an acute outbreak of the disease that has passed for years. Clear explanations of these should be provided by trained professionals and those with healthcare experience who have the energy to work on intensive care. The World Health Organization (WHO) has taken various steps to address this. These can be audited by NETCCN (National Emergency Telecritical Care Network) using digital technology. This section explains a lot. It is proposed by the National Emergency Telecritical Care Network (NETCCN). This digital health information will be solved as an updated version 2.0, which will greatly improve future emergencies. The proposed method of digital predication support for Articial Intelligent (AI). Use these to learn historical information about the virus. This technology can detect telemetry, complex maintenance robotics and monitoring intelligence. These can be developed to integrate multiple virus-related information. All of these will be coordinated by health professionals. Frequently testing should be done to ensure continued readiness to protect against emergency disasters.


Introduction
or Coronavirus disease 2019 is spreading rapidly around the world. April 3, 2020 until, COVID 19 1,002,818 people worldwide infected and caused the deaths of 52.571. In India alone, April 3, 2069 cases and 53 deaths were reported up to 2020. With the sharp increase in the number of attacks occur, COVID 19, which is increasing the number of pregnant women and children is a matter of concern. Coronavirus (CoV) family including viruses that cause the common cold, but in some cases the cause of serious diseases such as Severe Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV) and currently SARS-CoV-2.1 COVID 19 1The new strain of SARS Coronavirus-2 Coronavirus for the pathogen rst detected in Wuhan, 2019.2 severe respiratory syndrome in China (SARS) or, coronavirus beta corona like SARS coronavirus bats, their most common ancestor 19 HKU9-1.3According reported to be transmitted person to person, mainly through droplets and contact. COVID 19 often causes mild to moderate human respiratory illnesses and infections usually do not require any special treatment to recover. The risk is higher in populations that are particularly those with the presence of diabetes, heart disease, respiratory problems, cancer or any other immune suppression based diseases. Thus, an increase in the number of deaths can be seen as a disease problem in the elderly, the elderly. There are 19 children affected by COVID.
Recent data indicate that children are more likely to have mild symptoms. Among children who were positive, 45% did not show regular symptoms, and 42% did not show mild respiratory symptoms. Although 13% were asymptomatic, children showed no signs of life-threatening symptoms. Children with basic medical conditions such as asthma or diabetes may have higher rates of serious illness; Infants and young children can also be at high risk. In general, children do not know they seem to be at high risk, but they can spread the virus, and other precautions such as the necessary precautions should be taken together, avoiding playing along with the precaution.
There is very limited information on who is affected by COVID 19, including affected children and infants. Clinical properties and effects on 10 infants and 10 infants in 9 mothers and 10 infants in the con group. Rmed SARS-cov-2 infection for February 5, 2020.11. 5 January 20 Chinese hospitals indicate that most COVID patients had fever, cough, and diarrhea in only 1 case. These mothers provided 8 boys and 2 girls, of which 10 (8 singletons and two single beds), 4 were full-term babies'premature system. Among the10 children, 6 out of 90 had a Pediatric Critical Illness Score (PCIS) with symptoms such as rapid heartbeat, abnormal liver function, vomiting and pneumonia, fever and shortness of breath. Of these 10 children, 9 have recovered and been discharged from the hospital. However, the SARS-cov-2 con network worsened from day 1 to day 1 with negative results for 1 child. From here there were no vertical spreading death and throat stick specimens.
Pregnant women are more susceptible to infections and viral diseases due to changes in the immune system and organs. Although hospital visits when there is a shortage of medications may increase the risk of infection, pregnancy can cause further damage. The third trimester of pregnancy is reported the most signi cant groups of additional defensiveevents for COVID 19 enlargement in pregnant women because of the reported (4,19). However, the accuracy of the report provided cannot be nally con rmed.
Clinical symptoms in pregnant women are considered consistent with those seen in non-pregnant adults; and show an increase in white matter (41%) and neutrophils (83%) in pregnant women. Features mentioned Glass opaque method on the oor Facility for detection by COVID19 pneumonia. Alveolar damage is associated with lymphopenia in the blood which leads to in ltration of cell brous mucus, mucous membrane formation, pneumonia and in ammatory lymphocytes. It is observed in these patients.
Improved coordination and high are also reported to occur clinically in gravidfemales with COVID 19. The evidence of congenital vaginal infection reported in the study of women who gave birth. It is not known whether normal childbirth increases the risk of infection. Ongoing studies are required that do not provide risk assessment and timing guidelines and methods of administering COVID to 19 patients.
Previous studies of the SARS virus show that the virus can cause premature birth, uterine growth retardation, and uterine infant death; therefore, screening of suspected cases during pregnancy and patients and their children requires continuous monitoring. However, there is no clear evidence of vaginal birth of the baby and the risk of cesarean delivery from the mother.
Studies show that treatment increases the risk of women with gestational diabetes and normal pregnancy, preeclampsia, thus exposing patient to a higher risk of COVID 19.
The pregnant susceptible to the virus than the average human, especially in the case of chronic diseases, and are more susceptible to respiratory diseases and pneumonia. Therefore, different strategies should be implemented. Various mechanisms are being developed for the protection of pregnant women, and with the increase in knowledge of the pathogenicity of diseases, advanced solutions should be found. According to the established sir system framework the work should include multiple "vulnerable", "infectious" and "recovery / delete" scores per population, and de ne the dynamic relationship of the rst-order differential equation.

Related
X. Wang et al. (2020) described as Accurate and rapid diagnosis of COVID, 19 suspected cases plays an important role in timely isolation and medical treatment. Chest CD Automatic COVID 19 Diagnosis In-depth learning pattern development may be helpful in combating SARS-cov-2 outbreak. Deep learning within the weak structure is to use the COVID 19 classi cation and the module of the three-dimensional transformer to create the location of the decay. Lung region net segmentation for each patient uses a pre-exercise; then the 3D lung region is classi ed sent to the 3D deep neurological network to predict the probability of infection with COVID 19; COVID 19 translates into a combination of decay activation area and a classi cation network of unattended connected components. 499 CD Module Training and Testing 131 Transformer module is used.
X. Ouyang et al (2020) described as the 3D Convolutional Network (CNN) diagnostic decision-making online attention module, with the lungs in the main affected area. It is noteworthy that for the rapid exacerbation of COVID 19 after the onset of partial symptoms there is an asymmetry in the volume distribution in the affected area between COVID 19 and the cap. Therefore, the developed a dual model strategy to eliminate unbalanced learning. Our method is the data of the largest multi-core transformer COVID from 19 8 hospitals. During the training veri cation phase, the collected 1588 patients with 5 times more cross-examination than 2186 CT scans. In the trial phase, an used another independent large data set that tested 2796 CT scans of 2057 patients.
R. F. Sear et al (2020) described as Dangerous COVID 19 there is a huge amount of misconduct on the internet. The learning machine to measure the content of COVID 19, health guidance, especially vaccine ("anti-VAX") online antagonist. A found that the development of the anti-VAX community around COVID 19 a less focused litigation ("VAX pro") community than its counterpart. However, -in the anti-VAX community it is possible to obtain a broad cross-section of the COVID 19 vaccine, such as personal surveillance or mandatory rapid monitoring guidance from individuals. Therefore, the appearance in the anti-VAX community is better to attract more new support from the pro-VAX community. test, which requires low-cost development, rapid instrumentation to detect and effectively diagnose a large number of viruses. Although a chest x-ray scan is an effective tool candidate if the tests are largely personalized up to this, the images produced by the scan should be accurately examined as soon as possible. COVID 19 Bilateral pulmonary parenchymal ground glass and lung integration are sometimes opaque, with a circular shape and peripheral lung distribution. In this task, our goal is to quickly extract such small areas as chest X-ray images that may contain COVID-19 features being detected.
Ouyang, X. et al (2020) described as COVID 19 has caused a global epidemic and has become a very urgent threat around the world. Great power and resources have been invested in the development of immune, disease analysis and treatment strategies. Although nucleic acid testing has been used primarily as a gold standard to con rm this viral RNA-based disease, research has shown that such a technique has a high false-negative rating, especially in patients in the early stages, so CT imaging con rmation is an important diagnostic method for positive COVID 19. Although the development of Arti cial Intelligence (AI) computer assist systems based on CD COVID 19 is progressing rapidly, most existing methods can only classify the most advanced segmentation methods in the state when high level human intervention is possible.

Cecilia, J. et al (2020) described as Mobile Crowd Sensor (MCS) is a technology in which smartphones perceive devices such
as forecasting, the hidden bene ts of sharing data about other people within the community. The use of shared information is derived from the online social networks (OSN) embedded in MCS mobile devices which include two different trends (1) mobile sense, and (2) sensor community, original information. In this article, the present chronological development of infectious COVID 19 in Spain, and I summarize MCS research work that addresses the outbreak of COVID 19 in Spanish society. In fact, the risk of COVID 19 infection is being given in today's society; the economy is greatly affected by the control of government and social gaps through action.
ONODA, H. (2020) described as COVID 19 Smart Way to Waste Japan After Active City Management The author's research team explains the results. In particular, the author points out that virtual reality distance education can be an effective solution.
The job chain management system helps to promote non-cash in addition to waste detection. Supports multi-purpose handset system self-driving cars and links to smart junk so it can facilitate automatic junk collection.

Implementation Of The Proposed Method
The evolving environment (2.0) and solve it in the digital health COVID 19 to discuss changes in the academic Society Critical Care Medicine (SCCM) and the Telemedicine and Advanced Technology Research Center (TATRC) from the peer-reviewed literature evaluating the subject matter experts.
The Fig. 2 shows Public health is growing and it is platform will be activated. Many improvements (formerly COVID-19-2.0) COVID 19 to introduce a clear resolution even with planned controlled trials have been tested, have proven to be suitable for other health problems is a recent model.

Health Care Center
The health system is overcrowded, it develops as a result of conditions that can be prevented and treated with vaccines and dramatically increase direct mortality from both indirect deaths. While balancing the demand for a direct response to COVID-19, countries are engaged in strategic planning and coordinated action to provide essential medical services to mitigate the risk of systemic disruption. The have to make a di cult decision. This document expands the content of the donor country's readiness and response planning guidelines, and helps to reorganize countries at the national, regional and regional levels and maintain access to high quality standards. Provides guidance on goals and immediate actions to consider in health care for all.

COVID 19(2.0) Health Care System
The applications of the digital system are of great help to us. This technology NETCCN system used in it helps us have security and get rid of the fears within us easily. This allows the medical aids used and the opinions of the experts to be positive. The World Health Organization (WHO) has published several useful information. All the experts and medical team can easily learn it. And clearly de nes the defensive system in these. Performance is rated nationally by this NETCCN digital appraisal.

Data Weight Calculate
Researchers at Cleveland Hospital have developed one of the world's rst risk prediction models for clinical delivery to predict a speci c patient's potential for disease, as well as a positive test for COVID 19. Risk prediction sample COVID 19 shows risk age, race, gender, socioeconomic status, vaccine history and association of current drugs. Risk calculation means that healthcare providers use a new tool to integrate patient risk assessment and maintenance outcomes. It is intended for the priority provider's COVID-19 selection, but is not designed for use by asymptomatic individuals who are simply interested in its risks.

Result And Discussion
The front end tool PYTHON is simulated using a program created in python language. At the end of the simulation output data processing can use the trace le is calculated to CSV le. The qualify for recognition and have faced obstacles. Educational background is restricted by default. Note that the position of the table 1 quali ed medical procedure table. Accounting guidelines and regulations for telemedicine and medical vocabulary in the form of the model is inadequate management controls.

Data Analysis and Interpretation
As can be seen from the above table of data analysis that in the almost in all the cases the calculated value is less than the table value, this shows that most of the respondents are agreed to the point in question. The hence in case of satisfaction from medication, it is found that most of showthe Fig. 2    Out of all the ratio 3.3 % of the respondents show the Fig. 4 using motivation only ratio 2.9% were satis ed with their present condition and physical health. As a matter of fact this is a good sign but then again it is felt that if some professionals are engaged in the process then the sign of faster recovery can be seen.  Therefore, into the Satisfaction from Recovery from Meditation, while near regarding the respondents are ready because the arrival vaccine administration o cers or doctors, a huge distinction is to that amount customary capsules are given. At the equal period that turned oversea that there execute be incomplete Physical Strength has increase stand addicted after the affected person because of quicker quotation (shown in gure.5).

Conclusion
Page 9/14 The recent national and international events have already impacted the medical infrastructure in large-scale emergency care, and the challenge facing medical needs is to meet these needs. The proposed analysis of arti cial intelligence (AI) based Classi cation ANN Algorithmclearly de nes the support for all digital predictions. An approach to address these challenges exists in the existing telemedicine and other digital medical technologies, skills and expertise to expand the local, provincial and central health. Global disaster or emergency situation needs to provide a response in the operation of the digital NETCCN health framework, exible, extensible, exible, and most particularly, is in development. It is necessary to ensure the existence. Skills derived from capability will now enable NETCCN to retain, deliver, deploy and deploy quickly to a level of advanced care to make our country more secure during crisis.

Declarations
Con ict of interest: There is no con ict of interest. Funding: There is no funding information.
Availability of data and material: There is no availability of data and material.
Code availability: There is no code availability.
Author's contribution: There is no author's contribution.