Deteksi Masker Pencegahan Covid19 Menggunakan Convolutional Neural Network Berbasis Android

2021 ◽  
Vol 5 (3) ◽  
pp. 576-583
Author(s):  
Purnama Nyoman ◽  
Putu Kusuma Negara
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Gradient Descent ◽  
Detection Method ◽  
World Health ◽  
The Public ◽  
Network Method ◽  
Public Areas ◽  
The Government ◽  
Health Organization

Masks are an important part of preventing Covid19 disease.The World Health Organization (WHO) have also recommended  the community use masks when doing activities in public areas. There are many types of masks that are used to cover the nose and mouth.  In general, there are about 3 types of masks that are commonly used by the public today, namely medical masks, N95 and cloth masks. This study aims to detect the type of mask used by the community. So that it can make easier for the government to apply discipline in COVID-19 health protocol. The detection method used in this study is a convolutional neural network (CNN). The first step is acquisition of knowledge, which first collects the types of masks on the market, followed by the representation of that knowledge before being modeled into a mathematical calculation formula, which will then be processed using the Convolutional Neural Network method. The system will be carried out by analyzing the recall value, its precision and accuracy.Testing process is carried out on an Android-based device  and the mobilenetV2 framework. In this study, the accuracy value is 90% using ADAM Optimization and 80 % using Gradient descent optimization.

Novel Coronavirus 2019 Outbreak: A Global Epidemic

2020 ◽  
Vol 17 (12) ◽  
pp. 1458-1464
Author(s):  
Sweta Kamboj ◽  
Rohit Kamboj ◽  
Shikha Kamboj ◽  
Kumar Guarve ◽  
Rohit Dutt
Keyword(s):  
World Health ◽  
Upper Respiratory Tract ◽  
Global Epidemic ◽  
The Public ◽  
The Government ◽  
Tract Disease ◽  
The 1960S ◽  
Novel Coronavirus ◽  
Health Organization ◽  
The Impact

Background: In the 1960s, the human coronavirus was designated, which is responsible for the upper respiratory tract disease in children. Back in 2003, mainly 5 new coronaviruses were recognized. This study directly pursues to govern knowledge, attitude and practice of viral and droplet infection isolation safeguard among the researchers during the outbreak of the COVID-19. Introduction: Coronavirus is a proteinaceous and infectious pathogen. It is an etiological agent of severe acute respiratory syndrome (SARS) and the Middle East respiratory syndrome (MERS). Coronavirus, appeared in China from the seafood and poultry market last year, which has spread in various countries, and has caused several deaths. Methods: The literature data has been taken from different search platforms like PubMed, Science Direct, Embase, Web of Science, who.int portal and complied. Results: Corona virology study will be more advanced and outstanding in recent years. COVID-19 epidemic is a threatening reminder not solely for one country but all over the universe. Conclusion: In this review article, we encapsulated the pathogenesis, geographical spread of coronavirus worldwide, also discussed the perspective of diagnosis, effective treatment, and primary recommendations by the World Health Organization, and guidelines of the government to slow down the impact of the virus are also optimistic, efficacious and obliging for the public health. However, it will take a prolonged time in the future to overcome this epidemic.

scholarly journals Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Hong Zhu ◽  
Qianhao Fang ◽  
Hanzhi He ◽  
Junfeng Hu ◽  
Daihong Jiang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
High Accuracy ◽  
World Health ◽  
Tumor Type ◽  
Grade Prediction ◽  
Health Organization ◽  
Deep Learning Model ◽  
The Brain

Meningioma is the second most commonly encountered tumor type in the brain. There are three grades of meningioma by the standards of the World Health Organization. Preoperative grade prediction of meningioma is extraordinarily important for clinical treatment planning and prognosis evaluation. In this paper, we present a new deep learning model for assisting automatic prediction of meningioma grades to reduce the recurrence of meningioma. Our model is based on an improved LeNet-5 model of convolutional neural network (CNN) and does not require the extraction of the diseased tissue, which can greatly enhance the efficiency. To address the issue of insufficient and unbalanced clinical data of meningioma images, we use an oversampling technique which allows us to considerably improve the accuracy of classification. Experiments on large clinical datasets show that our model can achieve quite high accuracy (i.e., as high as 83.33%) for the classification of meningioma images.

Convolutional Neural Network Based American Sign Language Static Hand Gesture Recognition

2019 ◽  
Vol 10 (3) ◽  
pp. 60-73 ◽  
Author(s):  
Ravinder Ahuja ◽  
Daksh Jain ◽  
Deepanshu Sachdeva ◽  
Archit Garg ◽  
Chirag Rajput
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
American Sign Language ◽  
Sign Language ◽  
Automated System ◽  
World Health ◽  
American Sign ◽  
Hand Gestures ◽  
The World ◽  
Health Organization

Communicating through hand gestures with each other is simply called the language of signs. It is an acceptable language for communication among deaf and dumb people in this society. The society of the deaf and dumb admits a lot of obstacles in day to day life in communicating with their acquaintances. The most recent study done by the World Health Organization reports that very large section (around 360 million folks) present in the world have hearing loss, i.e. 5.3% of the earth's total population. This gives us a need for the invention of an automated system which converts hand gestures into meaningful words and sentences. The Convolutional Neural Network (CNN) is used on 24 hand signals of American Sign Language in order to enhance the ease of communication. OpenCV was used in order to follow up on further execution techniques like image preprocessing. The results demonstrated that CNN has an accuracy of 99.7% utilizing the database found on kaggle.com.

scholarly journals Investigation of the Level of Public Awareness Outcome of COVID -19 Pandemic among Nigerians

2020 ◽  
pp. 1-8
Author(s):  
Azuonwu Obioma ◽  
◽  
Ihua Nnenna ◽  
Ahiakwo Christian ◽  
◽  
...  
Keyword(s):  
General Public ◽  
Public Awareness ◽  
Secondary Data ◽  
World Health ◽  
Global Public Health ◽  
The Public ◽  
The Government ◽  
Health Organization ◽  
Associated Risk Factors ◽  
High Level

The COVID-19 pandemic has been considered to be very phenomenal as the period is marked with some unimaginable Health crises across the globe. COVID-19 has been a global Public Health threat widely affecting the entire populace irrespective of the class and sex across the region of the world. This has attracted lots of sensitization and interventions from the appropriate approved Health agencies such as World Health Organization, Nigeria Centre for Disease Control and others to better inform the general public about the nature and mode of operandi of the pandemic virus in the absence of an accepted therapeutics and vaccines as at the time of this study. However, the media is flooded with information; not excluding some misconceptions about COVID-19 pandemic. These conflicting information are taken by the general public without reservation, hence, the study investigated the level of awareness of the public about COVID-19 virus, in relation to general knowledge, signs/symptoms, associated risk factors, transmission/spread and misconceptions. The study was delimited to Nigerians who had access to the internet. The study instrument was a self-structured questionnaire, validated by experts in this area. A Cronbach Alpha revealed a reliability index of 0.92. The online descriptive survey on the awareness level of the public, utilized Google form technique to create the questionnaire which was sent through emails and links to various social media and private platforms. Five research questions and hypothesis guided the study. A combination of primary and secondary data sources aided the study. Modified Likert scale (four points) was used and a criterion mean of 2.5 was used as the cut-off for either aware/agree (>2.5) or not aware/disagree (<2.5). Statistical Package for Social Science version 21 was used to estimate descriptive and inferential statistics at 5% alpha level for deduction. A response rate of 99.1% was obtained and a sample size of 347 was used. The study outcome suggests many interesting phenomena concerning public awareness about the COVID-19 pandemic. There is a high level of awareness of COVID-19. However, there is a need for the government and media platforms to curtail the spread of fake news and correct the misconceptions about COVID-19 among her citizens in the region.

Novel Coronavirus in India Outbreaks around World: A Statistical Analysis of Odisha, India & World

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Debabrata Singh ◽  
Suman Sekhar Sarangi ◽  
Milu Acharya ◽  
Surjeet Sahoo ◽  
Shakti Ketan Prusty ◽  
...  
Keyword(s):  
Research Work ◽  
World Health ◽  
Swine Flu ◽  
Protective Measures ◽  
The Public ◽  
The World ◽  
Rate Of Recovery ◽  
The Government ◽  
Novel Coronavirus ◽  
Health Organization

Background: The Public Health Emergency of International Concern by the World Health Organization (WHO) declared novel Coronavirus (nCoV-2019) outbreaks in 2019 and is pandemic. Methods: This research work made an analysis of the nCoV-2019 outbreak in India solely based on a mathematical model. Results: The historical epidemics in the world are plague, AIDS, Swine flu, ebola, zika virus, Black Death and SARS. Considering the model used for SARS 2003, the present research on Covid-2019 estimates characteristics of rate of infectious (I) and rate of recovery(R) which leads to estimation the I and R leads to predict the number of infectious and recovery. Through ruling out the unpredictable, unreasonable data, the model predicts that the number of the cumulative 2019-nCoV cases may reach from 3398458(mid of May) to 15165863, with a peak of the unrecovered infective (2461434-15165863) occurring in late April to late July. In this paper we predicate how the confirmed infected cases would rapidly decrease until late March to July in India. We also focus how the Government of Odisha (a state of India) creates a history in the protective measures of Covid-19. Conclusion: The growing infected cases may get reduced by 70-79% by strong anti-epidemic measures. The enforcement of shutdown, lockdown, awareness, and improvement of medical and health care could also lead to about one-half transmission decrease and constructively abridge the duration of the 2019 n-CoV.

Contribution to the Issue of Essential Drugs in Czechoslovakia

1992 ◽  
Vol 26 (7-8) ◽  
pp. 1013-1014
Author(s):  
Josef V. Kolář ◽  
Viliam J. Foltán
Keyword(s):  
Dosage Forms ◽  
World Health ◽  
Total Consumption ◽  
Organization Model ◽  
The Public ◽  
Essential Drugs ◽  
Organization And Management ◽  
The World ◽  
The Government ◽  
Health Organization

OBJECTIVE: To determine the ratio represented by essential drugs (EDs) in the total consumption of drugs in Czechoslovakia in 1989. DESIGN: Retrospective analysis of the assortment and consumption of EDs in 1989. SETTING: Department of the Organization and Management of Pharmacy, Faculty of Pharmacy, Bratislava. MAIN OUTCOME MEASURES: Consumption of drugs and/or pharmacotherapeutic groups, expressed by the number of formulations, number of units, and in financial terms. RESULTS: EDs constitute approximately one-third of the total consumption of drugs in Czechoslovakia (both in terms of volume and finances); almost 60 percent of EDs have dosage forms and concentrations identical to those shown in the World Health Organization Model List of Essential Drugs (Sixth List). CONCLUSIONS: The results obtained indicate that there is need for a regular updating of the drug policy within the public health branch of the government to more effectively regulate the production and import of drugs.

scholarly journals Impact of lockdown measures in abating the COVID-19 pandemic: Lessons from India’s phased approach

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Singh ◽  
K Sharma
Keyword(s):  
Public Health ◽  
World Health ◽  
The Public ◽  
Daily Data ◽  
Travel Restrictions ◽  
Community Transmission ◽  
The Government ◽  
Novel Coronavirus ◽  
Health Organization ◽  
The Impact

Abstract Background World Health Organization (WHO) declared that the outbreak of novel coronavirus (2019-nCoV) constituted a Public Health Emergency of International Concern (PHEIC) on 30 January 2020 and characterized the novel coronavirus disease (COVID-19) as a pandemic on 11 March 2020. India enacted such measures early on for effective mitigation and suppression to reduce community transmission, including an onerous national lockdown. The impact of the health system governance is quite apparent among all stakeholders including the public in such emergency contexts. Methods We compiled the daily data on the number of COVID-19 cases, recoveries and deaths from January 30th until June 16th, 2020. Different stages were categorized from post PHEIC declaration (pre-lockdown) phase to lockdown phases and unlocking phase as implemented. The several measures adopted by the national government were structured in four broad categories as Governance and socioeconomic, travel restrictions, lockdown and public health measures. These measures were compared during each phase. Results It was revealed that while the cases are rising the phased restrictions has helped in delaying the peak and remarkably interrupted the rate of transmission. The national average doubling rate was 3 days at the beginning which improved to 22 days. The basic reproduction number remained close to 1 during the last week of lockdown. However, the initial interruption of needed aid and technical support had negative social and economic impacts on the affected population. Conclusions As the situation abates following the measures adopted by the government, an articulate strategy of unlocking through increased testing and prompt isolation needs to be developed for more effective reduction and protecting the livelihoods allowing to further relax the lockdown measures. Key messages There is need for the local government to consider a strategic easing of the lockdown for protecting the rights of the most affected population. As the transmission rates are low, the easing of lockdown can be benefited from improved testing and prompt isolation.

scholarly journals Study on Convolutional Neural Network to Detect COVID-19 from Chest X-Rays

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Azher Uddin ◽  
Bayazid Talukder ◽  
Mohammad Monirujjaman Khan ◽  
Atef Zaguia
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Close Contact ◽  
World Health ◽  
Contact Tracing ◽  
X Rays ◽  
Health Crisis ◽  
Gastrointestinal Problems ◽  
The World ◽  
Health Organization

The world is facing a pandemic due to the coronavirus disease 2019 (COVID-19), named as per the World Health Organization. COVID-19 is caused by the virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which was initially discovered in late December 2019 in Wuhan, China. Later, the virus had spread throughout the world within a few months. COVID-19 has become a global health crisis because millions of people worldwide are affected by this fatal virus. Fever, dry cough, and gastrointestinal problems are the most common signs of COVID-19. The disease is highly contagious, and affected people can easily spread the virus to those with whom they have close contact. Thus, contact tracing is a suitable solution to prevent the virus from spreading. The method of identifying all persons with whom a COVID-19-affected patient has come into contact in the last 2 weeks is called contact tracing. This study presents an investigation of a convolutional neural network (CNN), which makes the test faster and more reliable, to detect COVID-19 from chest X-ray (CXR) images. Because there are many studies in this field, the designed model focuses on increasing the accuracy level and uses a transfer learning approach and a custom model. Pretrained deep CNN models, such as VGG16, InceptionV3, MobileNetV2, and ResNet50, have been used for deep feature extraction. The performance measurement in this study was based on classification accuracy. The results of this study indicate that deep learning can recognize SARS-CoV-2 from CXR images. The designed model provided 93% accuracy and 98% validation accuracy, and the pretrained customized models such as MobileNetV2 obtained 97% accuracy, InceptionV3 obtained 98%, and VGG16 obtained 98% accuracy, respectively. Among these models, InceptionV3 has recorded the highest accuracy.

scholarly journals EVALUASI PROGRAM PENDAMPINGAN PEMBUATAN PERANGKAT CUCI TANGAN OTOMATIS DALAM UPAYA MITIGASI COVID-19 DI SULAWESI TENGGARA

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Hasmina Tari Mokui ◽  
Luther Pagiling ◽  
Tachrir Tachrir ◽  
Ranno Marlany Rachman
Keyword(s):  
Hand Washing ◽  
World Health ◽  
Online Media ◽  
Mentoring Program ◽  
The Public ◽  
Important Means ◽  
The Government ◽  
Health Organization ◽  
Display Location ◽  
Online Feedback

The number of positive cases of COVID-19 has continued to increase since it was announced by the Government in early March 2020. According to the World Health Organization (WHO), the provision of hygiene and sanitation facilities is one of the most important means of mitigating the outbreak of COVID-19 and other infectious diseases. This study aims to evaluate the socialization of assistance in making automatic handwashing devices online to communities in Southeast Sulawesi as an effort to mitigate COVID-19. The socialization was carried out by collaborating with the Southeast Sulawesi COVID-19 SATGAS Secretariat as a display location for a prototype automatic hand washing device. Meanwhile, assistance is carried out through the implementation of webinars via Zoom and the publication of video tutorials on social media in the form of YouTube and other media. The performance evaluation of the mentoring program is carried out in two forms, namely searches on online media and through online feedback presented after the webinar. Based on the response from online media and the feedback, the public responded positively to this and some of them were interested in making similar hand washing devices.

scholarly journals DRINKING WATER POLLUTION IN INDIA - A CHALLENGE FOR HUMAN HEALTH

2015 ◽  
Vol 3 (9SE) ◽  
pp. 1-5
Author(s):  
Anjana Jain
Keyword(s):  
Drinking Water ◽  
Drinking Water Treatment ◽  
World Health ◽  
Polluted Water ◽  
Negative Effects ◽  
The Public ◽  
Main Challenge ◽  
The World ◽  
The Government ◽  
Health Organization

According to the latest report of the World Health Organization, 7 lakh 83 thousand people die due to polluted water every year in India. The main challenge of the Government of India is to provide clean water to the public. Therefore, in the study presented, an attempt has been made to know why there is pollution of drinking water, what types of diseases are caused by this polluted water, d. An attempt has been made to know its negative effects and pure drinking water treatment. The data and facts have been compiled on a secondary basis. विष्व स्वास्थ संगठन की ताजा रिपोर्ट के अनुसार भारत में प्रतिवर्ष 7 लाख 83 हजार लोग प्रदूषित जल की वजह से मरते है। जनता को साफ पानी पहुचाना भारत सरकार की मुख्य चुनौति है। अतः प्रस्तुत अध्ययन में यह जानने का प्रयास किया गया है कि पेयजल प्रदुषण क्यों होता है घ् इस प्रदूषित जल से किस प्रकार की बीमारियाँ उत्पन्न होती है घ् इसके नकारात्मक प्रभाव एवं शुध्द पेयजल उपचार को जानने का प्रयास किया गया है। आंकड़ो व तथ्यों का संकलन द्वितीयक आधार पर किया गया है।

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