scholarly journals Covid19 Pandemic: Management and Global Response

2020 ◽  
Vol 12 (1si) ◽  
pp. 121
Author(s):  
Haeril Amir ◽  
Sudarman Sudarman ◽  
Akbar Asfar ◽  
Andi Surahman Batara
Keyword(s):  
Rapid Test ◽  
Central China ◽  
World Health ◽  
Exclusion Criteria ◽  
Global Response ◽  
Referral Hospitals ◽  
The Face ◽  
The Government ◽  
Health Organization ◽  
Pharmaceutical Interventions

Introduction: 2019-nCoV as the term for the new coronavirus that causes outbreaks of pneumonia in Wuhan City, central China by the World Health Organization (WHO), on June 28, 2020, to confirm as many as 9,843,073 cases globally, Therefore, efforts to be made to prevent the spread of this virus must be done immediately and very urgently. The purpose of literature is to discuss the global response to Covid19 and find prevention strategies in the form of non-pharmaceutical interventions (NPIs) or non-pharmaceutical interventions. Discussion: This literature review using PICO and PRISMA techniques in extracting the research data based on inclusion and exclusion criteria of several articles on the Database PubMed, Science Direct, and Wiley Online. The readiness of the Government, both in conducting initial screening (Rapid test), readiness of referral hospitals, limiting areas and activities as well as awareness of citizens in implementing new habit adaptations, namely wearing masks, maintaining distance and washing hands regularly are the keys to preventing the spread of the Covid19 virus. Conclusion: articles search from multiple databases, with filtering 2015-2020 study, found as many as 7 Full-text research articles, in the face of a pandemic, we need the readiness of the government, health and infrastructure support as well as coordination and cooperation among all parties.

scholarly journals IMPLEMENTASI NILAI-NILAI PANCASILA DALAM ERA “NEW NORMAL”

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Sri Mirnawati
Keyword(s):  
World Health Organization ◽  
Community Resilience ◽  
World Health ◽  
National Interests ◽  
New Normal ◽  
The Face ◽  
The Government ◽  
Life Philosophy ◽  
Health Organization

The Covid-19 pandemic that Indonesia has been facing since March 2020 requires well-planned handling to deal with this new normal or new normal. Adopt health protocols that are in accordance with World Health Organization (WHO) directives that apply globally to strengthen community resilience in the face of the Covid-19 pandemic. Through various policies that have been established by the Government of Indonesia to respond to this Covid-19 pandemic health disaster. The level of transmission and spread of Covid-19 is still increasing and there has not been a significant decrease because the implementation of policies that handle Covid-19 which refers to WHO directives are still faced with many problems so that the handling is still not optimal and effective. Therefore, it is necessary to change the approach to handling the Covid-19 pandemic which is based on the values of Pancasila as a view of the life philosophy of the nation and the Indonesian people when viewed from the perspective of national interests, which is expected to increase the useful results of the efforts to handle the Covid-19 pandemic carried out by the Government. The implementation of Pancasila values in handling the Covid-19 pandemic can create a new normal or a new normal that is free from Covid-19.

scholarly journals Dampak Instruksi Physical Distancing dari Pemerintah dalam Mencegah Penyebaran Virus Corona pada Pembelajaran Jarak Jauh (PJJ) Peserta Didik MI/SD di Indonesia

2020 ◽  
Vol 1 (2) ◽  
pp. 57-70
Author(s):  
Eliza zalsabila ◽  
Anis Fuadah Z.
Keyword(s):  
Distance Learning ◽  
Large Family ◽  
Good Health ◽  
Physical Distance ◽  
World Health ◽  
Corona Virus ◽  
The Face ◽  
The Government ◽  
Health Organization ◽  
The Impact

Health in life is very important. In dressing, food, and all activities in life must be carried out cleanly to maintain good health for ourselves and the environment. At the end of 2019 unrest arises in all corners of the earth due to the emergence of a new type of virus, the corona / covid-19 virus. Corona virus is a large family of viruses that attack the respiratory syndrome system. Viruses that have never been identified in humans before, according to WHO (World Health Organization) corona virus is zoonosis, which means transmitted between animals and humans. In this journal the title of the Impact of Physical Distance Instructions from the Government in Preventing the Corona Virus Spread on the Distance Learning of MI / SD Students in Indonesia. By raising the title aims to provide education to the general public in the face, prevent, and continue to live in a situation of unrest such as this. The journal is written in a descriptive form and also uses the literature method that is relevant to the title of the journal being raised.   Keywords: Corona Virus, Prevention, Distance Learning  

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.

COVID-19: A comparative study of SARS, MERS and COVID-19

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Chandra Mohan ◽  
Vinod Kumar
Keyword(s):  
Public Health ◽  
Comparative Analysis ◽  
Central China ◽  
World Health ◽  
Unknown Aetiology ◽  
Economic Sectors ◽  
Past Life ◽  
Current Article ◽  
Disease Spreading ◽  
Health Organization

: World Health Organization (WHO) office in China received the information of pneumonia cases of unknown aetiology from Wuhan, central China on 31st December 2019, subsequently this disease spreading in china and rest of world. Till the March 2020 end, more than 2 lakhs confirmed cases with more than 70000 deaths were reported worldwide, very soon researchers identified it as novel beta Corona virus (virus SARS-CoV-2) and its infection coined as COVID-19. Health ministries of various countries and WHO together fighting to this health emergency, which not only affects public health, but also started affecting various economic sectors as well. The main aim of the current article is to explore the various pandemic situations (SARS, MERS) in past, life cycle of COVID-19, diagnosis procedures, prevention and comparative analysis of COVID-19 with other epidemic situations.

ARIMA model for forecasting COVID-19 Death cases in India (Preprint)

2020 ◽  
Author(s):  
Jeya Sutha M
Keyword(s):  
Arima Model ◽  
Public Health Emergency ◽  
World Health ◽  
The People ◽  
The World ◽  
The Status ◽  
The Government ◽  
Health Organization ◽  
Spread Of Infection ◽  
Death Cases

UNSTRUCTURED COVID-19, the disease caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a highly contagious disease. On January 30, 2020 the World Health Organization declared the outbreak as a Public Health Emergency of International Concern. As of July 25, 2020; 15,947,292 laboratory-confirmed and 642,814 deaths have been reported globally. India has reported 1,338,928 confirmed cases and 31,412 deaths till date. This paper presents different aspects of COVID-19, visualization of the spread of infection and presents the ARIMA model for forecasting the status of COVID-19 death cases in the next 50 days in order to take necessary precaution by the Government to save the people.

Non-Communicable Diseases and Global Health Politics

2019 ◽  
pp. 626-659
Author(s):  
Roger Magnusson
Keyword(s):  
Respiratory Diseases ◽  
Communicable Diseases ◽  
World Health ◽  
Global Response ◽  
Non Communicable Diseases ◽  
Health Politics ◽  
Chronic Respiratory Diseases ◽  
Health Organization ◽  
High Level ◽  
And Control

Non-communicable diseases (NCDs), including cardiovascular disease, cancer, chronic respiratory diseases, and diabetes, are responsible for around 70 percent of global deaths each year. This chapter describes how NCDs have become prevalent and critically evaluates global efforts to address NCDs and their risk factors, with a particular focus on the World Health Organization (WHO) and United Nations (UN) system. It explores the factors that have prevented those addressing NCDs from achieving access to resources and a priority commensurate with their impact on people’s lives. The chapter evaluates the global response to NCDs both prior to and since the UN High-Level Meeting on Prevention and Control of Non-communicable Diseases, held in 2011, and considers opportunities for strengthening that response in future.

scholarly journals The Utilization of Protective Face Masks among Polish Healthcare Workers during COVID-19 Pandemic: Do We Pass the Exam?

2021 ◽  
Vol 18 (2) ◽  
pp. 841
Author(s):  
Radomir Reszke ◽  
Łukasz Matusiak ◽  
Piotr K. Krajewski ◽  
Marta Szepietowska ◽  
Rafał Białynicki-Birula ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
Medical Profession ◽  
Cross Sectional Study ◽  
Internet Survey ◽  
World Health ◽  
Cross Sectional ◽  
Protective Measures ◽  
Who Criteria ◽  
The Face ◽  
Health Organization

Relevant personal protective measures during the COVID-19 pandemic include face masks, possibly decreasing the risk of infection among the general population and healthcare workers (HCW) if utilized properly. The aim of the study was to assess whether different Polish HCW utilize face masks according to the 2020 World Health Organization guidance (WHO) criteria. This cross-sectional study included 1156 respondents who participated in an internet survey evaluating mask-related behaviors. All the WHO criteria were complied with by 1.4% of participants, regardless of medical profession, specialty or place of employment. HCW mostly adhered to criterion 1 (C1; strict covering of the face and mouth with the mask; 90.8%), C4 (washing/disinfecting the hands after touching/taking off the mask; 49%) and C3 (taking off the mask properly without touching the anterior surface; 43.4%), whereas C2 (avoidance of touching the mask with hands) was complied with least commonly (6.8%). HCW with mask-induced itch (31.6%) complied to C2 less often (odds ratio 0.53; p = 0.01). The study reveals that Polish HCW rarely adhere to all the 2020 WHO guidance criteria on the use of masks, whereas the adherence to particular criteria is variable and may be associated with the presence of skin-related conditions and other factors. Better compliance with the recommendations in the future is necessary to increase personal safety of HCW and prevent the transmission of SARS-CoV-2.

scholarly journals Influenza vaccination during pregnancy and influencing factors in Korea: A multicenter questionnaire study of pregnant women and obstetrics and gynecology doctors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Byung Soo Kang ◽  
San Ha Lee ◽  
Woo Jeng Kim ◽  
Jeong Ha Wie ◽  
In Yang Park ◽  
...  
Keyword(s):  
Influenza Vaccination ◽  
Pregnant Women ◽  
Influencing Factors ◽  
World Health ◽  
Obstetrics And Gynecology ◽  
Health Authorities ◽  
The Government ◽  
Vaccine Information ◽  
Health Organization ◽  
Maternal Influenza

Abstract Background Although the World Health Organization and health authorities in most countries recommend that pregnant women receive inactivated influenza virus vaccines, coverage remains low. This study aimed to investigate (1) the proportion of pregnant women who received an influenza vaccination and influencing factors and (2) the proportion of obstetrics and gynecology (OBGYN) doctors who routinely recommend influenza vaccination to pregnant women and influencing factors. Methods Two separate, anonymized questionnaires were developed for physicians and pregnant and postpartum women and were distributed to multicenters and clinics in South Korea. The proportions of women who received influenza vaccination during pregnancy and OBGYN doctors who routinely recommend the influenza vaccine to pregnant women were analyzed. Independent influencing factors for both maternal influenza vaccination and OBGYN doctors’ routine recommendations to pregnant women were analyzed using log-binomial regression analysis. Results The proportion of self-reported influenza vaccination during pregnancy among 522 women was 63.2%. Pregnancy-related independent factors influencing maternal influenza vaccination were “(ever) received information about influenza vaccination during pregnancy” (OR 8.9, 95% CI 4.17–19.01), “received vaccine information about from OBGYN doctors” (OR 11.44, 95% CI 5.46–24.00), “information obtained from other sources” (OR 4.38, 95% CI 2.01–9.55), and “second/third trimester” (OR 2.41, 95% CI 1.21–4.82).. Among 372 OBGYN doctors, 76.9% routinely recommended vaccination for pregnant women. Independent factors effecting routine recommendation were “working at a private clinic or hospital” (OR 5.33, 95% CI 2.44–11.65), “awareness of KCDC guidelines” (OR 3.11, 95% CI 1.11–8.73), and “awareness of the 2019 national free influenza vaccination program for pregnant women” (OR 4.88, 95% CI 2.34–10.17). OBGYN doctors most commonly chose ‘guidelines proposed by the government or public health (108, 46%) and academic committees (59, 25%), as a factor which expect to affect the future recommendation Conclusion This study showed that providing information about maternal influenza vaccination, especially by OBGYN doctors, is crucial for increasing vaccination coverage in pregnant women. Closer cooperation between the government and OBGYN academic societies to educate OBGYN doctors might enhance routine recommendations.

scholarly journals IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

2021 ◽  
Vol 11 (8) ◽  
pp. 3495
Author(s):  
Shabir Hussain ◽  
Yang Yu ◽  
Muhammad Ayoub ◽  
Akmal Khan ◽  
Rukhshanda Rehman ◽  
...  
Keyword(s):  
Deep Learning ◽  
Low Cost ◽  
Face Mask ◽  
World Health ◽  
Rapid Screening ◽  
Screening System ◽  
Source Of Infection ◽  
The Face ◽  
Health Organization ◽  
Vaccine Distribution

The spread of COVID-19 has been taken on pandemic magnitudes and has already spread over 200 countries in a few months. In this time of emergency of COVID-19, especially when there is still a need to follow the precautions and developed vaccines are not available to all the developing countries in the first phase of vaccine distribution, the virus is spreading rapidly through direct and indirect contacts. The World Health Organization (WHO) provides the standard recommendations on preventing the spread of COVID-19 and the importance of face masks for protection from the virus. The excessive use of manual disinfection systems has also become a source of infection. That is why this research aims to design and develop a low-cost, rapid, scalable, and effective virus spread control and screening system to minimize the chances and risk of spread of COVID-19. We proposed an IoT-based Smart Screening and Disinfection Walkthrough Gate (SSDWG) for all public places entrance. The SSDWG is designed to do rapid screening, including temperature measuring using a contact-free sensor and storing the record of the suspected individual for further control and monitoring. Our proposed IoT-based screening system also implemented real-time deep learning models for face mask detection and classification. This module classified individuals who wear the face mask properly, improperly, and without a face mask using VGG-16, MobileNetV2, Inception v3, ResNet-50, and CNN using a transfer learning approach. We achieved the highest accuracy of 99.81% while using VGG-16 and the second highest accuracy of 99.6% using MobileNetV2 in the mask detection and classification module. We also implemented classification to classify the types of face masks worn by the individuals, either N-95 or surgical masks. We also compared the results of our proposed system with state-of-the-art methods, and we highly suggested that our system could be used to prevent the spread of local transmission and reduce the chances of human carriers of COVID-19.

scholarly journals Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic

2021 ◽  
Vol 13 (12) ◽  
pp. 6900
Author(s):  
Jonathan S. Talahua ◽  
Jorge Buele ◽  
P. Calvopiña ◽  
José Varela-Aldás
Keyword(s):  
Facial Recognition ◽  
Face Mask ◽  
Recognition System ◽  
Classification Model ◽  
World Health ◽  
The Face ◽  
Recognition Systems ◽  
Facial Recognition System ◽  
Health Organization ◽  
Face Detector

In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the use of a face mask as a mandatory biosafety measure. This has caused problems in current facial recognition systems, motivating the development of this research. This manuscript describes the development of a system for recognizing people, even when they are using a face mask, from photographs. A classification model based on the MobileNetV2 architecture and the OpenCv’s face detector is used. Thus, using these stages, it can be identified where the face is and it can be determined whether or not it is wearing a face mask. The FaceNet model is used as a feature extractor and a feedforward multilayer perceptron to perform facial recognition. For training the facial recognition models, a set of observations made up of 13,359 images is generated; 52.9% images with a face mask and 47.1% images without a face mask. The experimental results show that there is an accuracy of 99.65% in determining whether a person is wearing a mask or not. An accuracy of 99.52% is achieved in the facial recognition of 10 people with masks, while for facial recognition without masks, an accuracy of 99.96% is obtained.

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