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1.
NeuroQuantology ; 20(15):1620-1628, 2022.
Article in English | EMBASE | ID: covidwho-2111161

ABSTRACT

The coronavirus disease 2019 (COVID19) which spread across the world from 2019 has made large number of mortality and health issues to the world population. Many studies suggests that the virus impacts adversely on people with existing health issues. In this metanalysis and systematic review, the impact of covid 19 on parturition and neonates in India is done by assessing selected maternal factors and neonatal parameters. Method(s): Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) for Systematic Reviews and Meta-Analysis guidelines were applied for this systematic review and meta-analysis. Databases including PubMed, Web science and Science Direct, were searched from Nov 2019 to June 2022. Finding(s): 8 studies were selected after applying inclusion criteria with adequate data. This study analyzed the mode of parturition and found out that covid positive mothers are 4.131 times more likely to give birth through C section. The NICU admission and preterm birth of neonates is also positively correlated with covid positive mothers. Conclusion(s): The coronavirus disease 2019 (COVID19) is having impact on pregnancy by tending to have more C-section delivery and increased preterm birth along with increased NICU admission for Indian population. Copyright © 2022, Anka Publishers. All rights reserved.

2.
2021 International Conference on Research in Sciences, Engineering and Technology, ICRSET 2021 ; 2418, 2022.
Article in English | Scopus | ID: covidwho-1900743

ABSTRACT

Social distancing has been proven as an effective measure against the spread of the infectious Coronavirus disease (COVID-19). However, individuals are not used to tracking the required 2M distance between themselves and their surroundings. The main aim of the proposed system presents an implementation of smart social distance detector using AT mega 328. In the era of COVID - 19in.which everywhere there is a panic like situation and according to the World Health Organisation social distancing to be the only solution. The innovative method is proposing to track the distance between humans in an outdoor environment based on sensors. In these COVID - 19 environment where everyone is conscious about their safety. We came up with the idea of a smart device. Most of the time, people on the roadside will not much concentrate on what is going around them. The proposed system will give alert to the person if someone is nearer to him. This method is reasonably accurate and helps in maintaining social distancing. Our main idea is to develop a device to provide people with a living environment with safety and environment protection and intelligence. We introduced a technology which will prove to be beneficial and safe for the people. © 2022 Author(s).

3.
2021 International Conference on Research in Sciences, Engineering and Technology, ICRSET 2021 ; 2418, 2022.
Article in English | Scopus | ID: covidwho-1900742

ABSTRACT

The major problem, nowadays is the novel coronavirus or covid-19 pandemic which has and still infecting people and causing the death of many around the world. Although strict and severe actions have been taken by the government of all over the world to control and minimize the spread of this virus by lockdown, suspending, all travel and sport activity, economic and social activity, quarantines, travel restriction at stations and airport, etc, many of the people around the world have lost their lives and many are suffering. Recently, a conducted study has reported that in China the number of cases that were not documented is 79% as they show no symptom of the virus. In many other countries, the real representation of the patient infected by the virus was different from the real number which was higher in number. Hence, patients with asymptomatic conditions are the major reason for the fast and large covid-19 spread and are also the major reason that caused the people too afraid of the situation. To contribute this global pandemic, in this paper, we propose an investigation which is IoT based system designed to detect both symptomatic-asymptomatic infected people, undocumented, and the place of the pandemic. The aim is to make the authority and people aware of the situation by providing the total numbers of the cases registered, totally recovered, and death of the people caused by the pandemic. In the proposed system, we have used the IoT (internet of things) technology with the NODEMCU-ESP8266, LCD, and Wi- Fi connection to provide information of the important numbers of the patients of covid: cases, recovery, and death of the people in India. This system may keep people more informative, protected, and aware of the danger of the virus so they can take care of themselves and their families in every possible way. © 2022 Author(s).

4.
11th International Advanced Computing Conference, IACC 2021 ; 1528 CCIS:3-10, 2022.
Article in English | Scopus | ID: covidwho-1718571

ABSTRACT

Spread of “COVID” has taken over life of several people all around the world. In initial stages, it was gradually affecting the humans and as days goes on it started to drastically affect several people. This is because it spreads from one person to others easily. In this pandemic situation, in order to manage this pandemic situation, we must know the rate at which the infection gets spread and the analysis can be done with the pervious confirmed and death cases with the help of data sets available in web resources. ARIMA (Auto Regressive Integrated Moving Average) model can be used in forecasting the spread of COVID with the previous data sets extracted from Kaggle. Here have considered the data from March 2020 to June 2021 and predicted the COVID cases for the next one month July 2021. In specific, it has concentrated towards one particular state Tamilnadu from INDIA. © 2022, Springer Nature Switzerland AG.

5.
Frontiers in Marine Science ; 2021.
Article in English | ProQuest Central | ID: covidwho-1523712

ABSTRACT

The moored buoy network in Indian Ocean revolutionized the observational programs with systematic time series measurement of in-situ data sets from remote marine locations. The real time meteorological and oceanographic data sets significantly improved the weather forecast and warning services particularly during extreme events since its inception in 1997. The sustenance of the network requires persistent efforts to overcome the multitude of challenges such as vandalism, bio-fouling, rough weather, corrosion, ship time availability, telemetry issues etc. Besides these, the COVID-19 pandemic constrained the normal functioning of activities, mainly by delaying the maintenance of the network that resulted in losing a few expensive buoy system components and precious data sets. However, the improvements in the buoy system, in-house developed data acquisition system and efforts in ensuring the quality of measurements together with ‘best practice methods’ enabled 73 % of the buoy network to be functional even when the cruises were reduced to 33 % during the Covid lockdown in 2020. The moored buoys equipped with Indian buoy data acquisition system triggered high frequency transmission during the Super cyclone Amphan in May 2020, which greatly helped the cyclone early warning services during the Covid pandemic. The Covid lockdown point towards the reliability and enhanced utility of moored buoy observations particularly when other modes of measurements are limited and also necessitates more such platforms to better predict the weather systems. The present study analyses the enhancement of the buoy program and improvisation of the buoy system that extended the lifetime beyond the stipulated duration and enabled the high frequency data transmission during cyclones amid the Covid lockdown. The recommendations to better manage the remote platforms specifically in the event of a pandemic based on the operational experience of more than two decades is also presented.

6.
3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021 ; : 958-962, 2021.
Article in English | Scopus | ID: covidwho-1476055

ABSTRACT

Covid-19 virus has changed the total life style of human beings. This coivd-19 started in the country china and spread all over the world. World health organization (WHO) suggested the face masks to be covered which can reduce the spread of corona virus. All countries made it compulsory to wear masks to cut-off the covid spread. Hence detection of wearing masks or not has become an important area to work on for computer vision. Many woks are being done on face mask detection, but mostly basis on the classification of mask and no-mask. Here in this paper. a novel approach is proposed which not only classifies mask and no-mask people, but also identifies whether a mask is properly covered or not. Thus in this paper use of R-CNN (Convolution Neural Network) is proposed which results to achieve an accuracy up to 0.93. © 2021 IEEE.

7.
Bali Journal of Anesthesiology ; 4(6):S31-S35, 2020.
Article in English | Scopus | ID: covidwho-1471077

ABSTRACT

Currently, COVID-19 is spreading rapidly and presenting with different clinical features with different mortality rates worldwide. In the initial days of the pandemic, most of the patients presented with the complaints of lower respiratory tract infection of varying severity, and most of the deaths were also attributable to respiratory failure. As time progressed, more atypical presentations and causes of mortality were encountered according to different age groups. In the present scenario, a surge of COVID-19 cases is expected. Those new cases will also include patients with various problems requiring surgical interventions. In this brief review, we have discussed various presentations and mortality risks of COVID-19 infections in different age groups. We did literature searched on the PubMed database and included studies published in 2019 and 2020. Altogether, 503 articles were retrieved out of which 31 were analyzed to put up this summary. Important atypical findings in neonates and infants were axial hypotonia, drowsiness, moaning sound, intussusception, and late-onset neonatal sepsis with the cause of death being multi-organ failure. Frequently reported comorbidities among children were hydronephrosis, leukemia, and intussusception. Observed risk factors for unfavorable outcome in the adult population were obesity, HIV, tuberculosis, and the intake of immunosuppressive agents in the form of anticancer drugs and steroids. The factors adding to the vulnerability in the elderly population could be enumerated as diabetes, hypertension, ischemic heart diseases, obesity, and cancers. © 2020 Bali Journal of Anesthesiology ;Published by Wolters Kluwer-Medknow.

8.
Lecture Notes in Networks and Systems ; 201:635-646, 2021.
Article in English | Scopus | ID: covidwho-1283769

ABSTRACT

In the pandemic situations, the physicians will never have the direct contact with the patients. Hence, a remote health management device is developed in this paper using ESP32 and ThingSpeak cloud application. If a person is suspected of having COVID-19, he has to contact primary health centre of his nearest place where the developed device is already been located. The person has to place the above device in contact with his body to measure temperature, heartbeat, oxygen level and cough. The same device will have the feature to measure room temperature and humidity. Various sensors are used to detect the above parameters. The sensed values will be taken up by ESP32. The data from ESP32 is stored in cloud through ThingSpeak application. The physician can take over the details from cloud and diagnose whether the person is suffering from COVID-19 or not. In this paper, the diagnostic information followed by the physician is the body temperature which is >37.8 °C, heartbeat is >100, oxygen level is <95 and vibration of cough (dry or wet) is >116 db. If these measures are satisfied then the buzzer sounds which alerts the consulting physician. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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