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1.
Indian Journal of Community Health ; 33(2):383-385, 2021.
Article in English | Scopus | ID: covidwho-1395866

ABSTRACT

India reported highest incidence of Mucormycosis in the past and during the second wave of COVID-19. Google Trends is a potential tool for infoveillance of infectious disease like Mucormycosis. Relative Search Volume (RSV) for term Mucormycosis (+ Black fungus), diabetes, steroid, oxygen, D-dimer (+ferritin) had been extracted from Google Trends for three months (March to May 2021) and state-wise prevalence for Mucormycosis released by Ministry of Health and Family Welfare was used for the analysis. India reported highest RSV for Mucormycosis among the top five countries with COVID-19 cases. RSV peak for oxygen preceded the Mucormycosis spike. Correlation between state-wise prevalence of Mucormycosis and their corresponding RSV was not significant. While a positive correlation was observed between Mucormycosis, diabetes and steroid, it was not statistically significant. Infoveillance using Google trends can serve as a proxy marker for the public health needs and priorities much before actual field surveys. © 2021, Indian Association of Preventive and Social Medicine. All rights reserved.

2.
Current Trends in Biotechnology and Pharmacy ; 15(1):110-114, 2021.
Article in English | EMBASE | ID: covidwho-1160938

ABSTRACT

Global health diplomacy has given birth to vaccine diplomacy and later it got linked with vaccine science diplomacy which itself an amalgamation of science diplomacy. Since India is leader in vaccine manufacturing, it contributes approximately 60% of vaccines to the global vaccine supply. According to the present scenario, India is harnessing the power of soft skill by offering COVID?19 vaccines to its immediate neighbors to leverage diplomacy. Vaccine diplomacy could serve humanity and suffering countries if significant collaborations and efforts by global entities are to be done on the multilateral level.

3.
Proc. - IEEE Int. Symp. Sustain. Energy, Signal Process. Cyber Secur., iSSSC ; 2020.
Article in English | Scopus | ID: covidwho-1142840

ABSTRACT

Over the length of time, there has been an exponential increase in the number of netizens throughout the world. The surge in internet users has been especially prominent in times of the Covid-19 pandemic. Consequently, there has been a rise in social data collection from social media sites and apps. In addition to it, there is machine data generated by the sensors and other industrial and medical equipment and finally, transactional data generated from transactions performed online as well as offline. The big data collected from these principal sources provides invaluable insights to various small as well as leading organizations. Hence, these organizations and researchers direct considerable attention and efforts towards the high volume, velocity and variety (referred to as the '3V') challenges. However, due to the sheer volume of the big data, high computing power and substantial storage are needed. This feat is achieved by the use of a network of distributed systems. Since multiple systems are involved in this process, the risk of privacy breach is increased manifold. The prevention of such breaches is crucial as it may result in leakage of highly sensitive data and impose a severe threat to the privacy of individuals. The primary objective of this paper is to provide a detailed synopsis of countermeasures that can be adopted against possible data breaches at the several stages of the big data life cycle (i.e., data generation, data storage and data processing) to ensure better security of the exabytes of big data generated each day. © 2020 IEEE.

4.
2020 International Conference on Decision Aid Sciences and Application, DASA 2020 ; : 190-195, 2020.
Article in English | Scopus | ID: covidwho-1091142

ABSTRACT

In today's world, there are a lot of outdoor navigation apps for visually challenged people, but there are none that can precisely tell a user's location inside a large structure. Indoor navigation is a complex task for the visually challenged as well as for the general public, especially in large structures like malls, airports, museums, factories, etc. Present solutions and technologies are not cost-effective as well as complex. Hence, we are proposing a low-cost model that uses Augmented Reality to place virtual anchors across a structure, so a person can navigate from one location to another with the help of these anchors. The model doesn't use technologies like GPS. Machine Learning, and Artificial Intelligence but here, the anchors placed are pervasive and persistent across the indoor environment for smooth navigation. Once placed, these virtual anchors remain at their location and can be used at any time by any person registered on our app. This model can be extended for the general public in any indoor space and also can be enhanced by gamification for better user interaction and retention. This model can also be extended to collaborate with the Aarogya Setu app, which can help us identify routes that go through spaces through which covid positive patients have passed which in turn helps us avoid those routes in real-time navigation. © 2020 IEEE.

5.
International Journal of Supply and Operations Management ; 7(3):295-298, 2020.
Article in English | Scopus | ID: covidwho-1049267

ABSTRACT

The coronavirus (COVID-19) has already left its footprints over vast geography worldwide and the rest of the globe is also under a big threat to this ongoing pandemic. Its effect can be felt amongst every sector of the economic ecosystem, and one of the most severely affected components is the food sector. The impact of COVID-19 on food supply chains (FSCs), especially agriculture, has created grave concerns for food security globally. This paper presents a perspective on future FSCs and the predicted outcomes which are likely to occur post COVID-19 based on the plans, reviews of critical reports, and information made available to date. The food industry needs unprecedented safety, technology & policy-measures to shine again and to manage the supply chain operations. In this highly-connected world, technological innovations and improvisations will create more resilient and sustainable food supply chains. Further, key production and distribution challenges are also highlighted. © 2020 Kharazmi University. All rights reserved.

6.
Indian Journal of Community Health ; 32(2 Special Issue):215-224, 2020.
Article in English | Scopus | ID: covidwho-825816

ABSTRACT

Background: COVID-19, a disease caused by SARS-CoV-2 has become a public health emergency of worldwide concern. Originated in Wuhan District of China, it has spread globally at a very rapid rate causing millions of deaths worldwide. Aims and Objectives: To summarize findings from all the current literature available from different databases regarding the epidemiological, clinical characteristics, laboratory diagnosis, treatment, prevention and control of the SARS-CoV-2. This will help out the reader to have a fine gist of all the data available on SARS-CoV-2 in an effective manner. Methods: All the research literature from Jan-March 2020 and available on the following online databases: bio-Rxiv, PubMed, Google Scholar, Embase as well as CNKI and Wang Fang data were included in the review. The keywords used for data search were “coronavirus,” “nCoV,” “2019-nCoV,” and “COVID-19.” Conclusion: After undergoing extensive literature search, it can be concluded that it mainly effects elderly male population. Mode of transmission is droplet transmission and human to human transmission is present. The main diagnostic modality remains molecular assays though several rapid testing methods are on the way. Due to lack of specific treatment guidelines, Infection control and supportive treatment remain the mainstay. Plethora of experiments are under trails for development of effective vaccine which can be a ray of hope in future. © 2020, Indian Association of Preventive and Social Medicine. All rights reserved.

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