Satyartha Prakash's research while affiliated with Institute of Genomics and Integrative Biology and other places

Publications (12)

Article
Full-text available
Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the vaccine effectiveness. Asymptomatic breakthrough infections have been a major problem in assessing vaccine effectiveness in populations globally. Serological discrimination of vaccine resp...
Article
Full-text available
Wireless communication networks have much data to sense, process, and transmit. It tends to develop a security mechanism to care for these needs for such modern-day systems. An intrusion detection system (IDS) is a solution that has recently gained the researcher's attention with the application of deep learning techniques in IDS. In this paper, we...
Article
Full-text available
Immunization is expected to confer protection against infection and severe disease for vaccines while reducing risks to unimmunized populations by inhibiting transmission. Here, based on serial serological studies of an observational cohort of healthcare workers, we show that during a Severe Acute Respiratory Syndrome -Coronavirus 2 Delta-variant o...
Article
Full-text available
Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the effectiveness of interventions. Asymptomatic breakthrough infections have been a major problem during the ongoing surge of Delta variant globally. Serological discrimination of vaccine res...
Preprint
Full-text available
Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the effectiveness of interventions. Asymptomatic breakthrough infections have been a major problem during the ongoing surge of Delta variant globally. Serological discrimination of vaccine res...
Article
Full-text available
SARS-CoV2 pandemic exposed the limitations of artificial intelligence based medical imaging systems. Earlier in the pandemic, the absence of sufficient training data prevented effective deep learning (DL) solutions for the diagnosis of COVID-19 based on X-Ray data. Here, addressing the lacunae in existing literature and algorithms with the paucity...
Preprint
Immunization is expected to confer protection against infection and severe disease for vaccinees, while reducing risks to unimmunized populations by inhibiting transmission. Here, based on serial serological studies, we show that during a severe SARS-CoV2 Delta-variant outbreak in Delhi, 25.3% (95% CI 16.9-35.2) of previously uninfected, ChAdOx1-nC...
Article
Full-text available
To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India) conducted a serosurvey across its constituent laboratories and centers across India. Of 10,427 volunteers, 1058 (10.14%) tested positive for SARS-CoV2 anti-nucleocapsid (anti-NC) antibodies, 95% of which had surrogate neutr...
Article
Full-text available
To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India), conducted a sero-survey across its constituent laboratories and centers across India. Of 10,427 volunteers, 1058 (10.14%) tested positive for SARS CoV2 anti-nucleocapsid (anti-NC) antibodies; 95% of which had surrogate neu...
Preprint
Full-text available
The Oxford-Astra Zeneca COVID 19 vaccine (AZD1222 or ChAdOx1) is an important part of the global vaccine roll-out against SARS-CoV-2, and a locally manufactured version (Covishield by Serum Institute, Pune, India) is the most commonly used vaccine in India. The vaccination program started in January 2021 and here we report effectiveness of the firs...
Preprint
Full-text available
To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India), conducted a sero-survey across its constituent laboratories and centers across India. Of 10,427 volunteers, 1058 (10.14%) tested positive for SARS CoV2 anti-nucleocapsid (anti-NC) antibodies; 95% with surrogate neutralizat...
Preprint
Full-text available
The coronavirus disease of 2019 (COVID-19) pandemic exposed a limitation of artificial intelligence (AI) based medical image interpretation systems. Early in the pandemic, when need was greatest, the absence of sufficient training data prevented effective deep learning (DL) solutions. Even now, there is a need for Chest-X-ray (CxR) screening tools...

Citations

... Deep learning is a subset of machine learning algorithms which has been applied for intrusion detection using WSNs Lee et al., 2021;Singh, Amutha, Nagar, Sharma, & Lee, 2022a, 2022bSood, Prakash, Sharma, Singh, & Choubey, 2022). It is also employed for pattern matching and network security where it identifies the malicious activities occurring in the network and is termed as Network Intrusion Detection System (NIDS). ...
... To develop and validate our method, we used the serosurvey data from the CSIR Cohort, a longitudinal cohort that was developed to assess the disease burden across India and to ascertain the stability of antibodies during post-infection/vaccination [15,21,35]. Population-based cohorts could help to determine confident estimates of vaccine effectiveness with a heterogenous accommodation of larger geographical regions. ...
... While the initiative has been successful and leveraged globally, the continuously evolving nature of the pandemic and the increasing quantity of available CXR data from multinational cohorts has led to a growing demand for ever-improving computer-aided diagnostic solutions as part of the initiative. Since the launch of the COVID-Net open source initiative, there have been many studies in the area of COVID-19 case detection using CXR images (22)(23)(24)(25)(26)(27)(28)(29) emphasizing appropriate data curation and training regimes (30)(31)(32), with many leveraging the open access datasets and open source deep neural networks made publicly available through this initiative (33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49). ...
... A national scale study of over 10,000 participants assessed the spread of infection in India from August to September 2020 [36]. Results revealed that those using public transport were almost twice as likely to have antibodies to SARS-CoV-2 compared to those using private transport (OR 1.79; 95% CI: 1.4-2.2). ...