A5050488765- Asian Geopolitics and Ethnography
- COVID-19 Clinical Research Studies
- Mobile Health and mHealth Applications
- Long-Term Effects of COVID-19
- Korean Peninsula Historical and Political Studies
- Cambodian History and Society
- Advanced Neural Network Applications
- COVID-19 Digital Contact Tracing
- Advanced Image and Video Retrieval Techniques
- SARS-CoV-2 and COVID-19 Research
- Child Nutrition and Water Access
- South Asian Studies and Diaspora
- Digital Mental Health Interventions
- Advanced Data Storage Technologies
- Travel-related health issues
- COVID-19 epidemiological studies
- Multimodal Machine Learning Applications
- Intensive Care Unit Cognitive Disorders
- Transportation Planning and Optimization
- Migration, Health and Trauma
- Firm Innovation and Growth
- Generative Adversarial Networks and Image Synthesis
- Technology Use by Older Adults
- Auction Theory and Applications
- Climate Change and Health Impacts
University of North Carolina at Chapel Hill
2021-2025
London Business School
2023-2024
Sawai ManSingh Medical College and Hospital
2024
Harvard University
2018-2023
University of Delaware
2023
Harcourt Butler Technical University
2023
Health Net
2021-2022
Manipal University Jaipur
2021
Weatherford College
2021
Indian Institute of Technology Kanpur
2021
Post-acute sequelae of SARS-CoV-2 infection, known as long COVID, have severely affected recovery from the COVID-19 pandemic for patients and society alike. Long COVID is characterised by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous definition. Studies electronic health records are a crucial element US National Institutes Health's RECOVER Initiative, which addressing urgent need understand identify treatments, accurately who has it-the latter aim this study.
Abstract Background Naming a newly discovered disease is difficult process; in the context of COVID-19 pandemic and existence post-acute sequelae SARS-CoV-2 infection (PASC), which includes long COVID, it has proven especially challenging. Disease definitions assignment diagnosis code are often asynchronous iterative. The clinical definition our understanding underlying mechanisms COVID still flux, deployment an ICD-10-CM for USA took nearly 2 years after patients had begun to describe their...
Background Nirmatrelvir with ritonavir (Paxlovid) is indicated for patients Coronavirus Disease 2019 (COVID-19) who are at risk progression to severe disease due the presence of one or more factors. Millions treatment courses have been prescribed in United States alone. Paxlovid was highly effective preventing hospitalization and death clinical trials. Several studies found a protective association real-world data, but they variously used less recent study periods, correlational methods,...
Naming a newly discovered disease is difficult process; in the context of COVID-19 pandemic and existence post-acute sequelae SARS-CoV-2 infection (PASC), which includes Long COVID, it has proven especially challenging. Disease definitions assignment diagnosis code are often asynchronous iterative. The clinical definition our understanding underlying mechanisms COVID still flux, deployment an ICD-10-CM for US took nearly two years after patients had begun to describe their condition. Here we...
Mobile health (mHealth) and related digital interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments philanthropic foundations. The implementation of tools has suffered from 2 limitations: (1) commonly ignore “law amplification” that states technology is most likely to succeed when it seeks augment alter human behavior; (2) end-user needs clinical gaps are often poorly understood while designing solutions, contributing a...
This study leverages electronic health record data in the National COVID Cohort Collaborative's (N3C) repository to investigate disparities Paxlovid treatment and emulate a target trial assessing its effectiveness reducing COVID-19 hospitalization rates. From an eligible population of 632,822 patients seen at 33 clinical sites across United States between December 23, 2021 31, 2022, were matched observed groups, yielding analytical sample 410,642 patients. We estimate 65% reduced odds among...
Preventing and treating post-acute sequelae of SARS-CoV-2 infection (PASC), commonly known as Long COVID, has become a public health priority. In this study, we examined whether treatment with Paxlovid in the acute phase COVID-19 helps prevent onset PASC. We used electronic records from National Covid Cohort Collaborative (N3C) to define cohort 426,352 patients who had since April 1, 2022, were eligible for due risk progression severe COVID-19. target trial emulation (TTE) framework estimate...
We propose a semantically-aware novel paradigm to perform image extrapolation that enables the addition of new object instances. All previous methods are limited in their capability merely extending already existing objects image. However, our proposed approach focuses not only on (i) present but also (ii) adding extended region based context. To this end, for given image, we first obtain an segmentation map using state-of-the-art semantic method. The, thus, obtained is fed into network...
In the wake of COVID-19 pandemic, digital health tools have been deployed by governments around world to advance clinical and population objectives. Few interventions successful or achieved sustainability scale. India, government agencies are proposing sweeping changes India's architecture. Underpinning these initiatives is assumption that mobile solutions will find near universal acceptance uptake, though observed reticence clinicians use electronic records suggests otherwise. this practice...
Everyone in today's society works nonstop to better their families' lives and fulfill needs. So, keeping child healthy safe during this process equates a never-ending battle. Hiring babysitter could be one solution, but they cannot trusted blindly, especially when the baby is taken for walk. What if someone tries take away? Even slightest inattention can have severe consequences on baby's safety. According Women Child Development Ministry's website, goes missing every 10 minutes India....
mHealth (mobile health) systems have been deployed widely in low- and middle-income countries (LMICs) for health system strengthening, requiring considerable resource allocation. However, most solutions not achieved scale or sustainability. Poor usability failure to address perceived needs are among the principal reasons fail achieve acceptance adoption by care workers. A human-centered design approach improving use requires an exploration of users' perceptions systems, including...
ABSTRACT Background In 2021, we used the National COVID Cohort Collaborative (N3C) as part of NIH RECOVER Initiative to develop a machine learning (ML) pipeline identify patients with high probability having post-acute sequelae SARS-CoV-2 infection (PASC), or Long COVID. However, increased home testing, missing documentation, and reinfections that characterize latter years pandemic necessitate reengineering our original model account for these changes in COVID-19 research landscape. Methods...
Abstract Purpose Opinions continuously evolve in society. While conservative ideas may get replaced by a new one, some views remain immutable. Opinion formation and innovation diffusion have witnessed lots of attention the last decade due to its widespread applicability diverse domain science technology. We analyse these scenarios which interactions at micro level results changes opinions macro population predefined ideological groups. Methods use Bass model, otherwise well known for...
As communities worldwide shift from consuming traditional diets to more processed snacks and sugar-sweetened beverages (SSBs), increases in child obesity tooth decay persistence of undernutrition are particularly apparent Latin American countries. Further evidence shared risk factors between poor oral health outcomes is needed structure effective interventions for children’s nutrition. This study aims identify dietary, health, sociodemographic severe early childhood caries (sECC) among a...
Evacuation is a complex social phenomenon with individuals tending to exit confined space as soon possible. Social factors that influence an individual include collision avoidance and conformity others respect the tendency exit. While has been heavily focused on by agent-based models used frequently simulate evacuation scenarios, these typically assume all agents have equal desire scene in given situation. It more likely that, out of those who are exiting, some patient while seek Here, we...
This study empirically investigates the usage of a customized discrete firefly algorithm (DFA) for ordering disk requests to minimize total access time. The procedure simulates movement each within population towards others using variation edge-based mutation. was applied randomized standard sequences with varying length input requests. Owing greater impact seek time in determination having sizable number tracks, this has been taken as primary performance factor scheduling tasks. analysis...
BackgroundThe Rohingya people of Myanmar have been subject to government-sponsored discrimination, detention, violence, and torture, causing several waves a mass exodus Bangladesh. Since August 2017, when the latest wave migration began, there has rapid expansion refugee camps in Cox’s Bazar, Bangladesh, with now accommodating approximately 335,000 new refugees. In this rapidly changing scenario, assessing needs host communities Bazar is critical for prioritizing resource allocation. We...
In this paper, we proposed two different path-length algorithms and routing-tag algorithm for fault-tolerant hybrid irregular multi-stage interconnection networks (MINs) called as Hybrid Zeta Networks-2 (HZTN) [1,2,3]. HZTN, 50% of requests are accepted at minimum 2 in contrast with the regular Augmented Shuffle-Exchange Network (ASEN) [4], Extra-stage Cube (ESC) [5], Baseline (ABN) [6], Benes (BN) [7]. They all having constant path length on routes, which makes delay encountered to same...
Routing is a critical issue in the Delay Tolerant Network as finding most optimized path, with minimum loss of data and shortest span time challenge. Various researchers have proposed different strategies for detection effective efficient path.In this paper we apply meta-heuristic method ant colony optimization (ACO) to propose routing mechanism Networks find path maximum throughput. Modifications been carried out ACO incorporate characteristics another technique known particle swarm...