Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ritwik Bhaduri"'
Autor:
Deblina Raychaudhuri, PhD, Purbita Bandopadhyay, MS, Ranit D’Rozario, MS, Jafar Sarif, MS, Yogiraj Ray, MBBS, MD, DM, Shekhar Ranjan Paul, MBBS, DTCD, Praveen Singh, MS, Kausik Chaudhuri, MBBS, MD, Ritwik Bhaduri, MS, Rajesh Pandey, PhD, Prasun Bhattacharya, MBBS, MD, Shantanu Sengupta, PhD, Shilpak Chatterjee, PhD, Dipyaman Ganguly, MBBS, PhD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 6, Iss 6, Pp 511-524 (2022)
Objective: To assess the clinical and immunological benefits of passive immunization using convalescent plasma therapy (CPT). Materials and Methods: A series of subclass analyses were performed on the previously published outcome data and accompanyin
Externí odkaz:
https://doaj.org/article/af9284b1cb1d4519a88207c575eeef40
Autor:
Yogiraj Ray, Shekhar Ranjan Paul, Purbita Bandopadhyay, Ranit D’Rozario, Jafar Sarif, Deblina Raychaudhuri, Debaleena Bhowmik, Abhishake Lahiri, Janani Srinivasa Vasudevan, Ranjeet Maurya, Akshay Kanakan, Sachin Sharma, Manish Kumar, Praveen Singh, Rammohan Roy, Kausik Chaudhury, Rajsekhar Maiti, Saugata Bagchi, Ayan Maiti, Md. Masoom Perwez, Abhinandan Mondal, Avinash Tewari, Samik Mandal, Arpan Roy, Moumita Saha, Durba Biswas, Chikam Maiti, Ritwik Bhaduri, Sayantan Chakraborty, Biswanath Sharma Sarkar, Anima Haldar, Bibhuti Saha, Shantanu Sengupta, Rajesh Pandey, Shilpak Chatterjee, Prasun Bhattacharya, Sandip Paul, Dipyaman Ganguly
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Convalescent plasma therapy (CPT) is used to treat patients with Covid-19, but evidence for clinical benefit from clinical trials is divergent. Here the authors report in that CPT treatment does not affect mortality in patients with severe Covid-19 i
Externí odkaz:
https://doaj.org/article/61648fce8f2446988f7b6be76f0a7960
Autor:
Soumik Purkayastha, Ritoban Kundu, Ritwik Bhaduri, Daniel Barker, Michael Kleinsasser, Debashree Ray, Bhramar Mukherjee
Publikováno v:
BMC Research Notes, Vol 14, Iss 1, Pp 1-7 (2021)
Abstract Objective There has been much discussion and debate around the underreporting of COVID-19 infections and deaths in India. In this short report we first estimate the underreporting factor for infections from publicly available data released b
Externí odkaz:
https://doaj.org/article/99a475ad806443d8abf5a7ff3128b8b6
Autor:
Soumik Purkayastha, Rupam Bhattacharyya, Ritwik Bhaduri, Ritoban Kundu, Xuelin Gu, Maxwell Salvatore, Debashree Ray, Swapnil Mishra, Bhramar Mukherjee
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-23 (2021)
Abstract Background Many popular disease transmission models have helped nations respond to the COVID-19 pandemic by informing decisions about pandemic planning, resource allocation, implementation of social distancing measures, lockdowns, and other
Externí odkaz:
https://doaj.org/article/71ef43754fe24ca49fc90cdbff8149a5
Autor:
Rupam Bhattacharyya, Ritoban Kundu, Ritwik Bhaduri, Debashree Ray, Lauren J. Beesley, Maxwell Salvatore, Bhramar Mukherjee
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Susceptible-Exposed-Infected-Removed (SEIR)-type epidemiologic models, modeling unascertained infections latently, can predict unreported cases and deaths assuming perfect testing. We apply a method we developed to account for the high false
Externí odkaz:
https://doaj.org/article/6e66c701cd454551b2ea2f3c69c4e4cd
Autor:
Ranit D’Rozario, Deblina Raychaudhuri, Purbita Bandopadhyay, Jafar Sarif, Priyanka Mehta, Chinky Shiu Chen Liu, Bishnu Prasad Sinha, Jayasree Roy, Ritwik Bhaduri, Monidipa Das, Sanghamitra Bandyopadhyay, Shekhar Ranjan Paul, Shilpak Chatterjee, Rajesh Pandey, Yogiraj Ray, Dipyaman Ganguly
Publikováno v:
Viruses, Vol 15, Iss 2, p 549 (2023)
Severe COVID-19 frequently features a systemic deluge of cytokines. Circulating cytokines that can stratify risks are useful for more effective triage and management. Here, we ran a machine-learning algorithm on a dataset of 36 plasma cytokines in a
Externí odkaz:
https://doaj.org/article/8df2378f319d44c79d40291d8c5fccd9
Autor:
Rupam Bhattacharyya, Ritoban Kundu, Ritwik Bhaduri, Debashree Ray, Lauren J. Beesley, Maxwell Salvatore, Bhramar Mukherjee
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-2 (2021)
Externí odkaz:
https://doaj.org/article/4a030ebe2b6c401e94436c67a11c743c
Autor:
Ritwik Bhaduri, Ritoban Kundu, Soumik Purkayastha, Michael Kleinsasser, Lauren J. Beesley, Bhramar Mukherjee, Jyotishka Datta
Publikováno v:
Statistics in Medicine. 41:2317-2337
False negative rates of severe acute respiratory coronavirus 2 diagnostic tests, together with selection bias due to prioritized testing can result in inaccurate modeling of COVID-19 transmission dynamics based on reported "case" counts. We propose a
Autor:
Bhramar Mukherjee, Debashree Ray, Gautam I. Menon, Giridhara R Babu, Aritra Halder, Ritwik Bhaduri, Ritoban Kundu
Publikováno v:
Global Health: Science and Practice
We reflect on and review India's COVID-19 pandemic response through the lens of modeling and data. The lessons learned from the Indian context may be beneficial for other countries.
Key Messages India has devised innovative strategies to reduce
Key Messages India has devised innovative strategies to reduce
Autor:
Lauren J. Beesley, Bhramar Mukherjee, Ritoban Kundu, Maxwell Salvatore, Debashree Ray, Rupam Bhattacharyya, Ritwik Bhaduri
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Susceptible-Exposed-Infected-Removed (SEIR)-type epidemiologic models, modeling unascertained infections latently, can predict unreported cases and deaths assuming perfect testing. We apply a method we developed to account for the high false negative