Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sunita Dia"'
Autor:
Sudhir Bhandari, Amit Tak, Sanjay Singhal, Jyotsna Shukla, Ajit Singh Shaktawat, Jitendra Gupta, Bhoopendra Patel, Shivankan Kakkar, Amitabh Dube, Sunita Dia, Mahendra Dia, Todd C. Wehner
Publikováno v:
Frontiers in Public Health, Vol 8 (2020)
Objectives: The present study is aimed at estimating patient flow dynamic parameters and requirement for hospital beds. Second, the effects of age and gender on parameters were evaluated.Patients and Methods: In this retrospective cohort study, 987 C
Externí odkaz:
https://doaj.org/article/c72d48e6803442078d56904d96b61c3f
Autor:
Sudhir Bhandari, Ajit Singh Shaktawat, Amit Tak, Jyotsna Shukla, Bhoopendra Patel, Sanjay Singhal, Jitentdra Gupta, Shivankan Kakkar, Amitabh Dube, Sunita Dia, Mahendra Dia, Todd C. Wehner
Publikováno v:
Journal of Ideas in Health, Vol 3, Iss Special2 (2020)
Background: In the absence of any pharmaceutical interventions, the management of the COVID-19 pandemic is based on public health measures. The present study fosters evidence-based decision making by estimating various “a posteriori probability dis
Externí odkaz:
https://doaj.org/article/bb2e28881d054a14a19b45c1903c533c
Autor:
Cristiane J Gomes-Lima, Sanjita Chittimoju, Leen Wehbeh, Sunita Dia, Prathyusha Pagadala, Mohammad Al-Jundi, Sakshi Jhawar, Eshetu Tefera, Mihriye Mete, Joanna Klubo-Gwiezdzinska, Douglas Van Nostrand, Jacqueline Jonklaas, Leonard Wartofsky, Kenneth D Burman
Publikováno v:
Journal of the Endocrine Society. 7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1749f113c710c4829a140547636f3630
https://doi.org/10.1210/jendso/bvad005
https://doi.org/10.1210/jendso/bvad005
Autor:
Jitendra Gupta, Jyotsna Shukla, Ajit Singh Shaktawat, Bhoopendra Patel, Sudhir Bhandari, Sunita Dia, Amit Tak, Amitabh Dube, Shivankan Kakkar, Todd C. Wehner, Mahendra Dia
Publikováno v:
Clinical Diabetology. 10:114-122
Background. With coronavirus disease-19 (COVID-19), patients with diabetes mellitus are dealing with two pandemics and are at a higher risk of mortality. The present study was undertaken to evaluate interactions between hyperglycemia and clotting fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ceccf85318f0436935319285925e3ed
https://doi.org/10.5603/dk.a2021.0022
https://doi.org/10.5603/dk.a2021.0022
Publikováno v:
Scripta Medica, Vol 52, Iss 1, Pp 6-14 (2021)
Background: The forecasting of Coronavirus Disease-19 (COVID-19) dynamics is a centrepiece in evidence-based disease management. Numerous approaches that use mathematical modelling have been used to predict the outcome of the pandemic, including data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48dc9017aaee98d716219f306edb3ed5
https://doi.org/10.5937/scriptamed52-29893
https://doi.org/10.5937/scriptamed52-29893
Autor:
Cristiane J Gomes-Lima, Sanjita Chittimoju, Leen Wehbeh, Sunita Dia, Prathyusha Pagadala, Mohammad Al-Jundi, Sakshi Jhawar, Eshetu Tefera, Mihriye Mete, Joanna Klubo-Gwiezdzinska, Douglas Van Nostrand, Jacqueline Jonklaas, Leonard Wartofsky, Kenneth D Burman
Publikováno v:
Journal of the Endocrine Society. 6
Context Recombinant human thyrotropin (rhTSH) is currently not Food and Drug Administration approved for the treatment of high-risk patients with differentiated thyroid cancer (DTC). Objective The goal of our study was to compare the outcomes in high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff17998fe89ad36816caca6dccb06fd3
https://doi.org/10.1210/jendso/bvac032
https://doi.org/10.1210/jendso/bvac032
Autor:
Cristiane J, Gomes-Lima, Sanjita, Chittimoju, Leen, Wehbeh, Sunita, Dia, Prathyusha, Pagadala, Mohammad, Al-Jundi, Sakshi, Jhawar, Eshetu, Tefera, Mihriye, Mete, Joanna, Klubo-Gwiezdzinska, Douglas, Van Nostrand, Jacqueline, Jonklaas, Leonard, Wartofsky, Kenneth D, Burman
Publikováno v:
Journal of the Endocrine Society. 6(5)
Recombinant human thyrotropin (rhTSH) is currently not Food and Drug Administration approved for the treatment of high-risk patients with differentiated thyroid cancer (DTC).The goal of our study was to compare the outcomes in higher-risk patients wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9730a51bc86387822071380572c07a57
https://pubmed.ncbi.nlm.nih.gov/35356009
https://pubmed.ncbi.nlm.nih.gov/35356009
Autor:
Shivankan Kakkar, Jitendra Gupta, Bhoopendra Patel, Sunita Dia, Todd C. Wehner, Mahendra Dia, Sudhir Bhandari, Ajeet Singh Shaktawat, Amit Tak, Amitabh Dube, Jyotsna Shukla
Background: Since the outbreak of coronavirus disease-19 research has been continued to explore multiple facets of the disease. The objective of the present study is to evaluate the relationship between blood group phenotypes and COVID-19 susceptibil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1f8ff4931e4f9982a40b6137ab38059
https://doi.org/10.21203/rs.3.rs-39611/v2
https://doi.org/10.21203/rs.3.rs-39611/v2
Autor:
Sudhir Bhandari, Sanjay Singhal, Jitendra Gupta, Shivankan Kakkar, Amit Tak, Amitabh Dube, Todd C. Wehner, Bhoopendra Patel, Kapil Gupta, Mahendra Dia, Jyotsna Shukla, Sunita Dia, Ajeet Singh Shaktawat
Since the outbreak of coronavirus disease-19 research has been continued to explore multiple facets of the disease. The objective of the present study is to evaluate the relationship between blood group phenotypes and COVID-19 susceptibility. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dda4a2625542450c381152c0c885149
https://doi.org/10.21203/rs.3.rs-39611/v1
https://doi.org/10.21203/rs.3.rs-39611/v1
Autor:
Todd C. Wehner, Sanjay Singhal, Mahendra Dia, Bhoopendra Patel, Sudhir Bhandari, Shivankan Kakkar, Jitendra Gupta, Abhishek Saini, Sunita Dia, Jyotsna Shukla, Amit Tak, Amitabh Dube, Ajit Singh Shaktawat
The forecasting of Coronavirus Disease-19 (COVID-19) dynamics is a centerpiece in evidence based disease management. Numerous approaches that use mathematical modeling have been used to predict the outcome of the pandemic, including data driven model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27f254f0dd219b3dd4468371c396fa63
https://doi.org/10.21203/rs.3.rs-40385/v1
https://doi.org/10.21203/rs.3.rs-40385/v1