Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shalini Bhakta"'
Publikováno v:
Journal of Nobel Medical College, Vol 13, Iss 1, Pp 66-70 (2024)
Background The veins in the upper limb are classified as superficial or deep, with deep veins, such as the venae comitantes and axillary vein, coming after the major arteries. The subcutaneous tissue contains the superficial veins, which link to t
Externí odkaz:
https://doaj.org/article/d54c898cf6d4441d8fbff33059ffd083
Autor:
R. M. Nayani Umesha Rajapaksha, Millawage Supun Dilara Wijesinghe, Sujith P. Jayasooriya, Toms K. Thomas, B. M. W. Indika Gunawardana, W. M. Prasad Chathuranga Weerasinghe, Chrishantha Abeysena, Shalini Bhakta, Yibeltal Assefa Alemu
Publikováno v:
International Journal of Health Systems Resilience.
The role of modelling in predicting the spread of an epidemic is important for health planning and policies. This study aimed to apply a dynamic Susceptible-Exposed-Infected-Recovered-Deaths (SEIRD) model and simulated it under a range of epidemic co
Autor:
R. M. Nayani Umesha Rajapaksha, Millawage Supun Dilara Wijesinghe, Toms K. Thomas, Sujith P. Jayasooriya, B. M. W. Indika Gunawardana, W. M. Prasad Chathuranga Weerasinghe, Shalini Bhakta, Yibeltal Assefa
The role of modelling in predicting the spread of an epidemic is important for health planning and policies. This study aimed to apply a dynamic Susceptible-Exposed-Infected-Recovered-Deaths (SEIRD) model and simulated it under a range of epidemic co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6abb99a2f5ffd0fc5ee9a192990a7c79
https://doi.org/10.1101/2021.08.09.21261819
https://doi.org/10.1101/2021.08.09.21261819
Autor:
R. M. Nayani Umesha Rajapaksha, Millawage Supun Dilara Wijesinghe, Toms K. Thomas, Sujith P. Jayasooriya, B. M. W. Indika Gunawardana, W. M. Prasad Chathuranga Weerasinghe, Shalini Bhakta, Yibeltal Assefa
The role of modelling in predicting the spread of an epidemic is important for health planning and policies. This study aimed to apply a compartmental model for predicting the variations of epidemiological parameters in Sri Lanka. We used a dynamic S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b584c09b39df8b90dd4c77ce7d4529b4
https://doi.org/10.1101/2021.06.17.21258837
https://doi.org/10.1101/2021.06.17.21258837