T Kannan
Biographic Data
| ID | 8082615 |
|---|---|
| NAME | T Kannan |
| GIVEN NAMES | T |
| FAMILY NAME | Kannan |
| SIGNATURE | KANNAN T |
| AFFILIATIONS | National Institute of Research in Tuberculosis |
| ORCID | 0000-0003-2633-8766 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Gender differences in Covid-19 knowledge, risk perception, and public stigma among the general community
Factors associated with Covid-19 stigma during the onset of the global pandemic in India
Objective: To assess factors associated with COVID-19 stigmatizing attitudes in the community and stigma experiences of COVID-19 recovered individuals during first wave of COVID-19 pandemic in India. Methods: A cross-sectional study was conducted in 18 districts located in 7 States in India during September 2020 to January 2021 among adults > 18 years of age selected through systematic random sampling. Data on socio demographic and COVID-19 knowl…
Deep integration model
Segmentation of hippocampus in Magnetic Resonance Images (MRI) is a vital process in neuro imaging studies towards analyzing and extracting the structure of hippocampus. In existing, many automatic segmentation algorithms such as region based segmentation; boundary based Segmentation has been applied to segment the Hippocampus (HC) as it produces the higher accuracy and less mean squared error. Despite several advantages, the model is time consum…
No prominent works on this page.
Factors associated with Covid-19 stigma during the onset of the global pandemic in India
Objective: To assess factors associated with COVID-19 stigmatizing attitudes in the community and stigma experiences of COVID-19 recovered individuals during first wave of COVID-19 pandemic in India. Methods: A cross-sectional study was conducted in 18 districts located in 7 States in India during September 2020 to January 2021 among adults > 18 years of age selected through systematic random sampling. Data on socio demographic and COVID-19 knowl…
Deep integration model
Segmentation of hippocampus in Magnetic Resonance Images (MRI) is a vital process in neuro imaging studies towards analyzing and extracting the structure of hippocampus. In existing, many automatic segmentation algorithms such as region based segmentation; boundary based Segmentation has been applied to segment the Hippocampus (HC) as it produces the higher accuracy and less mean squared error. Despite several advantages, the model is time consum…
Gender differences in Covid-19 knowledge, risk perception, and public stigma among the general community
Medicine (3 works) · COVID-19 and Mental Health (2 works) · Cross-sectional study (2 works) · Demography (2 works) · Environmental health (2 works) · Family medicine (2 works) · Logistic regression (2 works) · Odds (2 works) · Odds ratio (2 works) · Psychiatry (2 works)