K Gayathri
Biographic Data
| ID | 8358218 |
|---|---|
| NAME | K Gayathri |
| GIVEN NAMES | K |
| FAMILY NAME | Gayathri |
| SIGNATURE | GAYATHRI K |
| AFFILIATIONS | National Institute of Epidemiology |
| ORCID | 0009-0000-0398-9406 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Sustained reduction in program-reported TB death rate in six districts following Tamil Nadu Kasanoi Erappila Thittam in southern India
(TN-KET) is India's first statewide and state-specific differentiated TB care initiative to reduce TB deaths. Under TN-KET, starting April 2022, adults with TB were triaged for severe illness at diagnosis, and those with very severe undernutrition or respiratory insufficiency or poor performance status (anyone) were prioritized for comprehensive clinical assessment and inpatient care. Following TN-KET, we report sustained TB death rate reduction …
Crop pest identification using deep network based extracted features and MobileENet in smart agriculture
Agriculture has been considered an important source of food for humans throughout history. Plant pests cause significant damage to crops and reduce the productivity of global crop yields. Therefore, it is important to identify the plant pest at an earlier stage in order to minimize crop losses and use pesticides optimally. This paper develops the MobileENet deep learning architecture for accurate plant pest identification with less computational …
Eleven tips for operational researchers working with health programmes
Due to the workload and lack of a critical mass of trained operational researchers within their ranks, health systems and programmes may not be able to dedicate sufficient time to conducting operational research (OR). Hence, they may need the technical support of operational researchers from research/academic organisations. Additionally, there is a knowledge gap regarding implementing differentiated tuberculosis (TB) care in programme settings. I…
No prominent works on this page.
Eleven tips for operational researchers working with health programmes
Due to the workload and lack of a critical mass of trained operational researchers within their ranks, health systems and programmes may not be able to dedicate sufficient time to conducting operational research (OR). Hence, they may need the technical support of operational researchers from research/academic organisations. Additionally, there is a knowledge gap regarding implementing differentiated tuberculosis (TB) care in programme settings. I…
Crop pest identification using deep network based extracted features and MobileENet in smart agriculture
Agriculture has been considered an important source of food for humans throughout history. Plant pests cause significant damage to crops and reduce the productivity of global crop yields. Therefore, it is important to identify the plant pest at an earlier stage in order to minimize crop losses and use pesticides optimally. This paper develops the MobileENet deep learning architecture for accurate plant pest identification with less computational …
Sustained reduction in program-reported TB death rate in six districts following Tamil Nadu Kasanoi Erappila Thittam in southern India
(TN-KET) is India's first statewide and state-specific differentiated TB care initiative to reduce TB deaths. Under TN-KET, starting April 2022, adults with TB were triaged for severe illness at diagnosis, and those with very severe undernutrition or respiratory insufficiency or poor performance status (anyone) were prioritized for comprehensive clinical assessment and inpatient care. Following TN-KET, we report sustained TB death rate reduction …
Advanced Chemical Sensor Technologies (1 work) · Agriculture (1 work) · Agroforestry (1 work) · Agronomy (1 work) · Archaeology (1 work) · Biology (1 work) · Botany (1 work) · Business (1 work) · Cause of death (1 work) · Cohort (1 work)