Gayadhar Mallick
Biographic Data
| ID | 9000951 |
|---|---|
| NAME | Gayadhar Mallick |
| GIVEN NAMES | Gayadhar |
| FAMILY NAME | Mallick |
| SIGNATURE | MALLICK G |
| AFFILIATIONS | World Health Organization Regional Office for South-East Asia |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Active versus passive case finding for tuberculosis in marginalised and vulnerable populations in India
We did not find significant differences in the treatment outcomes. Due to the wide CIs, studies with larger sample sizes are urgently required. Studies are required to understand how to translate the benefits of ACF to improved treatment outcomes
Active case finding among marginalised and vulnerable populations reduces catastrophic costs due to tuberculosis diagnosis
BACKGROUND: There is limited evidence on whether active case finding (ACF) among marginalised and vulnerable populations mitigates the financial burden during tuberculosis (TB) diagnosis. OBJECTIVES: To determine the effect of ACF among marginalised and vulnerable populations on prevalence and inequity of catastrophic costs due to TB diagnosis among TB-affected households when compared with passive case finding (PCF). METHODS: In 18 randomly samp…
No prominent works on this page.
Active case finding among marginalised and vulnerable populations reduces catastrophic costs due to tuberculosis diagnosis
BACKGROUND: There is limited evidence on whether active case finding (ACF) among marginalised and vulnerable populations mitigates the financial burden during tuberculosis (TB) diagnosis. OBJECTIVES: To determine the effect of ACF among marginalised and vulnerable populations on prevalence and inequity of catastrophic costs due to TB diagnosis among TB-affected households when compared with passive case finding (PCF). METHODS: In 18 randomly samp…
Active versus passive case finding for tuberculosis in marginalised and vulnerable populations in India
We did not find significant differences in the treatment outcomes. Due to the wide CIs, studies with larger sample sizes are urgently required. Studies are required to understand how to translate the benefits of ACF to improved treatment outcomes
Demography (2 works) · Medicine (2 works) · Pathology (2 works) · Pneumonia and Respiratory Infections (2 works) · Residence (2 works) · Tuberculosis (2 works) · Tuberculosis Research and Epidemiology (2 works) · Cohort (1 works) · Cohort study (1 works) · Confounding (1 works)