Tanmay Devi
Biographic Data
| ID | 7923144 |
|---|---|
| NAME | Tanmay Devi |
| GIVEN NAMES | Tanmay |
| FAMILY NAME | Devi |
| SIGNATURE | DEVI T |
| AFFILIATIONS | Flame University |
| ORCID | 0000-0001-9082-0560 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Investing in education
Blocked by Gender
Globally, a gender gap in COVID-19 has been noted with men reporting higher share of both morbidity and deaths compared to women. While the gender gap in fatalities has been similar across the globe, there have been interesting disparities in the detection of COVID-19 cases in men and women. While wealthier, more developed nations have generally seen similar case detection in men and women, LMICs especially in Asia have seen far greater proportio…
A Statistical Model of Covid-19 Infection Incidence in the Southern Indian State of Tamil Nadu
In this manuscript, we present an analysis of COVID-19 infection incidence in the Indian state of Tamil Nadu. We used seroprevalence survey data along with COVID-19 fatality reports from a six-month period (1 June 2020 to 30 November 2020) to estimate age- and sex-specific COVID-19 infection fatality rates (IFR) for Tamil Nadu. We used these IFRs to estimate new infections occurring daily using the daily COVID-19 fatality reports published by the…
Blocked by Gender
Globally, a gender gap in COVID-19 has been noted with men reporting higher share of both morbidity and deaths compared to women. While the gender gap in fatalities has been similar across the globe, there have been interesting disparities in the detection of COVID-19 cases in men and women. While wealthier, more developed nations have generally seen similar case detection in men and women, LMICs especially in Asia have seen far greater proportio…
A Statistical Model of Covid-19 Infection Incidence in the Southern Indian State of Tamil Nadu
In this manuscript, we present an analysis of COVID-19 infection incidence in the Indian state of Tamil Nadu. We used seroprevalence survey data along with COVID-19 fatality reports from a six-month period (1 June 2020 to 30 November 2020) to estimate age- and sex-specific COVID-19 infection fatality rates (IFR) for Tamil Nadu. We used these IFRs to estimate new infections occurring daily using the daily COVID-19 fatality reports published by the…
Investing in education
COVID-19 epidemiological studies (2 works) · COVID-19 Pandemic Impacts (2 works) · Demography (2 works) · Geography (2 works) · Medicine (2 works) · Political science (2 works) · Sociology (2 works) · Tamil (2 works) · 2019-20 coronavirus outbreak (1 work) · Attendance (1 work)