Nita Madhav
Biographic Data
| ID | 9798989 |
|---|---|
| NAME | Nita Madhav |
| GIVEN NAMES | Nita |
| FAMILY NAME | Madhav |
| SIGNATURE | MADHAV N |
| AFFILIATIONS | Metabiota (United States) |
| ORCID | 0000-0001-8077-330X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Historical trends demonstrate a pattern of increasingly frequent and severe spillover events of high-consequence zoonotic viruses
The COVID-19 pandemic has focused attention on patterns of infectious disease spillover. Climate and land-use changes are predicted to increase the frequency of zoonotic spillover events, which have been the cause of most modern epidemics. Characterising historical trends in zoonotic spillover can provide insights into the expected frequency and severity of future epidemics, but historical epidemiological data remains largely fragmented and diffi…
Challenges in reported Covid-19 data
The proliferation of composite data sources tracking the COVID-19 pandemic emphasises the need for such databases during large-scale infectious disease events as well as the potential pitfalls due to the challenges of combining disparate data sources. Multiple organisations have attempted to standardise the compilation of disparate data from multiple sources during the COVID-19 pandemic. However, each composite data source can use a different app…
No prominent works on this page.
Challenges in reported Covid-19 data
The proliferation of composite data sources tracking the COVID-19 pandemic emphasises the need for such databases during large-scale infectious disease events as well as the potential pitfalls due to the challenges of combining disparate data sources. Multiple organisations have attempted to standardise the compilation of disparate data from multiple sources during the COVID-19 pandemic. However, each composite data source can use a different app…
Historical trends demonstrate a pattern of increasingly frequent and severe spillover events of high-consequence zoonotic viruses
The COVID-19 pandemic has focused attention on patterns of infectious disease spillover. Climate and land-use changes are predicted to increase the frequency of zoonotic spillover events, which have been the cause of most modern epidemics. Characterising historical trends in zoonotic spillover can provide insights into the expected frequency and severity of future epidemics, but historical epidemiological data remains largely fragmented and diffi…
COVID-19 epidemiological studies (2 works) · Environmental health (2 works) · Medicine (2 works) · Outbreak (2 works) · Pandemic (2 works) · Public health (2 works) · Virology (2 works) · 2019-20 coronavirus outbreak (1 work) · Animal Disease Management and Epidemiology (1 work) · Betacoronavirus (1 work)