Maria Peppa
Biographic Data
| ID | 7798800 |
|---|---|
| NAME | Maria Peppa |
| GIVEN NAMES | Maria |
| FAMILY NAME | Peppa |
| SIGNATURE | PEPPA M |
| AFFILIATIONS | University of Liverpool |
| ORCID | 0000-0002-4181-0638 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
UK prevalence of underlying conditions which increase the risk of severe Covid-19 disease
The population at risk of severe COVID-19 (defined as either aged ≥70 years, or younger with an underlying health condition) comprises 18.5 million individuals in the UK, including a considerable proportion of school-aged and working-aged individuals. Our national estimates broadly support the use of Global Burden of Disease modelled estimates in other countries. We provide age- and region- stratified prevalence for each condition to support effe…
Eutrophication Monitoring for Lake Pamvotis, Greece, Using Sentinel-2 Data
The use of remote sensing to monitor inland waters and their current state is of high importance, as fresh waters are the habitat of many species of flora and fauna, and are also important for anthropogenic activities. Water quality can be monitored by many parameters, including dissolved suspended matter, phytoplankton, turbidity, and dissolved organic matter, while the concentration of chlorophyll-a (chl-a) is a representative indicator for det…
No prominent works on this page.
Eutrophication Monitoring for Lake Pamvotis, Greece, Using Sentinel-2 Data
The use of remote sensing to monitor inland waters and their current state is of high importance, as fresh waters are the habitat of many species of flora and fauna, and are also important for anthropogenic activities. Water quality can be monitored by many parameters, including dissolved suspended matter, phytoplankton, turbidity, and dissolved organic matter, while the concentration of chlorophyll-a (chl-a) is a representative indicator for det…
UK prevalence of underlying conditions which increase the risk of severe Covid-19 disease
The population at risk of severe COVID-19 (defined as either aged ≥70 years, or younger with an underlying health condition) comprises 18.5 million individuals in the UK, including a considerable proportion of school-aged and working-aged individuals. Our national estimates broadly support the use of Global Burden of Disease modelled estimates in other countries. We provide age- and region- stratified prevalence for each condition to support effe…
Aquatic Ecosystems and Phytoplankton Dynamics (1 works) · Biology (1 works) · Chemistry (1 works) · Chlorophyll a (1 works) · COVID-19 and healthcare impacts (1 works) · COVID-19 Impact on Reproduction (1 works) · Demography (1 works) · Demography (1 works) · Disease (1 works) · Ecology (1 works)