Kari Auranen
Datos Biográficos
| ID | 7899900 |
|---|---|
| NOMBRE | Kari Auranen |
| NOMBRES | Kari |
| APELLIDO | Auranen |
| FIRMA | AURANEN K |
| AFILIACIONES | University of Turku |
| ORCID | 0000-0002-8162-2260 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2008 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 0 |
Impact of Selected Meteorological Factors on Covid-19 Incidence in Southern Finland during 2020–2021
We modelled the impact of selected meteorological factors on the daily number of new cases of the coronavirus disease 2019 (COVID-19) at the Hospital District of Helsinki and Uusimaa in southern Finland from August 2020 until May 2021. We applied a DLNM (distributed lag non-linear model) with and without various environmental and non-environmental confounding factors. The relationship between the daily mean temperature or absolute humidity and CO…
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
BACKGROUND: Mathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g., pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population-based prospective survey of mixing p…
Sin obras prominentes en esta página.
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
BACKGROUND: Mathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g., pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population-based prospective survey of mixing p…
Impact of Selected Meteorological Factors on Covid-19 Incidence in Southern Finland during 2020–2021
We modelled the impact of selected meteorological factors on the daily number of new cases of the coronavirus disease 2019 (COVID-19) at the Hospital District of Helsinki and Uusimaa in southern Finland from August 2020 until May 2021. We applied a DLNM (distributed lag non-linear model) with and without various environmental and non-environmental confounding factors. The relationship between the daily mean temperature or absolute humidity and CO…
COVID-19 epidemiological studies (2 obras) · Demography (2 obras) · Disease (2 obras) · Environmental health (2 obras) · Infection Control and Ventilation (2 obras) · Medicine (2 obras) · 2019-20 coronavirus outbreak (1 obras) · Climate Change and Health Impacts (1 obras) · Confounding (1 obras) · Contact tracing (1 obras)