Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln

Identifying areas with high and low infection rates can provide important etiological clues. Usually, areas with high and low infection rates are identified by aggregating epidemiological data into geographical units, such as administrative areas. This assumes that the distribution of population num...

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Detalles Bibliográficos
Autores principales: Lambio, Christoph, Schmitz, Tillman, Elson, Richard, Butler, Jeffrey, Roth, Alexandra, Feller, Silke, Savaskan, Nicolai, Lakes, Tobia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218333/
https://www.ncbi.nlm.nih.gov/pubmed/37239558
http://dx.doi.org/10.3390/ijerph20105830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218333/
https://www.ncbi.nlm.nih.gov/pubmed/37239558
http://dx.doi.org/10.3390/ijerph20105830

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