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computational epidemiology
Enhancing global preparedness during an ongoing pandemic from partial and noisy data
P Klamser
,
V d'Andrea
,
F Di Lauro
,
A Zachariae
,
S Bontorin
,
A di Nardo
,
M Hall
,
B F Maier
,
L Ferretti
,
D Brockmann
,
M De Domenico
https://www.medrxiv.org/content/10.1101/2022.08.19.22278981v1
As the coronavirus disease 2019 (COVID-19) spread globally, emerging variants such as B.1.1.529 quickly became dominant worldwide. Sustained community …
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Preprint out: Enhancing global preparedness during an ongoing pandemic from partial and noisy data
P Klamser
,
V d'Andrea
,
F Di Lauro
,
A Zachariae
,
S Bontorin
,
A di Nardo
,
M Hall
,
B F Maier
,
L Ferretti
,
D Brockmann
,
M De Domenico
As the coronavirus disease 2019 (COVID-19) spread globally, emerging variants such as B.1.1.529 quickly became dominant worldwide. Sustained community …
Digitale Epidemiologie
D Brockmann
Bundesgesundheitsbl 63, 166–175
Digital epidemiology is a new and rapidly growing field. The technological revolution we have been witnessing during the last decade, the global rise …
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