Back
#1
37.9%
Top 18%
27.1%
Top 34%
2.4%
Top 13%
2.4%
Top 6%
2.4%
Top 16%
1.9%
Top 3%
1.6%
Top 8%
1.6%
Top 53%
1.6%
Top 7%
1.4%
Top 19%
1.4%
Top 13%
1.2%
Top 10%
1.2%
Top 4%
1.2%
Top 20%
1.2%
Top 49%
0.9%
Top 26%
0.6%
Top 1%
0.6%
Top 8%
0.6%
Top 39%
0.6%
Top 17%
0.6%
Top 4%
0.6%
Guiding Austria through the COVID-19 Epidemics with a Forecast-Based Early Warning System
2020-10-20
health policy
Title + abstract only
View on medRxiv
Show abstract
In response to the SARS-CoV-2 pandemic, the Austrian governmental crisis unit commissioned a forecast consortium with regularly projections of case numbers and demand for hospital beds. The goal was to assess how likely Austrian ICUs would become overburdened with COVID-19 patients in the upcoming weeks. We consolidated the output of three independent epidemiological models (ranging from agent-based micro simulation to parsimonious compartmental models) and published weekly short-term forecasts ...
Predicted journal destinations
1
Scientific Reports
701 training papers
2
PLOS ONE
1737 training papers
3
Nature Communications
483 training papers
4
BMC Public Health
148 training papers
5
PLOS Computational Biology
141 training papers
6
Frontiers in Public Health
135 training papers
7
Royal Society Open Science
49 training papers
8
Proceedings of the National Academy of Sciences
100 training papers
9
BMJ Open
553 training papers
10
Epidemics
96 training papers
11
International Journal of Environmental Research and Public Health
116 training papers
12
Journal of Medical Internet Research
81 training papers
13
Nature Medicine
88 training papers
14
JMIR Public Health and Surveillance
45 training papers
15
JAMA Network Open
125 training papers
16
eLife
262 training papers
17
International Journal of Infectious Diseases
115 training papers
18
PNAS Nexus
22 training papers
19
Infectious Disease Modelling
50 training papers
20
BMC Medicine
155 training papers
21
Vaccines
131 training papers
22
F1000Research
28 training papers