Back
Top 16%
30.7%
#1
15.7%
Top 18%
9.7%
Top 6%
4.5%
Top 3%
3.0%
Top 11%
2.1%
Top 0.4%
2.1%
Top 5%
2.1%
Top 19%
1.7%
Top 8%
1.7%
Top 11%
1.7%
Top 3%
1.4%
Top 58%
1.3%
Top 20%
1.1%
Top 29%
1.0%
Top 8%
0.8%
Top 7%
0.8%
Top 12%
0.8%
Top 23%
0.8%
Top 4%
0.8%
Top 5%
0.8%
Top 3%
0.8%
Top 2%
0.8%
Modelling the COVID-19 epidemics in Brasil: Parametric identification and public health measures influence
2020-04-03
epidemiology
Title + abstract only
View on medRxiv
Show abstract
A SIRU-type epidemic model is employed for the prediction of the COVID-19 epidemy evolution in Brazil, and analyse the influence of public health measures on simulating the control of this infectious disease. Since the reported cases are typically only a fraction of the total number of the symptomatic infectious individuals, the model accounts for both reported and unreported cases. Also, the model allows for a time variable functional form of both the transmission rate and the fraction of asymp...
Predicted journal destinations
1
PLOS ONE
1737 training papers
2
Infectious Disease Modelling
50 training papers
3
Scientific Reports
701 training papers
4
Frontiers in Public Health
135 training papers
5
Epidemiology and Infection
80 training papers
6
International Journal of Environmental Research and Public Health
116 training papers
7
PeerJ
46 training papers
8
Epidemics
96 training papers
9
BMC Public Health
148 training papers
10
PLOS Computational Biology
141 training papers
11
PLOS Neglected Tropical Diseases
166 training papers
12
Royal Society Open Science
49 training papers
13
BMJ Open
553 training papers
14
BMC Infectious Diseases
110 training papers
15
PLOS Global Public Health
287 training papers
16
BMC Medical Research Methodology
41 training papers
17
Science of The Total Environment
80 training papers
18
Heliyon
57 training papers
19
International Journal of Infectious Diseases
115 training papers
20
JMIRx Med
29 training papers
21
Journal of The Royal Society Interface
54 training papers
22
Journal of Theoretical Biology
29 training papers
23
Chaos, Solitons & Fractals
17 training papers