Back
Number of tests required to flatten the curve of coronavirus disease-2019
Hwang, S.; Kim, J.-H.; Choe, Y. J.; Oh, D.-h.
2021-01-02
public and global health
10.1101/2020.12.26.20248818
medRxiv
Show abstract
We developed a mathematical model to quantify the number of tests required to stop the spread of coronavirus disease 2019 (COVID-19). Our model analyses performed using the data from the U.S. suggest that the infection coefficient increases by approximately 47% upon relaxing the lockdown policy. To offset the effect of lockdown relaxation, the number of tests should increase by 2.25 times, corresponding to approximately 280,000-360,000 tests per day in April 2020.
Matching journals
●Non-profit
◐University press
○Commercial
The top 3 journals account for 50% of the predicted probability mass.
1
JMIR Public Health and Surveillance
◐
45 papers in training set
Top 0.1%
22.0%
2
Scientific Reports
○
3102 papers in training set
Top 1%
17.9%
3
PLOS ONE
●
4510 papers in training set
Top 16%
12.1%
50% of probability mass above
4
Frontiers in Public Health
○
140 papers in training set
Top 1%
4.7%
5
Infectious Disease Modelling
○
50 papers in training set
Top 0.3%
4.7%
6
F1000Research
○
79 papers in training set
Top 0.7%
3.0%
7
International Journal of Infectious Diseases
○
126 papers in training set
Top 0.7%
3.0%
8
Nature Communications
○
4913 papers in training set
Top 49%
1.8%
9
Communications Biology
○
886 papers in training set
Top 11%
1.5%
10
Mathematical Biosciences and Engineering
●
23 papers in training set
Top 0.4%
1.5%
11
eLife
●
5422 papers in training set
Top 46%
1.5%
12
BMC Infectious Diseases
○
118 papers in training set
Top 4%
1.2%
13
JMIRx Med
◐
31 papers in training set
Top 2%
0.9%
14
Journal of Clinical Medicine
○
91 papers in training set
Top 5%
0.9%
15
Journal of The Royal Society Interface
●
189 papers in training set
Top 4%
0.9%
16
Science of The Total Environment
○
179 papers in training set
Top 4%
0.9%
17
Mathematical Biosciences
○
42 papers in training set
Top 1%
0.8%
18
Journal of Infection and Public Health
○
15 papers in training set
Top 0.6%
0.8%
19
PLOS Computational Biology
●
1633 papers in training set
Top 24%
0.8%
20
PeerJ
◐
261 papers in training set
Top 14%
0.8%
21
BioMed Research International
○
25 papers in training set
Top 3%
0.7%
22
Chaos: An Interdisciplinary Journal of Nonlinear Science
●
16 papers in training set
Top 0.3%
0.7%
23
Frontiers in Physiology
○
93 papers in training set
Top 6%
0.7%
24
Epidemiology and Infection
◐
84 papers in training set
Top 4%
0.6%
25
Public Health
○
34 papers in training set
Top 2%
0.6%
26
Frontiers in Medicine
○
113 papers in training set
Top 8%
0.6%
27
Cureus
○
67 papers in training set
Top 6%
0.6%