Back

Population heterogeneity is a critical factor of the kinetics of the COVID-19 epidemics

Ediev, D. M.

2020-06-26 epidemiology
10.1101/2020.06.25.20140442 medRxiv
Show abstract

The novel coronavirus pandemic generates extensive attention in political and scholarly domains 1-4. Its potentially lasting prospects, economic and social consequences call for a better understanding of its nature. The widespread expectations of large portions of the population to be infected or vaccinated before containing the COVID-19 epidemics rely on assuming a homogeneous population. In reality, people differ in the propensity to catch the infection and spread it further. Here, we incorporate population heterogeneity into the Kermack-McKendrick SIR compartmental model 5 and show the cost of the pandemic may be much lower than usually assumed. We also indicate the crucial role of correctly planning lockdown interventions. We found that an efficient lockdown strategy may reduce the cost of the epidemic to as low as several percents in a heterogeneous population. That level is comparable to prevalences found in serological surveys 6. We expect that our study will be followed by more extensive data-driven research on epidemiological dynamics in heterogeneous populations.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 3%
14.3%
2
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 0.9%
6.8%
3
iScience
1063 papers in training set
Top 1.0%
6.8%
4
Frontiers in Physics
20 papers in training set
Top 0.1%
6.3%
5
Science Advances
1098 papers in training set
Top 4%
3.9%
6
Chaos: An Interdisciplinary Journal of Nonlinear Science
16 papers in training set
Top 0.1%
3.6%
7
PLOS Computational Biology
1633 papers in training set
Top 10%
3.6%
8
Communications Physics
12 papers in training set
Top 0.1%
3.6%
9
eLife
5422 papers in training set
Top 26%
3.6%
50% of probability mass above
10
Nature Communications
4913 papers in training set
Top 45%
2.4%
11
Communications Biology
886 papers in training set
Top 5%
2.1%
12
Heliyon
146 papers in training set
Top 1%
2.1%
13
Biophysical Journal
545 papers in training set
Top 3%
1.9%
14
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 32%
1.7%
15
Epidemiology and Infection
84 papers in training set
Top 1%
1.7%
16
Epidemics
104 papers in training set
Top 1.0%
1.7%
17
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.9%
1.7%
18
Royal Society Open Science
193 papers in training set
Top 3%
1.5%
19
Computational and Structural Biotechnology Journal
216 papers in training set
Top 6%
1.3%
20
Physical Biology
43 papers in training set
Top 1%
1.3%
21
Quantitative Biology
11 papers in training set
Top 0.4%
1.1%
22
Journal of The Royal Society Interface
189 papers in training set
Top 4%
0.9%
23
COVID
13 papers in training set
Top 0.3%
0.8%
24
PNAS Nexus
147 papers in training set
Top 2%
0.7%
25
Emerging Microbes & Infections
74 papers in training set
Top 2%
0.7%
26
Journal of Theoretical Biology
144 papers in training set
Top 2%
0.7%
27
Eurosurveillance
80 papers in training set
Top 2%
0.7%
28
Biology
43 papers in training set
Top 3%
0.7%
29
F1000Research
79 papers in training set
Top 6%
0.6%
30
Advanced Science
249 papers in training set
Top 22%
0.6%