Abstract
We analyse two models describing disease transmission and control on regular and small-world networks. We use simulations to find a control strategy that minimizes the total cost of an outbreak, thus balancing the costs of disease against that of the preventive treatment. The models are similar in their epidemiological part, but differ in how the removed/recovered individuals are treated. The differences in models affect choice of the strategy only for very cheap treatment and slow spreading disease. However for the combinations of parameters that are important from the epidemiological perspective (high infectiousness and expensive treatment) the models give similar results. Moreover, even where the choice of the strategy is different, the total cost spent on controlling the epidemic is very similar for both models.
| Original language | English |
|---|---|
| Article number | e63813 |
| Number of pages | 8 |
| Journal | PLoS ONE |
| Volume | 8 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 4 Jun 2013 |
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Keywords
- disease transmission and control
- simulations
- small-world networks
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Efficient control of epidemics spreading on networks : balance between treatment and recovery. / Oleś, Katarzyna; Gudowska-Nowak, Ewa; Kleczkowski, Adam.
In: PLoS ONE, Vol. 8, No. 6, e63813, 04.06.2013.Research output: Contribution to journal › Article
TY - JOUR
T1 - Efficient control of epidemics spreading on networks
T2 - balance between treatment and recovery
AU - Oleś, Katarzyna
AU - Gudowska-Nowak, Ewa
AU - Kleczkowski, Adam
PY - 2013/6/4
Y1 - 2013/6/4
N2 - We analyse two models describing disease transmission and control on regular and small-world networks. We use simulations to find a control strategy that minimizes the total cost of an outbreak, thus balancing the costs of disease against that of the preventive treatment. The models are similar in their epidemiological part, but differ in how the removed/recovered individuals are treated. The differences in models affect choice of the strategy only for very cheap treatment and slow spreading disease. However for the combinations of parameters that are important from the epidemiological perspective (high infectiousness and expensive treatment) the models give similar results. Moreover, even where the choice of the strategy is different, the total cost spent on controlling the epidemic is very similar for both models.
AB - We analyse two models describing disease transmission and control on regular and small-world networks. We use simulations to find a control strategy that minimizes the total cost of an outbreak, thus balancing the costs of disease against that of the preventive treatment. The models are similar in their epidemiological part, but differ in how the removed/recovered individuals are treated. The differences in models affect choice of the strategy only for very cheap treatment and slow spreading disease. However for the combinations of parameters that are important from the epidemiological perspective (high infectiousness and expensive treatment) the models give similar results. Moreover, even where the choice of the strategy is different, the total cost spent on controlling the epidemic is very similar for both models.
KW - disease transmission and control
KW - simulations
KW - small-world networks
UR - http://www.scopus.com/inward/record.url?scp=84878662549&partnerID=8YFLogxK
UR - https://journals.plos.org/plosone/
U2 - 10.1371/journal.pone.0063813
DO - 10.1371/journal.pone.0063813
M3 - Article
VL - 8
JO - PLOS One
JF - PLOS One
SN - 1932-6203
IS - 6
M1 - e63813
ER -