PMID- 36673975
OWN - NLM
STAT- MEDLINE
DCOM- 20230124
LR  - 20231118
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 20
IP  - 2
DP  - 2023 Jan 10
TI  - Estimation of Total Cost Required in Controlling COVID-19 Outbreaks by Financial 
      Incentives.
LID - 10.3390/ijerph20021217 [doi]
LID - 1217
AB  - In this article, we present a Monte Carlo simulation (MCS) to estimate the total 
      cost required to control the spread of the COVID-19 pandemic by financial 
      incentives. One of the greatest difficulties in controlling the spread of the 
      COVID-19 pandemic is that most infected people are not identified and can 
      transmit the virus to other people. Therefore, there is an urgent need to rapidly 
      identify and isolate the infected people to avoid the further spread of COVID-19. 
      To achieve this, we can consider providing a financial incentive for the people 
      who voluntarily take the COVID-19 test and test positive. To prevent the abuse of 
      the financial incentive policy, several conditions should be satisfied to receive 
      the incentive. For example, an incentive is offered only if the recipients know 
      who infected them. Based on the data obtained from epidemiological 
      investigations, we calculated an estimated total cost of financial incentives for 
      the policy by generating various possible infection routes using the estimated 
      parameters and MCS. These results would help public health policymakers implement 
      the proposed method to prevent the spread of the COVID-19 pandemic. In addition, 
      the incentive policy can support various preparations such as hospital bed 
      preparation, vaccine development, and so forth.
FAU - Kim, Sangkwon
AU  - Kim S
AD  - Department of Mathematics, Korea University, Seoul 02841, Republic of Korea.
FAU - Hwang, Youngjin
AU  - Hwang Y
AD  - Department of Mathematics, Korea University, Seoul 02841, Republic of Korea.
FAU - Lee, Chaeyoung
AU  - Lee C
AD  - Department of Mathematics, Korea University, Seoul 02841, Republic of Korea.
FAU - Kwak, Soobin
AU  - Kwak S
AD  - Department of Mathematics, Korea University, Seoul 02841, Republic of Korea.
FAU - Kim, Junseok
AU  - Kim J
AUID- ORCID: 0000-0002-0484-9189
AD  - Department of Mathematics, Korea University, Seoul 02841, Republic of Korea.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230110
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
SB  - IM
MH  - Humans
MH  - *COVID-19/epidemiology
MH  - Motivation
MH  - Pandemics/prevention & control
PMC - PMC9859412
OTO - NOTNLM
OT  - COVID-19
OT  - Monte Carlo simulation
OT  - financial incentives
OT  - policymakers
COIS- The authors declare no conflict of interest.
EDAT- 2023/01/22 06:00
MHDA- 2023/01/25 06:00
PMCR- 2023/01/10
CRDT- 2023/01/21 01:21
PHST- 2022/11/28 00:00 [received]
PHST- 2023/01/06 00:00 [revised]
PHST- 2023/01/07 00:00 [accepted]
PHST- 2023/01/21 01:21 [entrez]
PHST- 2023/01/22 06:00 [pubmed]
PHST- 2023/01/25 06:00 [medline]
PHST- 2023/01/10 00:00 [pmc-release]
AID - ijerph20021217 [pii]
AID - ijerph-20-01217 [pii]
AID - 10.3390/ijerph20021217 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2023 Jan 10;20(2):1217. doi: 
      10.3390/ijerph20021217.