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The European Journal of Health Economics

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23.04.2018 | Original Paper

People’s perception and cost-effectiveness of home confinement during an influenza pandemic: evidence from the French case

verfasst von: Caroline Orset

Erschienen in: The European Journal of Health Economics | Ausgabe 9/2018

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Abstract

In France, home confinement is not a common preventive measure against an influenza pandemic, although it is used around the world. Based on a stated method approach, we analyze the attitude that the French would adopt if this measure were put in place. Next, we propose a cost–benefit analysis to discuss the cost-effectiveness of this measure. We find that over three-quarters of respondents report complying with home confinement. Their choice depends on their individual characteristics, the interaction they may have with an infected person and home confinement conditions, but not their experience with preventive measures. We find that behaviors such as sensitivity to certainty, selfishness and altruism emerge. As far as cost-effectiveness is concerned, our study shows that home confinement is a prevention path that should not be neglected and should even be prescribed.

For more details see: http://www.who.int/influenza/en/ and http://www.cdc.gov/flu/index.html.

For the World Health Organization (WHO), the home confinement policy is to separate the infected (isolation) and all members of their household, even if they are in good health (quarantine), from other individuals, asking them to stay at home.

For more details, See: http://www.Who.int/csr/don/20100806/en/index.html.

A home confinement during 7 days for influenza is the recommendation of the [5]. See: https://www.cdc.gov/flu/professionals/infectioncontrol/healthcaresettings.html.

The French GPs Sentinelles network is a national system of clinical surveillance that collects real-time epidemiological data from general practitioners and pediatricians in France.

For more details see: http://www.who.int/influenza/en/.

From the French GPs Sentinelles network and Institute Pasteur in France.

For more details see: http://ec.europa.eu/food/animals/animal-diseases/controlmeasures/avian-influenza/indexen.html.

For more details on Marketest, see: http://www.marketest.co.uk/.

Influenza can affect everyone, so selecting a sample based on the characteristics of the French population does not present a risk of selection bias.

We do not have the perception of children in this study. In France, interviewing a child requires many administrative procedures. We did not hire them because a child will listen to the decision of their parents, that is, the choice of an adult. As a result, children’s behavior is associated with adult behavior.

According to the INSEE in 2013, the health sector staff represents 6.5% of the working population.

Our choice is based on the probit model because choosing a logit model would imply a higher probability attributed to extreme events, compared to the choice of a normal distribution.

A contingency table is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables. It provides a basic picture of the interrelation between two variables and can help find interactions between them.

The χ² test is used to determine whether there is a significant difference between the expected frequencies and the observed frequencies in one or more categories.

We are not talking here about the importance of simulating an epidemic in a hospital or other medical centers.

As [34] states: The acquisition of ... talents during ... education, study, or apprenticeship, costs a real expense, which is capital in [a] person. Those talents [are] part of his fortune [and] likewise that of society.

In [2], the loss of human capital was 99 euros, the loss of productivity was 102 euros, the probability of death was 0.7 per 100,000 and the VSL was between 1.6 and 6 million euros.

In [2], absent from work was 78.90 euros, reduced productivity was 13.80 euros, the probability of death was 4 per 100,000 and the VSL was between 1.6 and 6 million euros.

In [2], the probability of death was 102 per 100,000, and the VSL was between 1.6 and 6 million euros.

From INSEE 2013–2014.

For more details see: https://websenti.u707.jussieu.fr/sentiweb/?page=presentation.

Acute diarrhea, chickenpox, herpes zoster, influenza, Lyme disease, male urethritis, mumps and suicidal attempts.

Actually, data from 1985 exists, but we could not access the age classes.

Data from CNAM-TS, http://invs.santepubliquefrance.fr/Dossiers-thematiques/Maladiesinfectieuses/Maladies-a-prevention-vaccinale/Couverture-vaccinale/Donnees/Grippe.

Although there is a time lag between the onset of the disease of different patients, the costs are calculated over a period of 1 year. We then consider that the discount rate is equal to one.

We discussed with the French GPs Sentinelles network to verify whether data were available or whether an epidemiological model had been produced concerning the impacts of home confinement on the incidence of influenza in France. Unfortunately, there is none.

That is, 70% of those infected and their household members agreed to stay confined to home while 30% refused.

The basic reproduction number \((R_0)\) is one of the commonly accepted measures of pandemic severity. \(R_0\) is defined as the average number of secondary infections, produced by a typical infected case in a very susceptible population. From [10, 25, 35], \(R_0\) values for influenza range between 1.4 and 3.9, where \(R_0\le 1.8\) are considered as of low transmissibility and \(2.2\le R_0\le 3.9\) as of high transmissibility. These studies have been done in Southeast Asia, for reproducing the 1918 pandemic influenza around the world, and in Florida (USA), respectively.

Cheap talk refers to the process of explaining hypothetical bias to individuals prior to asking a valuation question.

Achonu, C., Laporte, A., Gardam, M.A.: The financial impact of controlling a respiratory virus outbreak in a teaching hospital: lessons learned from SARS. Can. J. Public. Health. 96, 52–54 (2005)PubMed

Adda, J.: Economic activity and the spread of viral diseases: evidence from high frequency data. Q. J. Econ. 131(2), 891–941 (2016)CrossRef

Ashenfelter, O., Greenstone, M.: Using mandated speed limits to measure the value of a statistical life. J. Polit. Econ. 112, 226–267 (2004)CrossRef

Blendon, R., DesRoches, C.M., Cetron, M.S., Benson, J.M., Meinhardt, T., Pollard, W.: Attitudes toward the use of quarantine in a public health emergency in four countries. Health Aff. 25(2), 15–25 (2006)CrossRef

Centers for Disease Control and Prevention (CDC). Interim pre-pandemic planning guidance: community strategy for pandemic influenza mitigation in the United States (2007)

Chao, D.L., Halloran, M.E., Obenchain, V.J., Longini, I.M.: FluTE, a publicly available stochastic influenza epidemic simulation model. PLoS Comput. Biol. p. 6 (2010)

Cobanoglu, C., Warde, B., Moreo, P.: A comparison of mail, fax, and Web-based survey methods. Int. J. Mark. Res. 43(4), 405–410 (2001)

Coudeville, L., Van Rie, A., Getsios, D., Caro, J.J., Crpey, P., Nguyen, V.N.: Adult vaccination strategies for the control of pertussis in the United States: an economic evaluation including the dynamic population effects. PLoS One. p. 4 (2009)

Couper, M.P.: Web surveys: a review of issues and approaches. Public Opin. Q. 64(4), 464–494 (2000)CrossRef

10.

Ferguson, N.M., Cummings, D.A.T., Cauchemez, S., Fraser, C., Riley, S., Meeyai, A., Iamsirithaworn, S., Burke, D.S.: Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 437, 209–214 (2005)CrossRef

11.

Fricker, S., Galesic, M., Tourangeau, R., Yan, T.: An experimental comparison of web and telephone surveys. Public Opin. Q. 69(3), 370–392 (2005)CrossRef

12.

Gupta, A.G., Moyer, C.A., Stern, D.T.: The economic impact of quarantine: SARS in Toronto as a case study. J. Infect. 50, 386–393 (2005)CrossRef

13.

Haber, M.J., Shay, D.K., Davis, X.M., Patel, R., Jin, X., Weintraub, E., Orenstein, E., Thompson, W.W.: Effectiveness of interventions to reduce contact rates during a simulated influenza Pandemic. Emerg. Infect. Dis. 13(4) (2007)CrossRef

14.

Halder, N., Kelso, J.K., Milne, G.J.: Analysis of the effectiveness of interventions used during the 2009 \(A/H_1N_1\) influenza pandemic. BioMed Central p. 10 (2010)

15.

Heerwegh, D., Loosveldt, G.: Face-to-face versus web surveying in a high-internet coverage population: differences in response quality. Public Opin. Q. 72(5), 836–846 (2008)CrossRef

16.

Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 47(2), 263–91 (1979)CrossRef

17.

Kelso, J.K., Milne, G.J., Kelly, H.: Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza. Public Health. p. 9 (2009)

18.

Kreuter, F., Presser, S., Tourangeau, R.: Social desirability bias in CATI, IVR, and Web surveys: the effects of mode and question sensitivity. Public Opin. Q. 72(5), 847–865 (2008)CrossRef

19.

Kroes, E.P., Sheldon, R.J.: Stated preference methods: an introduction. J. Transp. Econ. Policy. 22(1), 11–25 (1988)

20.

Liang, W., Feng, L., Xu, C., Xiang, N., Zhang, Y., Shu, Y., Wang, H., Luo, H., Yu, H., Liang, X., Li, D., Lee, C.K., Feng, Z., Hou, Y., Wang, Y., Chen, Z., Yang, W.: Response to the first wave of pandemic \((H_{1}N_{1})\) 2009: experiences and lessons learnt from China. Public Health. 126, 427–36 (2012)CrossRef

21.

Longini I.M. Jr., Nizam, A., Xu, S., Ungchusak, K., Hanshaoworakul, W., Cummings, D.A.T, Halloran, M.E.: Containing pandemic influenza at the source. Science. 309(12) (2005)CrossRef

22.

Louviere, J.J., Hensher, D.A., Swait, J.D.: Stated Choice Methods, Analysis and Applications. Cambridge University Press, Cambridge (2000)CrossRef

23.

Lusk, J.L.: Effects of cheap talk on consumer willingness to pay for golden rice. Am. J. Agric. Econ. 85(4), 840–856 (2003)CrossRef

24.

McDonald, H., Adam, S.: A comparison of online and postal data collection methods in marketing research. Mark. Intell. Plan. 21(2), 85–95 (2003)CrossRef

25.

Mills, C.E., Robins, J.M., Lipsitch, M.: Transmissibility of 1918 pandemic influenza. Nature 432, 904–906 (2004)CrossRef

26.

Milne, G.J., Kelso, J.K., Kelly, H.A., Huband, S.T., McVernon, J.: A small community model for the transmission of infectious diseases: comparison of school closure as an intervention in individual-based models of an influenza pandemic. PLoS One. p. 3 (2008)

27.

Molinari, N.A.M., Ortega-Sanchez, I.R., Messonnier, M.L., Thompson, W.W., Wortley, P.M., Weintraub, E., Bridges, C.B.: The annual impact of seasonal influenza in the US: measuring disease burden and costs. Vaccine 25, 5086–5096 (2007)CrossRef

28.

Mubayi, A., Zaleta, C.K., Martcheva, M., Castillo-Chvez, C.: A cost-based comparison of quarantine strategies for new emerging diseases. Math. Biosci. Eng. 7, 687–717 (2010)CrossRef

29.

Murphy, K.M., Topel, R.: The value of health and longevity. J. Polit. Econ. 114, 871–904 (2006)CrossRef

30.

Newall, A.T., Beutels, P., Wood, J.G., Edmunds, W.J., MacIntyre, C.R.: Cost-effectiveness analyses of human papillomavirus vaccination. Lancet. Infect. Dis. 7, 289–96 (2007)CrossRef

31.

Nichol, K.L.: Cost-benefit analysis of a strategy to vaccinate healthy working adults against influenza. JAMA Int. Med. 161, 749–759 (2001)CrossRef

32.

Pérez Velasco, R., Praditsitthikorn, N., Wichmann, K., Mohara, A., Kotirum, S., Tantivess, S., Vallenas, C., Harmanci, H., Teerawattananon, Y.: Systematic review of economic evaluations of preparedness strategies and interventions against influenza pandemics. PLoS One (2012)

33.

Prosser, L.A., Bridges, C.B., Uyeki, T.M., Hinrichsen, V.L., Meltzer, M.I., Molinari, N.-A.M., Schwartz, B., Thompson, W.W., Fukuda, K., Lieu, T.A.: Health Benefits, risks, and cost-effectiveness of influenza vaccination of children. Emerg. Infect. Dis. 12, 1548–1558 (2006)CrossRef

34.

Smith, A.: Recherches sur la nature et les causes de la richesse des nations. (1776)

35.

Uribe-Sánchez, A., Savachkin, A., Santana, A., Prieto-Santa, D., Das, T.K.: A predictive decision-aid methodology for dynamic mitigation of influenza pandemics. OR Spectr. 33(3), 751–786 (2011)CrossRef

36.

Viscusi, W.K., Aldy, J.E.: The value of a statistical life: a critical review of market estimates throughout the world. J. Risk Uncertain. 27, 5–76 (2003)CrossRef

37.

Zhu, G., Chen, G., Fu, X.: Effects of active links on epidemic transmission over social networks. Phys. A 468, 614–621 (2017)CrossRef

Titel: People’s perception and cost-effectiveness of home confinement during an influenza pandemic: evidence from the French case
verfasst von: Caroline Orset
Publikationsdatum: 23.04.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: The European Journal of Health Economics / Ausgabe 9/2018
Print ISSN: 1618-7598
Elektronische ISSN: 1618-7601
DOI: https://doi.org/10.1007/s10198-018-0978-y

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People’s perception and cost-effectiveness of home confinement during an influenza pandemic: evidence from the French case

Abstract

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

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