Methodological approaches to assessing economic effects of activities aimed at minimizing health risks related to extremely dangerous infections
V.Yu. Smolensky1, P.Z. Shur2, D.V. Suvorov2, O.I. Goleva2,3, V.A. Safronov4, E.V. Khrushcheva2, I.V. Vindokurov2,5
1Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing, 18, bild. 5 Vadkovskiy pereulok, Moscow, 127994, Russian Federation
2Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya Str., Perm, 614045, Russian Federation
3Perm State University, 15 Bukireva Str., Perm, 614990, Russian Federation
4«Microbe» Russian Scientific Research Anti-Plague Institute, 46 Universitetskaya Str., Saratov, 410005, Russian Federation
5Perm National Research Polytechnic University, 29 Komsomolskiy avenue, Perm, 614990, Russian Federation
As we assess health risks caused by extremely dangerous infections, we can apply mathematical modeling to estimate a disease or a death case probability. This mathematical modeling describes epidemiological processes and allows to imitate their development without performing any anti-epidemic activities. Parameters which quantitatively assess morbidity and mortality cases obtained via this modeling together with actual data on losses which were not prevented even if anti-epidemic activities were in place, can be used as grounds for economic effects assessment. An economic effect of anti-epidemic activities was calculated in terms of indirect prevented losses which became possible due to decrease in mortality and morbidity; the effect was calculated in money units which were applied in the GDP calculation.
The calculation is performed in full conformity with 'The Methodology for calculating economic losses caused by population mortality, morbidity, and disability" (Moscow, 2012) and envisages assessment of losses in the current year and over a period of survival (for death cases).
The methodology was tested on the example of Ebola fever outbreak in Guinea in 2014-2016. The testing results revealed that if not for anti-epidemic activities which included substantial assistance rendered by other countries (the RF among them), a number of morbidity cases caused by Ebola virus would have reached 521,289, and a number of death cases, 56,345.
The RF Rospotrebnadzor made a significant contribution into Ebola fever outbreak elimination in Guinea; it sent a special anti-epidemic team there in August 2014. The team participated in diagnostic procedures, staff training, and anti-epidemic activities organization. Risk prevented due to assistance rendered by other countries, including the RF, amounted to 517,485 morbidity cases, and 53,809 death cases. Economic effects for Guinea achieved due to anti-epidemic activities aimed at risk minimization with the help of other countries is estimated to be equal to 229.51 million USD; it amounts to approximately 3.5% of Guinea GDP.
- Analiz riska zdorov'yu v strategii gosudarstvennogo sotsial'no-ekonomicheskogo razvitiya: monografiya [Health risk analysis in the strategy of state social and economical development]. In: G.G. Onishchenko, N.V. Zaitseva, eds. Moscow, Perm', 2014, 738 p. (in Russian).
- Bashabshekh M.M., Maslennikov B.I. Imitatsionnoe modelirovanie prostranstvenno-kletochnykh avtomatov s pomoshch'yu programmy AnyLogic [Simulation modeling of the spatial spread of epidemics (cholera for example) using the method of cellular automata \ using the Anylogic]. Naukovedenie: internet-zhurnal, 2013, no. 6 (19), The paper ID in the issue 135TVN613. Available at: http://naukovedenie.ru/PDF/135TVN613.pdf (30.06.2017) (in Russian).
- Gendon Yu.Z. , Vasil'ev Yu.M. Epidemiologicheskaya i ekonomicheskaya effektivnost' zakrytiya shkol pri epidemiyakh i pandemiyakh grippa [Epidemiologic and economic effectiveness of school closure during influenza epidemics and pandemics]. Zhurnal mikrobiologii, epidemiologii i immunobiologii, 2012, no. 3, pp.113–123 (in Russian).
- Plavinskii S.L. Matematicheskoe modelirovanie rasprostraneniya infek-tsii, peredayushchikhsya polovym putem. Znachenie dlya obshchestvennogo zdorov'ya i zdravookhraneniya [Mathematical modeling of sexually transmitted infections spread. Public health implications]. Meditsina, 2013, no. 2, pp. 29–37 (in Russian).
- Ushakov A.A., Saldan I.P., Goleva O.I., Karpova T.N. Fakticheskaya zabolevaemost' naseleniya sub"ekta RF: otsenka ekonomicheskogo effekta (poter') [The actual incidence of the population in the rf subject: assessment of economic effect (losses)]. Gigiena i sanitariya, 2013, no. 6, pp.74–78 (in Russian).
- Shakhanina I.L., Yasinskii A.A. Kontseptsiya opredeleniya ekonomicheskoi effektivnosti vaktsinoprofilaktiki [The concept of Determining the Cost-Effectiveness of Vaccination]. Epidemiologiya i Vaktsinoprofilaktika, 2010, vol. 53, no. 4, pp. 74–80 (in Russian).
- Yushchuk N.D., Martynov Yu.V. Epidemiologiya: Ucheb. Posobie [Epidemiology: a manual]. 2-ndeds., Moscow, Meditsina, Publ., 2003, 448 p. (in Russian).
- Assessing the socio-economic impacts of Ebola Virus Disease in Guinea, Liberia and Sierra Leone: The Road to Recovery. 2014, 72 p. Available at: http://www.africa.undp.org/content/dam/rba/docs/Reports/EVD%20Synthesis%... (10.06.2017).
- Assessing the International Spreading Risk Associated with the 2014 West African Ebola Outbreak. PLOS: Current Outbreak, 2014. Available at: http://currents.plos.org/outbreaks/article/assessing-the-international-s... (10.06.2017).
- Faye O., Boëlle P.Y., Heleze E., Faye O., Loucoubar C., Magassouba N., Soropogui B., Keita S., Gakou T., Bah el H.I., Koivogui L., Sall A.A., Cauchemez S. Chains of transmission and control of Ebola virus disease in Conakry, Guinea, in 2014: an observational study. Lancet, 2015, vol. 15, no. 3, pp. 320–326.
- Cost of the Ebola Epidemic: CDC Document, 2016. Available at: https://www.cdc.gov/vhf/ebola/pdf/im-pact-ebola-economy.pdf (03.03.2017).
- Ebola data and statistics. World Health Organization. Available at: http://apps.who.int/gho/data/node.ebola-sitrep.ebola-country?lang=en (10.06.2017).
- Baize S., Pannetier D., Oestereich L., Rieger T., Koivogui L., Magassouba N., Soropogui B., Sow M.S., Keïta S., De Clerck H., Tiffany A., Dominguez G., Loua M., Traoré A., Kolié M., Malano E.R., Heleze E., Bocquin A., Mély S., Raoul H., Caro V., Cadar D., Gabriel M., Pahlmann M., Tappe D., Schmidt-Chanasit J., Impouma B., Diallo A.K., Formenty P., Van Herp M., Günther S. Emergence of Zaire Ebola virus disease in Guinea. N. Engl. J. Med, 2014, vol. 371, no. 15, pp. 1418–1425. DOI: 10.1056/NEJMoa1404505
- Frasso G., Lambert P. Bayesian inference in an extended SEIR model with nonparametric disease transmission rate: an application to the Ebola epidemic in Sierra Leone.Biostatistics, 2016, vol. 17, no. 4, pp.779–792.
- Kermack W., McKendrick A. A contribution to the mathematical theory of epidemics. Proc. R. Soc. Lon-don, 1927, A 115, 700–721.
- Niels G. Becker Statistical studies of infectious disease incidence. J. R. Statist. Soc. B, 1999, vol. 61, part 2, pp. 287–307.
- Shen M., Xiao Ya., Rong L. Modeling the effect of comprehensive interventions on Ebola virus transmis-sion. Scientific Reports. 5, 2015, Article number: 15818. DOI: 10.1038/srep15818. Available at: http://www.na-ture.com/articles/srep15818 (10.06.2017).
- Socio-Economic Impact of Ebola Virus Disease in West African Countries: A call for national and regional containment, recovery and prevention. United Nations Development Group - Western and Central Africa. 2015, 116 p. Available at: http://www.africa.undp.org/content/dam/rba/docs/Reports/ebola-west-afric... (10.06.2017).
- The Economic Impact of the 2014 Ebola Epidemic: Short and Medium Term Estimates for Guinea, Liberia, and Sierra Leone. World Bank. 2014, 29 p. Available at: https://www.globalsecurity.org/security/library/re-port/2014/2014-ebola-... (10.06.2017).
- Legrand J., Grais R.F., PBoelle.Y., Valleron A.J., Flahault A. Understanding the dynamics of Ebola epi-demics.Epidemiology and Infection, 2007, vol. 135, no. 4, pp. 610–621.
- Update on the Economic Impact of the 2014-2015 Ebola Epidemic on Liberia, Sierra Leone, and Guinea. World Bank Group, 2015, 19 p. Available at: https://openknowledge.worldbank.org/bit-stream/handle/10986/21965/95804.pdf (10.06.2017).