Cost-effectiveness analysis of VECTOS software for the control of diseases transmitted by Aedes aegypti in two Colombian municipalities

Manuel Alejandro Salinas , Victoria Eugenia Soto, Sergio Iván Prada , .

Keywords: Aedes aegypti, dengue, vector control, cost-benefit analysis, software

Abstract

Introduction: Diseases transmitted by Aedes aegypti are considered a public health problem. VECTOS is a novel software for the integration of vector control strategies.
Objective: To assess the cost-effectiveness of the use of VECTOS in the routine control programs of diseases transmitted by A. aegypti in the municipality of San Juan de Girón (Santander).
Materials and methods: We conducted a cost-effectiveness analysis using a decision analysis model from the perspective of the local health authorities. We considered the use of the VECTOS software in the routine control activities in the municipality of San Juan de Girón during 2016 as the treatment group while the routine control in the municipality of Floridablanca, where VECTOS is not implemented, was considered as the comparator. We calculated the incremental cost-effectiveness ratio (ICER) taking as effectiveness measure the disability-adjusted life years (DALY).
Results: VECTOS was cost-effective at a rate of USD$ 660,4 savings per each DALY avoided compared to the routine control in Floridablanca. The probabilistic model showed that the system was cost-effective in 70% of the 10.000 iterations for a threshold between 1 to 3 GDP per capita.
Conclusions: VECTOS software as implemented in the municipality of San Juan de Girón is highly cost-effective and could be used in other municipalities in the country where diseases transmitted by A. aegypti are endemic.

Downloads

Download data is not yet available.
  • Manuel Alejandro Salinas Centro de Estudios en Protección Social y Economía de la Salud, PROESA, Universidad Icesi, Cali, Colombia
  • Victoria Eugenia Soto Centro de Estudios en Protección Social y Economía de la Salud, PROESA, Universidad Icesi, Cali, Colombia
  • Sergio Iván Prada Centro de Estudios en Protección Social y Economía de la Salud, PROESA, Universidad Icesi, Cali, Colombia

References

Instituto Nacional de Salud. Boletín epidemiológico semanal No. 52 de 2016. Bogotá: Instituto Nacional de Salud; 2016. Fecha de consulta: 28 de noviembre de 2017. Disponible en: https://www.ins.gov.co/buscador-eventos/BoletinEpidemiologico/2016%20Bolet%C3%ADn%20epidemiol%C3%B3gico%20semana%2052%20-.pdf

Castrillón JC, Castaño J, Urcuqui S. Dengue en Colombia, diez años de evolución. Rev Chil Infectol. 2015;32. https://doi.org/10.4067/S0716-10182015000300002

Chaparro P, León W, Castañeda CA. Comportamiento de la mortalidad por dengue en Colombia entre 1985 y 2012. Biomédica. 2016;36(Supl.2):125-34. https://doi.org/10.7705/biomedica.v36i0.3009

Castro-Rodríguez R, Carrasquilla G, Porras A, Galera-Gélvez K, Yescas JG, Rueda-Gallardo JA. The burden of dengue and the financial cost to Colombia, 2010-2012. Am J Trop Med Hyg. 2016;94:1065-72. https://doi.org/10.4269/ajtmh.15-0280

Guyatt G, Rennie D, Meade M, Drummond MD. Users’ guides to the medical literature: Essentials of evidence-based clinical practice. Second edition. New York: American Medical Association, McGraw-Hill Education; 2002. https://doi.org/10.1036/0071590382

Departamento Nacional de Planeación. Fichas de caracterización territorial módulo territorial. Bogotá: Departamento Nacional de Planeación; 2017. Fecha de consulta: 30 de marzo de 2018. Disponible en: https://colaboracion.dnp.gov.co/CDT/Desarrollo%20Territorial/FIT/PDF/81000.pdf

Departamento Nacional de Planeación. Fichas de caracterización territorial Floridablanca. Bogotá, 2017. Fecha de consulta: 30 de marzo de 2018. Disponible en: https://www.dnp.gov.co/programas/desarrollo-territorial/Paginas/Fichas-de-Caracterizacion-Regional.aspx

Pepin KM, Marques-Toledo C, Scherer L, Morais MM, Ellis B, Eiras AE. Cost-effectiveness of novel system of mosquito surveillance and control, Brazil. Emerg Infect Dis. 2013;19:542-50. https://doi.org/10.3201/eid1904.120117

Hendriks ME, Kundu P, Boers AC, Bolarinwa OA, Te Pas MJ, Akande TM, et al. Step-by-step guideline for disease-specific costing studies in low- and middle-income countries: A mixed methodology. Glob Health Action. 2014;7:23573. https://doi.org/10.3402/gha.v7.23573

Johns B, Baltussen R, Hutubessy R. Cost effectiveness and resource programme costs in the economic evaluation of health interventions. Cost Eff Resour Alloc. 2003;1:1. https://doi.org/10.1186/1478-7547-1-1

Salinas-López MA, Soto-Rojas VE, Ocampo CB. Costos de un programa de control del vector Aedes aegypti en municipios de Colombia: el caso de Girón y Guadalajara de Buga, 2016. Cad Saúde Pública. 2018;34:e00044518. https://doi.org/10.1590/0102-311x00044518

World Health Organization. Table: Prices and useful lives of tradable capital goods. Fecha de consulta: 19 de noviembre de 2017. Disponible en: http://www.who.int/choice/costeffectiveness/inputs/capital_goods/en/

Lugnér AK, Mylius SD, Wallinga J. Dynamic versus static models in cost-effectiveness analyses of anti-viral drug therapy to mitigate an influenza pandemic. Health Econ. 2010;19:518-31. https://doi.org/10.1002/hec.1485

de Castro Medeiros LC, Castilho CA, Braga C, de Souza WV, Regis L, Monteiro AM. Modeling the dynamic transmission of dengue fever: Investigating disease persistence. PLoS Negl Trop Dis. 2011;5:1-14. https://doi.org/10.1371/journal.pntd.0000942

Ryder HF, McDonough C, Tosteson AN, Lurie JD. Decision analysis and cost-effectiveness analysis. Semin Spine Surg. 2009;21:216-22. https://doi.org/10.1053/j.semss.2009.08.003

Sachs JD. Macroeconomics and health: Investing in health for economic development: Report of the commission on macroeconomics and health. Nat Med. 2001;8:1-200. https://doi.org/10.1038/nm0602-551b

Baly A, Toledo ME, Lambert I, Benítez E, Rodríguez K, Rodríguez E, et al. Cost of intensive routine control and incremental cost of insecticide-treated curtain deployment in a setting with low Aedes aegypti infestation. Rev Soc Bras Med Trop. 2016;49:418-24. https://doi.org/10.1590/0037-8682-0368-2015

Thalagala N, Tissera H, Palihawadana P, Amarasinghe A, Ambagahawita A, Wilder-Smith A,et al. Costs of dengue control activities and hospitalizations in the public health sector during an epidemic year in urban Sri Lanka. PLoS Negl Trop Dis. 2016;10:1-13. https://doi.org/10.1371/journal.pntd.0004466

Alfonso-Sierra E, Basso C, Beltrán-Ayala E, Mitchell-Foster K, Quintero J, Cortés S, et al. Innovative dengue vector control interventions in Latin America: What do they cost? Pathog Glob Health. 2016;110:14-24. https://doi.org/10.1080/20477724.2016.1142057

Suaya JA, Shepard DS, Chang MS, Caram M, Hoyer S, Socheat D, et al. Cost-effectiveness of annual targeted larviciding campaigns in Cambodia against the dengue vector Aedes aegypti. Trop Med Int Health. 2007;12:1026-36. https://doi.org/10.1111/j.1365-3156.2007.01889.x

Baly A, Toledo ME, Boelaert M, Reyes A, Vanlerberghe V, Ceballos E, et al. Cost effectiveness of Aedes aegypti control programmes: Participatory versus vertical. Trans R Soc Trop Med Hyg. 2007;101:578-86. https://doi.org/10.1016/j.trstmh.2007.01.002

Hanson K, Kikumbih N, Armstrong Schellenberg J, Mponda H, Nathan R, Lake S, et al. Cost-effectiveness of social marketing of insecticide-treated nets for malaria control in the United Republic of Tanzania. Bull World Health Organ. 2003;81:269-76.

Mendoza-Cano O, Hernández-Suárez CM, Trujillo X, Díaz-López HO, Lugo-Radillo A, Espinoza-Gómez F, et al. Cost-effectiveness of the strategies to reduce the incidence of dengue in Colima, México. Int J Environ Res Public Health. 2017;14. https://doi.org/10.3390/ijerph14080890

Tozan Y, Ratanawong P, Louis VR, Kittayapong P, Wilder-Smith A. Use of insecticide-treated school uniforms for prevention of dengue in schoolchildren: A cost-effectiveness analysis. PLoS One. 2014;9:1-9. https://doi.org/10.1371/journal.pone.0108017

World Health Organization. Dengue: Guidelines for diagnosis, treatment, prevention, and control. Geneva: World Health Organization; 2009. p. 147. Fecha de consulta: 29 de diciembre de 2017. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/44188/9789241547871_eng.pdf;jsessionid=C8E3B9C4C8AA3569A0353015DCD389FD?sequence=1

Pacheco O, Martínez M, Alarcón A, Bonilla M, Caycedo A, Valbuena T, et al. Estimación del subregistro de casos de enfermedad por el virus de chikungunya en Girardot, Colombia, noviembre de 2014 a mayo de 2015. Biomédica. 2017;37:507-15. https://doi.org/10.7705/biomedica.v37i4.3370

Constenla D, Armien B, Arreondo J, Carabali M, Carrasquilla G, Castro R, et al. Costing dengue fever cases and outbreaks: Recommendations from a costing Dengue Working Group in the Americas. Value Health Reg Issues. 2015;8:80-91. https://doi.org/10.1016/j.vhri.2015.06.001

Laserna A, Barahona-Correa J, Baquero L, Castañeda-Cardona C, Rosselli D. Economic impact of dengue fever in Latin America and the Caribbean: A systematic review. Rev Panam Salud Pública. 2018;42:e111. https://doi.org/10.26633/RPSP.2018.111

Carrasquilla G. Descentralización, reforma sectorial y control de la malaria en Colombia. En: Yadón ZE, Gürtler RE, Tobar F, Medici AC, editores. Descentralización y gestión del control de las enfermedades transmisibles en América Latina. Washington D.C.: Organización Panamericana de la Salud; 2006.

Kroeger A, Ordóñez-González J, Aviña AI. Malaria control reinvented: Health sector reform and strategy development in Colombia. Trop Med Int Health. 2002;7:450-8. https://doi.org/10.1046/j.1365-3156.2002.00876.x

How to Cite
1.
Salinas MA, Soto VE, Prada SI. Cost-effectiveness analysis of VECTOS software for the control of diseases transmitted by Aedes aegypti in two Colombian municipalities. biomedica [Internet]. 2020 Jun. 15 [cited 2024 May 17];40(2):270-82. Available from: https://revistabiomedica.org/index.php/biomedica/article/view/4658

Some similar items:

Published
2020-06-15
Section
Original articles

Altmetric

Article metrics
Abstract views
Galley vies
PDF Views
HTML views
Other views
Crossref Cited-by logo
QR Code