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Biomédica

Print version ISSN 0120-4157

Biomédica vol.38 no.4 Bogotá Oct./Dec. 2018

https://doi.org/10.7705/biomedica.v38i4.4062 

ARTÍCULO ORIGINAL

Inequalities on mortality due to acute respiratory infection in children: A Colombian analysis

Desigualdades en la mortalidad debidas a la infección respiratoria aguda en niños: análisis de la situación en Colombia

Nelson Jose Alvis-Zakzuk1  2  * 

Carlos Castañeda-Orjuela1 

Diana Díaz-Jiménez1 

Liliana Castillo-Rodríguez1 

Karol Patricia Cotes1 

Pablo Chaparro1 

Ángel José Paternina-Caicedo3 

Nelson Rafael Alvis-Guzmán4 

Fernando Pío De la Hoz5 

1 Observatorio Nacional de Salud, Instituto Nacional de Salud, Bogotá, D.C., Colombia

2 Departamento de Gestión Organizacional, Universidad de la Costa, Barranquilla, Colombia

3 Grupo de Investigación en Economía de la Salud, Universidad de Cartagena, Cartagena, Colombia

4 Grupo de Investigación en Gestión Hospitalaria y Políticas de Salud, Universidad de la Costa, Barranquilla, Colombia

5 Grupo de Epidemiología y Evaluación en Salud Pública, Universidad Nacional de Colombia, Bogotá, D.C., Colombia


Abstract

Introduction:

Acute respiratory infections (ARI) are a leading public health issue worldwide.

Objective:

To explore the inequalities in ARI mortality rates in under-5, according to socioeconomic characteristics.

Materials and methods:

We conducted an ecological analysis to study inequalities at municipal level due to ARI mortality in children under 5 years. The data were obtained from official death records of the Departamento Administrativo Nacional de Estadística. The analysis of inequalities in the under-5 mortality rate (U5MR) included: 1) Classification of the population in different socio-economic strata, and 2) measurement of the degree of inequality. We used the ARI-U5MR as an outcome measurement. The mortality rates were estimated at national and municipal levels for the years 2000, 2005, 2010, and 2013. Rate ratios, rates differences, and concentration curves were calculated to observe the inequalities.

Results:

A total of 18,012 children under 5 years died by ARI in Colombia from 2000 to 2013. ARIU5MR was greater in boys than in girls. During this period, an increase in the infant mortality relative gap in both boys and girls was observed. In 2013, the U5MR evidenced that for boys from municipalities with the highest poverty had a 1.6-fold risk to die than those in municipalities with the lowest poverty (low tercile). In girls, the ARI-U5MR for 2005 and 2013 in the poorest tercile was 1.5 and 2 times greater than in the first tercile, respectively.

Conclusion:

Colombian inequalities in the ARI mortality rate among the poorest municipalities compared to the richest ones continue to be a major challenge in public health.

Keywords: Infant mortality; respiratory tract infections; healthcare disparities; socioeconomic factors; poverty; child; Colombia

Resumen

Introducción.

Las infecciones respiratorias agudas (IRA) son un importante problema de salud pública a nivel mundial.

Objetivo.

Explorar las desigualdades de la tasa de mortalidad debida a IRA en niños menores de 5 años según las variables socioeconómicas.

Materiales y métodos.

Se hizo un análisis ecológico para estudiar las desigualdades a nivel municipal de las tasas de mortalidad por IRA en menores de 5 años. Los datos se obtuvieron a partir de los registros de muertes del Departamento Administrativo Nacional de Estadística. El análisis de desigualdades incluyó la clasificación de la población por estatus socioeconómico y la medición del grado de desigualdad. Como resultado en salud se utilizó la tasa de mortalidad por IRA en menores de 5 años. Se estimaron tasas a nivel nacional y municipal para 2000, 2005, 2010 y 2013. Se calcularon razones y diferencias de tasas y curvas de concentración para observar las desigualdades.

Resultados.

Entre 2000 y 2013 murieron por IRA en Colombia 18.012 menores de 5 años. La tasa de mortalidad por ARI fue mayor en niños que en niñas. En el periodo, se observó un incremento en la brecha de mortalidad infantil en ambos sexos. En el 2013, la tasa de niños que murieron en municipios con mayor pobreza fue 1,6 veces mayor que la de niños en aquellos con menos pobreza. En niñas, en el 2005 y el 2013, la tasa en el tercil más pobre fue 1,5 y 2 veces mayor que la del primer tercil, respectivamente.

Conclusión.

Las desigualdades en la tasa de mortalidad por IRA de los municipios más pobres en comparación con la de los más ricos, continúan siendo un reto importante en salud pública.

Palabras clave: mortalidad infantil; infecciones del sistema respiratorio; disparidades en atención de salud; factores socioeconómicos; pobreza; niño; Colombia

The decline of the under-5 mortality rate (U5MR) worldwide has been one of the public health successes of the last five decades 1,2. Despite this, some countries have experienced stepped increases in the U5MR, making it an important source of inequity in countries worldwide 1,2.

Acute respiratory infections (ARI) are a major cause of morbidity and mortality in children, especially in low-income countries 2-4. Around 1.9 million children die annually as a result of ARI, 70% of them in Africa and Southeast Asia 5. ARI is among the top three causes of mortality in children under-5 years 6-8.

In Colombia, as in most Latin American countries, the infant mortality rate (MR) has declined in recent years 9: while in 2005 the infant MR was 20.4 per 1,000 live births, in 2013 it was 17.5. Although the recent gains in overall health are encouraging, some Colombian regions have not benefitted, and inequality remains a major concern. For example, in Amazonas, a rural department, the rate of death in infants has increased 4-fold compared to the department with the lowest mortality (Quindío) 10.

The Instituto Nacional de Salud reported in all age groups 5.5 million ARI outpatient and emergency consultations in 2015, 200,000 hospitalizations for severe ARI, and 13,000 critical care admissions 11. The U5MR for ARI in Colombia was 12.1 per 100,000 children in 2015 7.

Over the last decades, the socioeconomic conditions of Colombia have improved and, therefore, the evaluation of the effects on inequality in mortality and its main causes is useful 12. The World Bank reported poverty, measured as populations living with less than $1.9 a day (purchasing power parity dollars), as 16.4% in 2000 and 5.7% in 2013. Also, the Gini index has gone from 58.7 to 52.9, during the same time frame 12.

Several studies have estimated the impact of socioeconomic inequalities as determinants of population health, including some theoretical approaches that have sought to explain the potential effect of inequalities on various health outcomes 13-15. Infant mortality rate, as a main health outcome, has been traditionally used as an indicator to measure human development 16,17.

Most of the research on health inequalities in Colombia has not analyzed the relationship between inequalities in child mortality due to ARI and socioeconomic status. Thus, the aim of the present study was to explore the inequalities in the U5MR due to ARI by sex for the years 2000, 2005, 2010, and 2013 according to some of the socioeconomic characteristics of the Colombian population.

Materials and methods

Study design and population

We designed and carried out an ecological analysis to describe the inequalities at the national and municipal level in ARI-related U5MR in Colombia. Colombia has 32 departments, one capital district, 1,101 municipalities, and 21 non-municipalized areas 18. The country has high social and economic inequalities 19. Between 2002 and 2012 the incidence of poverty at the national level decreased from 49.7 to 32.7%, and the Gini coefficient fell from 0.572 to 0.539 20.

Variables

We obtained data from official death records of the Departamento Administrativo Nacional de Estadística (DANE), which collects, cleans and disposes vital statistics in Colombia 21. We gathered death data in the under-5-year-old population with the International Classification of Diseases (ICD-10) codes J09-J11, J12, J13, J14, J15-J22, J85, and P23, stratified by sex. We excluded from the analysis deaths with no information about sex, age or geographical location. We did not adjust for underreporting of mortality. The population data was extracted from projections based on the 2005 Colombian census 22.

We included the Unmet Basic Needs Index (UNI) and the Multidimensional Poverty Index (MPI), both reported by municipalities in the DANE’s records for 2011. The NBI is a proxy of poverty in the population including inadequate housing, overcrowded housing, substandard housing, economically highly dependent housing, and homes with school-aged children who do not attend school, and it is reported as the percentage of households in poverty 23. The MPI measures different aspects of households living conditions and it is a complementary measure to obtain an overview of poverty in the country (educational conditions of the home, conditions of children and youth, health, work and access to public services and housing conditions) 24. The MPI is also reported as the percentage of households living in poverty.

Data analysis

Data gathering and analysis were done in Microsoft Excel™, Stata 12™ (Stata Corporation, College Station, TX, USA) and the R programming software. All analyses were stratified in boys and girls.

The analysis of inequalities in the U5MR included: 1) Classification of the population in different poverty indexes (NBI), and 2) measurement of the degree of inequality 25,26. We used the ARIU5MR as an outcome measurement. The mortality rates were estimated at the national and municipal levels for the years 2000, 2005, 2010 and 2013 in order to show the change in inequality over time.

To measure the degree of inequality, we used simple and complex epidemiological measures based on methods developed by Mackenbach, et al. 27 and Schneider, et al. 28 mainly rate ratios (RR), rate differences (RD), and concentration curves 29. The ARI-related mortality RRs and RDs at municipal level were estimated according to NBI terciles. The RR compares the U5MR with high and low socioeconomic status 28,30, as well as the absolute variation of health results in U5MR in territories with high and low socioeconomic status 28,30.

Finally, we built concentration curves to visualize inequalities by ordering the outcome according to the socioeconomic status from the most to the least vulnerable. If the health outcome is equally distributed across the population, the concentration curve will coincide with a 45-degree diagonal 30. For the present study, ARI deaths were ordered according to the MPI from the poorest to the richest municipalities.

Results

In Colombia, 2,720,653 all-cause deaths occurred in all age groups between 2000 and 2013, 185,153 of them in children under-5 years and 9.7 % (18,012) of these were caused by ARI; 26 (0.5%) deaths were excluded for the years 2000, 2005, 2010, and 2013 because of the lack of information. Table 1 shows a breakdown of the characteristics of the population and the deaths in Colombia over the period.

Table 1 Characteristics of the population and deaths in Colombia in 2000, 2005, 2010 and 2013 

Figure 1 shows that the ARI-related U5MR was greater in boys than in girls. In 2000, ARI-related U5MR was 49.9 per 100,000 inhabitants (95% CI: 40.1-59.7) for boys and 45.2 (95% CI: 31.4-59.1) for girls. In 2013, a remarkable decrease was observed on U5MR by sex. The RD in ARI-related U5MR between boys and girls was 4.7 deaths per 100,000 inhabitants in 2000, decreasing to 2.6 deaths per 100,000 inhabitants in 2013 (table 1).

Figure 1 ARI mortality rate by sex in children under 5 years per 100,000 children under 5 years. 

From 2000 to 2013, we observed an increase in the ARI-related U5MR mortality relative gap in boys and girls. Inequality gaps (i.e., ratios of mortality rates) and municipal ARI-related U5MR are shown in figure 2.

Figure 2 Children under 5 years mortality rate and ratios of mortality rates caused by ARI according to municipal terciles of poverty (NBI) and sex 

In 2013, the risk of deathin boys under 5 years in municipalities with the highest poverty (high tercile) had an increase of 1.6, compared to those in municipalities with the lowest poverty (low tercile). In girls, for 2005 and 2013 the ARI-related U5MR in the poorest tercile (high tercile) was 1.5 and 2 times greater than the first tercile (low UNI tercile), respectively (figure 2).

When analyzing the distribution of ARI deaths in boys and girls with the concentration curves for the period 2011-2013 (figure 3), we found that 52% of ARI deaths in boys were concentrated in 15% of the population with the highest MPI (the poorest). In girls, 52% of deaths occurred in 22% of the poorest population measured by the MPI.

Figure 3 Concentration curve for municipal ARI deaths in children under 5 years according to the multidimensional poverty index (Colombia, 2011-2013) 

Discussion

The present study is one of the first to describe the socioeconomic inequalities in ARI-U5MR in Colombia. Studying infant mortality in developing countries is important and necessary, especially because infants are more vulnerable to suffering from ARI. Infant mortality is an indicator of the economic and social conditions of a country, as well as its health system’s efficiency 31,32. We observed how, in spite of a decrease in the national ARI-U5MR trend in both sexes, important inequalities persist in Colombia between the poorest and richest municipalities. However, a slight fall in the absolute gap of mortality rates due to ARI between boys and girls was also evident.

The decreasing trend in the national ARI mortality could be related to improvements in the health system and new public policies. Several initiatives sponsored by the Colombian Presidency have primarily targeted families living in poverty. For instance, the Familias en Acción program has improved nutrition status in poor children under 18 years by fostering nutritional and health care habits, as well as the nutritional monitoring of children by means of conditional transfers 9.

In terms of policies focused on improving and maintaining the health of children and reducing inequality gaps, Colombia has developed strategies to improve infant health, such as the National Health Plan for 2007-2010 33, which was followed by the Decennial Public Health Plan 2012-2021 9.The component of integral and differential care for children and adolescents in these plans is intended to reduce the adjusted national infant mortality rate and progressively reduce barriers to access health services for children and adolescents in order to reduce inequities 9. Also, pneumococcal, Haemophilus influenzae type b, and pertussis (for pregnant women) vaccines have been introduced in the expanded program of immunization since 2001 34-36, measures that may explain the reduction in the general national ARI-U5MR trend.

Social inequality is the new challenge for Colombian decision makers.The municipal ARI-U5MR analysis for poverty showed that the relationship between the socioeconomic level and ARI deaths is evident. The rate ratios analysis indicated how ARI-U5MR is higher in boys, but inequalities among girls increased during the study period. Previous studies have shown that boys die more than girls from a wide array of underlying conditions (RR=1.44; 95% CI: 1.44-1.45) 37. As stated in its Decennial Public Health Plan, Colombia aims at increasing the availability of information and evidence on social and economic inequalities and health inequities to guide policies and interventions in vulnerable territories and groups by 2021 38.

Mortality due to ARI is a tracer indicator of social inequalities. Epidemiological studies have shown that the population health presents a strong social gradient, invariably unfavorable to the socially less favored groups 39. Studies in Chile and Brazil on inequalities in infant mortality according to socioeconomic indicators have shown similar results to those from our study 40,41. For instance, in Chile, Frenz, et al., observed a clear gradient of infant mortality rates according to the number of years of maternal education taken as a socioeconomic variable from 1998 to 2000 and from 2001 to 2003 40. Also, in a multi-country analysis developed by McKinnon, et al., the wealth-related inequality increased by more than 1.5 neonatal deaths per 1,000 livebirths per year in Ethiopia and Cambodia 42.

Colombia is a country with very serious economic inequalities. However, it is not easy to show inequalities in health. In our study, we were able to explore ARI mortality inequalities in children under 5 using socioeconomic variables such as the NBI or the MPI. Even though our results should be interpreted with caution 43, they are important to study health inequities in one of the most unequal countries in Latin America.

This work poses great challenges for public policies aimed at reducing inequalities in ARI mortality in children under 5 in Colombia. It would be expected that management-aimed improvements to strengthen health institutions and services would prevent deaths in children. The ARI MR inequalities in the poorest municipalities compared with the richest continue to be a major public health challenge for the country.

Our analysis has limitations. First, the quality of the data: the DANE’s vital statistics should be used with caution because in some territories results are underestimated as they do not take into account possible omissions of vital events occurring outside the health system. Thus, our results could have also underestimated the mortality rates measured with inequality indexes, especially in the poorest municipalities, where under reported data are most likely.

Second, we did not consider the under-registration of births and deaths in some municipalities due to dispersion in the territory, or lack of reporting due to cultural factors, nor the fact that there are health institutions that do not regularly report the vital facts 44. Nevertheless, data on economic variables and deaths for the entire timeframe are available aggregated by municipalities. As in most ecological studies, we assumed that inferences made at the general level would apply to individuals 9,45.

The main strength of the study resided in the analysis of ARI mortality inequalities at the municipal level, which is more disaggregated than the usual mortality analyses in Colombia. Likewise, the time period analyzed allowed us to observe significant changes in mortality from ARI in children under 5.

In conclusion, although ARI mortality rates in children under 5 decreased during the study period, the ARI mortality gap has increased among Colombian municipalities and this continues to be a huge challenge for Colombian stakeholders. The next step in our work is to understand why ARIrelated U5MR inequalities have increased in some territories

References

1. Ahmad OB, López AD, Inoue M. The decline in child mortality: A reappraisal. Bull World Health Organ. 2000;78:1175-91. [ Links ]

2. Williams BG, Gouws E, Boschi-Pinto C, Bryce J, Dye C. Estimates of world-wide distribution of child deaths from acute respiratory infections. Lancet Infect Dis. 2002;2:25-32. https://doi.org/10.1016/S1473-3099(01)00170-0Links ]

3. Nair H, Nokes DJ, Gessner BD, Dherani M, Madhi SA, Singleton RJ, et al. Global burden of acute lower respiratory infections due to respiratory syncytial virus in young children: A systematic review and meta-analysis. Lancet. 2010;375:1545-55. https://doi.org/10.1016/S0140-6736(10)60206-1Links ]

4. World Health Organization. Acute respiratory infections in children: Case management in small hospitals in developing countries. A manual for doctors and other Senior Heath Workers. Geneva: WHO; 1994. [ Links ]

5. Anders KL, Nguyen HL, Nguyen NM, van Thuy NT, Hong Van NT, Hieu NT, et al. Epidemiology and virology of acute respiratory infections during the first year of life: A birth cohort study in Vietnam. Pediatr Infect Dis J. 2015;34:361-70. https://doi.org/10.1097/INF.0000000000000643Links ]

6. GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: A systematic analysis for the Global Burden of Disease Study 2015.Lancet. 2016;388:1459-544. https://doi.org/10.1016/S0140-6736(16)31012-1Links ]

7. Instituto Nacional de Salud. Infección Respiratoria Aguda (IRA). Protocolo de Vigilancia en Salud Pública. Versión 05. 2016. Accessed on: October 3, 2016. Available from: Available from: http://www.ins.gov.co/lineas-de-accion/Subdireccion-Vigilancia/sivigila/Protocolos SIVIGILA/PRO Infeccion RespiratoriaAguda IRA.pdfLinks ]

8. Álvarez-Castelló M, Castro-Almarales R, Abdo-Rodríguez A, Orta-Hernández SD, Gómez-Martínez M, Álvarez-Castelló M del P. Infecciones respiratorias altas recurrentes: algunas consideraciones. Rev Cuba Med Gen Integr. 2008;24. [ Links ]

9. Alvis-Zakzuk N, Paternina-Caicedo Á, Carrasquilla- Sotomayor M, De La Hoz-Restrepo F, Alvis-Guzmán N. Desigualdades de mortalidad infantil y pobreza en Colombia: análisis inter-censal (1993 y 2005). Revista Ciencias Biomédicas. 2015;6:29-37. [ Links ]

10. Departamento Administrativo Nacional de Estadística - DANE. Estimación de mortalidad infantil 2015. Accessed on: June 2, 2016. Available from: Available from: http://www.dane.gov.co/files/investigaciones/poblacion/vitales/Pres_TMI_DCD_2013 . [ Links ]

11. Instituto Nacional de Salud. Informe final del evento infección respiratoria aguda, Colombia 2015. Accessed on: October 28, 2016. Available from: Available from: http://www.ins.gov.co/lineas-de-accion/Subdireccion-Vigilancia/Informe de Evento Epidemiolgico/IRA 2015.pdfLinks ]

12. World Bank. World Development Indicators. World Development Indicators. Washington, D.C.: World Bank Group; 2017. [ Links ]

13. Waldmann RJ. Income distribution and infant mortality. Q J Econ. 1992;107:1283-302. [ Links ]

14. Wagstaff A, van Doorslaer E. Income inequality and health: What does the literature tell us? Annu Rev Public Health. 2000;21:543-67. https://doi.org/10.1146/annurev.publhealth.21.1.543Links ]

15. Subramanian SV, Kawachi I. Income inequality and health: What have we learned so far? Epidemiol Rev. 2004;26:78-91. https://doi.org/10.1093/epirev/mxh003Links ]

16. Wagstaff A. Desigualdades socioeconómicas y mortalidad infantil: comparación de nueve países en desarrollo. Boletín de la Organización Mundial de la Salud. 2000;3:18-28. [ Links ]

17. Arik H, Arik M. Is it economic growth or socioeconomic development?: A cross-sectional analysis of the determinants of infant mortality. J Dev Areas. 2009;42:31-55. [ Links ]

18. Departamento Administrativo Nacional de Estadística - DANE. Codificación de la división político-administrativa de Colombia (Divipola). 2016. Accessed on: July 18, 2016. Available from: Available from: http://geoportal.dane.gov.co:8084/Divipola/Links ]

19. Banco de la República. PIB. Metodología año base 2005 Banco de la República (Banco Central de Colombia). Accessed on: July 18, 2016. Available from: Available from: http://www.banrep.gov.co/es/pibLinks ]

20. Departamento Administrativo Nacional de Estadística - DANE. Pobreza y condiciones de vida. Cifras departamentales de pobreza monetaria y desigualdad. Accessed on: July 18, 2016. Available from: Available from: https://www.google.com.co/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiyjuHDrP3NAhWGpB4KHYC0AyAQFggaMAA&url=http%3A%2F%2Fwww.dane.gov.co%2Ffiles%2Finvestigaciones%2Fcondiciones_vida%2Fpobreza%2Fanexos_pobreza_departamentos_2012.xls&usg=AFQjCNGXV-DLinks ]

21. Departamento Administrativo Nacional de Estadística - DANE. Estadísticas vitales. Nacimientos y defunciones. Accessed on: July 18, 2016. Available from: Available from: http://www.dane.gov.co/index.php/poblacion-y-registros-vitales/nacimientos-y-defunciones/nacimientos-y-defuncionesLinks ]

22. Departamento Administrativo Nacional de Estadística - DANE. Estadísticas por tema. Demografía y población. Accessed on: October 3, 2016. Available from: Available from: http://www.dane.gov.co/index.php/estadisticas-por-tema/demografiay-poblacionLinks ]

23. Departamento Administrativo Nacional de Estadística - DANE. Necesidades básicas insatisfechas (NBI). 2016. Accessed on: October 3, 2016. Available from: Available from: https://www.dane.gov.co/index.php/estadisticas-por-tema/pobreza-ycondiciones-de-vida/necesidades-basicas-insatisfechasnbiLinks ]

24. Departamento Administrativo Nacional de Estadística - DANE. Pobreza monetaria y multidimensional en Colombia 2015. Accessed on: October 3, 2016. Available from: Available from: http://www.dane.gov.co/files/investigaciones/condiciones_vida/pobreza/bol_pobreza_15_.pdfLinks ]

25. Zere E, Tumusiime P, Walker O, Kirigia J, Mwikisa C, Mbeeli T. Inequities in utilization of maternal health interventions in Namibia: Implications for progress towards MDG 5 targets. Int J Equity Health. 2010;9:1. https://doi.org/10.1186/1475-9276-9-16Links ]

26. Zere E, Kirigia JM, Duale S, Akazili J. Inequities in maternal and child health outcomes and interventions in Ghana. BMC Public Health. 2012;12:1. https://doi.org/10.1186/1471-2458-12-252Links ]

27. Mackenbach JP, Kunst AE. Measuring the magnitude of socio-economic inequalities in health: An overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997;44:757-71. https://doi.org/10.1016/S0277-9536(96)00073-1Links ]

28. Schneider MC, Castillo-Salgado C, Bacallao J, Loyola E, Mujica OJ, Vidaurre M, et al. Métodos de medición de las desigualdades de salud. Rev Panam Salud Pública. 2002;12:398-414. https://doi.org/10.1590/S1020-49892002 001200006Links ]

29. Organización Panamericana de la Salud. Manual para el monitoreo de las desigualdades en salud, con especial énfasis en países de ingresos medianos y bajos. Washington, D.C.: OPS; 2016. [ Links ]

30. Wagstaff A, Paci P, van Doorslaer E. On the measurement of inequalities in health. Soc Sci Med. 1991;33:545-57. https://doi.org/10.1016/0277-9536(91)90212-ULinks ]

31. Organisation for Economic Co-operation and Development - OECD. OECD Factbook 2011-2012: Economic, environmental and social statistics. Paris Organ Econ Co-operation Dev. 2011;1:268. https://doi.org/10.1787/factbook-2015-enLinks ]

32. Khadka KB, Lieberman LS, Giedraitis V, Bhatta L, Pan dey G. The socio-economic determinants of infant mortality in Nepal: Analysis of Nepal Demographic Health Survey, 2011. BMC Pediatr. 2015;15:152. https://doi.org/10.1186/s12887-015-0468-7Links ]

33. Ministerio de la Protección Social. Plan Nacional de Salud Pública. Bogotá, D.C.: Ministerio de la Protección Social; 2007. [ Links ]

34. Castañeda-Orjuela C, Alvis-Guzmán N, Velandia-González M, De la Hoz-Restrepo F. Cost-effectiveness of pneumococcal conjugate vaccines of 7, 10, and 13 valences in Colombian children. Vaccine. 2012;30:1936-43. https://doi.org/10.1016/j.vaccine.2012.01.031Links ]

35. Álvis-Guzmán N, De la Hoz F. Cost effectiveness of heptavalent pneumococcal conjugate vaccine in populations of high risk in Colombia. Colomb Med. 2010;41:315-22. [ Links ]

36. Guzmán NA, De la Hoz-Restrepo F, Consuelo DV. The cost-effectiveness of Haemophilus influenzae type b vaccine for children under 2 years of age in Colombia. Rev Panam Salud Pública. 2006;20:248-55. [ Links ]

37. Balsara SL, Faerber JA, Spinner NB, Feudtner C, Tatter D. Pediatric mortality in males versus females in the United States, 1999-2008. Pediatrics. 2013;132:631-8. https://doi.org/10.1542/peds.2013-0339Links ]

38. Ministerio de Salud y Protección Social. Plan Decenal de Salud Pública, PDSP, 2012 - 2021. 2013. Accessed on: July 18, 2016. Available from: Available from: https://www.minsalud. gov.co/Documentos%20y%20Publicaciones/Plan%20 Decenal%20-%20Documento%20en%20consulta%20 para%20aprobaci%C3%B3n.pdfLinks ]

39. Szwarcwald CL, Bastos FI, Andrade CLT de. Medidas de desigualdad en salud: la discusión de algunos aspectos metodológicos con una aplicación para la mortalidad neonatal en el Municipio de Rio de Janeiro, 2000. Cad Saúde Pública. 2002 ;18:959-70. https://doi.org/10.1590/S0102-311X2002000400005Links ]

40. Frenz P, González C. Aplicación de una aproximación metodológica simple para el análisis de las desigualdades: el caso de la mortalidad infantil en Chile. Rev Med Chil. 2010;138:1157-64. https://doi.org/10.4067/S0034-98872010000900012Links ]

41. Barros FC, Matijasevich A, Requejo JH, Giugliani E, Maranhao AG, Monteiro CA, et al. Recent trends in maternal, newborn, and child health in Brazil: Progress toward Millennium Development Goals 4 and 5. Am J Public Health. 2010;100:1877-89. https://doi.org/10.2105/AJPH.2010.196816Links ]

42. McKinnon B, Harper S, Kaufman JS, Bergevin Y. Socioeconomic inequality in neonatal mortality in countries of low and middle income: A multicountry analysis. Lancet Glob Health.2014;2:165-73. https://doi.org/10.1016/S2214-109X(14)70008-7Links ]

43. Chaparro-Narváez P, León-Quevedo W, Castañeda-Orjuela CA. Comportamiento de la mortalidad por dengue en Colombia entre 1985 y 2012. Biomédica. 2016;36:125-34. https://doi.org/10.7705/biomedica.v36i0.3009Links ]

44. Departamento Administrativo Nacional de Estadística - DANE. Nota metodológica. Cambio de la mortalidad infantil en la línea base 2005. 2012 Accessed on: October 13, 2016. Available from: Available from: https://www.dane.gov.co/files/investigaciones/poblacion/vitales/nota_metodologica.pdfLinks ]

45. Sedgwick P. Understanding the ecological fallacy. BMJ. 2015;351:h4773. https://doi.org/10.1136/bmj.h4773Links ]

Author’s contributions: Nelson José Alvis-Zakzuk, Carlos Andrés Castañeda-Orjuela, Karol Cotes, Pablo Chaparro, Nelson Rafael Alvis-Guzmán and Fernando Pío De la Hoz: Study concept and design Diana Díaz, Liliana Castillo, Nelson José Alvis-Zakzuk and Ángel José Paternina-Caicedo: Collection and organization of the mortality data Nelson José Alvis-Zakzuk and Carlos Castañeda-Orjuela: Data interpretation The manuscript was written and discussed by all the authors.

Funding Regular budget of the Observatorio Nacional de Salud, Instituto Nacional de Salud

*Corresponding author: Nelson J. Alvis-Zakzuk, Observatorio Nacional de Salud, Instituto Nacional de Salud, Avenida calle 26 No 51-20, zona 6 CAN, Bogotá, D.C., Colombia Telephone: (571) 220 7700, extension 1389 alviszakzuk@gmail.com

Conflicts of interest

All authors declare that they have no conflicts of interest

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