Decreasing Disparities in Infant Survival Using Surveillance Data from Burkina Faso

Anja Schoeps Institute of Public Health, University of Heidelberg, Heidelberg, Germany; Centre de Recherche on Santé de Nouna (CRSN), Nouna, Burkina Faso; University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

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Gisela Kynast-Wolf Institute of Public Health, University of Heidelberg, Heidelberg, Germany; Centre de Recherche on Santé de Nouna (CRSN), Nouna, Burkina Faso; University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

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Robin C. Nesbitt Institute of Public Health, University of Heidelberg, Heidelberg, Germany; Centre de Recherche on Santé de Nouna (CRSN), Nouna, Burkina Faso; University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

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Olaf Müller Institute of Public Health, University of Heidelberg, Heidelberg, Germany; Centre de Recherche on Santé de Nouna (CRSN), Nouna, Burkina Faso; University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

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Ali Sié Institute of Public Health, University of Heidelberg, Heidelberg, Germany; Centre de Recherche on Santé de Nouna (CRSN), Nouna, Burkina Faso; University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

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Heiko Becher Institute of Public Health, University of Heidelberg, Heidelberg, Germany; Centre de Recherche on Santé de Nouna (CRSN), Nouna, Burkina Faso; University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

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We assessed changes in the effect size of risk factors for infant mortality comparing a birth cohort from 2005 to 2010 with a birth cohort from 1993 to 1999 in the Nouna Health and Demographic Surveillance System (HDSS) in Burkina Faso. Single- and three-level Cox proportional hazards regression models were used for analysis. Independent variables among others included year of birth, ethnicity, religion, age of the mother, birth order, death of the mother, being a twin, and distance to the closest health facility. We observed an infant mortality rate of about 51/1,000 person-years. The strongest risk factors were death of the mother and being a twin, which were also the strongest risk factors from the previous analysis period. Compared with the period 1993–1999, the effect of most risk factors decreased, notably ethnicity, religious affiliation, distance to the closest health facility, birth order, and season of birth. The strongest reduction in mortality occurred in the groups with the previously highest infant mortality rates in 1993–1999.

Author Notes

* Address correspondence to Anja Schoeps, Im Neuenheimer Feld 324, 69120 Heidelberg, Germany. E-mail: schoeps@uni-heidelberg.de

Financial support: This study was supported by the European Union under the title “Optimising the impact and cost-effectiveness of child health intervention programmes of vaccines and micronutrients in low-income countries (OPTIMUNISE),” grant number FP7-HEALTH-F3-2011-261375.

Authors' addresses: Anja Schoeps, Gisela Kynast-Wolf, Robin C. Nesbitt, Olaf Müller, and Heiko Becher, Institute of Public Health, University of Heidelberg, Heidelberg, Germany, E-mails: schoeps@uni-heidelberg.de, gisela.kynast-wolf@urz.uni-heidelberg.de, r.nesbitt@uni-heidelberg.de, olaf.mueller@urz.uni-heidelberg.de, and heiko.becher@urz.uni-heidelberg.de. Ali Sié, Centre de Recherche on Santé de Nouna (CRSN), Nouna, Burkina Faso, E-mail: alisie.crsn@fasonet.bf.

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