• 1.

    GHO, WHO, 2017. Global Health Observatory (GHO) Data: Infant Mortality. Available at: http://www.who.int/gho/child_health/mortality/neonatal_infant/en/. Accessed October 2018.

  • 2.

    Bryce J, Victora CG, Black RE, 2013. The unfinished agenda in child survival. Lancet 382: 10491059.

  • 3.

    United Nations, 2015. The Millennium Development Goals Report 2015. Available at: http://www.un.org/millenniumgoals/2015_MDG_Report/pdf/MDG%202015%20rev%20(July%201).pdf. Accessed October 2018.

  • 4.

    Arulampalam W, Bhalotra S, 2008. The linked survival prospects of siblings: evidence for the Indian states in population. Popul Stud 62: 171190.

    • Search Google Scholar
    • Export Citation
  • 5.

    Ikamari L, 2000. Sibling mortality correlation in Kenya. J Biosoc Sci 32: 265278.

  • 6.

    Omariba W, Rajulton F, Beaujot R, 2008. Correlated mortality risks of siblings in Kenya: the role of state dependence. Demographic Res 18: 311336.

    • Search Google Scholar
    • Export Citation
  • 7.

    Ranjan M, Dwivedi LK, Mishra R, 2018. Caste differentials in death clustering in central and eastern Indian states. J Biosoc Sci 50: 254274.

  • 8.

    Ronsmans C, 1996. Birth spacing and child survival in rural Senegal. Int J Epidemiol 25: 989997.

  • 9.

    Van Malderen C, Van Oyen H, Speybroeck N, 2013. Contributing determinants of overall and wealth-related inequality in under-5 mortality in 13 African countries. J Epidemiol Community Health 67: 667676.

    • Search Google Scholar
    • Export Citation
  • 10.

    Becher H, Müller O, Jahn A, Gbangou A, Kynast-Wolf G, Kouyaté B, 2004. Risk factors of infant and child mortality in rural Burkina Faso. Bull World Health Organ 82: 265273.

    • Search Google Scholar
    • Export Citation
  • 11.

    Lartey ST, Khanam R, Takahashi S, 2016. The impact of household wealth on child survival in Ghana. J Health Popul Nutr 35: 38.

  • 12.

    Sié A, Louis VR, Gbangou A, Müller O, Niamba L, Stieglbauer G, Ye M, Kouyate B, Sauerborn R, Becher H, 2010. The health and demographic surveillance System (HDSS) in Nouna, Burkina Faso, 1993–2007. Glob Health Action Sep 14; 3.

    • Search Google Scholar
    • Export Citation
  • 13.

    INDEPTH, 2018. An International Network of DSS Sites Involved in Demographic and Health Research in Developing Countries. Available at: http://www.indepth-network.org. Accessed October 2018.

  • 14.

    Sankoh O, Byass P, 2012. The INDEPTH Network: filling vital gaps in global epidemiology. Int J Epidemiol 41: 579588.

  • 15.

    Becher H, Kouyaté B, 2005. Health Research in Developing Countries: A Collaboration between Burkina Faso and Germany. Heidelberg, Germany: Springer.

    • Search Google Scholar
    • Export Citation
  • 16.

    SAS, Copyright © 2013 SAS Institute Inc., Cary, NC.

  • 17.

    Jahn A, Kynast-Wolf G, Kouyaté B, Becher H, 2006. Multiple pregnancy in rural Burkina Faso: frequency, survival, and use of health services. Acta Obstet Gynecol Scand 85: 2632.

    • Search Google Scholar
    • Export Citation
  • 18.

    Kynast-Wolf G, Hammer GP, Müller O, Kouyatü B, Becher H, 2006. Season of death and birth predict patterns of mortality in Burkina Faso. Int J Epidemiol 35: 427435.

    • Search Google Scholar
    • Export Citation
  • 19.

    Hammer GP, Some F, Müller O, Kynast-Wolf G, Kouyatü B, Becher H, 2006. Pattern of cause-specific childhood mortality in a malaria endemic area of Burkina Faso. Malar J 5: 47.

    • Search Google Scholar
    • Export Citation
  • 20.

    Schoeps A, Gabrysch S, Niamba L, Sié A, Becher H, 2011. The effect of distance to health-care facilities on childhood mortality in rural Burkina Faso. Am J Epidemiol 173: 492498.

    • Search Google Scholar
    • Export Citation
  • 21.

    Schoeps A, Kynast-Wolf G, Nesbitt R, Müller O, Sié A, Becher H, 2015. Decreasing disparities in infant survival using surveillance data from Burkina Faso. Am J Trop Med Hyg 92: 10381044.

    • Search Google Scholar
    • Export Citation
  • 22.

    Kuate-Defo B, Diallo K, 2002. Geography of child mortality clustering within African families. Health Place 8: 93117.

  • 23.

    Schoeps A, Souares A, Niamba L, Diboulo E, Kynast-Wolf G, Müller O, Sié A, Becher H, 2014. Childhood mortality and its association with household wealth in rural and semi-urban Burkina Faso. Trans R Soc Trop Med Hyg 108: 639647.

    • Search Google Scholar
    • Export Citation
  • 24.

    Abir T, Agho KE, Page AN, Milton AH, Dibley MJ, 2015. Risk factors for under-5 mortality: evidence from Bangladesh Demographic and Health Survey, 2004–2011. BMJ Open 5: e006722.

    • Search Google Scholar
    • Export Citation
  • 25.

    Mishra R, Ranjan M, 2015. Linkages Among Sibling Survival and Death Clustering in Nigeria: A Panel Data Analysis. Available at: http://uaps2015.princeton.edu/abstracts/151590. Accessed October 2018.

  • 26.

    Edvinsson S, Janssens A, 2012. Clustering of deaths in families: infant and child mortality in historical perspective. Biodemography Soc Biol 58: 7586.

    • Search Google Scholar
    • Export Citation
  • 27.

    van Dijk IK, 2018. Early-life mortality clustering in families: a literature review. Popul Stud (Camb), May 4: 121.

 
 
 
 

 

 
 

 

 

 

 

 

 

Clustering of Infant Mortality Within Families in Rural Burkina Faso

View More View Less
  • 1 Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany;
  • | 2 Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso;
  • | 3 University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany

In this study, we analyze clustering of infant deaths within families living in a rural part of western Burkina Faso. The study included 9,220 infants, born between 1993 and 2009 in Nouna Health and Demographic Surveillance System (HDSS). A clustering of infant deaths in families was explored by calculating observed versus expected number of infant deaths within families for a given family size. In addition, risk ratios were calculated for infant death depending on the vital status of the previous sibling. We observed 470 infant deaths, yielding an overall infant mortality risk of 51/1,000 births. Clustering of infant deaths within families was observed (P = 0.004). In smaller families, the mortality of firstborns was higher than for the following siblings. The infant mortality risk was higher when the preceding sibling died in infancy (P = 0.03). The study supports the hypothesis of infant death clustering existing within rural families in West Africa. Further studies are needed to shed more light on these findings with the goal to develop effective interventions directed toward the families who already lost a child.

Author Notes

Address correspondence to Gisela Kynast-Wolf, Institute of Public Health, University of Heidelberg, Im Neuenheimer Feld 324, Heidelberg D-69120, Germany. E-mail: gisela.kynast-wolf@urz.uni-heidelberg.de

Authors’ addresses: Gisela Kynast-Wolf, Anja Schoeps, Volker Winkler, Gabriele Stieglbauer, and Olaf Müller, Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany, E-mails: gisela.kynast-wolf@urz.uni-heidelberg.de, schoeps@uni-heidelberg.de, v.winkler@uni-heidelberg.de, gabriele.stieglbauer@urz.uni-heidelberg.de, and olaf.mueller@urz.uni-heidelberg.de. Pascal Zabré and Ali Sié, Centre de Recherche en Santé de Nouna (CRSN), Nouna, Burkina Faso, E-mails: erbazson@gmail.com and sieali@crsn-nouna.bf. Heiko Becher, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany, E-mail: h.becher@uke.de.

Reprint requests: Gisela Kynast-Wolf, Heidelberg Institute of Global Health, University of Heidelberg, Im Neuenheimer Feld 324, Heidelberg D-69120, Germany, E-mail: gisela.kynast-wolf@urz.uni-heidelberg.de.

Save