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Neighbourhood child population density as a proxy measure for exposure to respiratory infections in the first year of life: A validation study

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  • Judith E Lupatsch
  • Christian Kreis
  • Insa Korten
  • Philipp Latzin
  • Urs Frey
  • Claudia E Kuehni
  • Ben D Spycher

Abstract

Background: Assessing exposure to infections in early childhood is of interest in many epidemiological investigations. Because exposure to infections is difficult to measure directly, epidemiological studies have used surrogate measures available from routine data such as birth order and population density. However, the association between population density and exposure to infections is unclear. We assessed whether neighbourhood child population density is associated with respiratory infections in infants. Methods: With the Basel-Bern lung infant development study (BILD), a prospective Swiss cohort study of healthy neonates, respiratory symptoms and infections were assessed by weekly telephone interviews with the mother throughout the first year of life. Using population census data, we calculated neighbourhood child density as the number of children

Suggested Citation

  • Judith E Lupatsch & Christian Kreis & Insa Korten & Philipp Latzin & Urs Frey & Claudia E Kuehni & Ben D Spycher, 2018. "Neighbourhood child population density as a proxy measure for exposure to respiratory infections in the first year of life: A validation study," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-13, September.
    • Handle: RePEc:plo:pone00:0203743
    DOI: 10.1371/journal.pone.0203743
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