Study and ranking of determinants of Taenia solium infections by classification tree models

Mwape, Kabemba E;Phiri, Isaac K;Praet, Nicolas;Dorny, Pierre;Gabriël, Sarah;et.al.
(2015) American Journal of Tropical Medicine and Hygiene — Vol. 92, n° 1, p. 56-63 (2014)

Files

No attached file found for this publication.

Details

Authors
  • Mwape, Kabemba E
    Author
  • Phiri, Isaac K
    Author
  • Praet, Nicolas
    Author
  • Dorny, Pierre
    Author
  • Author
  • Gabriël, Sarah
    Author
Show more
Abstract
Taenia solium taeniasis/cysticercosis is an important public health problem occurring mainly in developing countries. This work aimed to study the determinants of human T. solium infections in the Eastern province of Zambia and rank them in order of importance. A household (HH)-level questionnaire was administered to 680 HHs from 53 villages in two rural districts and the taeniasis and cysticercosis status determined. A classification tree model (CART) was used to define the relative importance and interactions between different predictor variables in their effect on taeniasis and cysticercosis. The Katete study area had a significantly higher taeniasis and cysticercosis prevalence than the Petauke area. The CART analysis for Katete showed that the most important determinant for cysticercosis infections was the number of HH inhabitants (6 to 10) and for taeniasis was the number of HH inhabitants > 6. The most important determinant in Petauke for cysticercosis was the age of head of household > 32 years and for taeniasis it was age < 55 years. The CART analysis showed that the most important determinant for both taeniasis and cysticercosis infections was the number of HH inhabitants (6 to 10) in Katete district and age in Petauke. The results suggest that control measures should target HHs with a high number of inhabitants and older individuals.
Affiliations

Citations

Mwape, K. E., Phiri, I. K., Praet, N., Dorny, P., Muma, J. B., Zulu, G., Speybroeck, N., & Gabriël, S. (2015). Study and ranking of determinants of Taenia solium infections by classification tree models. American Journal of Tropical Medicine and Hygiene, 92(1), 56-63. https://doi.org/10.4269/ajtmh.13-0593 (Original work published 2014)