An Assessment on the Hidden Ecological Factors of the Incidence of Malaria

Babagana Modu, A. Taufiq Asyhari, Savas Konur, Yonghong Peng

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Abstract

Confounding effects of climatic factors temporally contribute to the prevalence of malaria. In this study, we explore a new framework for assessment and identification of hidden ecological factors to the incidence of malaria. A statistical technique, partial least squares path modeling and exploratory factor analysis, is employed to identify hidden ecological factors. Three hidden factors are identified: Factor I is related to minimum temperature and relative humidity, Factor II is related to maximum temperature and solar radiation and Factor III is related to precipitation and wind speed, respectively. Factor I is identified as the most influential hidden ecological factor of malaria incidence in the study area, as evaluated by communality and Dillon-Goldstein’s indices.
Original languageEnglish
Article number131
Number of pages2
JournalProceedings
Volume1
Issue number3
DOIs
Publication statusPublished - 9 Jun 2017
EventIS4SI 2017 Summit Digitalisation for a Sustainable Society - Gothenburg, Sweden
Duration: 12 Jun 201716 Jun 2019

Bibliographical note

This article belongs to the Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY)

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Keywords

  • malaria incidence
  • climatic factors
  • structural equation modeling
  • partial least square model and hidden factors

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