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.
CITATION STYLE
Modu, B., Asyhari, A. T., Konur, S., & Peng, Y. (2017). An Assessment on the Hidden Ecological Factors of the Incidence of Malaria (p. 131). MDPI AG. https://doi.org/10.3390/is4si-2017-04001
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