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Research Article · Open access · Published 4 March 2024

A Path Analysis to Understanding the Epidemiology of Murine Typhus in South Texas

Hongwei Wang1, Orlando M. Patricio2, Fernando G. Quintana3, Rohitha Goonatilake1, Amelia Solis4 & Raonaq I. Mia4

Journal of Mathematics and Statistics, Volume 20, Issue 1, pp. 37–44 · doi.org/10.3844/jmssp.2024.37.44

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Abstract

This study aims to investigate statistically if there is a causality for the murine typhus endemic disease related to precipitation, temperature and the natural cycle of flea development in South Texas. Path analysis was used to determine the mediating and moderating variables that cause murine typhus disease. Three path diagram models were tested. Model 3 shows a clearer path on how the Rickettsia fleas were transmitted to the patients or subject, where rate of flea development is a mediating variable between sources of transmission and disease contraction, whereas precipitation moderates the source of transmission on its effect on rate of flea development with fleas in the environment and temperature average as covariates. The results of the path analysis support this hypothesis. Graphical research indicates that the number of murine typhus cases reaches a maximum during the month of May, when the temperature is between 65-80°F with about 70% humidity for flea development and the precipitation increases the probability that bacteria, fleas and hosts get into contact with humans. The results of this research suggest that the Laredo population should be made aware that the presence of rickettsia-infected Xenopsyllia cheopis and Ctenocephalides felis, the development of environmental conditions that increase the possibility of contact of wild and domestic animals with human beings can also increase the possibilities of the manifestation of the disease.

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Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

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Wang, H., Patricio, O. M., Quintana, F. G., Goonatilake, R., Solis, A. & Mia, R. I. (2024). A Path Analysis to Understanding the Epidemiology of Murine Typhus in South Texas. Journal of Mathematics and Statistics, 20(1), 37–44. https://doi.org/10.3844/jmssp.2024.37.44

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A Path Analysis to Understanding the Epidemiology of Murine Typhus in South TexasJournal of Mathematics and Statistics · Volume 20, Issue 1 · pp. 37–44 · CC BY 4.0Download