Abstract
One of the priorities of Crimean-Congo hemorrhage fever management has been prevention methods. To apply these methods, understanding of transmission mechanisms and influencing factors is crucial. The main driving factor of Crimean-Congo hemorrhage fever time in a year. Plenty of analysis methods, like time series analysis, have been implemented to assess the relationship of Crimean-Congo hemorrhage fever transmission and time of the year. Nonetheless, the majority of analysis methods for the case lacked robustness. Recently, a circular analysis in general and circular ANOVA, in particular, is gaining acceptance by many academicians to assess scenarios that have circularity in their nature. There are few stochastic circular models, but their applicability and tractability are not fully assessed as for their linear counterpart. We examined circular ANOVA models on Crimean-Congo hemorrhage fever data presented by Dr. Fazilet DUYGU (2013) for Turkish public health organization titled “Dunya ve Turkiye’de Kirim-Kongo kanamali atesi epidemiyolojisi” to mean “Crimean-Congo hemorrhagic fever epidemiology in the world and Turkey.” Circular ANOVA method is used to assess the occurrence of the fever in different years. We transformed linear time in months to circular time and convert it to radian form since directional analysis is best suited to radian measures. We used Crimean-Congo hemorrhage fever cases in each month as a dependent linear variable and time in radian as the circular explanatory variable. We have calculated different descriptive statistics for the data and apply circular ANOVA on them and found very sensible methods with few drawbacks.
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