Version 1
: Received: 4 July 2024 / Approved: 5 July 2024 / Online: 5 July 2024 (09:34:08 CEST)
How to cite:
Costa, N. S. S. D.; Lima, M. D. C. S. D.; Cordeiro, G. M. A Novel Exponential Regression Model for Analyzing Dengue Fever Case Rates in the Federal District of Brazi. Preprints2024, 2024070503. https://doi.org/10.20944/preprints202407.0503.v1
Costa, N. S. S. D.; Lima, M. D. C. S. D.; Cordeiro, G. M. A Novel Exponential Regression Model for Analyzing Dengue Fever Case Rates in the Federal District of Brazi. Preprints 2024, 2024070503. https://doi.org/10.20944/preprints202407.0503.v1
Costa, N. S. S. D.; Lima, M. D. C. S. D.; Cordeiro, G. M. A Novel Exponential Regression Model for Analyzing Dengue Fever Case Rates in the Federal District of Brazi. Preprints2024, 2024070503. https://doi.org/10.20944/preprints202407.0503.v1
APA Style
Costa, N. S. S. D., Lima, M. D. C. S. D., & Cordeiro, G. M. (2024). A Novel Exponential Regression Model for Analyzing Dengue Fever Case Rates in the Federal District of Brazi. Preprints. https://doi.org/10.20944/preprints202407.0503.v1
Chicago/Turabian Style
Costa, N. S. S. D., Maria do Carmo Soares de Lima and Gauss Moutinho Cordeiro. 2024 "A Novel Exponential Regression Model for Analyzing Dengue Fever Case Rates in the Federal District of Brazi" Preprints. https://doi.org/10.20944/preprints202407.0503.v1
Abstract
This work offers a new log generalized odd log-logistic exponential regression model for analyzing weekly dengue fever cases in 2022 with a location-systematic component. To achieve this, a data set of 49 observations of dengue fever cases in the Federal District of Brazil is employed. A review of the mathematical properties of the generalized odd log-logistic exponential distribution is provided, the maximum likelihood method is used to estimate the parameters, and, through Monte Carlo simulations, the accuracy of the estimators is investigated. The model's fit is assessed using global influence metrics and residual analysis. For the time scenario studied, the proposed regression identified factors that have an impact on dengue fever cases, which may contribute to improve disease control. Finally, several interpretations are addressed, and a discussion presents results that aid in better understanding the data set and future research on different data.
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
