Reigoto, L.;                     Maciel-de-Freitas, R.;                     Sikulu-Lord, M.T.;                     Garcia, G.A.;                     Araujo, G.;                     Lima, A.    
        Limited Spectroscopy Data and Machine Learning for Detection of Zika Virus Infection in Aedes aegypti Mosquitoes. Trop. Med. Infect. Dis. 2025, 10, 308.
    https://doi.org/10.3390/tropicalmed10110308
    AMA Style
    
                                Reigoto L,                                 Maciel-de-Freitas R,                                 Sikulu-Lord MT,                                 Garcia GA,                                 Araujo G,                                 Lima A.        
                Limited Spectroscopy Data and Machine Learning for Detection of Zika Virus Infection in Aedes aegypti Mosquitoes. Tropical Medicine and Infectious Disease. 2025; 10(11):308.
        https://doi.org/10.3390/tropicalmed10110308
    
    Chicago/Turabian Style
    
                                Reigoto, Leonardo,                                 Rafael Maciel-de-Freitas,                                 Maggy T. Sikulu-Lord,                                 Gabriela A. Garcia,                                 Gabriel Araujo,                                 and Amaro Lima.        
                2025. "Limited Spectroscopy Data and Machine Learning for Detection of Zika Virus Infection in Aedes aegypti Mosquitoes" Tropical Medicine and Infectious Disease 10, no. 11: 308.
        https://doi.org/10.3390/tropicalmed10110308
    
    APA Style
    
                                Reigoto, L.,                                 Maciel-de-Freitas, R.,                                 Sikulu-Lord, M. T.,                                 Garcia, G. A.,                                 Araujo, G.,                                 & Lima, A.        
        
        (2025). Limited Spectroscopy Data and Machine Learning for Detection of Zika Virus Infection in Aedes aegypti Mosquitoes. Tropical Medicine and Infectious Disease, 10(11), 308.
        https://doi.org/10.3390/tropicalmed10110308