Forecasting the Case Number of Infectious Diseases Using Type-2 Fuzzy Logic for a Diphtheria Case Study
Author:
Affiliation:
1. Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
2. Department of Informatics, Universitas Muhammadiyah Malang, Malang 65145, Indonesia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/39/1/3/pdf
Reference19 articles.
1. Ongoing diphtheria outbreak in Yemen: A cross-sectional and genomic epidemiology study;Badell;Lancet Microbe,2021
2. Diphtheria|CDC (2023, February 23). Available online: https://www.cdc.gov/diphtheria/index.html.
3. Quah, S.R. (2017). International Encyclopedia of Public Health, Academic Press. [2nd ed.].
4. Models to predict the public health impact of vaccine resistance: A systematic review;Reid;Vaccine,2019
5. What is the true burden of diphtheria, tetanus, pertussis and poliovirus in children aged 3–18 years in Asia? A systematic literature review;Nicholson;Int. J. Infect. Dis.,2022
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