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Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors
Published on: September 13, 2018
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Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review.
Clarisse Lins de Lima1, Ana Clara Gomes da Silva1, Giselle Machado Magalhães Moreno2
1Nucleus for Computer Engineering, Polytechnique School of the University of Pernambuco, Poli-UPE, Recife, Brazil.
Frontiers in Public Health
|June 20, 2022
Summary
This study reviews arbovirus prediction models, identifying challenges and gaps in spatiotemporal modeling for these neglected tropical diseases. The findings aid public health decision-making by understanding disease and vector dynamics.
Area of Science:
- Epidemiology
- Public Health
- Vector-borne Diseases
Background:
- Arboviruses, transmitted by arthropod vectors, are significant Neglected Tropical Diseases (NTDs) posing global public health challenges.
- Disease dynamics are influenced by complex interactions between climate, environment, and human mobility.
- Effective prediction models are crucial for public health decision-making and disease surveillance.
Approach:
- A systematic literature review was conducted to identify arbovirus prediction models and their vector dynamics.
- Searches were performed on major scientific databases (IEEE Xplore, PubMed, Science Direct, Springer Link, Scopus).
- Studies published between 2015 and 2020 were analyzed, with 139 articles included after filtering.
Key Points:
- Identified challenges in developing accurate arbovirus prediction models.
- Highlighted a significant gap in the development of spatiotemporal models for arboviruses.
- The review synthesizes current knowledge on modeling arbovirus and vector dynamics.
Conclusions:
- Systematic review provides insights into the current state of arbovirus prediction modeling.
- Identified limitations and future research directions, particularly in spatiotemporal analysis.
- Findings support enhanced public health strategies for managing arboviral diseases.
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