ArticlePloS one2020
Modeling Chikungunya control strategies and Mayaro potential outbreak in the city of Rio de Janeiro.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review and meta-analysis of the potential non-human animal reservoirs and arthropod vectors of the Mayaro virus.PLoS neglected tropical diseases · 2021Pooled it
- The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling.PLoS neglected tropical diseases · 2021Pooled it
- Evaluation of Antiviral Activity ofACS omega · 2025Article
- Effects of Temperature Dependence in Mosquito Mortality on Simulated Chikungunya Virus Transmission.Viruses · 2025Article
- β-enaminoester derivatives exhibit promising in vitro and in silico antiviral potential against Mayaro virus.Archives of microbiology · 2024Article
- Interphase chromosomes of the Aedes aegypti mosquito are liquid crystalline and can sense mechanical cues.Nature communications · 2023Article
- Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models.International journal of environmental research and public health · 2022Review
- COVID-19 and Chikungunya: an optimal control model with consideration of social and environmental factors.Journal of ambient intelligence and humanized computing · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mosquito-borne diseases have become a significant health issue in many regions around the world. For tropical countries, diseases such as Dengue, Zika, and Chikungunya, became epidemic in the last decades. Health surveillance reports during this period were crucial in providing scientific-based information to guide decision making and resources allocation to control outbreaks. In this work, we perform data analysis of the last Chikungunya epidemics in the city of Rio de Janeiro by applying a compartmental mathematical model. Sensitivity analyses were performed in order to describe the contribution of each parameter to the outbreak incidence. We estimate the "basic reproduction number" for those outbreaks and predict the potential epidemic outbreak of the Mayaro virus. We also simulated several scenarios with different public interventions to decrease the number of infected people. Such scenarios should provide insights about possible strategies to control future outbreaks.
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Registered trials
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