The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
The emergence of arthropod-borne viral diseases: A global prospective on dengue, chikungunya and zika fevers
Open accessAbstract
Arthropod-borne viruses (arboviruses) present a substantial threat to human and animal health worldwide. Arboviruses can cause a variety of clinical presentations that range from mild to life threatening symptoms. Many arboviruses are present in nature through two distinct cycles, the urban and sylvatic cycle that are maintained in complex biological cycles. In this review we briefly discuss the factors driving the emergence of arboviruses, such as the anthropogenic aspects of unrestrained human population growth, economic expansion and globalization. Also the important aspects of viruses and vectors in the occurrence of arboviruses epidemics. The focus of this review will be on dengue, zika and chikungunya viruses, particularly because these viruses are currently causing a negative impact on public health and economic damage around the world.
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Cites
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Risk factors for human disease emergence
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Cited by
Dengue, severity paradox, and socioeconomic distribution among Afro-Colombians
Carabali, M., Maheu-Giroux, M., & Kaufman, J. S. (2021) · Epidemiology · doi:10.1097/ede.0000000000001353 · Cited by 5
Metadata
- Authors
- Mayer, S. V., Tesh, R. B., & Vasilakis, N.
- Venue
- Acta Tropica
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 166
- Pages
- 155-163
- ISSN
- 0001-706X (ISSN-L)
- OpenAlex
- W2555627680
- Cited by
- 470
- References
- 109
- FWCI
- 34.76
- Type
- journal article
- Language
- en
- Open access
- green
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- Mayer, S. V., Tesh, R. B., & Vasilakis, N. (2017). The emergence of arthropod-borne viral diseases: A global prospective on dengue, chikungunya and zika fevers. Acta Tropica. https://doi.org/10.1016/j.actatropica.2016.11.020
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
