Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics
In 2015−2016, South America went through the largest Zika epidemic in recorded history. One important aspect of this epidemic was the importance of sexual transmission in combination with the usual vectorial transmission, with asymmetrical transmissibilities between sexual partners dependi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Microorganisms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2607/7/4/112 |
| _version_ | 1818034434451963904 |
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| author | Ana Carolina W. G. de Barros Kaline G. Santos Eduardo Massad Flávio Codeço Coelho |
| author_facet | Ana Carolina W. G. de Barros Kaline G. Santos Eduardo Massad Flávio Codeço Coelho |
| author_sort | Ana Carolina W. G. de Barros |
| collection | DOAJ |
| description | In 2015−2016, South America went through the largest Zika epidemic in recorded history. One important aspect of this epidemic was the importance of sexual transmission in combination with the usual vectorial transmission, with asymmetrical transmissibilities between sexual partners depending on the type of sexual contact; this asymmetry manifested itself in data as an increased risk to women. We propose a mathematical model for the transmission of the Zika virus including sexual transmission via all forms of sexual contact, as well as vector transmission, assuming a constant availability of mosquitoes. From this model, we derive an expression for <inline-formula> <math display="inline"> <semantics> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> </semantics> </math> </inline-formula>, which is used to study and analyze the relative contributions of the male to female sexual transmission route vis-à-vis vectorial transmission. We also perform Bayesian inference of the model’s parameters using data from the 2016 Zika epidemic in Rio de Janeiro. |
| first_indexed | 2024-12-10T06:39:06Z |
| format | Article |
| id | doaj.art-900ebc5fc73a4e809e33441498d14506 |
| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-12-10T06:39:06Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj.art-900ebc5fc73a4e809e33441498d145062022-12-22T01:58:50ZengMDPI AGMicroorganisms2076-26072019-04-017411210.3390/microorganisms7040112microorganisms7040112Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission EpidemicsAna Carolina W. G. de Barros0Kaline G. Santos1Eduardo Massad2Flávio Codeço Coelho3Fundação Getulio Vargas, Escola de Matemática Aplicada, Rio de Janeiro 22250-9000, BrazilFundação Getulio Vargas, Escola de Matemática Aplicada, Rio de Janeiro 22250-9000, BrazilFundação Getulio Vargas, Escola de Matemática Aplicada, Rio de Janeiro 22250-9000, BrazilFundação Getulio Vargas, Escola de Matemática Aplicada, Rio de Janeiro 22250-9000, BrazilIn 2015−2016, South America went through the largest Zika epidemic in recorded history. One important aspect of this epidemic was the importance of sexual transmission in combination with the usual vectorial transmission, with asymmetrical transmissibilities between sexual partners depending on the type of sexual contact; this asymmetry manifested itself in data as an increased risk to women. We propose a mathematical model for the transmission of the Zika virus including sexual transmission via all forms of sexual contact, as well as vector transmission, assuming a constant availability of mosquitoes. From this model, we derive an expression for <inline-formula> <math display="inline"> <semantics> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> </semantics> </math> </inline-formula>, which is used to study and analyze the relative contributions of the male to female sexual transmission route vis-à-vis vectorial transmission. We also perform Bayesian inference of the model’s parameters using data from the 2016 Zika epidemic in Rio de Janeiro.https://www.mdpi.com/2076-2607/7/4/112epidemiologyℛ<sub>0</sub>vector-borne diseasesexually-transmitted disease |
| spellingShingle | Ana Carolina W. G. de Barros Kaline G. Santos Eduardo Massad Flávio Codeço Coelho Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics Microorganisms epidemiology ℛ<sub>0</sub> vector-borne disease sexually-transmitted disease |
| title | Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics |
| title_full | Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics |
| title_fullStr | Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics |
| title_full_unstemmed | Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics |
| title_short | Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics |
| title_sort | sex specific asymmetrical attack rates in combined sexual vectorial transmission epidemics |
| topic | epidemiology ℛ<sub>0</sub> vector-borne disease sexually-transmitted disease |
| url | https://www.mdpi.com/2076-2607/7/4/112 |
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