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...

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Main Authors: Ana Carolina W. G. de Barros, Kaline G. Santos, Eduardo Massad, Flávio Codeço Coelho
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Microorganisms
Subjects:
Online Access:https://www.mdpi.com/2076-2607/7/4/112
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spelling doaj-900ebc5fc73a4e809e33441498d145062020-11-25T01:23:18ZengMDPI 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&#8722;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-&#224;-vis vectorial transmission. We also perform Bayesian inference of the model&#8217;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
collection DOAJ
language English
format Article
sources DOAJ
author Ana Carolina W. G. de Barros
Kaline G. Santos
Eduardo Massad
Flávio Codeço Coelho
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
author_facet Ana Carolina W. G. de Barros
Kaline G. Santos
Eduardo Massad
Flávio Codeço Coelho
author_sort Ana Carolina W. G. de Barros
title 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_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_sort sex-specific asymmetrical attack rates in combined sexual-vectorial transmission epidemics
publisher MDPI AG
series Microorganisms
issn 2076-2607
publishDate 2019-04-01
description In 2015&#8722;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-&#224;-vis vectorial transmission. We also perform Bayesian inference of the model&#8217;s parameters using data from the 2016 Zika epidemic in Rio de Janeiro.
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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