Estimation of the expected number of cases of microcephaly in Brazil as a result of Zika

Yanfeng Liang, David Greenhalgh

Research output: Contribution to journalArticle

Abstract

In this paper we have adapted a delayed dengue model to Zika. By assuming that the epidemic starts by a single infected individual entering a disease-free population at some initial time t0 we have used the least squares parameter estimation technique in R to estimate the initial time t0 using observed Zika data from Brazil as well as the transmission probabilities of Zika in Brazil between humans and mosquitoes and vice-versa. Different values of Aedes aegypti (A. aegypti) biting rate are used throughout the paper.
We have estimated the value of the basic reproduction number for Zika in Brazil and calculated the expected number of cases of microcephaly in newborns as a result of women infected with Zika during pregnancy. We started off with a non-age-structured model then introduced age-structure into the model.
However in reality seasonality, in particular temperature and rainfall, have a great impact on the population size of A. aegypti. Hence we repeat both the non-age-structured and age-structured analyses introducing seasonality into the A. aegypti birth function to model the effect of these environmental factors.
LanguageEnglish
Pages8217–8242
Number of pages26
JournalMathematical Biosciences and Engineering
Volume16
Issue number6
DOIs
Publication statusPublished - 16 Sep 2019

Fingerprint

Microcephaly
Aedes
Brazil
Aedes aegypti
Seasonality
Basic Reproduction Number
Dengue
biting rates
Population Density
Culicidae
Least-Squares Analysis
Age Structure
Basic Reproduction number
dengue
Least Squares Estimation
Environmental Factors
Pregnancy
Rainfall
Population Size
Parturition

Keywords

  • Zika virus
  • microcephaly
  • dengue
  • aedes aegypti
  • parameter estimation
  • least square estimation
  • ordinary differential equations
  • partial differential equations

Cite this

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abstract = "In this paper we have adapted a delayed dengue model to Zika. By assuming that the epidemic starts by a single infected individual entering a disease-free population at some initial time t0 we have used the least squares parameter estimation technique in R to estimate the initial time t0 using observed Zika data from Brazil as well as the transmission probabilities of Zika in Brazil between humans and mosquitoes and vice-versa. Different values of Aedes aegypti (A. aegypti) biting rate are used throughout the paper.We have estimated the value of the basic reproduction number for Zika in Brazil and calculated the expected number of cases of microcephaly in newborns as a result of women infected with Zika during pregnancy. We started off with a non-age-structured model then introduced age-structure into the model.However in reality seasonality, in particular temperature and rainfall, have a great impact on the population size of A. aegypti. Hence we repeat both the non-age-structured and age-structured analyses introducing seasonality into the A. aegypti birth function to model the effect of these environmental factors.",
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Estimation of the expected number of cases of microcephaly in Brazil as a result of Zika. / Liang, Yanfeng; Greenhalgh, David.

In: Mathematical Biosciences and Engineering, Vol. 16, No. 6, 16.09.2019, p. 8217–8242.

Research output: Contribution to journalArticle

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