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. 2017 Jan 30;12(1):e0170485.
doi: 10.1371/journal.pone.0170485. eCollection 2017.

Thalassemia in the United Arab Emirates: Why it can be prevented but not eradicated

Affiliations

Thalassemia in the United Arab Emirates: Why it can be prevented but not eradicated

Sehjeong Kim et al. PLoS One. .

Abstract

Thalassemia is a genetic blood disorder that causes abnormal hemoglobin. Hemoglobin is a protein in red blood cells that carries oxygen and is made of two proteins from four α-globin genes and two β-globin genes. A defect in one or more of these genes causes thalassemia. The treatment of thalassemia mostly depends on life-long blood transfusions and removal of excessive iron from the blood stream. Such tremendous blood consumption puts pressure on the national blood stock in many countries. In particular, in the United Arab Emirates (UAE), various forms of thalassemia prevention have been used and hence, the substantial reduction of the thalassemia major population has been achieved. However, the thalassemia carrier population still remains high, which leads to the potential increase in the thalassemia major population through carrier-carrier marriages. In this work, we investigate the long-term impact and efficacy of thalassemia prevention measures via mathematical modeling at a population level. To our best knowledge, this type of assessment has not been done before and there is no mathematical model that has investigated such a problem for thalassemia or any blood disorders at a population level. By using UAE data, we perform numerical simulations of our model and conduct sensitivity analysis of parameter values to see which parameter values affect most the dynamics of our model. We discover that the prevention measures can contribute to reduce the prevalence of the disease only in the short term but not eradicate the disease in the long term.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Schema of population dynamics of the mathematical model.
Each box represents a population subgroup, i.e. compartment. The arrows indicate how the population in each compartment could move from one compartment to another via our mathematical model. The variable names are found in Table 2 and the mathematical equations on the arrows can be found in S1 Material. For example, bK U means newborn boys or girls from married coupled and hence they are moved to the children compartments GM or GF.
Fig 2
Fig 2. Simulation results of thalassemia major population in both genders with different level of marriage reconsideration rates.
(a) Thalassemia female TF with different marriage reconsideration rates. (b) Thalassemia male TM with different marriage reconsideration rates. νK and ν˜K are the marriage reconsideration rates of educated and uneducated carrier populations for K = {M, F}. νK = 0 (νK˜=0) means all of uneducated (educated) carrier males or females do not give up their marriage decision, whereas νK = 1 (νK˜=1) means all of uneducated (educated) carrier males or females do give up their marriage decision due to screening and education. The education and premarital screening rates are as in Table 3.
Fig 3
Fig 3. Sensitivity regarding the birth, death, thalassemia diagnosis rates with respect to thalassemia populations.
(a) Sensitivity of bF, ηTF, dGF, dT and dF with respect to TF. (b) Sensitivity of bM, ηTM, dGM, dT and dM with respect to TM. Note that bM, bF are birth rates, dGM, dGF are child mortality rates, dM, dF and dT are normal male and female death rates and thalassemia induced death rates, respectively.
Fig 4
Fig 4. Sensitivity regarding the education, marriage reconsideration and premarital screening rates with respect to thalassemia major population in both genders.
(a) Sensitivity of ϵ, νF, ν˜F, and αsF with respect to TF. (b) Sensitivity of ϵ, νM, ν˜M, and αsM with respect to TM. Note that ε is the education rate, νK and ν˜K the marriage reconsideration rates of uneducated and educated carrier populations, respectively, and αsK is the premarital screening rate. The inner plots in (a) and (b) are the enlargement of sensitivity regarding ϵ, νK, and ν˜K, where K = {M, F}.
Fig 5
Fig 5. Sensitivity regarding premarital screening rates with respect to educated and uneducated carrier populations.
(a) Sensitivity with respect to uneducated and educated carrier single males, CMA and CMAE. (b) Sensitivity with respect to uneducated and educated carrier single females, CFA and CFAE. Note that αsM and αsF are the premarital screening rates for males and females who are about to marry.

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