<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJI</journal-id><journal-title-group><journal-title>Open Journal of Immunology</journal-title></journal-title-group><issn pub-type="epub">2162-450X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oji.2022.124009</article-id><article-id pub-id-type="publisher-id">OJI-122014</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Rubella Immunity among Pregnant Women in Bangui, Central African Republic
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wilfrid</surname><given-names>Sylvain Nambei</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Junior</surname><given-names>Nguerenam-Ouefio</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Arsène</surname><given-names>Gbamonza</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Edwige</surname><given-names>Régine Kodia-Lenguetama</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Biomedical Sciences, Faculty of Health Sciences, University of Bangui, Bangui, Central African Republic</addr-line></aff><aff id="aff2"><addr-line>Communautaire Hospital of Bangui, Bangui, Central African Republic</addr-line></aff><aff id="aff3"><addr-line>National Center of Blood Donors’, Ministry of Public Health, Bangui, Central African Republic</addr-line></aff><pub-date pub-type="epub"><day>08</day><month>12</month><year>2022</year></pub-date><volume>12</volume><issue>04</issue><fpage>130</fpage><lpage>136</lpage><history><date date-type="received"><day>2,</day>	<month>November</month>	<year>2022</year></date><date date-type="rev-recd"><day>25,</day>	<month>December</month>	<year>2022</year>	</date><date date-type="accepted"><day>28,</day>	<month>December</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Sero-positivity rates of the rubella virus among pregnant women vary from country to country widely throughout the world. In the Central African Republic, rubella vaccination is not included in the national immunization schedule. Thus, we propose to evaluate the immune status of pregnant women. This was an analytical retrospective study that consulted the records of pregnant women received in prenatal consultations at the Bangui Community Hospital maternity ward from January to December 2020. Socio-demographic and laboratory data (IgM, IgG) were collected from January to June 2021. Chi
  <sup>2</sup> test was used. A total of 289 pregnant women were analyzed. Women with an IgM+ response accounted for 4.15%. Those with an IgG+ 
  were 
  14.87%. The distribution by age group shows that patients aged 20
   
  -
   
  24 and those aged 25
   
  -
   
  29 had a rubella profile suggesting persistent infection (p = 0.010). The average age of women included was 28 (&#177;6) years. The average parity for the entire sample was 2.18 (1.93). At any age pregnant women were not significantly exposed to rubella infection (p = 0.96), 
  (
  ORbrut = 1.03; CI95% = [0.32
   
  -
   
  3.34]
  )
  . Both immunized and non-immunized individuals are similarly exposed [OR = 0.86; 95% IC95% = 0.44
   
  -
   
  1.68] with no difference (p = 0.96). Rubella infection remains particularly severe when it occurs during pregnancy. It would be wise to seek immunity in all girls of childbearing age in order to rule out any risk of rubella embryopathy.
 
</p></abstract><kwd-group><kwd>Rubella Immunity</kwd><kwd> Pregnant Women</kwd><kwd> Central African Republic</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Rubella, a contagious viral infection that is generally mild, most often affects children and young adults, except when it occurs during pregnancy [<xref ref-type="bibr" rid="scirp.122014-ref1">1</xref>]. Transmission is strictly interhuman (saliva droplets emitted by people infected during coughing or sneezing) and man is the only reservoir of the rubella virus. In pregnant women, mother-to-child transmission of the virus occurs through the placenta and can lead to rubella embryopathy. Rubella virus infection is particularly severe in primary maternal infection during the first trimester of pregnancy [<xref ref-type="bibr" rid="scirp.122014-ref2">2</xref>]. The main manifestations are intrauterine stunting, abortion [<xref ref-type="bibr" rid="scirp.122014-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.122014-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.122014-ref5">5</xref>]. The severity of infection varies with the age of pregnancy [<xref ref-type="bibr" rid="scirp.122014-ref6">6</xref>]. Infection with these viruses is immunizing and pre-pregnancy contamination is in principle protective against these congenital risks [<xref ref-type="bibr" rid="scirp.122014-ref7">7</xref>]. The development of sero-diagnostic and vaccination methods is currently making it possible to confirm the diagnosis, to detect inappropriate infections and to judge the advisability of individual and collective vaccination. In the Central African Republic, although the combined measles, mumps and rubella (MMR) vaccine is recommended, its introduction is not yet effective in the country. It is in this context that we propose to evaluate the immune status of pregnant women towards rubella in order to have updated data for an effective prevention strategy.</p></sec><sec id="s2"><title>2. Materials and Method</title><sec id="s2_1"><title>2.1. Study Design</title><p>This was an analytical retrospective study that consulted the records of pregnant women who received prenatal consultations (PNC) at the Bangui Community Hospital maternity ward from January to December 2020. Data was collected from January to June 2021 on the basis of the consultation and the laboratory register.</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>The data collected concerned: 1) socio-demographic characteristics which included at the time of the PNC: age, number of children born alive (parity), place of residence (urban and semi-urban areas), 2) serological status and reaction title, 3) the laboratory analysis method for the determination of anti-rubella IgG and IgM antibodies using the Combs enzyme immunoassay with sensitivity and specificity of 93.3% and 100% respectively. The proportion of patients immunized was calculated as the number of pregnant women immunized divided by the total number of women tested. This proportion will be determined per 100 pregnant women.</p></sec><sec id="s2_3"><title>2.3. Statistical Analysis</title><p>The data was collected using a laboratory register using a collection sheet and entered on an Excel 2010 file and analyzed with Epi-info 7&#169; from CDC Atlanta and SPSS version 22. Measurements of central trend and dispersion were determined for age with a 95% confidence interval. The χ<sup>2</sup> test was used to compare the two proportions. The search for an association between the variables of the study namely; 1) socio-demographic variables (age, parity, place of residence), biological variables (IgM, IgG) and the occurrence of rubella was done by logistic regression in multivariate analysis. The Odd ratios (ORs) were calculated as well as their confidence intervals, IC95%. For a p-value &lt; 0.05, the Odd ratio value favoured a statistically significant association.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Characteristic of Patients</title><p>A total of 289 pregnant women were tested. Seroprevalence of rubella infection was 12.46%. The average age of pregnant women included was 28 (&#177; 6) years. The average parity for the entire sample was 2.18 (&#177; 1.93). Similarly, the distribution of study subjects between semi-urban and urban areas was statistically similar (p &gt; 0.05) as shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_2"><title>3.2. Distribution of Antibody Responses According to the Variables Studied</title><p>Women with positive IgM responses accounted for 4.15% or n = 12/289. Women with positive IgG responses accounted for 14.87% or n = 43/289. The distribution by age group shows that patients aged 20 - 24 and those aged 25 - 29 had a rubella profile suggesting probable ongoing infection (p = 0.010). Similarly, this same age group was numerous in developing IgG antibody responses to the</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic and laboratory characteristics of patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >N = 289 (%)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Age (years), mean of age (SD) = 28 (&#177;6)</td><td align="center" valign="middle" >0.015</td></tr><tr><td align="center" valign="middle" >14 - 19</td><td align="center" valign="middle" >28 (9.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >70 (24.22)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >25 - 29</td><td align="center" valign="middle" >74 (25.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >30 - 34</td><td align="center" valign="middle" >93 (32.18)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >35 - 44</td><td align="center" valign="middle" >24 (8.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Parity, mean of parity = 2.18 (&#177;1.93)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nulliparous</td><td align="center" valign="middle" >73 (25.26)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >119 (41.18)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >97 (33.56)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Rubellaserology</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.018</td></tr><tr><td align="center" valign="middle" >positive</td><td align="center" valign="middle" >12 (4.15)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >negative</td><td align="center" valign="middle" >277 (95.85)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Residence</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.25</td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >233 (80.62)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >semi urban</td><td align="center" valign="middle" >56 (19.38)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>disease with a statistically different age group (p = 0.018). According to parity, the poor were more represented without any statistically significant difference (p = 0.23) as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s3_3"><title>3.3. Association between Rubella Status and Study Variables</title><p>Of the samples studied, at any age pregnant women were not significantly exposed to rubella infection (p = 0.96), ORbrut = 1.03; CI95% = [0.32 - 3.34]. Similarly, depending on the immune status of women, both immunized and non-immunized individuals are similarly exposed [OR = 0.86; CI95% = 0.44 - 1.68] with no statistically positive difference (p = 0.96) and 19.04% of women with positive antirubeolal response had protective levels. Women tend to be not significantly exposed to rubella infection depending on the number of pregnancies contracted [OR = 1.48 CI95% 0.84 - 1.99] as shown in <xref ref-type="table" rid="table3">Table 3</xref>.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Rubella infection during pregnancy can be the cause of embryopathy which is the consequence of a benign condition difficult to diagnose in its abortive or atypical forms without eruption and which are contagious. In our study, the majority of patients lived in urban areas with no difference between the areas. Indeed, geographic location is an important factor influencing the epidemiological variations and immune status of people infected with rubella, as already reported in some studies [<xref ref-type="bibr" rid="scirp.122014-ref7">7</xref>]. Indeed, the best social conditions were already reported by some authors as low risk factors for acquiring rubella [<xref ref-type="bibr" rid="scirp.122014-ref8">8</xref>]. During this work, pregnant women aged 20 to 24 years and those aged 25 to 29 years developed IgG antibody responses against the disease with a statistically different age range (p = 0.018). Our results corroborate those of some authors [<xref ref-type="bibr" rid="scirp.122014-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.122014-ref10">10</xref>] and may, however, be explained because the diagnosis of rubella is part of the</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of antibody responses according to the variables studied</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables Effect</th><th align="center" valign="middle"  colspan="4"  >Antibody responses</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >IgM+ n (%)</td><td align="center" valign="middle" >IgM- n (%)</td><td align="center" valign="middle" >IgG+ n (%)</td><td align="center" valign="middle" >IgG- n (%)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >age range (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.44</td></tr><tr><td align="center" valign="middle" >14 - 19</td><td align="center" valign="middle" >1 (8.34)</td><td align="center" valign="middle" >30 (10.8)</td><td align="center" valign="middle" >2(4.65)</td><td align="center" valign="middle" >27 (10.98)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >5 (41.66)</td><td align="center" valign="middle" >56 (20.22)</td><td align="center" valign="middle" >21 (48.84)</td><td align="center" valign="middle" >56 (22.74)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >25 - 29</td><td align="center" valign="middle" >3 (25)</td><td align="center" valign="middle" >72 (25.99)</td><td align="center" valign="middle" >16 (37.21)</td><td align="center" valign="middle" >59 (23.93)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >30 - 34</td><td align="center" valign="middle" >2 (16.66)</td><td align="center" valign="middle" >99 (35.74)</td><td align="center" valign="middle" >2 (4.65)</td><td align="center" valign="middle" >87 (35.36)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >35 - 44</td><td align="center" valign="middle" >1 (8.34)</td><td align="center" valign="middle" >20 (7.25)</td><td align="center" valign="middle" >2 (4.65)</td><td align="center" valign="middle" >17 (6.99)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.23</td></tr><tr><td align="center" valign="middle" >Nulliparous</td><td align="center" valign="middle" >2 (1.66)</td><td align="center" valign="middle" >77 (27.79)</td><td align="center" valign="middle" >9 (20.94)</td><td align="center" valign="middle" >55 (22.35)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >7 (58.34)</td><td align="center" valign="middle" >108 (38.98)</td><td align="center" valign="middle" >23 (53.48)</td><td align="center" valign="middle" >93 (37.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >3 (25)</td><td align="center" valign="middle" >92 (33.23)</td><td align="center" valign="middle" >11 (25.58)</td><td align="center" valign="middle" >98 (39.85)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Bivariate analysis between rubella status and study variables</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables Effect</th><th align="center" valign="middle"  colspan="2"  >Rubella status</th><th align="center" valign="middle" >ORbrut</th><th align="center" valign="middle"  rowspan="2"  >CI95%</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >Rubella + n = 12 (%)</td><td align="center" valign="middle"  colspan="2"  >Rubella- n = 277 (%)</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >[0.32 – 3.34]</td><td align="center" valign="middle" >0.95</td></tr><tr><td align="center" valign="middle" >14 - 19</td><td align="center" valign="middle" >1 (8.34)</td><td align="center" valign="middle" >24 (8.66)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >5 (41.66)</td><td align="center" valign="middle" >64 (23.11)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >25 - 29</td><td align="center" valign="middle" >3 (25)</td><td align="center" valign="middle" >69 (24.91)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >30 - 34</td><td align="center" valign="middle" >2 (16.66)</td><td align="center" valign="middle" >97 (35.01)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >35 - 44</td><td align="center" valign="middle" >1 (8.34)</td><td align="center" valign="middle" >23 (8.31)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Immune status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Immunized</td><td align="center" valign="middle" >55 (19.04)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.86</td><td align="center" valign="middle" >[0.44 - 1.68]</td><td align="center" valign="middle" >0.66</td></tr><tr><td align="center" valign="middle" >No Immunized</td><td align="center" valign="middle" >234 (80.96)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.4 [0.84 - 1.99]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nulliparous</td><td align="center" valign="middle" >2 (1.,66)</td><td align="center" valign="middle" >77 (27.79)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >7 (58.34)</td><td align="center" valign="middle" >108 (38.98)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >3 (25)</td><td align="center" valign="middle" >92 (33.23)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>systematic prenatal assessment in pregnant women. However, 95.85% of pregnant women had IgG-negative serology and were therefore susceptible to the virus. In addition, 4.15% of our subjects were at risk of contracting the infection during pregnancy. These same findings were already made by some authors in Kenya who reported a 7% risk of primary infection in pregnant women [<xref ref-type="bibr" rid="scirp.122014-ref10">10</xref>]. This is likely due to the lack of vaccination coverage for rubella in the country [<xref ref-type="bibr" rid="scirp.122014-ref11">11</xref>]. This primary infection could give these pregnant women protective immunity but can be serious for the fetus with risk of rubella embryopathy [<xref ref-type="bibr" rid="scirp.122014-ref12">12</xref>]. This would imply that the spread of the virus would regress without disappearing in these women because of the persistent antibody titres that consolidate immunity against this disease. This persistence of the virus maintains a level of immunity that would prevent an outbreak. However, it would be wise to monitor the level of community protection through serological surveys. In addition, at the individual level it will be useful to seek immunity in all girls of reproductive age in order to eliminate any risk of rubella embryopathy. However, it would be wise to explore several successive serologies and assess for women with positive IgM serology the stage of pregnancy that has an impact on the risk of transmission to the fetus. Since these data are not available at the time of the study, this constitutes a limit to this work.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Rubella infection remains particularly serious when it occurs during pregnancy. Patients aged 20 - 24 and those aged 25 - 29 had a rubella profile suggesting persistent infection. Thus, it would be advisable to monitor the degree of protection of the community and to seek immunity in all girls of childbearing age in order to eliminate any risk of rubella embryopathy by setting up a specific prevention program.</p></sec><sec id="s6"><title>Authors’ Contributions</title><p>WSN conceived, designed, conducted the experiments, analyzed the data and prepared the manuscript. JON read and approved the final manuscript. GA collected the data and REKL read and approved the final manuscript.</p></sec><sec id="s7"><title>Funding</title><p>No funding received.</p></sec><sec id="s8"><title>Institutional Review Board Statement</title><p>This study protocol received full approval from the local Ethics committee of Health Science Faculty of University of Bangui and was conducted in compliance with the declaration of Helsinki. Approval reference number 18/FACSS/CES/21.</p></sec><sec id="s9"><title>Data Availability Statement</title><p>Data is contained within the article.</p></sec><sec id="s10"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s11"><title>Cite this paper</title><p>Nambei, W.S., Nguerenam-Ouefio, Jr., Gbamonza, A. and Kodia-Lenguetama, E.R. (2022) Rubella Immunity among Pregnant Women in Bangui, Central African Republic. Open Journal of Immunology, 12, 130-136. https://doi.org/10.4236/oji.2022.124009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.122014-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Picone, O. and Grangeot-Keros, L. (2005) Rubéole et grossesse. 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