<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0034-7744</journal-id>
<journal-title><![CDATA[Revista de Biología Tropical]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. biol. trop]]></abbrev-journal-title>
<issn>0034-7744</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0034-77442007000300001</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[MONRATE: A descriptive tool for calculation and prediction of re-infection of Ascaris lumbricoides (Ascaridida: Ascarididae)]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sam-Wobo]]></surname>
<given-names><![CDATA[S.O]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mafiana]]></surname>
<given-names><![CDATA[C.F]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Onashoga]]></surname>
<given-names><![CDATA[S.A]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vincent]]></surname>
<given-names><![CDATA[O.R]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Agriculture Department of Biological Sciences ]]></institution>
<addr-line><![CDATA[ Ogun State]]></addr-line>
<country>Nigeria</country>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Agriculture Department of Computer Sciences ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Nigeria</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2007</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2007</year>
</pub-date>
<volume>55</volume>
<numero>3-4</numero>
<fpage>755</fpage>
<lpage>760</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S0034-77442007000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S0034-77442007000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S0034-77442007000300001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The study presents an interactive descriptive tool (MONRATE) for calculating and predicting reinfection rates and time of Ascaris lumbricoides following mass chemotherapy. The implementation was based on the theoretical equation published by Hayashi in 1977, for time-prevalence: Y=G [1-(1-X)N-R] as modified by Jong-Yil in 1983. Using the Psuedo-Code of the MONRATE tool, the calculated monthly reinfection rates (X) for the LGAs are (names are locations in Nigeria in a region predominately populated by the Yoruba speaking tribes of Nigeria whose traditional occupations are agriculture and commerce): Ewekoro (1.6 %), Odeda (2.3 %), Ado-odo/Otta (2.3 %), Ogun Waterside (3.8 %) and Obafemi/Owode (4.2 %). The mathematical mean of ‘X’ values in the study areas for Ogun State was 2.84. The calculated reinfection time (N months) for the LGAs are varied such as Ado-odo/Otta (12.7), Ogun Waterside (21.8), Obafemi/Owode (22.92), Odeda (25.45), and Ewekoro (25.9). The mean value for N in Ogun State was 21.75. The results obtained from MONRATE were compared with those obtained using the mathematical equation and found to be the same. Rev. Biol. Trop. 55 (3-4): 755-760. Epub 2007 December, 28.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Se presenta una herramienta descriptiva e interactiva (MONRATE) para calcular y predecir las tasas y tiempo de reinfección con Ascaris lumbricoides tras un tratamiento de quimioterapia. Nos basamos en la ecuación propuesta por Hayashi en 1977 para el tiempo de prevalencia: Y=G [1- (1-X)N-R], según la modificó Jong-Yil en 1983. Utilizando el código Psuedo de la herramienta de MONRATE, las tasas de reinfección mensuales (X) para varios sitios de Nigeria, África, son: Ewekoro (1.6 %), Odeda (2.3 %), Ado-odo/Otta (2.3 %), Ogun Waterside (3.8 %) y Obafemi/ Owode (4.2 %). El promedio matemático de los valores de "X" en el área de estudio del Estado de Ogun fue 2.84. El tiempo de reinfección calculado (N meses) para LGAs es variado: Ado-odo/Otta (12.7), Ogun Waterside (21.8), Obafemi/Owode (22.92), Odeda (25.45) y Ewekoro (25.9). El valor promedio para N en el Estado de Ogun fue 21.75. Los resultados del programa MONRATE son iguales a los producidos por la ecuación]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[MONRATE]]></kwd>
<kwd lng="en"><![CDATA[Ascaris lumbricoides]]></kwd>
<kwd lng="en"><![CDATA[young worm positive rate]]></kwd>
<kwd lng="en"><![CDATA[Ogun State]]></kwd>
<kwd lng="en"><![CDATA[MONRATE]]></kwd>
<kwd lng="en"><![CDATA[Ascaris lumbricoides]]></kwd>
<kwd lng="en"><![CDATA[tasa de casos positivos para presencia de vermes jóvenes]]></kwd>
<kwd lng="en"><![CDATA[Estado de Ogun]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <div style="text-align: center;"> </div>     <div style="text-align: center;"><span style="font-weight: bold;"><font  face="Verdana" size="4">MONRATE: A descriptive tool for calculation and prediction of re-infection of <span style="font-style: italic;">Ascaris lumbricoides</span> (Ascaridida: Ascarididae)</font></span></div> <font face="Verdana" size="2">     <p><span style="font-weight: bold;">S.O. Sam-Wobo<a name="a1"></a><a  href="#a2"><sup>1</sup></a>, C.F. Mafiana<a href="#a2"><sup>1</sup></a>, S.A. Onashoga <a href="#a2"><sup>2</sup></a> &amp; O.R.Vincent<a  href="#a2"><sup>2</sup></a></span> </p>     <p><a name="a2"></a><a href="#a1">1</a> Department of Biological Sciences, University of Agriculture, PMB 2240, Abeokuta 110001, Ogun State, Nigeria. Phone: 234-8033199315; <a  href="mailto:sam_wobo@yahoo.com">sam_wobo@yahoo.com</a> </p>     <p><a href="#a1">2</a> Department of Computer Sciences, University of Agriculture, PMB 2240, Abeokuta 110001, Ogun State, Nigeria. </p>     <p> </p> </font> <hr style="width: 100%; height: 2px;"><font face="Verdana" size="2">     <p><span style="font-weight: bold;">Abstract:</span> The study presents an interactive descriptive tool (MONRATE) for calculating and predicting reinfection rates and time of <span  style="font-style: italic;">Ascaris lumbricoides</span> following mass chemotherapy. The implementation was based on the theoretical equation published by Hayashi in 1977, for time-prevalence: Y=G [1–(1-X)<sup>N-R</sup>] as modified by Jong-Yil in 1983. Using the Psuedo-Code of the MONRATE tool, the calculated monthly reinfection rates (X) for the LGAs are (names are locations in Nigeria in a region predominately populated by the Yoruba speaking tribes of Nigeria whose traditional occupations are agriculture and commerce): Ewekoro (1.6 %), Odeda (2.3 %), Ado-odo/Otta (2.3 %), Ogun Waterside (3.8 %) and Obafemi/Owode (4.2 %). The mathematical mean of ‘X’ values in the study areas for Ogun State was 2.84. The calculated reinfection time (N months) for the LGAs are varied such as Ado-odo/Otta (12.7), Ogun Waterside (21.8), Obafemi/Owode (22.92), Odeda (25.45), and Ewekoro (25.9). The mean value for N in Ogun State was 21.75. The results obtained from MONRATE were compared with those obtained using the mathematical equation and found to be the same. Rev. Biol. Trop. 55 (3-4): 755-760. Epub 2007 December, 28. </p>     <p><span style="font-weight: bold;">Key words:</span> MONRATE, <span  style="font-style: italic;">Ascaris lumbricoides</span>, young worm positive rate, Ogun State.</p> </font> <hr style="width: 100%; height: 2px;">     <p><font face="Verdana" size="2"> </font></p>     <p><font face="Verdana" size="2">In epidemiological aspects of ascariasis <font><font face="Verdana" size="2">control, Jong-Yil (1983) had observed that the </font></font><font><font face="Verdana"  size="2">most </font></font><font><font face="Verdana" size="2">important factor to be considered is the </font></font><font><font face="Verdana"  size="2">persistent </font></font><font><font face="Verdana" size="2">occurrence of reinfection in endemic </font></font><font><font face="Verdana"  size="2">areas. It is known that, due to reinfection, the </font></font><font><font face="Verdana" size="2">prevalence returned to the pre-treatment level </font></font><font><font  face="Verdana" size="2">within one year after intensive mass treat</font></font><font><font  face="Verdana" size="2">ment using effective anti-helminths (Arfaa and</font></font><font><font  face="Verdana" size="2"> </font></font><font><font face="Verdana"  size="2">Ghadirian 1977, Seo 1983). Therefore the suc</font></font><font><font  face="Verdana" size="2">cess or failure in control greatly depends on the</font></font><font><font face="Verdana" size="2">rate and frequency of reinfection.    ]]></body>
<body><![CDATA[<br> </font></font></font></p>     <p><font face="Verdana" size="2"><font><font face="Verdana" size="2">Anderson (1986), and Forrester <span style="font-style: italic;">et al</span>. </font></font><font><font  face="Verdana" size="2">(1990) had reported that helminth parasites </font></font><font><font  face="Verdana" size="2">were aggregated in human populations so </font></font><font><font  face="Verdana" size="2">that </font></font><font><font face="Verdana"  size="2">most individuals have very light infections </font></font><font><font  face="Verdana" size="2">while a few have great numbers of parasites, </font></font><font><font  face="Verdana" size="2">and that lightly infected individuals became</font></font><font><font  face="Verdana" size="2"> lightly reinfected, whereas heavily infected</font></font> individuals became heavily reinfected. </font></p>     <p><font face="Verdana" size="2">&nbsp;Seo (1983) had suggested that where prevalence and intensity of <span  style="font-style: italic;">A. lumbricoides</span> infection were high, the incidence (frequency) of reinfection would also be high. For instance, where the prevalence was 82-92 %, the monthly reinfection rate was 7.3 -10.2 %, but where it was 36 % the monthly rate was 3.3-4.8 %. This Jong-Yil (1983) stated may not totally be correct since the above study was based on repeated egg examination after treatment and not on the worm recovery. It further observed that if worm collection methods were applied with mass chemotherapy using anthelminths, the reinfection rate could be estimated simply by discriminating the cases harbouring young worm(s). The relationship between prevalence and reinfection rates in terms of all worms and young worm positive rates respectively could be applied to any given area. Therefore, the objectives of the present study was to develop a tool for calculating and predicting reinfection rates, by applying the formula of Hayashi (1977) and Jong-Yil (1983) through observation of epidemiological relationship between the current prevalence and the monthly reinfection rate of <span  style="font-style: italic;">A. lumbricoides</span> in communities of Ogun State, Nigeria. </font></p>     <p><font face="Verdana" size="2"><font size="3"><span  style="font-weight: bold;">Materials and methods</span>    <br> </font></font></p>     <p><font face="Verdana" size="2">Ogun State lies approximately between 2°30’ N and 4°30’ NE and between 6°30’ N and 8° N. It is predominately populated by the Yoruba speaking tribes of Nigeria whose traditional occupations are agriculture and commerce. </font></p>     <p><font face="Verdana" size="2">The Study areas were mapped using the soil-geological map of Ogun State (Sam-Wobo and Mafiana 2004). Consent and approval to use the primary school pupils were obtained from the State Primary Education Board after explaining the objectives of the study. Letters were thereafter issued to officials of the Local Government Education Authority in the study Local Government Areas, as well as to the Head Teachers in the selected primary schools for cooperation and assistance during the research study. In the four primary schools selected from each of the Local Government Areas, consent was also sought from the Parent/Teachers Association and the school children through interactive sessions facilitated by the Head teachers of each school. </font></p>     <p><font face="Verdana" size="2">Prevalence and intensity by Direct Method: Levamex (containing 40 mg of Levamisole and manufactured by UNIBIOS Laboratories Ltd, India) a broad-spectrum antihelminthic was administered to all participants in the study according to manufacturer’s instructions. The pupils who took the drugs in our presence, were each given a labelled screw cap plastic container, about 1.5 l with an instruction to pass all stools for the next 24 h into the container. Stool passed within 48 h of treatment was collected, preserved with 10 % formalin and taken to the Parasitology Laboratory in the Department of Biological Sciences, University of Agriculture, Abeokuta. Examination of Ascaris was by flushing the stool with running water through a sieve. The worms present were then sorted into sexes and counted. Before fixing the worms in 10 % formalin, the length (cm) and weight (gm) were obtained for characterization into young and adult worms. The length measurement was done by tracing a flexible wire through the anterior to posterior ends and the weight was measured using Mettler P163 weighing balance by Gallenkamp. </font></p>     <p><font face="Verdana" size="2"><span style="font-weight: bold;">Statistical analysis:</span> SPSS version 10 employing simple percentiles, paired and sample t-tests techniques were used in analysing the prevalence and intensity of infections, in addition to comparing infections and the frequency distribution probability factor (k) of the worms in the study areas. </font></p>     <p><font face="Verdana" size="2"><span style="font-weight: bold;">Reinfection studies:</span> the method used for the prevalence and intensity studies was adopted. Each pupil previously treated was retreated 6 or 7 months after the initial treatment with Levamex. Thereafter, the pupils were requested to void all stools into the 1.5 l container and bring to the school for two consecutive days. The stools were examined for young worms, which are indicative of fresh infection since the initial treatment. </font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">Using the theoretical equation of Hayashi (1977) for time-prevalence: </font></p>     <p style="text-align: center;"><font face="Verdana" size="2">Y=G[1–(1-X)<sup>N-R</sup>]    <br> as applied by Jong-Yil (1983) </font></p>     <p><font face="Verdana" size="2">&nbsp;</font></p>     <p><font face="Verdana" size="2">Where </font></p>     <p><font face="Verdana" size="2">Y = Prevalence </font></p>     <p><font face="Verdana" size="2">X = Monthly re-infection rate </font></p>     <p><font face="Verdana" size="2">N = Time elapsed in months </font></p>     <p><font face="Verdana" size="2">R = incubation period for worm maturation </font></p>     <p><font face="Verdana" size="2">G = Maximum prevalence to be reached in the area. </font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">The above equation was modified under the consideration that ‘G’ should be 1 (100 %) and ‘R’ be 0 when ‘X’ and ‘Y’ values were expressed by worm positive rates as follows: Y=1–(1-X)<sup>N</sup> </font></p>     <p><font face="Verdana" size="2">The monthly re-infection rate therefore was obtained using the known values of ‘Yr’ (Young worm positive rate) and ‘N’ (no in months) according to the equation </font></p>     <p style="text-align: center;"><font face="Verdana" size="2">Yr=1(1–X)<sup>2</sup> </font></p>     <p><font face="Verdana" size="2">A tool named "MONRATE" using either the FORTRAN or Q-Basic programming languages was implemented for the calculation and prediction of reinfection rate (N) as a quality assurance tool for the Jong-Yil (1983) model. </font></p>     <p><font face="Verdana" size="2"><span style="font-weight: bold;">Psuedo-Code to calculate and predict reinfection time:</span> </font></p>     <p><font face="Verdana" size="2">Clear the screen </font></p>     <p><font face="Verdana" size="2">Array r (20) </font></p>     <p><font face="Verdana" size="2">Array y (20) </font></p>     <p><font face="Verdana" size="2">Do i from 1 to 20: Aloop i to read each of the values in r </font></p>     <p><font face="Verdana" size="2">Read r (i): read in each value of r </font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">LET x=1–SQR(1-(r(i)/100)) - to get the monthly re-infection rate </font></p>     <p><font face="Verdana" size="2">output the result of x </font></p>     <p><font face="Verdana" size="2">get the next value of r </font></p>     <p><font face="Verdana" size="2">Do J from 1 to 20: A loop j to read the values of y </font></p>     <p><font face="Verdana" size="2">Read Y(J): read in each value of y </font></p>     <p><font face="Verdana" size="2">LET n=LOG(1-(Y(j)/100))/LOG(1-x) -this calculates the time elapsed in months </font></p>     <p><font face="Verdana" size="2">output the each value of n </font></p>     <p><font face="Verdana" size="2">read in the next value of y </font></p>     <p><font face="Verdana" size="2">end program execution </font></p>     <p><font face="Verdana" size="2">Note: </font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">r: represents the worm positive case values </font></p>     <p><font face="Verdana" size="2">y: represents the young worm positive case values </font></p>     <p><font face="Verdana" size="3"><span style="font-weight: bold;">Results</span> </font></p>     <p><font face="Verdana" size="2"><span style="font-weight: bold;">Direct prevalence and intensity of infection: </span>one thousand six hundred pupils (51 % males: 49 % females) within the age classes 6-17 years were examined for direct prevalence in the different Local Government Areas (LGAs). The level of compliance of the pupils with respect to faecal collection after treatment in the study revealed that Odeda LG School, Obantoko had the least compliance (19 %), while the highest was in Anglican School, Obafemi (96.3 %). On the whole, there was 62 % compliance. </font></p>     <p><font face="Verdana" size="2">The study observed that 480 pupils of the 990 pupils who complied with faecal collection passed out worms (<a  href="/img/revistas/rbt/v55n3-4/art01t1.gif">Table 1</a>). The result showed that 51.9 % male and 48.1 % female pupils were infected with <span style="font-style: italic;">A. lumbricoides</span>. Statistical analysis showed no significant difference between the infection rates in both sexes (t=2.60, p=0.234). The study also observed that male pupils voided higher numbers of worms (1 090, 0=2.2) than female pupils (879, 0=1.7) in all the study areas. The overall direct prevalence for <span style="font-style: italic;">A. lumbricoides</span> was 48.5 % for the population that complied with faecal collection; and 30 % for the total population enlisted for the study. </font></p>     <p><font face="Verdana" size="2"><span style="font-weight: bold;">Reinfection analysis:</span> from the 1 237 pupils who participated in the study, a total of 102 young worms were voided by 70 young worm positive cases with a mean worm burden of 1.4 worms. The young worm positive rates in the study areas were in the range of 3.2 to 8.2 %. Of the initial 480 worm positive cases, 70 cases were positive for young worms (<a href="/img/revistas/rbt/v55n3-4/art01t1.gif">Table 1</a>). Using the Psuedo-Code of the MONRATE tool, the calculated monthly reinfection rates (X) for the LGAs are: Ewekoro (1.6 %), Odeda (2.3 %), Ado-odo/Otta (2.3 %), Ogun Waterside (3.8 %) and Obafemi/Owode (4.2%). The mathematical mean of ‘X’ values in the study areas for Ogun State was 2.84. The calculated reinfection time (N months) for the LGAs are varied such as Ado-odo/Otta (12.7), Ogun Waterside (21.8), Obafemi/Owode (22.92), Odeda (25.45), and Ewekoro (25.9). The mean value for N in Ogun State was 21.75. </font></p>     <p><font face="Verdana" size="3"><span style="font-weight: bold;">Discussion</span> </font></p>     <p><font face="Verdana" size="2">The study showed that the overall prevalence by direct intensity of <span style="font-style: italic;">A. lumbricoides</span> in Ogun State through the School system was 48.5 %. The study developed a descriptive tool "MONRATE" for determination of monthly reinfection rate and reinfection time in months. This algorithm which is novel was test run and used in the determination of the values obtained for the reinfection. The values obtained were the same as the reinfection formula of Jong-Yil (1983) which served as the control. </font></p>     <p><font face="Verdana" size="2">The mean monthly reinfection rate calculated was 2.84 which are approximately three months for schools in Ogun State. in assessing reinfection time for the State, an ‘N months’ mean value of 21.75 was obtained. The study adopted the use of mathematical means to develop an algorithm without altering the original contributions of Jong-Yil in the reinfection formula. </font></p>     <p><font face="Verdana" size="2">The significance of the new tool is realised with the development of information technology where computers are incorporated in our daily activities. it now becomes easier for programme control officers and epidemiologists to adapt the tool in calculating and predicting reinfection time. This also eliminates the stress basic biomedical practitioners go through in solving mathematical equations. </font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">The result of this study is therefore a veritable instrument in the execution of control programmes involving mass treatment and health education at the private and community levels. Three months periodic treatment with anthelminths would not only cut off re-infection time due to ascariasis but would also improve the morbidity status of the affected individual. </font></p>     <p><font face="Verdana" size="2">Anderson (1993) had opined that the important characteristic of highest responses to helminth infection is the density-dependent manner in which they act. The proportional reduction in establishment, survival and reproduction is greater in disease subpopulation of parasites than sparse ones. These processes act as negative feedback mechanism to constrain parasite population growth within individual lust. Although immunological responses induce such effects, competition between parasites for finites resources within or on the host, may also be important. </font></p>     <p><font face="Verdana" size="2">Studies had posited that gastro-intestinal helminths are amenable to control in that they require no intermediate host, however the extent and prevalence of gastro-intestinal infections globally had continued to pose a marine problem in recent decades (Molyneux 1993). An integrated approach consisting of mass treatment, safe disposal of waste and provision of latrines in addition to the need for community and health education had been canvassed. </font></p>     <p><font face="Verdana" size="2">The absolute determination of worm burden by chemotherapy induced expulsion of helminth particularly <span  style="font-style: italic;">Ascaris</span> by one dosage treatment with levamisole is indicative that chemotherapy is the best option for treatment (Haswell-Elkins <span style="font-style: italic;">et al</span>. 1989, Holland <span style="font-style: italic;">et al</span>. 1989, Guyatt <span  style="font-style: italic;">et al</span>. 1995). Urbani and Albonico (2003) while confirming four anthelminthic drugs namely: Albendazole, Levamisole, Mebendazole and Pyrantel as appropriate single dose treatment against soil-transmitted helminthiasis, sounded a note of caution on reported side effects and severe adverse reactions associated with the drugs. They however advocated further research to confirm the cause–effect relationship. </font></p>     <p><font face="Verdana" size="3"><span style="font-weight: bold;">Acknowledgments</span> </font></p>     <p><font face="Verdana" size="2">We sincerely appreciate the support and cooperation of Ogun State Primary Education Board, the Head Teachers, Parents, Staff and Pupils of the schools participating in the study. </font></p> <hr style="width: 100%; height: 2px;">     <p><font face="Verdana" size="2"><span style="font-weight: bold;">Resumen</span> </font></p>     <p><font face="Verdana" size="2">Se presenta una herramienta descriptiva e interactiva (MONRATE) para calcular y predecir las tasas y tiempo de reinfección con <span style="font-style: italic;">Ascaris lumbricoides</span> tras un tratamiento de quimioterapia. Nos basamos en la ecuación propuesta por Hayashi en 1977 para el tiempo de prevalencia: Y=G [1– (1-X)<sup>N-R</sup>], según la modificó Jong-Yil en 1983. Utilizando el código Psuedo de la herramienta de MONRATE, las tasas de reinfección mensuales (X) para varios sitios de Nigeria, África, son: Ewekoro (1.6 %), Odeda (2.3 %), Ado-odo/Otta (2.3 %), Ogun Waterside (3.8 %) y Obafemi/ Owode (4.2 %). El promedio matemático de los valores de "X" en el área de estudio del Estado de Ogun fue 2.84. El tiempo de reinfección calculado (N meses) para LGAs es variado: Ado-odo/Otta (12.7), Ogun Waterside (21.8), Obafemi/Owode (22.92), Odeda (25.45) y Ewekoro (25.9). El valor promedio para N en el Estado de Ogun fue 21.75. Los resultados del programa MONRATE son iguales a los producidos por la ecuación     <br> </font></p>     <p><font face="Verdana" size="2"><span style="font-weight: bold;">Palabras clave:</span> MONRATE, <span style="font-style: italic;">Ascaris lumbricoides</span>, tasa de casos positivos para presencia de vermes jóvenes, Estado de Ogun.    ]]></body>
<body><![CDATA[<br> </font></p> <hr style="width: 100%; height: 2px;">     <p><font face="Verdana" size="2"></font></p>     <div style="text-align: center;"><font face="Verdana" size="2"><font><font  face="Verdana" size="2">Received 26-IV-2006. Corrected 21-II-2007. Accepted 14-V-2007.</font></font></font></div>     <p><font face="Verdana" size="2"> </font></p>     <p><font face="Verdana" size="3"><span style="font-weight: bold;">References</span> </font></p>     <!-- ref --><p><font face="Verdana" size="2">Anderson, R.M. 1986. The population dynamics and epidemiology of intestinal nematode infections. Transact. Royal Soc. of Trop. Med. 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