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    <title>American Journal of Applied Mathematics and Statistics</title>
    <link>http://www.sciepub.com/journal/AJAMS</link>
    <description>American Journal of Applied Mathematics and Statistics is a peer-reviewed, open access journal that publishes original research articles and review articles in all areas of applied mathematics and statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of applied mathematics and statistics.</description>
    <dc:publisher>Science and Education Publishing</dc:publisher>
		<dc:language>en</dc:language>
		<dc:rights>2013 Science and Education Publishing Co. Ltd All rights reserved.</dc:rights>
		<prism:publicationName>American Journal of Applied Mathematics and Statistics</prism:publicationName>
		13
		3
		January 2025
		<prism:copyright>2013 Science and Education Publishing Co. Ltd All rights reserved.</prism:copyright>
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<title>
Markov Chain Modelling of Pneumonia Cases in the Builsa North Municipality of the Upper East Region of Ghana
</title>
<link>http://pubs.sciepub.com/ajams/13/3/1</link>
<description>
<![CDATA[The aim of the study is to model pneumonia cases using Markov Chain. Secondary data on monthly pneumonia cases spanning January, 2015 to December, 2020 was obtained from Builsa North Municipal hospital. Descriptive statistics of the data revealed the minimum and maximum number of pneumonia cases were 9 and 370 respectively with an approximate mean of 121. The data was classified into Low, Moderate and High states based on quartiles of the dataset. The analysis with the aid of R software revealed that, the transition probability of remaining in the low, moderate and high states were 61.10%, 62.9% and 50% respectively, but the probability of transitioning from the low state to the moderate and high states were 33.30% and 5.60% respectively. Also, in the long-run there will be higher chances of recording moderate pneumonia cases with a probability of approximately 51% as compared to 26% and 23% for low and high states respectively. Again, the estimates for Mean Recurrence Time for the low, moderate and high states were 4, 2 and 4 months, respectively and their respective sojourn times were 3, 3 and 2 months. The estimated first passage time probabilities also revealed that when low pneumonia cases are observed in the first month, there is higher probability of low pneumonia cases being observed in the next month. The analysis also revealed that it will take the states twenty-eight (28) months to be in equilibrium and in the long-run the municipality will record, on average, approximately 117 pneumonia cases monthly.]]>
</description>
<dc:creator>
Abdulai  Jafar, Alhassan  Faisal
</dc:creator>
<dc:date>2025-10-12</dc:date>
<dc:publisher>Science and Education Publishing</dc:publisher>
<prism:publicationDate>2025-10-12</prism:publicationDate>
<prism:number>3</prism:number>
<prism:volume>13</prism:volume>
<prism:startingPage>47</prism:startingPage>
<prism:endingPage>56</prism:endingPage>
<prism:doi>10.12691/ajams-13-3-1</prism:doi>
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<title>
A Game-Theoretic Analysis of the Rohingya Issue
</title>
<link>http://pubs.sciepub.com/ajams/13/3/2</link>
<description>
<![CDATA[The Rohingya issue is one of the most widely discussed phenomena throughout our country. This crisis has persisted for a long time and may become a long-term problem if it is not managed skillfully. To address the issue effectively, it is essential to understand the underlying motives and dynamics behind it. In this research paper, one of the most significant analytical approaches—<i>game theory</i>—is applied to examine the causes of the Rohingya crisis. Based on these motives and interactions, a suitable game-theoretic framework will be identified to determine whether the issue can be modeled as a monopoly, duopoly, zero-sum, or constant-sum game. The analysis aims to derive an optimal solution for this problem, which may assist policymakers in taking informed decisions to resolve the crisis.]]>
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<dc:creator>
Samen  Bairagi, Layeqa  Bashir, Munnujahan  Ara, Anuva  Afsana
</dc:creator>
<dc:date>2025-10-26</dc:date>
<dc:publisher>Science and Education Publishing</dc:publisher>
<prism:publicationDate>2025-10-26</prism:publicationDate>
<prism:number>3</prism:number>
<prism:volume>13</prism:volume>
<prism:startingPage>57</prism:startingPage>
<prism:endingPage>63</prism:endingPage>
<prism:doi>10.12691/ajams-13-3-2</prism:doi>
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