Tag Archives: Epidemiology

Epidemiological and Clinical Profile of Iraqi Patients with β-Thalassemia Major (Published)

Thalassemia is an autosomal recessive inherited blood disorder due to hemoglobin-production abnormalities. Over the past three decades, hyper-transfusion therapy in these patients has shown significant increase in life expectancy and quality of life. unfortunately, this type of therapy also increased the frequency of complications due to iron overload. The study aims to identify the Sociodemographic and clinical characteristics of patients with thalassemia, and to assess transfusion related complication among them. A descriptive, cross-sectional study was conducted in Thalassemia Center in Al-Najaf province in Iraq, during the period from the 1st of April to the 31st of August 2018. Data were collected through direct interview with patients/parents using a specially designed questionnaire form. A total of 175 transfusion dependent thalassemia major patients were included, the mean age 10. 5 years ranging from 5 m to 34years. Patients under 10 years of age represented the highest rate with Male: Female ratio 1.2:1. 60% were from rural area with high percentage of parental consanguinity (70%). The study documented the relationship between iron over load and appearance of complications. Development of preventive measures as genetic counseling, prenatal diagnosis, pre-marital screening are the best ways to decrease the incidence of disease, in addition to regular blood transfusion with optimum chelation therapy.

Citation: Ebtissam Yasseen Ali   and    Maysaloun Muhammed Abdulla (2022) Epidemiological and Clinical Profile of Iraqi Patients with β-Thalassemia Major, International Journal of Dentistry, Diabetes, Endocrinology and Oral Hygiene, Vol. 4, No,2, pp, 1-15

 

 

Keywords: Anaemia, Epidemiology, thalassemia

Stylistic Analysis of President Buhari’s Addresses of Nigerians in the Face of Covid-19 Pandemic (Published)

The role of language in any speech event cannot be overemphasized. Language is the vehicle through which political speeches are carried out. This study investigated two speeches of President Muhammadu Buhari during the coronavirus (Covid-19) pandemic to ascertain how he has employed language, the linguistic elements used and the stylistic and pragmatic imports. Using the theoretical framework of stylistics, the researcher found out that Buhari tactfully used words to address Nigerians on Covid-19 and stressed the measures to be taken to contain the spread of the virus. To achieve the pragmatic effect of his speeches, he used lexical devices such as transitional makers, repetition, alliteration, assonance, pronouns to project the theme/subject matter of the language discourse. It was found out that the speaker used coordination to denote relationship of grammatical units, show contrast and as a re-statement of what he said earlier. The speaker repeatedly used coordination in his speeches and this is commendable since in language, identical items may be conjoined in an indefinite number of times. The analysis revealed that president is committed in combating the coronavirus pandemic that is ravaging his nation.

Keywords: COVID-19, Epidemiology, Language, Stylistics, medical register, pandemic

Application of Logistic Regression Models for the Evaluation of Cholera Outbreak in Adamawa State Nigeria (Published)

Cholera outbreak occurred in four local government area of Adamawa state namely; Yola north, Yola south, Girei and Song between 11th may 2019 to 26th august 2019. WHO teams recorded 687 cholera patient whom received treatment at their various CTC with only 4 death as of the period of the outbreak. I explore cases of the disease outbreak, analyzed and estimate the parameters (demographic status and exploratory data) associated to the treatment outcome of the patients, identify the spread rate and targeted risk level using binary logistics regression. Our analysis has indicated that Yola North is the most affected area, majority of the patients are female and most of the respondent are children within the age group 1-14 years. The results depict that none of the demographic status was significantly associated with the mortality, similarly no significant association was observed for Culture status, Lab. Sample and Hospitalize status of the patients with mortality. However, the results of the association test between RDT status and mortality show that 2(0.3% of the total) who were RDT positive, were significantly associated with mortality. The binary logistic regression model estimations show that RDT, Culture, hospitalize status and LGA of the patients are the significant relationships at 10%, 10%, 5% and 10% levels respectively that determine the responses of patients to cholera treatment. Therefore, the findings depict that 99.4% of the patients “Alive” and 0.6% were “Dead”, this implies that the cholera treatment is very effective during the outbreak. Subsequently, it was deduced that the forecasting performance of the findings on both probit and logit regression model estimation from our analysis conform with the binary regression result.

Keywords: Epidemiology, Probit, RDT, binary regression, cholera, logit

Hiv/Aids in Pregnancy Process and Endogenous Life Fluctuation in Least Developed Economics (Published)

This article studies transmission risk from mother to child during the pregnancy process where the immune system acts like health defense in an endogenous growth model with epidemiological literature. When the transmission risk becomes positive, the system defense also increases in order to stop the pandemic propagation. Since a given level is crossed, fixed points are ruled out, then cycles and chaos arise, thus makes population growth tends to zero. The social planner’s intervention in order to ensure population growth reaches the steady state defines a unique optimal path where per-capital capital must be monotonic and increasing in development economics. The application of the theory shows the existence of a stable locus where the gap between lives fluctuations and the steady state tends to zero.

Keywords: Chaos, Cycles, Epidemiology, Growth, Infectious diseases, Spectrum Convergence, optimal steady state