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Iris Publishers | Have a Happy Easter
May the holy spirit of Easter fill your home with hope, love and peace. Wishing you a very happy Easter.
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ISSN 2641-6336 (Online) | Annals of biostatistics & biometric applications
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Iris Publishers_Open access journals of Biostatistics
Authored by İlker Etikan
Health and Social Assessment of Internally Displaced People (IDP) in Nigeria
Introduction: The problems of Internally Displaced Peoples (IDPs) have continued to generate global debate in recent times owing to its negative implication on society organization structure and public health. The major drivers of forced human displacement have been attributed to global climate change and armed human conflicts and the developing countries are worst hit with very dearth aftermath effect of this unplanned human displacement. Nigeria as a pivotal country in the sub-Saharan region of Africa and the entire Africa continent at large have not been spared from this sordid occurrence.
Method: The article considers review of some published reports by several humanitarian organizations such as WHO, UN, IDMC and other published articles.
Result: The increasing armed conflict in the North-East Region of Nigeria is geometrically increasing the numbers of IDPs in the country. Many families are at risks of poverty, hunger and disease. And also, the dearth impact of this forced displacement has continued to lower the Nigeria rankings in global health and socio-economic indicators.
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Iris Publishers_Open access journals of Biostatistics
Authored by Ayodeji Samson Bagbe
Statistical Analysis of Ebola Virus Disease outbreak in Some West Africa Countries using S-I-R Model
The 2013-2016 West Africa Ebola virus outbreaks has brought to light the relevance of epidemic modeling at a time when many acute illnesses are no longer considered a credible threat to Public Health. The increasing connectivity between regions, countries, and continents makes it to understand the mechanisms that drive the spread of new acute illnesses and our ability to control them at the source more important now than ever before. Ebola virus in particular is deadly, poorly understood, and capable of causing a large-scale threat to Public Health. The general epidemiology of the Ebola Virus Disease (EVD) is considered, analyzed statistically and modeled using the SIR model. The non-linear systems of differential equation formulated were solved numerically using Ms Excel spread sheet over time period of 120 days. For simplicity, Guinea as one of the three West African Countries that was hit severely by EVD in 2014 was used for this study. As stated earlier, modeling infectious disease dynamics demands that we investigate whether the disease spread could attain an epidemic level or it could be wiped out. The Ebola Virus Disease is spread largely through contacts between an infected person and a non-infected person. Infected people cannot be entirely separated from the rest of the large population. The separation can only be done when an infected person visits a health center.
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#journals of biostatistics#Medical Statistics#Computational Biology#Biometric journals#journal of applied biostatistics
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ISSN 2641-6336 (Online) | Annals of biostatistics & biometric applications
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Iris Publishers | Open access journals of Biostatistics & Biometric Applications
Road Traffic Accidents, Near-Misses and their Associated Factors among Commercial Tricycle Drivers in a Nigerian City
Background: Tricycles form an important part of the intra-city transport system, following the ban placed on motorcycles in Maiduguri, Nigeria. However, no previous studies have been conducted to assess the occurrence of accidents among them.
Objectives: The objective of this study was to determine the prevalence of road accidents, near-misses, and their associated factors among commercial tricycle drivers in Maiduguri.
Methods: A cross-sectional study was conducted among registered commercial tricycle drivers in Maiduguri who had been in the business for at least a year. Data was collected through face-to-face interviews, using a structured questionnaire, and was subjected to bivariate and multivariate analysis using SPSS.
Results: The prevalence of road accidents and near misses were 46% and 50.3% respectively. Only six (3.9%) of respondents who had experienced a near-miss mentioned that they occurred while they were fully awake; during clear weather; and on a smooth, broad, and noncongested road. All the others had experienced the near miss under an unfavourable weather, road, and/or while feeling sleepy. In the bivariate analysis, only psycho-active substance use (χ2=3.941; df=1; p=0.047) and having experienced more than one near miss (χ2=31.807; df=1; p<0.001) were significantly associated with having an accidents. However, in the multivariate analysis, having experienced more than one near miss was the only factor which significantly predicted having an accident (OR=2.89 95% CI: 1.64-5.09; p<0.001).
Conclusion: There is a need to conduct further intervention studies to determine the effectiveness of intervention measures in reducing accident rates among these tricycle drivers.
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ISSN 2641-192X (Online) | Journal of textile science & fashion technology
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Iris Publishers_ Biostatistics Journals

Authored by Yeonhee Park*
Review of Phase II Basket Trials for Precision Medicine
The advancement of molecular biology and genomic technologies has made paradigm shift from conventional paradigm with cytotoxic agents to precision medicine using molecularly targeted agents. The premise of precision medicine is that only a subset of patients is sensitive to and benefits from a given treatment. Under this new paradigm for clinical development, studies for drug activity require to consider inter-patient heterogeneity and intra-patient heterogeneity. Basket trials evaluate the effect of the targeted therapy with a certain genetic mutation across cancer types. The basket study is increasingly becoming recognized as an attractive approach for drug development under the precision medicine paradigm. It leads to novel statistical methodologies development and conducting clinical trials based on the basket study. In this review paper, we describe the basket trials with statistical methods and examples.
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Iris Publishers_ Biostatistics Journals
Weighted Statistics for Testing Multiple Endpoints in Clinical Trials
Bonferroni, Holm, and Holm-type stepwise approaches have been well developed for the simultaneous testing of multiple hypotheses in medical experiments. Methods exist for controlling familywise error rates at their preset levels. This article shows how performance of these tests can often be substantially improved by accounting for the relative difficulty of tests. Introducing suitably chosen weights optimizes the error spending between the multiple endpoints. Such an extension of classical testing schemes generally results in a smaller required sample size without sacrificing the familywise error rate and power.
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Iris Publishers_ Biostatistics Journals

The Ampadu APT − qT − X Family of Distributions Induced by V with an Illustration to Data in the Health Sciences
The alpha power transform family of distributions ( APT −G for short) appeared in [1], and since then variants of it has been proposed, and for example, see [2]. In this paper we propose another variant of the APT −G family of distributions called the Ampadu APT −G family of distributions. Assuming G is given by the CDF of qT − X family of distributions induced by V , and for example, see [3] and [4], we show sub-models of the Ampadu APT − qT − X (V) family of distributions is significant in modeling data in the health sciences, in particular, the breast cancer patients data contained in [5]. As a further development of the APT −G family of distributions, we propose a so-called power transform family of distributions ( PT-G for short).
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Iris Publishers | International Open Access Journals
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Iris Publishers | Rossolimo sign
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Iris Publishers | Dissociation of abdominal reflexes.
#iris publishers#irispublishers#Iris Publishers LLC#open access#open access journals#open access publishers
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Iris Publishers | Open access journals of Biostatistics & Biometric Applications

Relationship between Pain Profiles and Comorbidity in Elderly Population
Introduction: Pain is an unpleasant sensory and emotional experience associated with actual and potential tissue damage. Elderly are more likely to have chronic disorders associated with pain, leading to disability and impaired quality of life.
Aim: The aim of this study was to explore the clinical profile of pain and its relationship with comorbidity in elderly population. Methods: This was an observational analytic study with cross sectional design. 111 geriatric patients with pain complaints were recruited from Neurology Department in Bethesda Hospital, Yogyakarta. Data obtained by interviewing patients that completed questionnaires to determine the pain profiles (intensity, type, properties, and location) and medical records for the comorbidity. Data were analyzed with univariate test and Chi-square test.
Result: There were 111 subjects consist of 40 (36%) males and 71 (64%) females. There were 79 patients with comorbidity (71.2%). The most common comorbidity in subjects was hypertension (63.3%), whereas the rarest was chronic kidney disease (2.5%). Mixed pain (85.6%) was the most common type of pain, multiple side pain (60.4%) was the most common location of pain, moderate pain (46.8%) was the most common pain intensity, and chronic pain (60.4%) was the most common properties of pain. Location of pain (p:0.642), type of pain (p:0.925), pain intensity (p:0.450), and pain duration (p:0.573) were not significant with patient comorbidity.
Conclusion: The comorbidity prevalence in elderly patients is 71.2%, there are no significant profile of pain that influence the comorbidity in geriatric patients.
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