Skin Diseases and their Treatment Strategies in Sub-Saharan African Regions

2021 ◽  
Vol 21 ◽  
Author(s):  
Esra Tariq Anwar ◽  
Nandan Gupta ◽  
Omji Porwal ◽  
Akanksha Sharma ◽  
Rishabha Malviya ◽  
...  
Keyword(s):  
Rural Areas ◽  
Skin Disease ◽  
Skin Diseases ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Literature Survey ◽  
Extensive Literature ◽  
Different Types ◽  
Sub Saharan ◽  
Dangerous Level

Background: In the rural areas of sub-Saharan African regions, skin diseases are so common. Due to which the population of the sub-Saharan region suffers from different types of skin disorders. In these regions, many treatment options are not available for the treatment of skin disease. Aim: The current study aims to discuss various skin diseases and their treatment strategies specifically in sub-Saharan African regions. Method: Extensive literature survey was carried out by using scopus, science direct, elsevier, google scholar and bentham science databases. Result and Discussion: It was demonstrated from the literature surveys that different effective techniques are used in the management of skin disease. In the result, it was shown that the condition of the disease is at a dangerous level which must be controlled. Conclusion: It is concluded from the manuscript that the skin disorder in the sub-Saharan region is at a very dangerous level. The research must be done to develop a better understanding of the disease and its treatment.

Maritime Archaeological Research in Sub-Saharan Africa

2021 ◽  
Author(s):  
Bruno E.J.S. Werz
Keyword(s):  
South Africa ◽  
Early Development ◽  
Maritime Archaeology ◽  
Development Stage ◽  
Literature Survey ◽  
Sub Saharan Africa ◽  
Extensive Literature ◽  
Archaeological Research ◽  
Academic Publications ◽  
Sub Saharan

Maritime archaeology in sub-Saharan Africa is still in its early development stage. An extensive literature survey indicated that relatively few projects of this nature have been undertaken in these parts. Even fewer warrant the adjective “scientific,” based on the dearth of peer-reviewed academic publications that have appeared to date. Based on the survey, it seems that most research is undertaken in South Africa, Kenya, and Namibia, and the emphasis therefore lies with these countries.

scholarly journals Vision-Based Skin Disease Identification Using Deep Learning

2019 ◽  
Vol 8 (6) ◽  
pp. 3784-3788
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Skin Disease ◽  
Medical Image ◽  
Skin Diseases ◽  
Learning Algorithm ◽  
Disease Prediction ◽  
Machine Learning Algorithm ◽  
Disease Identification ◽  
Different Types

Skin disease is the most common health problems worldwide.Human skin is one of the difficult areas topredict. The difficulty is due to rough areas, irregular skin tones, various factors like burns, moles. We have to identify the diseases excluding these factors.In a developing country like India, it is expensive for a large number of people to go to the dermatologist for their skin disease problem.Every year a large number of population in developing countries like India suffer due to different types of skin diseases. So the need for automatic skin disease prediction is increasing for the patients and as well as the dermatologist. In this paper, a method is proposed that uses computer vision-based techniques to detectvariouskinds of dermatological skin diseases. Inception_v3, Mobilenet, Resnetare three deep learning algorithms used for feature extraction in a medical image and machine learning algorithm namely Logistic Regression is used for training and testing the medical images.Using the combined architecture of the three convolutional neural networks considerable efficiency can be achieved.

scholarly journals Health Literacy of Newly-Admitted Cancer Patients in Vietnam: Difficulties Understanding Treatment Options and Processing Health-Related Information

2022 ◽  
Vol 15 ◽  
pp. 117863292110673
Author(s):  
Le Dai Minh ◽  
Bui Vinh Quang ◽  
Duong Ngoc Le Mai ◽  
Le Le Quyen ◽  
Nguyen Hoang Gia ◽  
...  
Keyword(s):  
Health Literacy ◽  
Cancer Patients ◽  
Rural Areas ◽  
Early Stage ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Adherence To Medication ◽  
Health Related

Having a good understanding of cancer patients’ health literacy in the early stage of diagnosis can help to implement strategies to improve the management process and overall health outcomes. The study aims to describe health literacy and its association with socio-demographic characteristics among newly admitted cancer patients. A cross-sectional study was conducted on 262 newly admitted patients of a cancer hospital in Vietnam using the Vietnamese version of the HLS-SF12 questionnaire. Descriptive analytics and regression analysis were used to describe health literacy and examine associated factors. Older age, lower level of education, and living in rural areas were associated with lower health literacy while there was no significant relationship between gender and health literacy among newly admitted cancer patients. Many newly admitted patients, especially the older patients have difficulties understanding the different treatment options (54%) and evaluating the reliability of health information on the internet (43%). During the early stage of treatment, strategies should be implemented with regards to patients’ health literacy, to properly educate patients and their caregivers to improve communication, adherence to medication, lifestyle, and overall better quality of life and treatment outcome.

Systematic review of cervical cancer prevalence and determinants of early detection in Sub-Saharan Africa

2018 ◽  
Vol 1 (1) ◽  
pp. 32-36
Author(s):  
Eleazar Ndabarora ◽  
Dariya Mukamusoni ◽  
Clarte Ndikumasabo ◽  
Védaste Ngirinshuti
Keyword(s):  
Cervical Cancer ◽  
Cancer Screening ◽  
Early Detection ◽  
Cervical Cancer Screening ◽  
Sub Saharan Africa ◽  
Extensive Literature ◽  
Early Management ◽  
Screening Programs ◽  
Mesh Terms ◽  
Sub Saharan

Cervical cancer is one of the leading causes of morbidity and mortality globally and in Sub-Saharan Africa in particular. There is evidence that early detection and early management of cases are the best strategies to prevent and control this health threat, since treatment of the later stages of the diseases are very expensive. The objectives of the review were: (1) to identify and review studies on the prevalence of cervical cancer and determinants of early detection in Sub-Saharan Africa, and (2) to recommend further studies and interventions based on the findings of this review. Extensive literature search was conducted using the MeSH terms. Articles on cervical cancer and/or determinants of early detection which fulfilled inclusion criteria were reviewed independently by three reviewers. The prevalence of cervical cancer in Sub-Saharan Africa is increasing. Although there are evidences that cervical cancer screening programs are practical and feasible even in resource-limited settings in Sub-Saharan Africa, there is a very low uptake of cervical cancer screening and there are key factors that need to be addressed in order to make these programs established and effective.

Development of Dermatological Skin Disease Detection and Classification based on Wavelet and ANN

2018 ◽  
Vol 8 (5) ◽  
pp. 10
Author(s):  
Revati Kadu ◽  
U. A. Belorkar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Skin Disease ◽  
Skin Diseases ◽  
Screening Method ◽  
Phase Detection ◽  
Statistical Measures ◽  
The World ◽  
Artificial Neural ◽  
Wavelet Techniques

One of the most common and augmenting health problems in the world are related to skin. The most  unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection  and classification phase.

Households Discrimination in School Enrolment in Pakistan: Does gender matter?

2018 ◽  
Vol 2 (1) ◽  
pp. 29-36
Author(s):  
Ali Muhammad ◽  
Zahoor Ul Haq ◽  
Imad Khan
Keyword(s):  
Low Income ◽  
Gender Discrimination ◽  
Rural Areas ◽  
Gender Disparity ◽  
School Enrollment ◽  
Female Education ◽  
Public And Private ◽  
Significant Difference ◽  
Different Types ◽  
Socio Economic Factors

This study uses Pakistan Social and Living Measurement Survey 2016 to study gender discrimination in school enrollment across the four provinces of Pakistan using bi-variate analysis. Results show that there is highly significant difference between male and female education in rural areas (x^2=4940.50 and p<0.05). Analysis indicate that gender disparity in enrollment is significantly higher in low income households (x^2=115.468 and P<0.05). The study also showed that as compared to male, fewer female are enrolled in both public and private sectors. Hence, socio-economic factors play important role in making decision about children enrollment in different types of school. The study recommends that government to take appropriate steps to reduce gender discrimination in school enrollment by offering subsidy on female education in the country.

Using Naïve Bayes Algorithm to Estimate the Response to Drug in Lung Cancer Patients

2019 ◽  
Vol 21 (10) ◽  
pp. 734-748 ◽  
Author(s):  
Baoling Guo ◽  
Qiuxiang Zheng
Keyword(s):  
Lung Cancer ◽  
Side Effects ◽  
Cancer Patients ◽  
Drug Response ◽  
Treatment Options ◽  
Clinical Manifestations ◽  
Treatment Strategies ◽  
Cancer Resistance ◽  
Lung Cancer Patients ◽  
Bayes Algorithm

Aim and Objective: Lung cancer is a highly heterogeneous cancer, due to the significant differences in molecular levels, resulting in different clinical manifestations of lung cancer patients there is a big difference. Including disease characterization, drug response, the risk of recurrence, survival, etc. Method: Clinical patients with lung cancer do not have yet particularly effective treatment options, while patients with lung cancer resistance not only delayed the treatment cycle but also caused strong side effects. Therefore, if we can sum up the abnormalities of functional level from the molecular level, we can scientifically and effectively evaluate the patients' sensitivity to treatment and make the personalized treatment strategies to avoid the side effects caused by over-treatment and improve the prognosis. Result & Conclusion: According to the different sensitivities of lung cancer patients to drug response, this study screened out genes that were significantly associated with drug resistance. The bayes model was used to assess patient resistance.

RURAL TOURISM IN INDIA CHALLENGES AND OPPORTUNITIES

2018 ◽  
Vol 6 (26) ◽  
Author(s):  
Pankaj Sharma ◽  
Ravi Parkash
Keyword(s):  
Private Sector ◽  
Rural Areas ◽  
Economic Condition ◽  
Rural Tourism ◽  
Rural Location ◽  
Different Types ◽  
Challenges And Opportunities ◽  
Political Background ◽  
The Government

The paper analyze the role of rural tourism for the development of rural areas, The study analyzed how the different types of tourist product diversifications influence the development possibilities of studied rural areas in India. The government should sponsor private Sector to promote tourism in rural areas. For upgrading the rural tourism government requires to understand the rural location, demography, socio-culture, financial and political background of that area. How we can involve the rural citizens to improve their socio-economic condition. The objective of this paper is to present an update on rural tourism expansion and development in India. Rural tourism is rising in terms of number of visitors and the government of India should focus on it as an engine of growth

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