A Comparative Analysis: Everyday Experiences of Disability in Sierra Leone

Africa Today ◽  
2011 ◽  
Vol 58 (2) ◽  
pp. 19 ◽  
Author(s):  
Berghs ◽  
Dos Santos––Zingale
Keyword(s):  
Comparative Analysis ◽  
Sierra Leone ◽  
Everyday Experiences

scholarly journals Mathematical modeling and comparative analysis of the Ebola epidemic reveal effective control measures

2019 ◽  
Author(s):  
Junlong Li ◽  
Caiping Song ◽  
Jingya Yang ◽  
Jingmin Zheng ◽  
Lina Zhou ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Comparative Analysis ◽  
Sierra Leone ◽  
Development Process ◽  
Ebola Virus ◽  
Virus Disease ◽  
Control Measures ◽  
Effective Control ◽  
Epidemic Outbreak ◽  
And Control

Abstract The Ebola virus disease (EVD) is a highly contagious disease which is caused by the Ebola virus . Various measures were used to prevent and control the spread of EVD. The aim of this study was to find out the most critical measures to prevent and control the spread of EVD. Both mathematical modeling and comparative analysis were used to explore the development process of EVD outbreak in Guinea, Liberia and Sierra Leone. The results of comparative analysis showed quarantined individuals before infection (R 2 = 0.848, ε = 1.012), safe burial teams (R 2 = 0.772, ε = 0.385), and the Ebola treatment units (ETU) bed (R 2 = 0.690, ε = 0.432) could significantly influence the incidence of EVD which were consistent with the results of mathematical modeling. These findings indicted that a timely and effective quarantine played a significant role in preventing and controlling the spread of EVD, and the findings would help us prevent and control the epidemic outbreak of new infectious disease in the future.

scholarly journals Comparative Analysis of Host Cell Entry of Ebola Virus From Sierra Leone, 2014, and Zaire, 1976

2015 ◽  
Vol 212 (suppl 2) ◽  
pp. S172-S180 ◽  
Author(s):  
Heike Hofmann-Winkler ◽  
Kerstin Gnirß ◽  
Florian Wrensch ◽  
Stefan Pöhlmann
Keyword(s):  
Comparative Analysis ◽  
Host Cell ◽  
Sierra Leone ◽  
Ebola Virus ◽  
Cell Entry ◽  
Host Cell Entry

scholarly journals Inheritance, contact, convergence

2019 ◽  
Vol 40 (2) ◽  
pp. 202-227 ◽  
Author(s):  
Kofi Yakpo
Keyword(s):  
Comparative Analysis ◽  
Sierra Leone ◽  
Equatorial Guinea ◽  
Processes Of Change ◽  
Personal Pronouns ◽  
Obligatory Contour Principle ◽  
Cross Diffusion ◽  
Founder Populations ◽  
Suppletive Allomorphy ◽  
Vowel Height

Abstract This article provides a comparative analysis of the suppletive allomorphy of two personal pronouns in the five African English-lexifier Creoles (AECs) Krio (Sierra Leone), Pichi (Equatorial Guinea), Ghanaian Pidgin English, Nigerian Pidgin, and Cameroon Pidgin. The alternation of the 3sg object forms =àm (a clitic) and ín (a non-clitic) is conditioned by a tonal obligatory contour principle (ocp), a vowel height ocp, animacy, and focus in different constellations across the five AECs. In addition, an epenthetic /r/ is recruited in four of the AECs to ensure that the ocp is not breached. The analyses suggest that pronominal suppletion in the AECs has been fashioned by processes of change and differentiation typical of geographically extensive language families, such as migration from linguistic homelands, acquisition by non-founder populations, interlectal cross-diffusion, as well as contact and convergence with adstrate, substrate, and superstrate languages.

Land use/land cover change evaluation using land change modeller: A comparative analysis between two main cities in Sierra Leone

2019 ◽  
Vol 16 ◽  
pp. 100262
Author(s):  
Musa Tarawally ◽  
Xu Wenbo ◽  
Hou Weiming ◽  
Terence Darlington Mushore ◽  
Matthew Biniyam Kursah
Keyword(s):  
Land Use ◽  
Comparative Analysis ◽  
Land Cover ◽  
Sierra Leone ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
Land Change

scholarly journals Understanding perceptions of recovery from psychological distress in Sierra Leone through qualitative comparative analysis

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kanykey Jailobaeva ◽  
Rebecca Horn ◽  
Abdulai Jawo Bah ◽  
Giulia Loffreda ◽  
Alastair Ager
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Comparative Analysis ◽  
Sierra Leone ◽  
Predictive Factors ◽  
Health Research ◽  
Qualitative Comparative Analysis ◽  
Mental Health Research ◽  
Truth Table ◽  
Work Study

AbstractQualitative comparative analysis (QCA) is a relatively new method that examines causal complexity. Its use in mental health research is nascent. In low-income and fragile settings, with weak mental health service provision, identifying pathways of recovery from psychological distress can inform the appropriate deployment of scarce community and public resources. This paper examines the use of QCA to identify predictors of recovery in Sierra Leone. Our study explored lay perceptions of the signs of recovery from psychological distress caused by such events as the loss of a family member, severe sickness, and loss of a relationship. The data drew upon 75 interviews with women and men, across four districts of Sierra Leone, who described the signs of recovery from psychological distress they have observed in one person known to them. The truth table generated through QCA software indicated two signs of recovery— work/study and healthy relations—to be the most prevalent across different combinations of predictive factors. Further analysis of the truth table and sub-set relations suggested that work/study and healthy relations frequently served as sufficient conditions for reported recovery from distress to occur. QCA provided a means to identify sufficient predictive factors for recovery from psychological distress to occur. The findings suggest that to enable recovery from psychological distress, support needs to be broad and bring together services that will enable individuals to improve their social and relational wellbeing. Responses to distress need to involve a wide range of community-based stakeholders who will help individuals to engage in constructive activity and strengthen relations with their family members, friends, and the broader community. QCA is potentially well-positioned to unpack complexity in mental health research.

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