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Author Nkegbe, Paul Kwame, author

Title Poverty and malaria morbidity : a study using count regression model / Paul Kwame Nkegbe, Naasegnibe Kuunibe
Published London : SAGE Publications Ltd, 2019
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Sage Research Methods Cases    View Resource Record  

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Description 1 online resource
Series SAGE Research Methods. Cases
SAGE Research Methods. Cases
Summary This case study provides a clear example of what to think about in conducting a primary research and the need to clearly measure your variables to reflect your analytical approach as well as context. In particular, we highlight the various count models and explain when to use what. Malaria control programs usually pay little attention to the role socio-economic factors play in disposing households to morbidity due to the disease. This fact is particularly important in low-income settings and especially among poor households. Our earlier research attempted filling this gap. However, this was done from the orientation of applied economics, so in stating the title we made sure that the purpose of the research as well as our analytical approach are highlighted. This is important in carrying the reader along from the beginning on what research problem we are addressing and how we seek to do so. We also identified household socio-economic factors which affect malaria morbidity, not only from the point of view of theory but also from the context in which the study was conducted. The context was particularly important for us to give clear constructs to our variables and ask our questions in such a way to reflect, for example, what would constitute poverty in such a setting, given the term "poverty" is relative. The count regression approach allowed us to establish the link between malaria and poverty
Bibliography Includes bibliographical references and index
Notes Description based on XML content
Subject Malaria -- Economic aspects -- Case studies.
Malaria -- Epidemiology -- Case studies.
Genre/Form Case studies.
Case studies.
Form Electronic book
Author Kuunibe, Naasegnibe, author
ISBN 1526479494
9781526479495 (ebook)