Literature DB >> 15331835

Do malaria control interventions reach the poor? A view through the equity lens.

Lawrence M Barat1, Natasha Palmer, Suprotik Basu, Eve Worrall, Kara Hanson, Anne Mills.   

Abstract

Malaria, more than any other disease of major public health importance in developing countries, disproportionately affects poor people, with 58% of malaria cases occurring in the poorest 20% of the world's population. If malaria control interventions are to achieve their desired impact, they must reach the poorest segments of the populations of developing countries. Unfortunately, a growing body of evidence from benefit-incidence analyses has demonstrated that many public health interventions that were designed to aid the poor are not reaching their intended target. For example, the poorest 20% of people in selected developing countries were as much as 2.5 times less likely to receive basic public health services as the least-poor 20%. In the field of malaria control, a small number of studies have begun to shed light on differences by wealth status of malaria burden and of access to treatment and prevention services. These early studies found no clear difference in fever incidence based on wealth status, but did show significant disparities in both the consequences of malaria and in the use of malaria prevention and treatment services. Further study is needed to elucidate the underlying factors that contribute to these disparities, and to examine possible inequities related to gender, social class, or other factors. To achieve impact and overcome such inequities, malaria control efforts must begin to incorporate approaches relevant to equity in program design, implementation, and monitoring and evaluation. Copyright 2004 The American Society of Tropical Medicine and Hygiene

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Year:  2004        PMID: 15331835

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  43 in total

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Authors:  Mary Tuba; Ingvild F Sandoy; Paul Bloch; Jens Byskov
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2.  Barriers to prompt and effective malaria treatment among the poorest population in Kenya.

Authors:  Jane Chuma; Vincent Okungu; Catherine Molyneux
Journal:  Malar J       Date:  2010-05-27       Impact factor: 2.979

3.  Interpreting malaria age-prevalence and incidence curves: a simulation study of the effects of different types of heterogeneity.

Authors:  Amanda Ross; Thomas Smith
Journal:  Malar J       Date:  2010-05-17       Impact factor: 2.979

4.  Improving estimates of insecticide-treated mosquito net coverage from household surveys: using geographic coordinates to account for endemicity.

Authors:  Clara R Burgert; Sarah E K Bradley; Fred Arnold; Erin Eckert
Journal:  Malar J       Date:  2014-07-04       Impact factor: 2.979

5.  Implementing Intermittent Preventive Treatment for Malaria in Pregnancy: Review of Prospects, Achievements, Challenges and Agenda for Research.

Authors:  Godfrey Martin Mubyazi; Pascal Magnussen; Catherine Goodman; Ib Christian Bygbjerg; Andrew Yona Kitua; Oystein Evjen Olsen; Jens Byskov; Kristian Schultz Hansen; Paul Bloch
Journal:  Open Trop Med J       Date:  2008

Review 6.  Analysis of social epidemiology research on infectious diseases: historical patterns and future opportunities.

Authors:  Justin M Cohen; Mark L Wilson; Allison E Aiello
Journal:  J Epidemiol Community Health       Date:  2007-12       Impact factor: 3.710

7.  Intermittent preventive treatment of malaria during pregnancy in central Mozambique.

Authors:  Paula E Brentlinger; Martinho Dgedge; Maria Ana Chadreque Correia; Ana Judith Blanco Rojas; Francisco Saúte; Kenneth H Gimbel-Sherr; Benjamin A Stubbs; Mary Anne Mercer; Stephen Gloyd
Journal:  Bull World Health Organ       Date:  2007-11       Impact factor: 9.408

8.  The impact of primary health care on malaria morbidity--defining access by disease burden.

Authors:  W P O'Meara; A Noor; H Gatakaa; B Tsofa; F E McKenzie; K Marsh
Journal:  Trop Med Int Health       Date:  2008-12-11       Impact factor: 2.622

9.  Knowledge on the transmission, prevention and treatment of malaria among two endemic populations of Bangladesh and their health-seeking behaviour.

Authors:  Syed Masud Ahmed; Rashidul Haque; Ubydul Haque; Awlad Hossain
Journal:  Malar J       Date:  2009-07-29       Impact factor: 2.979

10.  Are there geographic and socio-economic differences in incidence, burden and prevention of malaria? A study in southeast Nigeria.

Authors:  Obinna Onwujekwe; Benjamin Uzochukwu; Nkem Dike; Chijioke Okoli; Soludo Eze; Ogoamaka Chukwuogo
Journal:  Int J Equity Health       Date:  2009-12-23
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