This manual is designed primarily to assist managers of national malaria programmes and national reference laboratory responsible for quality assurance of malaria microscopy control. The information
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is also applicable to non-governmental organizations and funding agencies investing in quality management systems for malaria microscopy.
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Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data
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were collected, but the survey period did not overlap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
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Malaria Journal (2018) 17:460 https://doi.org/10.1186/s12936-018-2606-9
In malaria endemic countries, asymptomatic cases constitute an important reservoir of infections sustaining transmission. E
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stimating the burden of the asymptomatic population and identifying areas with elevated risk is important for malaria control in Burkina Faso.
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The 2013 RMIS is a nationally representative, household-based survey that provides data on malaria indicators, which are used to assess the progress of a malaria control program. The primary objecti
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ve of the 2013 Rwanda Malaria Indicator Survey (2013 RMIS) was to provide up-to date information on the prevention of malaria to policymakers, planners, and researchers.
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High levels of storage iron may increase malaria susceptibility. This risk has not been investigated in semi-immune adolescents. We investigated whether baseline iron status of nonpregnant adolescent girls living in a high
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malaria transmission area in Burkina Faso affected malaria risk during the following rainy season. For this prospective study, we analysed data from an interim safety survey, conducted six months into a randomised iron supplementation trial. We used logistic regression to model the risk of P. falciparum infection prevalence by microscopy, the pre-specified interim safety outcome, in relation to iron status, nutritional indicators and menarche assessed at recruitment.
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The main objective of the 2014-15 RDHS was to obtain current information on demographic and health indicators, including family planning; maternal mortality; infant and child mortality; nutrition status of mothers and children; prenatal care, delivery, and postnatal care; childhood diseases; and ped
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iatric immunization. In addition, the survey was designed to measure indicators such as domestic violence, the prevalence of anemia and malaria among women and children, and the prevalence of HIV infection in Rwanda. For the first time, this 2014-15 RDHS also includes indicators to monitor HIV testing among children age 0-14 as well as domestic violence for males age 15-59.
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Long-lasting insecticide-treated nets and/or indoor residual spraying, associated with case
management, are key interventions in the control of malaria in Africa. The objective of this
study is to comment on the role of social and behavior change
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communication as a potential
key intervention in the control of malaria in Mozambique.
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The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals
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(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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DHS Working Papers No. 85