Publications
| Title | Author | Year | Language | Keywords | Abstract | Shortname | Download |
|---|---|---|---|---|---|---|---|
| Abstract | Shortname | Download | |||||
| Guidelines for Core Population Coverage Indicators for Roll Back Malaria: To Be Obtained from Household Surveys | Roll Back Malaria, WHO, UNICEF, MEASURE Evaluation | 2004 | English | Malaria, Public Health | An effective system for monitoring progress and evaluating results is critical for assessing the success of the Roll Back Malaria (RBM) partnerships technical strategies. To facilitate this process, the RBM partners established a set of core indicators for population coverage that can be collected through household surveys that permit national-level monitoring of these technical strategies. The purpose of this manual is to provide country partners with technical guidance on the detailed specifications of the core indicators for population coverage that can be measured through household surveys, the data required for their construction, as well as issues related to their interpretation. Details of the data collection methods required for estimating these indicators through national-level household surveys are also provided. Developed by the RBM partnership, World Bank, the United Nations Childrens Fund (UNICEF), and MEASURE Evaluation, this manual is intended to maximize internal consistency and comparability of the indicators across countries and over time, and to ensure consistency in the types of data collection methods used. | ms-04-12 | ms-04-12-1.pdf (682 KB) |
| Malaria Surveillance and Response: A Comprehensive Curriculum and Implementation Guide | 2013 | English | Health Workers, Kenya, Malaria, MEASURE Evaluation PIMA | The Division of Malaria Control (DOMC) in Kenya has been in the process of operationalizing the WHO Manual for Surveillance in endemic settings. The DOMC has so far realized the adoption of common indicators and dashboards for malaria program monitoring. With the aim of determining whether the data required for malaria surveillance indicators exists at the national, sub-national (district and health facility) level a series of international and national consultative workshops were held, a gap analysis of the existing systems carried out and a pilot of malaria surveillance data collection tool conducted in selected districts. In this regard, the DOMC has developed the curriculum to train health workers on how to carry out an effective malaria surveillance at all service levels in the awareness that surveillance systems consists of tools procedures, people and structures which are required to generate information for planning, monitoring and evaluating malaria programs. This resource presents the foundation of the curriculum and implementation guide, showing detailed front matter, the module titles, objectives, and content. Access a related trainer's manual and participant's manual. | ms-13-77a | ms-13-77a-1.pdf (8 MB) | |
| Malaria Surveillance and Response: A Comprehensive Curriculum and Implementation Guide Trainers Manual | 2013 | English | Health Workers, Kenya, Malaria, MEASURE Evaluation PIMA | The Division of Malaria Control (DOMC) in Kenya has been in the process of operationalizing the WHO Manual for Surveillance in endemic settings. The DOMC has so far realized the adoption of common indicators and dashboards for malaria program monitoring. With the aim of determining whether the data required for malaria surveillance indicators exists at the national, sub-national (district and health facility) level a series of international and national consultative workshops were held, a gap analysis of the existing systems carried out and a pilot of malaria surveillance data collection tool conducted in selected districts. In this regard, the DOMC has developed the curriculum to train health workers on how to carry out an effective malaria surveillance at all service levels in the awareness that surveillance systems consists of tools procedures, people and structures which are required to generate information for planning, monitoring and evaluating malaria programs. This trainer's manual presents the sample pretest and post test questions for the course. Access the related curriculum and implementation guide and participant's manual. | ms-13-77b | ms-13-77b-1.pdf (7 MB) | |
| Malaria Surveillance and Response: A Comprehensive Curriculum and Implementation Guide Participants Manual | 2013 | English | Health Workers, Kenya, Malaria, MEASURE Evaluation PIMA | The Division of Malaria Control (DOMC) in Kenya has been in the process of operationalizing the WHO Manual for Surveillance in endemic settings. The DOMC has so far realized the adoption of common indicators and dashboards for malaria program monitoring. With the aim of determining whether the data required for malaria surveillance indicators exists at the national, sub-national (district and health facility) level a series of international and national consultative workshops were held, a gap analysis of the existing systems carried out and a pilot of malaria surveillance data collection tool conducted in selected districts. In this regard, the DOMC has developed the curriculum to train health workers on how to carry out an effective malaria surveillance at all service levels in the awareness that surveillance systems consists of tools procedures, people and structures which are required to generate information for planning, monitoring and evaluating malaria programs. This participant's manual presents PowerPoint presentationsused for all modules of the course. Access a relatedcurriculum and implementation guideandtrainer's manual. | ms-13-77c | ms-13-77c-1.pdf (7 MB) | |
| Gender Differences in the Use of Insecticide-Treated Nets After a Universal Free Distribution Campaign in Kano State, Nigeria: Post-Campaign Survey Results | Garley AE, Ivanovich E, Eckert E, Negroustoueva S, Ye Y. | 2013 | English | Background Recent expansion in insecticide-treated net (ITN) distribution strategies range from targeting pregnant women and children under five and distributing ITN at antenatal care and immunization programmes, to providing free distribution campaigns to cover an entire population. These changes in strategy raise issues of disparities, such as equity of access and equality in ITN use among different groups, including females and males. Analysis is needed to assess the effects of gender on uptake of key malaria control interventions. A recent post-universal free ITN distribution campaign survey in Kano State, Nigeria offered an opportunity to look at gender effects on ITN use. Methods A post-campaign survey was conducted three to five months after the campaign in Kano State, Nigeria from 19 October to 4 November, 2009, on a random sample of 4,602 individuals. The survey was carried out using a questionnaire adapted from the Malaria Indicator Survey. Using binary logistic regression, controlling for several covariates, the authors assessed gender effects on ITN use among individuals living in households with at least one ITN. Results The survey showed that household ITN ownership increased more than 10-fold, from 6% before to 71% after the campaign. There was no significant difference between the proportion of females and males living in households with at least one ITN. However, a higher percentage of females used ITNs compared to males (57.2%vs 48.8%). After controlling for several covariates, females remained more likely to use ITNs compared to males (OR: 1.5, 95% CI: 1.3-1.7). Adolescent boys remained the least likely group to use an ITN. Conclusions This study reveals gender disparity in ITN use, with males less likely to use ITNs particularly among ages 1525years. The uptake of the intervention among the most at-risk group (females) is higher than males, which may be reflective of earlier strategies for malaria interventions. Further research is needed to identify whether gender disparities in ITN use are related to traditional targeting of pregnant women and children with malaria interventions; however, results provide evidence to design gender-sensitive messaging for universal ITN distribution campaigns to ensure that males benefit equally from such communications and activities. | ja-13-151 | ||
| Household Survey Indicators for Malaria Control | 2013 | English | The purpose of this manual is to provide detailed specifications for malaria control indicators that can be measured through household surveys and the data that are required for their construction, as well as the issues related to their interpretation. Details of the data collection methods required for estimating these indicators through national level household surveys are also provided. This manual is intended to maximize internal consistency and comparability of the indicators and the types of data collection methods used across countries and over time. | ms-13-78 | ms-13-78-1.pdf (4 MB) | ||
| Fact Sheet: M&E of Malaria Control Programs: Building Capacity through Regional Workshops | 2014 | English | Evaluation, Malaria, Monitoring | MEASURE Evaluation and implementing partners, Centre de Recherche en Sant de Nouna (CRSN), Burkina Faso and University of Ghana School of Public Health (UGSPH), Ghana, implemented regional Anglophone and Francophone workshops from 2010 to 2014 to strengthen capacity in the monitoring and evaluation (M&E) of malaria, in response to increased funding for malaria control programs in sub-Saharan Africa and a need for strong information system support to inform malaria program planning. | fs-14-135 | fs-14-135-1.pdf (2 MB) | |
| Improving Estimates of Insecticide-treated Mosquito Net Coverage from Household Surveys: Using geographic coordinates to account for endemicity | Burgert CR, Bradley SE, Arnold F, Eckert E | 2014 | English | GIS, Malaria | Coverage estimates of insecticide-treated nets (ITNs) are often calculated at the national level, but are intended to be a proxy for coverage among the population at risk of malaria. The analysis uses data for surveyed households, linking survey enumeration areas (clusters) with levels of malaria endemicity and adjusting coverage estimates based on the population at risk. This analysis proposes an approach that is not dependent on being able to identify malaria risk in a location during the survey design (since survey samples are typically selected on the basis of census sampling frames that do not include information on malaria zones), but rather being able to assign risk zones after a survey has already been completed. The analysis uses data from 20 recent nationally representative Demographic and Health Survey (DHS), Malaria Indicator Surveys (MIS), an AIDS Indicator Survey (AIS), and an Anemia and Malaria Prevalence Survey (AMP). The malaria endemicity classification was assigned from the Malaria Atlas Project (MAP) 2010 interpolated data layers, using the Geographic Positioning System (GPS) location of the survey clusters. National ITN coverage estimates were compared with coverage estimates in intermediate/high endemicity zones (i.e., the population at risk of malaria) to determine whether the difference between estimates was statistically different from zero (p-value <0.5). Endemicity varies substantially in eight of the 20 studied countries. In these countries with heterogeneous transmission of malaria, stratification of households by endemicity zones shows that ITN coverage in intermediate/high endemicity zones is significantly higher than ITN coverage at the national level (Burundi, Kenya, Namibia, Rwanda, Tanzania, Senegal, Zambia, and Zimbabwe.). For example in Zimbabwe, the national ownership of ITNs is 28%, but ownership in the intermediate/high endemicity zone is 46%. Incorporating this study's basic and easily reproducible approach into estimates of ITN coverage is applicable and even preferable in countries with areas at no/low risk of malaria and will help ensure that the highest-quality data are available to inform programmatic decisions in countries affected by malaria. The extension of this type of analysis to other malaria interventions can provide further valuable information to support evidence-based decision-making. | ja-14-186 | ja-14-186-1.pdf (346 KB) |
| Guidance for Evaluating the Impact of National Malaria Control Programs in Highly Endemic Countries | Mortality Task Force of the Roll Back Malaria Partnership's Monitoring and Evaluation Group | 2014 | English | Evaluation, Malaria | In 2007, the Roll Back Malaria Partnership's Monitoring and Evaluation Group (MERG) proposed the use of a plausibility design to measure impact of malaria control programs.Since then, new measurement needs and evidence have emerged, requiring an updated approach. This document reviews and updates the 2007 evaluation framework and provides recommendations for evaluating the scale-up of malaria control interventions in endemic countries. | ms-15-100 | ms-15-100-1.pdf (2 MB) |
| Timeliness of Malaria Treatment in Children Under Five Years of Age in Sub-Saharan Africa: A Multicountry Analysis of National Household Survey Data | Shah JA, Emina JBO, Ye Y | 2014 | English | ACT, Child Health, Malaria | Malaria is one of the most severe public health problems worldwide, particularly for children under five years of age. The World Health Organization recommends prompt diagnosis and treatment with effective antimalarial medicines within 24 hours of the onset of fever. Delays in treatment can have fatal consequences, particularly if the infection is severe, but few studies systematically assess these delays among children under five years of age in Sub-Saharan Africa (SSA). This study examined the extent to which children under five years of age across SSA received an antimalarial treatment within 24 hours of the reported onset of fever. The study also investigated children under five years of age who received a first-line artemisinin combination therapy (ACT) within 24 hours of the reported onset of fever. Finally, the study identified predictors of prompt treatment with ACT and describes profiles of children who received this recommended treatment. The study focuses on the following countries prioritized by the United States Presidents Malaria Initiative (PMI): Angola, Benin, Ethiopia, Ghana, Kenya, Liberia, Madagascar, Malawi, Mali, Mozambique, Rwanda, Senegal, Tanzania mainland, Uganda, Zambia, and Zanzibar. | sr-15-119 | sr-15-119-1.pdf (4 MB) |