This Malaria Behavior Survey (MBS) data asset includes representative data on the determinants of malaria-related behaviors from urban and rural areas in the Northern, Central, and Southern regions of Malawi, collected between May 26th and July 1st 2021. The goal of this study was two-fold: 1) to provide a better understanding of the socio-demographic, attitudinal, and normative characteristics (also referred to as ideational characteristics) associated with malaria-related behavioral outcomes in the Northern, Central, and Southern regions of Malawi and 2) to determine the appropriate focus of programmatic activities designed to improve malaria-related ideational and behavioral outcomes. This study used a cross-sectional survey design with a random sample of women and men using structured questionnaires. Respondents were selected through a multi-step cluster random sampling approach. The research team collected relevant information from 3,862 households, which included 4,181 women of reproductive age and 1,304 of their male spouses/partners.

This Malaria Behavior Survey (MBS) dataset includes representative data on the determinants of malaria-related behaviors from urban and rural areas in the Northern, Central, and Southern regions of Malawi, collected between May 26th and July 1st 2021. The goal of this study was two-fold: 1) to provide a better understanding of the socio-demographic, attitudinal, and normative characteristics (also referred to as ideational characteristics) associated with malaria-related behavioral outcomes in the Northern, Central, and Southern regions of Malawi and 2) to determine the appropriate focus of programmatic activities designed to improve malaria-related ideational and behavioral outcomes. This study used a cross-sectional survey design with a random sample of women and men using structured questionnaires. Respondents were selected through a multi-step cluster random sampling approach. The research team collected relevant information from 3,862 households, which included 4,181 women of reproductive age and 1,304 of their male spouses/partners.

The women's questionnaire dataset is a compiliation of all the responses to the women's questionnaire of the Malaria Behavior Survey. This Malaria Behavior Survey (MBS) dataset includes representative data on the determinants of malaria-related behaviors from urban and rural areas in the Northern, Central, and Southern regions of Malawi, collected between May 26th and July 1st 2021. The goal of this study was two-fold: 1) to provide a better understanding of the socio-demographic, attitudinal, and normative characteristics (also referred to as ideational characteristics) associated with malaria-related behavioral outcomes in the Northern, Central, and Southern regions of Malawi and 2) to determine the appropriate focus of programmatic activities designed to improve malaria-related ideational and behavioral outcomes. This study used a cross-sectional survey design with a random sample of women and men using structured questionnaires. Respondents were selected through a multi-step cluster random sampling approach. The research team collected relevant information from 3,862 households, which included 4,181 women of reproductive age and 1,304 of their male spouses/partners.

The men’s questionnaire dataset is a compiliation of all the responses to the men's questionnaire of the Malaria Behavior Survey in Malawi. This Malaria Behavior Survey (MBS) dataset includes representative data on the determinants of malaria-related behaviors from urban and rural areas in the Northern, Central, and Southern regions of Malawi, collected between May 26th and July 1st 2021. The goal of this study was two-fold: 1) to provide a better understanding of the socio-demographic, attitudinal, and normative characteristics (also referred to as ideational characteristics) associated with malaria-related behavioral outcomes in the Northern, Central, and Southern regions of Malawi and 2) to determine the appropriate focus of programmatic activities designed to improve malaria-related ideational and behavioral outcomes. This study used a cross-sectional survey design with a random sample of women and men using structured questionnaires. Respondents were selected through a multi-step cluster random sampling approach. The research team collected relevant information from 3,862 households, which included 4,181 women of reproductive age and 1,304 of their male spouses/partners.

This data asset contains data from PMI Impact Malaria (IM) Basic Malaria Diagnostic Refresher Training (bMDRT). IM supported the training and capacity building of laboratory technicians in the Democratic Republic of Congo (DRC) on diagnostic management through six training modules on theory, parasite detection, parasite identification, parasite density, sensitivity, and specificity.

Data from PMI Impact Malaria (IM) Malaria Diagnostic Refresher Training (MDRT). IM supported the training and capacity-building of laboratory technicians in the Democratic Republic of the Congo on diagnostic management.

Data from basic and advanced Malaria Diagnostics Refresher Trainings (bMDRT and aMDRT, respectively) which PMI IM Tanzania facilitated in both Fiscal Year 2021 and Fiscal Year 2022. IM supported skills building to health care providers adding up to a pool of diagnostic supervisors in Zanzibar and Mainland Tanzania. IM worked with Zanzibar Malaria Elimination Program (ZAMEP) and NMCP to identify and select national and district level supervisors. IM Tanzania collaborated with ZAMEP, NMCP and National Public Health Laboratory (NPHL) to identify and select district- level clinicians from government admitting facilities (health centres and hospitals) and from other government institutions to be clinical supervisors in their respective districts and establish a pool of national level supervisors. IM Tanzania supported the development of training materials for the Malaria Service Data Quality Improvement Supportive Supervision (MSDQI SS) package and trained 298 trainers and staff from central, regional and district levels.

This data asset contains data from training of supervisors for the Impact Malaria (IM) Outreach Training and Supportive Supervision Plus (OTSS+) in Cameroon, conducted in 2021.

This data asset contains data from the training of trainers of community health workers (CHW). Impact Malaria (IM) supported the training and capacity building of CHW trainers, with particular emphasis on six districts in the North (Garoua 1, Guider, Golombe, Ngong, Tcholiré, and Touboro) and ten districts of the Far North (Bogo, Bourha, Goulfey, Hina, Kaele, Mada, Mokolo, Moutourwa, Roua, and Tokombere) where there are currently established community health workers. IM worked with these districts to identify and select CHW trainers at the health district level, particularly among staff. IM supported the design, production and distribution of training materials and working tools, and trained 74 CHW trainers.

This data asset contains data from PMI Impact Malaria (IM) Basic Malaria Diagnostic Refresher Training (MDRT). IM supported the National Malaria Control Program (NMCP) to strengthen malaria diagnostics at central, regional and district levels, by improving the competence of laboratory technicians through a five-day basic MDRT. The training included building skills in theory and diagnostics procedures for malaria, parasite detection (PD), species identification (ID), and parasite counting (PC), as well as slide preparation, slide staining, use of malaria rapid diagnostic tests (mRDTs), biosafety, microscope maintenance, and improvement of quality assurance measures according to national guidelines.