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 Malaria Behavior Survey (MBS) dataset includes representative data on the determinants of malaria-related behaviors from urban and rural areas in North Region and Far North Region in Cameroon, collected between September 5 and October 1, 2019. 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 North and Far North regions of Cameroon; and 2) 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 2,756 households. The complete Household dataset exceeds the capacity of the DDL to upload as one file. Therefore, it was split into two parts of less than 500 variables each. The first variable in each dataset – obsids (observation ID) – can be used to join the two parts.

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.

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.

법정감염병 중 3군에 속하는 모기매개감염병인 말라리아의 민간인 연령별 발생현황. (단위: 건) * 강원도 철원군, 인천 강화군 지역

This dataset from the Maternal and Child Health Program consists of interviews with heads of households and pregnant women and/or caretakers of children under 5 in three different malaria transmission zones in Rwanda in 2018. The main objective of this study was to generate data on the knowledge of malaria control activities (prevention, treatment), attitudes and practices (KAP) among people living in varying levels of malaria endemicity.

This data asset contains training from Impact Malria (IM) Malawi conducted between 2021 and 2022. Training activity included: 1) Supporting National Malaria Control Program (NMCP) to provide capacity-building in malaria Rapid Diagnostics Testing (mRDT); 2) Supporting participation of qualified microscopists to attend national external Competency Assessment of Malaria Microscopists (eCAMM) certification. 3) Supporting NMCP and integrated Management of Childhood Illness (iMCI) to conduct refresher training for integrated Community Case Management (iCCM) providers and 4) Supporting NMCP National Parasitology Reference Laboratory (NPRL) to conduct three basic mDRTs for central hospitals, pre-service institutions, and other PMI-enhanced districts.

This data asset contains data from training of supervisors for the Impact Malaria (IM) Outreach Training and Supportive Supervision Plus (OTSS+) in the Democratic Republic of the Congo.

The President’s Malaria Initiative (PMI) is a U.S. Government initiative designed to reduce malaria deaths and illnesses in target countries in sub-Saharan Africa with a long-term vision of a world without malaria. This data asset contains one dataset which reports 2018 summary data for the President's Malaria Initiative (PMI) VectorLink indoor residual spraying (IRS) efforts by country. Reported variables include the number of eligible structures found by the campaign in each country, the number of eligible structures sprayed by the campaign, and the number of people who sleep in those structures.