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) 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.

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 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.

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.

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.

Tulane University and Population Council in collaboration with the Center for Research, Evaluation Resources and Development (CRERD) conducted the BSS baseline survey in September and October 2019. The study population includes currently pregnant women aged 15-49 years and women aged 15-49 years with a child under two years who are living in B-A/N program areas targeted for integrated social and behavioral (SBC) messaging (Sokoto/Kebbi) and for malaria-only SBC messaging (Zamfara).

This dataset contains data from Impact Malaria (IM) case management training for healthcare providers including 12 nurses, 12 medical doctors, 12 community health worker supervisors in Rwanda, gathered in June, 2021. IM supported the training and capacity building of healthcare providers in six districts.

신증후군출혈열, 말라리아 환자 데이터는 2001년부터 2020년까지의 환자를 직업별, 추정감염지역별, 국적별, 연령별, 연도별, 월별, 시도별, 시군구별 구분한 환자 데이터입니다.- 연도: 2001-2020년- 월별: 1-12월- 연령별: 10세 연령- 시도 및 시군구별- 국적별 및 직업별 및 추정감염지역- 2001-2012년, 2013년 일부 자료에서 시도, 시군구별 자료가 없는 데이터는 자료 확인 불가하여 제공되지 않았습니다.(당시 신고대상이 아님)- 환자 발생 신고 시 표준직업분류로 기준으로 신고받고있지않아, 신고된 직업 기준으로 대체하여 제공하였습니다.

This dataset is the first of two datasets needed to calculate the Women’s Empowerment in Agriculture Index (WEAI). It is part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. This dataset contains Module G data from the primary adult (18+) female decision maker within each household (for the sub-sample of households with a primary adult female decision maker). The unique identifiers for this file are pbs_id + idcode.