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 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.

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.

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 Malawi Impact Malaria (IM) integrated community case management (iCCM) Malaria Diagnostic Refresher Training (mDRT) testing and Theory test for the Health Survaillance Assistants and Senior Health Surveillance Assistants.

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.

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.

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.