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.

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 the independent Seasonal Malarial Chemoprevention (SMC) monitoring survey conducted in 3 PMI Impact Malaria (IM) project intervention regions in August 2020. In each region 2 districts were selected. For the sampling, two groups were created, namely the group of high performing districts and the group of low performing districts at the first and fourth rounds. This performance criterion refers to the coverage rate achieved per round. A random selection was made from each group to select the two districts in each region. The survey, which is a mechanism for evaluating the implementation of SMC at the community level, was conducted after the first and fourth rounds of SMC in order to ensure early detection of problems in the field and to guide corrective actions aimed at optimizing the impact of the intervention. The survey assessed the results of the campaign's effectiveness in meeting its objectives and in improving the distribution of SMC to targeted children. Data were collected from a total of 4 health districts. In each district, two (2) health areas were selected on the basis of performance. Four(4) villages were randomly selected in each health area based on geographic accessibility, security and village size. In each selected village, thirty (30) concessions were randomly surveyed by independent monitors.

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

To better inform malaria prevention and control efforts in Rwanda, the Maternal Child and Survival Program (MCSP) sought to obtain a deeper understanding of how malaria was understood at the household level. This detailed survey on knowledge, attitudes, and practices (KAP) around malaria was fielded in five Provinces.

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.

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 data asset consists of six training datasets from Zambia conducted between the year 2019-2022. The datasets include 1) basic Malaria Diagnosis Refresher Training (bMDRT) from Zambia held on June 4 and on September 12-13, 2019; 2) basic Malaria Diagnosis Refresher Training (bMDRT) from Zambia held on February 24-29, 2020 and on November 5-21 2020; 3) bMDRT from Zambia between March 29 and April 3, 2021 and bMDRT from Zambia between March 29 and April 3, 2021; 4) nECAMM from Zambia held on June 21-29, 2020; 5) nECAMM from Zambia held on September 19-25, 2021 and October 27-31, 2021 and 6) nECAMM in Zambia held from March 28 to April 1, 2022.