@prefix dcat: . @prefix dct: . @prefix foaf: . @prefix vcard: . @prefix xsd: . a dcat:Dataset ; dct:description "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." ; dct:identifier ; dct:issued "2021-02-22"^^xsd:date ; dct:language "{en}" ; dct:modified "2021-02-22"^^xsd:date ; dct:publisher ; dct:title "Breakthrough ACTION PMI Cameroon Malaria Behavior Survey" ; dcat:contactPoint [ a vcard:Organization ; vcard:fn "Lena Knezevic" ; vcard:hasEmail ] ; dcat:distribution , , , , ; dcat:keyword "amerigeo", "amerigeoss", "cameroon", "ckan", "geo", "geoss", "malaria", "national", "north-america", "united-states" ; dcat:theme <%7BMalaria%7D> . a dcat:Distribution ; dct:description "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 3565 women of reproductive age. The dataset explores ideational factors associated with malaria-related behaviors for these women. This is the third of three related datasets. The complete Women’s 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 – obsid (observation ID) – can be used to join the two parts." ; dct:format "HTML" ; dct:issued "2021-09-02T16:59:08.059641"^^xsd:dateTime ; dct:modified "2025-11-20T04:58:12.880958"^^xsd:dateTime ; dct:title "Breakthrough ACTION PMI Cameroon MBS Women Part 2 of 2" ; dcat:accessURL ; dcat:mediaType "text/html" . a dcat:Distribution ; dct:description "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 949 men. The dataset explores the ideational characteristics associated with malaria-related behaviors among men. This is the second of three related datasets." ; dct:format "HTML" ; dct:issued "2021-09-02T16:59:08.059633"^^xsd:dateTime ; dct:modified "2025-11-20T04:58:12.880174"^^xsd:dateTime ; dct:title "Breakthrough ACTION PMI Cameroon MBS Men" ; dcat:accessURL ; dcat:mediaType "text/html" . a dcat:Distribution ; dct:description "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 3565 women of reproductive age. The dataset explores ideational factors associated with malaria-related behaviors for these women. This is the third of three related datasets. The complete Women’s 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 – obsid (observation ID) – can be used to join the two parts." ; dct:format "HTML" ; dct:issued "2021-09-02T16:59:08.059637"^^xsd:dateTime ; dct:modified "2025-11-20T04:58:12.880576"^^xsd:dateTime ; dct:title "Breakthrough ACTION PMI Cameroon MBS Women Part 1 of 2" ; dcat:accessURL ; dcat:mediaType "text/html" . a dcat:Distribution ; dct:description "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." ; dct:format "HTML" ; dct:issued "2021-09-02T16:59:08.059618"^^xsd:dateTime ; dct:modified "2025-11-20T04:58:12.879338"^^xsd:dateTime ; dct:title "Breakthrough ACTION PMI Cameroon MBS Household Part 1 of 2" ; dcat:accessURL ; dcat:mediaType "text/html" . a dcat:Distribution ; dct:description "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." ; dct:format "HTML" ; dct:issued "2021-09-02T16:59:08.059627"^^xsd:dateTime ; dct:modified "2025-11-20T04:58:12.879768"^^xsd:dateTime ; dct:title "Breakthrough ACTION PMI Cameroon MBS Household Part 2 of 2" ; dcat:accessURL ; dcat:mediaType "text/html" . a foaf:Agent ; foaf:name "US Migrating" .