jane gondwe

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Social determinants of male partner attendance in women’s prevention-of mother-to-child transmission program in Malawi

BMC Public Health

Background Male partners are rarely present during PMTCT (Prevention-Mother-To-Child-Transmission... more Background Male partners are rarely present during PMTCT (Prevention-Mother-To-Child-Transmission) services in Sub-Saharan Africa (SSA). Male involvement is increasingly recognised as an important element of women’s access to care. This study aims to identify the socio-demographic characteristics, HIV-Knowledge, Attitude and Practice (KAP) among women accompanied and not accompanied by their male partners. Methods We included pregnant women enrolled in PMTCT programme between August 2018 and November 2019 in the Southern Region of Malawi. Eligible women were aged 18 years or older, living with a male partner, enrolled for the first time in one of the four selected facilities. We provided a KAP survey to women and their partners attending the facilities. Our primary objective was to assess and analyse the proportion of women who were accompanied by their partner at least once. We applied descriptive statistics and logistic regressions to study the association between being accompanie...

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Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City

Discrete Dynamics in Nature and Society

Blantyre City has experienced a wide range of changes in land use and land cover (LULC). This stu... more Blantyre City has experienced a wide range of changes in land use and land cover (LULC). This study used Remote Sensing (RS) to detect and quantify LULC changes that occurred in the city throughout a twenty-year study period, using Landsat 7 Enhanced Thematic Mapper (ETM+) images from 1999 and 2010 and Landsat 8 Operational Land Imager (OLI) images from 2019. A supervised classification method using an Artificial Neural Network (ANN) was used to classify and map LULC types. The kappa coefficient and the overall accuracy were used to ascertain the classification accuracy. Using the classified images, a postclassification comparison approach was used to detect LULC changes between 1999 and 2019. The study revealed that built-up land and agricultural land increased in their respective areas by 28.54 km2 (194.81%) and 35.80 km2 (27.16%) with corresponding annual change rates of 1.43 km·year−1 and 1.79 km·year−1. The area of bare land, forest land, herbaceous land, and waterbody, respect...

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