AIMC Topic: Community Health Workers

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Efficacy of using a digital health intervention model using community health workers for primary health services in Bangladesh: a repeated cross-sectional observational study.

BMC public health May 19, 2025
OBJECTIVE: This study aims to evaluate the effectiveness of a digital health intervention model by observing people's health conditions in a rural area of Bangladesh. Through a repeated cross-sectional design, health outcomes were assessed at six-mon...
Humans Artificial Intelligence Digital Health Female Young Adult Adult Cross-Sectional Studies Male Middle Aged Adolescent Child Primary Health Care Mobile Applications Rural Population Telemedicine Bangladesh Community Health Workers
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Machine learning in a time of COVID-19 - Can machine learning support Community Health Workers (CHWs) in low and middle income countries (LMICs) in the new normal?

Journal of global health Jan 16, 2021
Humans Machine Learning COVID-19 Delivery of Health Care SARS-CoV-2 Developing Countries Community Health Services Community Health Workers
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Satellite images and machine learning can identify remote communities to facilitate access to health services.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2019
OBJECTIVE: Community health systems operating in remote areas require accurate information about where people live to efficiently provide services across large regions. We sought to determine whether a machine learning analyses of satellite imagery c...
Humans Algorithms Deep Learning Rural Population Health Services Accessibility Satellite Imagery Rural Health Services Geography, Medical Community Health Workers
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