A community volunteer programme was initiated in rural Jamaica in May 1990. The main aim of the programme was to monitor the growth of children less than 36 months of age through community health volunteers (CHVs) and improve their nutritional status. At the end of the second year the programme was evaluated to determine its effectiveness. The results of the evaluation indicated that almost all (95.6%) of the children were covered by the CHVs. In addition the participation rate was high (78.5%). However, only 50% of the children were adequately covered. Nonetheless, 81% of them gained adequate weight. Indeed, malnutrition levels declined by 34.5%. The annual cost per child per year for the total programme was fairly moderate (US$14.5) with growth monitoring accounting for nearly half (42.7). The results suggest that CHVs can play an important role in primary health care programmes in developing countries.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/s0033-3506(05)80004-6 | DOI Listing |
Environ Monit Assess
January 2025
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
The soil quality of forest land is directly related to the growth of forest trees and the local ecological environment. This paper proposes an intuitionistic fuzzy linguistic aggregation method for heterogeneous linguistic assessment information, to solve the multi-index assessment problem containing heterogeneous linguistic information. Based on this method, the soil quality of forest land can be evaluated reasonably.
View Article and Find Full Text PDFMatern Child Nutr
January 2025
Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Appropriate infant feeding is crucial to ensure optimal child growth and survival. We aimed to assess infants' breastfeeding and complementary feeding practices from 0 to 12 months in Ethiopia. This study was a secondary analysis of data from the Ethiopia Performance Monitoring for Action panel study performed from July 2020 to August 2021.
View Article and Find Full Text PDFJ Clin Ultrasound
January 2025
Division of Maternal-Fetal Medicine, Department of Maternal and Fetal Medicine, Obstetrics and Gynecology, University of Miami, Miller School of Medicine, Miami, Florida, USA.
This narrative review examines the integration of Artificial Intelligence (AI) in prenatal care, particularly in managing pregnancies complicated by Fetal Growth Restriction (FGR). AI provides a transformative approach to diagnosing and monitoring FGR by leveraging advanced machine-learning algorithms and extensive data analysis. Automated fetal biometry using AI has demonstrated significant precision in identifying fetal structures, while predictive models analyzing Doppler indices and maternal characteristics improve the reliability of adverse outcome predictions.
View Article and Find Full Text PDFMol Ecol Resour
January 2025
Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden.
Molecular methods such as DNA/eDNA metabarcoding have emerged as useful tools to document the biodiversity of complex communities over large spatio-temporal scales. We established an international Marine Biodiversity Observation Network (ARMS-MBON) combining standardised sampling using autonomous reef monitoring structures (ARMS) with metabarcoding for genetic monitoring of marine hard-bottom benthic communities. Here, we present the data of our first sampling campaign comprising 56 ARMS units deployed in 2018-2019 and retrieved in 2018-2020 across 15 observatories along the coasts of Europe and adjacent regions.
View Article and Find Full Text PDFJ Mammal
February 2025
Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775, United States.
Animals living in seasonal environments have adopted a wide array of tactics used to deal with seasonal resource scarcity. Many species migrate between habitats to reach areas where food resources are more plentiful as an attempt to address energetic demands through foraging. We assessed the winter behavioral adaptations of Caribou (), a large ungulate inhabiting Arctic and sub-Arctic regions known for seasonal resource scarcity.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!