Problem: Reliable demographic data is a central requirement for health planning and management, and for the implementation of adequate interventions. This study addresses the lack of demographic data on mobile pastoral communities in the Sahel.
Approach: A total of 1081 Arab, Fulani and Gorane women and 2541 children (1336 boys and 1205 girls) were interviewed and registered by a biometric fingerprint scanner in five repeated random transect demographic and health surveys conducted from March 2007 to January 2008 in the Lake Chad region in Chad.
Local Setting: Important determinants for the planning and implementation of household surveys among mobile pastoral communities include: environmental factors; availability of women for interviews; difficulties in defining "own" children; the need for information-education-communication campaigns; and informed consent of husbands in typically patriarchal societies.
Relevant Changes: Due to their high mobility, only 5% (56/1081) of registered women were encountered twice. Therefore, it was not possible to establish a demographic and health cohort.
Lessons Learnt: Prospective demographic and health cohorts are the most accurate method to assess child mortality and other demographic indices. However, their feasibility in a highly mobile pastoral setting remains to be shown. Future interdisciplinary scientific efforts need to target innovative methods, tools and approaches to include marginalized communities in operational health and demographic surveillance systems.
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http://dx.doi.org/10.2471/BLT.10.077206 | DOI Listing |
New Phytol
November 2024
School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Tomato is a major global crop. However, its production is limited by Botrytis cinerea. Due to the toxicity of postharvest pesticide application, alternative control methods such as priming are being investigated.
View Article and Find Full Text PDFWater Res
August 2024
Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, Notre Dame, IN 46556, USA. Electronic address:
Antibiotic resistance is a serious global health issue, resulting in at least 1.2 million deaths in 2019. The environment is a potentially important reservoir of antibiotic resistance; however, the fate of Antibiotic Resistance Genes (ARGs) in the environment remains poorly characterized.
View Article and Find Full Text PDFJ Equine Vet Sci
August 2024
Academic Unit of Serra Talhada, Federal Rural University of Pernambuco, Avenida Gregório Ferraz Nogueira s/n, Serra Talhada, Pernambuco 56909-535, Brazil. Electronic address:
This study aimed to compare the digestibility of tropical grasses by horses by the in vivo method using mobile nylon bags with the in vitro digestibility method using horse feces as a source of inoculum. Five horses were used in a 2 × 5 factorial design with randomized blocks featuring two methods (in vivo and in vitro) and five grasses: Tifton 85 hay (Cynodon spp.), sixweeks threeawn grass (Aristida adsencionis, Linn), Alexandergrass (Brachiaria plantaginea (Link) Hitchc.
View Article and Find Full Text PDFMol Ecol Resour
July 2024
State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Parasitic plants have a heterotrophic lifestyle, in which they withdraw all or part of their nutrients from their host through the haustorium. Despite the release of many draft genomes of parasitic plants, the genome evolution related to the parasitism feature of facultative parasites remains largely unknown. In this study, we present a high-quality chromosomal-level genome assembly for the facultative parasite Pedicularis kansuensis (Orobanchaceae), which invades both legume and grass host species in degraded grasslands on the Qinghai-Tibet Plateau.
View Article and Find Full Text PDFSci Data
April 2024
School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, 730000, China.
The research of plant seeds has always been a focus of agricultural and forestry research, and seed identification is an indispensable part of it. With the continuous application of artificial intelligence technology in the field of agriculture, seed identification through computer vision can effectively promote the development of agricultural and forestry wisdom. Data is the foundation of computer vision, but there is a lack of suitable datasets in the agricultural field.
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