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Background Antimicrobial resistance (AMR) driven by antibiotic consumption is a growing global health threat. However, data on antimicrobial consumption patterns in low- and middle-income countries (LMICs) is sparse. Here, we investigate the patterns of antibiotic sales in humans and livestock in...
This article tests the hypothesis that anthropometrical outcomes in preschool children are a function of complex interaction between food, nutrition, health, and other physical environmental conditions within which children live and grow. A system of simultaneous equations is used to test the abo...
Antimicrobial agents are used widely in veterinary and human medicine worldwide. However, their use has suffered a major setback globally due to the emergence of antimicrobial resistance (AMR) in a wide range of microorganisms. This study aimed to investigate the prevalence of AMR in household mi...
Background : Despite recent improvements of wastewater treatment capacities in urban areas of Hanoi, Vietnam, microbial pollution is still considerable. There is a paucity of burden estimates due to gastrointestinal infection in people living along the wastewater system, and among people who are...
Objectives We studied the influence of different additive materials (lime, and rice husk) and aeration conditions on Ascaris lumbricoides egg die-off in 24 vaults of an experimental excreta storage unit. Methods Excreta samples were collected once every two weeks over a 181-day period. Tempera...
More than a decade has passed since Forget and Lebel (2001)introduced the ‘‘ecosystem approach to human health’’. Since this first conceptual elaboration, a significant literature has developed describing validity, utility, and general guidelines for a newly emerging research community. Numerous ...
Human food and animal feed can contain many different hazards, which may be biological, chemical, or physical. In most countries, there are regulations that limit the levels of these hazards permitted in food and feed so as to protect consumers. Optimally, the levels specified in the standards sh...
Large datasets are often not amenable to analysis using traditional single-step approaches. Here, our general objective was to apply imputation techniques, principal component analysis (PCA), elastic net and generalized linear models to a large dataset in a systematic approach to extract the most...
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