Methods of nutrition surveillance in low-income countries-Reference-Cited by-同舟云学术

Methods of nutrition surveillance in low-income countries

Published:2016-03-18 Issue:1 Volume:13 Page:
ISSN:1742-7622
Container-title:Emerging Themes in Epidemiology
language:en
Short-container-title:Emerg Themes Epidemiol

Author:

Tuffrey Veronica,Hall Andrew

Publisher

Springer Science and Business Media LLC

Subject

Epidemiology

Link

http://link.springer.com/content/pdf/10.1186/s12982-016-0045-z

Reference140 articles.

1. International Food and Policy Research Institute (IFPRI). Global nutrition report 2014: actions and accountability to accelerate the world’s progress on nutrition. Washington, DC: IFPRI; 2014.

2. WHO. Methodology of nutritional surveillance. Report of a Joint FAO/UNICEF/WHO Expert Committee. Geneva: World Health Organization; 1976. http://whqlibdoc.who.int/trs/WHO_TRS_593.pdf . (Accessed 1 June 2015).

3. Tuffrey V. A perspective on the development and sustainability of nutrition surveillance in low-income countries. BMC Nutr. 2016;2(1):1-18.

4. Langmuir AD. The surveillance of communicable diseases of national importance. N Engl J Med. 1963;268:182–92.

5. Mason J, Habicht JP, Tabatabai H, Valverde V. Nutritional surveillance. Geneva: World Health Organization; 1984.

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge and Attitude of the Waste Handlers on Healthcare Waste in Bo Government Hospital Southern Sierra Leone;International Journal of Education, Culture and Society;2024-07-31

2. Alarming High Prevalence of Various Forms of Malnutrition in 24–60 M Children in Sistan-Baluchestan: Needing of Urgent Actions, Tomorrow is Too Late! National Food and Nutrition Surveillance;Journal of Nutrition Sciences and Food Technology;2024-06-01

3. Identifying biologically implausible values in big longitudinal data: an example applied to child growth data from the Brazilian food and nutrition surveillance system;BMC Medical Research Methodology;2024-02-15

4. Exploring Global Dietary Data Gaps in Relationship to Nutrition Inequity: A Case of Sodium Intake;Integrated Science;2024

5. Revealing Health Disparities with Visual Analytics in the Digital Era: From Individual Attributes to Global Patterns in Nutrition Surveillance;Integrated Science;2024