Tools
Tools
Chami, Goylette F, Molyneux, David 
ORCID: https://orcid.org/0000-0001-8537-7947, Kontoleon, Andreas A and Dunne, David W
(2013)
'Exploring network theory for mass drug administration.'. Trends in Parasitology, Vol 29, Issue 8, pp. 370-379.
Abstract
Network theory is a well-established discipline that uses mathematical graphs to describe biological, physical, and social systems. The topologies across empirical networks display strikingly similar organizational properties. In particular, the characteristics of these networks allow computational analysis to contribute data unattainable from examining individual components in isolation. However, the interdisciplinary and quantitative nature of network analysis has yet to be exploited by public health initiatives to distribute preventive chemotherapies. One notable application is the 2012 World Health Organization (WHO) Roadmap for Neglected Tropical Diseases (NTDs) where there is a need to upscale distribution capacity and to target systematic noncompliers. An understanding of local networks for analysing the distributional properties of community-directed treatment may facilitate sustainable expansion of mass drug-administration (MDA) programs.
| Item Type: | Article |
|---|---|
| Additional Information: | Centre for Neglected Tropical Diseases |
| Subjects: | WA Public Health > Preventive Medicine > WA 108 Preventive health services. Preventive medicine. Travel Medicine. WA Public Health > Preventive Medicine > WA 110 Prevention and control of communicable diseases. Transmission of infectious diseases WC Communicable Diseases > Tropical and Parasitic Diseases > WC 680 Tropical diseases (General) WC Communicable Diseases > Tropical and Parasitic Diseases > WC 695 Parasitic diseases (General) |
| Faculty: Department: | Biological Sciences > Department of Tropical Disease Biology |
| Digital Object Identifer (DOI): | https://doi.org/10.1016/j.pt.2013.04.005 |
| Depositing User: | Mary Creegan |
| Date Deposited: | 07 Aug 2014 10:03 |
| Last Modified: | 06 Feb 2018 13:07 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/3824 |
Statistics
Actions (login required)
 |
Edit Item |