Literature DB >> 20560123

Emerging diseases and implications for Millennium Development Goals in Africa by 2015 - an overview.

Tagang Aluwong1, Mohammed Bello.   

Abstract

Emerging zoonotic diseases have assumed increasing fundamental importance in both public and animal health, as the last few years have seen a steady increase of new cases, each emerging from an unsuspected geographic area and causing serious problems, often leading to mortalities among animals and humans. The reasons for disease emergence or re-emergence are multiple and include certain major factors, such as expansion of the human population, climate change and globalisation of trade. Further contributing issues, such as the increased movement of animal species, microbial evolution, ecological disruption, changes in human behaviour, all imply that emerging diseases will not only continue to occur, but the rate of their emergence will also increase. These will constitute constraints for the attainment of the Millennium Development Goals by African Governments by 2015. There is no doubt that the current trend calls for more and stronger partnerships between national and international organisations, veterinary and medical communities, environmentalists, academics and policy-makers of various governments on the continent within the context of the global 'One Health' movement. This article attempts to analyse the impact of emerging diseases and the implications for the achievement of the Millennium Development Goals in Africa by the year 2015.

Entities:  

Mesh:

Year:  2010        PMID: 20560123

Source DB:  PubMed          Journal:  Vet Ital        ISSN: 0505-401X            Impact factor:   1.101


  2 in total

1.  Spatio-temporal variation in environmental features predicts the distribution and abundance of Ixodes scapularis.

Authors:  Tam Tran; Melissa A Prusinski; Jennifer L White; Richard C Falco; Vanessa Vinci; Wayne K Gall; Keith Tober; JoAnne Oliver; Lee Ann Sporn; Lisa Meehan; Elyse Banker; P Bryon Backenson; Shane T Jensen; Dustin Brisson
Journal:  Int J Parasitol       Date:  2020-12-24       Impact factor: 3.981

2.  Rapid Classification and Identification of Multiple Microorganisms with Accurate Statistical Significance via High-Resolution Tandem Mass Spectrometry.

Authors:  Gelio Alves; Guanghui Wang; Aleksey Y Ogurtsov; Steven K Drake; Marjan Gucek; David B Sacks; Yi-Kuo Yu
Journal:  J Am Soc Mass Spectrom       Date:  2018-06-05       Impact factor: 3.109

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.