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      The consequences of human actions on risks for infectious diseases: a review

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          Abstract

          The human population is growing, requiring more space for food production, and needing more animals to feed it. Emerging infectious diseases are increasing, causing losses in both human and animal lives, as well as large costs to society. Many factors are contributing to disease emergence, including climate change, globalization and urbanization, and most of these factors are to some extent caused by humans. Pathogens may be more or less prone to emergence in themselves, and rapidly mutating viruses are more common among the emerging pathogens. The climate-sensitive vector-borne diseases are likely to be emerging due to climate changes and environmental changes, such as increased irrigation. This review lists the factors within pathogens that make them prone to emergence, and the modes of transmission that are affected. The anthropogenic changes contributing to disease emergence are described, as well as how they directly and indirectly cause either increased numbers of susceptible or exposed individuals, or cause increased infectivity. Many actions may have multiple direct or indirect effects, and it may be difficult to assess what the consequences may be. In addition, most anthropogenic drivers are related to desired activities, such as logging, irrigation, trade, and travelling, which the society is requiring. It is important to research more about the indirect and direct effects of the different actions to understand both the benefits and the risks.

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          Most cited references90

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          Human Domination of Earth's Ecosystems

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            Factors in the emergence of infectious diseases.

            "Emerging" infectious diseases can be defined as infections that have newly appeared in a population or have existed but are rapidly increasing in incidence or geographic range. Among recent examples are HIV/AIDS, hantavirus pulmonary syndrome, Lyme disease, and hemolytic uremic syndrome (a foodborne infection caused by certain strains of Escherichia coli). Specific factors precipitating disease emergence can be identified in virtually all cases. These include ecological, environmental, or demographic factors that place people at increased contact with a previously unfamiliar microbe or its natural host or promote dissemination. These factors are increasing in prevalence; this increase, together with the ongoing evolution of viral and microbial variants and selection for drug resistance, suggests that infections will continue to emerge and probably increase and emphasizes the urgent need for effective surveillance and control. Dr. David Satcher's article and this overview inaugurate Perspectives, a regular section in this journal intended to present and develop unifying concepts and strategies for considering emerging infections and their underlying factors. The editors welcome, as contributions to the Perspectives section, overviews, syntheses, and case studies that shed light on how and why infections emerge, and how they may be anticipated and prevented.
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              Quantifying the burden of disease: the technical basis for disability-adjusted life years.

              C. Murray (1994)
              Detailed assumptions used in constructing a new indicator of the burden of disease, the disability-adjusted life year (DALY), are presented. Four key social choices in any indicator of the burden of disease are carefully reviewed. First, the advantages and disadvantages of various methods of calculating the duration of life lost due to a death at each age are discussed. DALYs use a standard expected-life lost based on model life-table West Level 26. Second, the value of time lived at different ages is captured in DALYs using an exponential function which reflects the dependence of the young and the elderly on adults. Third, the time lived with a disability is made comparable with the time lost due to premature mortality by defining six classes of disability severity. Assigned to each class is a severity weight between 0 and 1. Finally, a three percent discount rate is used in the calculation of DALYs. The formula for calculating DALYs based on these assumptions is provided.
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                Author and article information

                Journal
                Infect Ecol Epidemiol
                Infect Ecol Epidemiol
                IEE
                Infection Ecology & Epidemiology
                Co-Action Publishing
                2000-8686
                27 November 2015
                2015
                : 5
                : 10.3402/iee.v5.30048
                Affiliations
                [1 ]International Livestock Research Institute, Nairobi, Kenya
                [2 ]Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
                Author notes
                [* ]Correspondence to: Johanna F. Lindahl, International Livestock Research Institute, Box 30709-00100, Nairobi, Kenya, Email: J.Lindahl@ 123456cgiar.org

                Responsible Editor: Tanja Strand, Uppsala University, Sweden.

                Article
                30048
                10.3402/iee.v5.30048
                4663196
                26615822
                713f1e3c-846b-4650-b828-de97ef44dda1
                © 2015 Johanna F. Lindahl and Delia Grace

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 October 2015
                : 22 October 2015
                : 27 October 2015
                Categories
                Review Article

                Infectious disease & Microbiology
                emerging infectious diseases,zoonoses,ecosystem changes,disease dynamics,food security,food safety

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