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      Applications of implementation science in integrated conservation + health programs: Improved learning to achieve environmental and health objectives

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      PLOS Climate
      Public Library of Science (PLoS)

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          Abstract

          One Health is an interdisciplinary approach that advocates for programs and policies that integrate governance, conservation, agriculture, disease ecology, and global health to achieve desired health outcomes. However, rigorous research around integrated One Health programming is limited and/or in very early stages, especially concerning counterfactual-based studies focused on the effectiveness of integrated conservation and health programming, including those focused on the intersection of zoonosis spillover risk in the context of land-use change. We argue that filling these knowledge gaps requires an implementation science approach. This requires evaluation through a counterfactual lens, but also requires a new approach to donor funded program design and the entire project cycle. We present benefits, challenges, and lessons learned from three case studies of efforts at applying an implementation science approach to integrated conservation and health programming in Madagascar, Zambia, and Ghana and Côte d’Ivoire. We demonstrate the value of integrating an implementation science approach at program inception, and the importance of building the evidence base on the effectiveness of integrated conservation and health programming. We demonstrate that despite significant challenges, it is possible to pursue an implementation science approach for cross-sectoral conservation and health programs, including studies on zoonosis spillover risk in the context of efforts to improve environmental outcomes.

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          Global trends in emerging infectious diseases

          The next new disease Emerging infectious diseases are a major threat to health: AIDS, SARS, drug-resistant bacteria and Ebola virus are among the more recent examples. By identifying emerging disease 'hotspots', the thinking goes, it should be possible to spot health risks at an early stage and prepare containment strategies. An analysis of over 300 examples of disease emerging between 1940 and 2004 suggests that these hotspots can be accurately mapped based on socio-economic, environmental and ecological factors. The data show that the surveillance effort, and much current research spending, is concentrated in developed economies, yet the risk maps point to developing countries as the more likely source of new diseases. Supplementary information The online version of this article (doi:10.1038/nature06536) contains supplementary material, which is available to authorized users.
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            Global effects of land use on local terrestrial biodiversity

            Human activities, especially conversion and degradation of habitats, are causing global biodiversity declines. How local ecological assemblages are responding is less clear--a concern given their importance for many ecosystem functions and services. We analysed a terrestrial assemblage database of unprecedented geographic and taxonomic coverage to quantify local biodiversity responses to land use and related changes. Here we show that in the worst-affected habitats, these pressures reduce within-sample species richness by an average of 76.5%, total abundance by 39.5% and rarefaction-based richness by 40.3%. We estimate that, globally, these pressures have already slightly reduced average within-sample richness (by 13.6%), total abundance (10.7%) and rarefaction-based richness (8.1%), with changes showing marked spatial variation. Rapid further losses are predicted under a business-as-usual land-use scenario; within-sample richness is projected to fall by a further 3.4% globally by 2100, with losses concentrated in biodiverse but economically poor countries. Strong mitigation can deliver much more positive biodiversity changes (up to a 1.9% average increase) that are less strongly related to countries' socioeconomic status.
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              Global hotspots and correlates of emerging zoonotic diseases

              Zoonoses originating from wildlife represent a significant threat to global health, security and economic growth, and combatting their emergence is a public health priority. However, our understanding of the mechanisms underlying their emergence remains rudimentary. Here we update a global database of emerging infectious disease (EID) events, create a novel measure of reporting effort, and fit boosted regression tree models to analyze the demographic, environmental and biological correlates of their occurrence. After accounting for reporting effort, we show that zoonotic EID risk is elevated in forested tropical regions experiencing land-use changes and where wildlife biodiversity (mammal species richness) is high. We present a new global hotspot map of spatial variation in our zoonotic EID risk index, and partial dependence plots illustrating relationships between events and predictors. Our results may help to improve surveillance and long-term EID monitoring programs, and design field experiments to test underlying mechanisms of zoonotic disease emergence.

                Author and article information

                Contributors
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                Journal
                PLOS Climate
                PLOS Clim
                Public Library of Science (PLoS)
                2767-3200
                May 31 2024
                May 31 2024
                : 3
                : 5
                : e0000268
                Article
                10.1371/journal.pclm.0000268
                e848070d-055f-4451-a261-6a12345ff795
                © 2024

                https://creativecommons.org/publicdomain/zero/1.0/

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