Global consumption and international trade in deforestation-associated commodities could influence malaria risk.
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ABSTRACT:
SUBMITTER: Chaves LSM
PROVIDER: S-EPMC7062889 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC10869811 | biostudies-literature
Project description:The introduction of non-native species and deforestation are both important drivers of environmental change that can also facilitate the geographic spread of zoonotic pathogens and increase disease risk in humans. With ongoing trends in globalization and land-use conversions, introduced species and deforestation are ever more likely to pose threats to human health. Here, we used rat lungworm disease, an emerging zoonotic disease caused by Angiostrongylus cantonensis and maintained by invasive rats and snails, to explore how these two forms of environmental change can impact zoonotic disease risk. We used logistic regressions to examine the role of global trade in the introduction of A. cantonensis at a country level and used model estimates to predict the probability of introduction as a function of trade. We then used hurdle-based regression models to examine the association between deforestation and rat lungworm disease in two regions where A. cantonensis is already established: Hawaii and Thailand. At the global scale, we found the trade of horticultural products to be an important driver in the spread of A. cantonensis and that the majority of countries at high risk of future A. cantonensis introduction are islands. At country scales, we found deforestation to increase the per-capita risk of A. cantonensis exposure in Hawaii and Thailand. Our study provides a preliminary view of the associations between species introductions, deforestation, and risk of A. cantonensis exposure in people. Better understanding how these two widespread and overlapping forms of environmental change affect human health can inform international biosecurity protocols, invasive species management, and land-use policies.
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| S-EPMC7657917 | biostudies-literature
Project description:The wildlife trade is a major cause of species loss and a pathway for disease transmission. Socioeconomic drivers of the wildlife trade are influential at the local scale yet rarely accounted for in multinational agreements aimed at curtailing international trade in threatened species. In recent decades (1998-2018), approximately 421,000,000 threatened (i.e., CITES-listed) wild animals were traded between 226 nations/territories. The global trade network was more highly connected under conditions of greater international wealth inequality, when rich importers may have a larger economic advantage over poorer exporting nations/territories. Bilateral trade was driven primarily by socioeconomic factors at the supply end, with wealthier exporters likely to supply more animals to the global market. Our findings suggest that international policies for reducing the global wildlife trade should address inequalities between signatory states, possibly using incentive/compensation-driven programs modeled after other transnational environmental initiatives (e.g., REDD+).
| S-EPMC8099177 | biostudies-literature
Project description:ImportanceFood subsidies are designed to enhance food availability, but whether they promote cardiometabolic health is unclear.ObjectiveTo investigate whether higher consumption of foods derived from subsidized food commodities is associated with adverse cardiometabolic risk among US adults.Design, setting, and participantsCross-sectional analysis of the National Health and Nutrition Examination Survey data from 2001 to 2006. Our final analysis was performed in January 2016. Participants were 10 308 nonpregnant adults 18 to 64 years old in the general community.ExposureFrom a single day of 24-hour dietary recall in the National Health and Nutrition Examination Survey, we calculated an individual-level subsidy score that estimated an individual's consumption of subsidized food commodities as a percentage of total caloric intake.Main outcomes and measuresThe main outcomes were body mass index (calculated as weight in kilograms divided by height in meters squared), abdominal adiposity, C-reactive protein level, blood pressure, non-high-density lipoprotein cholesterol level, and glycemia.ResultsAmong 10 308 participants, the mean (SD) age was 40.2 (0.3) years, and a mean (SD) of 50.5% (0.5%) were male. Overall, 56.2% of calories consumed were from the major subsidized food commodities. United States adults in the highest quartile of the subsidy score (compared with the lowest) had increased probabilities of having a body mass index of at least 30 (prevalence ratio, 1.37; 95% CI, 1.23-1.52), a ratio of waist circumference to height of at least 0.60 (prevalence ratio, 1.41; 95% CI, 1.25-1.59), a C-reactive protein level of at least 0.32 mg/dL (prevalence ratio, 1.34; 95% CI, 1.19-1.51), an elevated non-high-density lipoprotein cholesterol level (prevalence ratio, 1.14; 95% CI, 1.05-1.25), and dysglycemia (prevalence ratio, 1.21; 95% CI, 1.04-1.40). There was no statistically significant association between the subsidy score and blood pressure.Conclusions and relevanceAmong US adults, higher consumption of calories from subsidized food commodities was associated with a greater probability of some cardiometabolic risks. Better alignment of agricultural and nutritional policies may potentially improve population health.
| S-EPMC6512298 | biostudies-literature
Project description:Deforestation and land use change are among the most pressing anthropogenic environmental impacts. In Brazil, a resurgence of malaria in recent decades paralleled rapid deforestation and settlement in the Amazon basin, yet evidence of a deforestation-driven increase in malaria remains equivocal. We hypothesize an underlying cause of this ambiguity is that deforestation and malaria influence each other in bidirectional causal relationships-deforestation increases malaria through ecological mechanisms and malaria reduces deforestation through socioeconomic mechanisms-and that the strength of these relationships depends on the stage of land use transformation. We test these hypotheses with a large geospatial dataset encompassing 795 municipalities across 13 y (2003 to 2015) and show deforestation has a strong positive effect on malaria incidence. Our results suggest a 10% increase in deforestation leads to a 3.3% increase in malaria incidence (?9,980 additional cases associated with 1,567 additional km2 lost in 2008, the study midpoint, Amazon-wide). The effect is larger in the interior and absent in outer Amazonian states where little forest remains. However, this strong effect is only detectable after controlling for a feedback of malaria burden on forest loss, whereby increased malaria burden significantly reduces forest clearing, possibly mediated by human behavior or economic development. We estimate a 1% increase in malaria incidence results in a 1.4% decrease in forest area cleared (?219 fewer km2 cleared associated with 3,024 additional cases in 2008). This bidirectional socioecological feedback between deforestation and malaria, which attenuates as land use intensifies, illustrates the intimate ties between environmental change and human health.
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Project description:Based on a new trade accounting method-the trade in value-added accounting method-this paper constructs the international manufacturing trade in value-added networks and preferential trade agreement (PTA) networks and uses the complex network analysis method to explore the relations between PTA and international manufacturing trade in value-added from the perspective of the global value chain. The results are as follows: (1) Over the years, the international manufacturing trade in value-added networks and PTA networks has shown a significant clustering effect, and the size of networks has grown rapidly. (2) The TEX, DVA and FVA networks of the international manufacturing value added trade over the years can be divided into two societies in the Asia-Pacific region and the European region. This division just reflects the different modes of division of labor in the manufacturing value chain of the two major economic regions in the world. (3) QAP analysis shows that the influencing factors of the traditional gravity model can still explain the manufacturing trade network and its value-added trade network, while the influence of economic globalization, the enlargement of the EU and the internationalization strategy of enterprises, the PTA network and manufacturing value-added the relationship between trade networks changed from positive to negative in 2004.
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