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Despite mounting evidence linking neurological diseases with climate change, the link between autism spectrum disorder (ASD) and global warming has yet to be explored.
Aims
To examine the relationship between the incidence of ASD and global warming from 1990 to 2019 and estimate the trajectory of ASD incidence from 2020 to 2100 globally.
Method
We extracted meteorological data from TerraClimate between 1990 and 2019. To estimate the association between global ASD incidence and temperature variation, we adopted a two-stage analysis strategy using a generalised additive regression model. Additionally, we projected future ASD incidence under four representative shared socioeconomic pathways (SSPs: 126, 245, 370 and 585) by bootstrapping.
Results
Between 1990 and 2019, the global mean incidence of ASD in children under 5 years old was 96.9 per 100 000. The incidence was higher in males (147.5) than in females (46.3). A 1.0 °C increase in the temperature variation was associated with a 3.0% increased risk of ASD incidence. The association was stronger in boys and children living in a low/low-middle sociodemographic index region, as well as in low-latitude areas. According to the SSP585 scenario, by 2100, the children living in regions between 10 and 20° latitude, particularly in Africa, will experience a 68.6% increase in ASD incidence if the association remains. However, the SSP126 scenario is expected to mitigate this increase, with a less than 10% increase in incidence across all latitudes.
Conclusions
Our study highlights the association between climate change and ASD incidence worldwide. Prospective studies are warranted to confirm the association.
Scenarios are among the most visible and widely used products of the IPCC. Many kinds of scenarios are used in climate research, but emissions scenarios and the socio-economic assumptions that underpin them have a distinct status because the IPCC orchestrated their development. They have evolved from assessment cycle to assessment cycle and serve as ‘boundary objects’ across Working Groups and as instruments of policy relevance. The field of Integrated Assessment Modelling has emerged to produce these scenarios, thereby taking centre stage within the IPCC assessment process. Because these scenarios harmonise assumptions about the future across disciplines, they are essential tools for the IPCC’s production of a shared assessment of climate research and for ensuring the policy relevance of this assessment. Yet, the reliance on a relatively small set of complex models to generate scenarios spurs concerns about transparency, black-boxed assumptions, and the power of IAMs to define the ‘possibility space’.
Two preliminaries: US experience points to the unprecedented challenge of the rapid, drastic energy transition we face, and the labor needed to accomplish it should regarded as a cost, not a benefit. This chapter thus encourages skepticism regarding claims that the cost of meeting carbon goals will be minimal and proposes questions that should be asked of optimistic studies. The most reliable analyses draw on integrated assessment models, which show we can achieve a two-thirds chance of limiting warming to 2° at moderate cost only by greatly overshooting corresponding carbon budgets, followed by decades of negative emissions using yet-to-be developed carbon removal technologies. Not predicating policy on these technologies, however, results in very high costs. Even so, these models don’t include the likelihood that much of the existing capital stock will be uneconomic to operate at high carbon prices, a potential source of enormous disruption. The closest analogy we have is the post-1989 shock in Eastern Europe when economic opening caused widespread shutdowns. It is important to be honest about costs: rosy forecasts are unconvincing, fail to prepare us for the problems we’ll need to solve and obscure the political economy of policy change.
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