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The study establishes a significant positive correlation between temperature increases and cholera cases in Tanzania, predicting that a 1 degree Celsius rise in annual mean temperature increases the risk ratio for cholera by 23 to 51 percent. By 2030, the total economic cost of additional cholera cases and deaths—including treatment, productivity loss, and the value of statistical life—is projected to range from 1.4 to 7.8 percent of GDP. The authors argue that the costs of these climate-driven health impacts largely exceed the costs of preventive measures, such as household chlorination and improved water sanitation.

The report argues that while diesel trucks and buses are essential for commerce, they are disproportionate sources of smog, soot, and greenhouse gases. It evaluates a transition from conventional diesel to a 'green truck path' involving advanced exhaust controls, natural gas, hybrids, and fuel cells. The authors model a 2030 scenario where aggressive policies could reduce pollutant emissions by over 90% and global warming pollutants by 26%, while maintaining current oil consumption levels despite doubling truck travel.

The document analyzes Uganda's energy sector using the LEAP model, predicting a significant biomass deficit by the 2020s. It estimates that climate change could further reduce domestic wood availability by 5-10% by 2050, requiring $5-11 billion in additional LPG expenditures. While hydropower potential may decrease by 26% by 2050, current government expansion plans are deemed sufficient if implemented. The report recommends prioritizing the transition from traditional biomass to LPG and modern energy, noting that the current national adaptation strategy lacks these specific components.

The study evaluates three energy scenarios (A, B, and C) to determine the fuel mixes required to limit atmospheric CO2 concentrations. Scenario A assumes unlimited CO2 increase, while Scenario B limits the increase to 75% and Scenario C limits it to 440 ppm. The analysis highlights that achieving these limits would require a massive shift toward non-fossil fuels, such as nuclear, solar, and biomass, as coal and shale oil are identified as high-emission sources. The document warns that CO2 concentrations reaching 500 ppm would likely cause undesirable climatic changes, whereas 440 ppm is considered a relatively safe level.

Research indicates that under a 3°C warming scenario, approximately 800 million people—about 10% of the global population—would live on land below projected multi-century high tide lines. The risk is most concentrated in Asia, with China, India, Vietnam, and Indonesia among the most endangered nations. Limiting warming to 1.5°C through the Paris Agreement could reduce the affected population to 510 million, potentially saving roughly 50 major cities from needing unprecedented defenses or abandonment.

The document presents a positive scenario for Africa based on the education development rates of the continent's most successful countries. If these rates were applied universally, Africa would achieve universal primary education by 2030 and universal basic education by 2035. By 2050, this trajectory would result in 85% upper-secondary enrolment, a reduction of 3.5 million malnourished children, a decrease of 60 million people living on less than US$ 1.25 per day, and a nearly 8% reduction in the chance of state failure. Economically, this would add US$ 2.5 trillion to Africa's GDP by 2050, exceeding the cumulative cost of education spending by more than five times.

The study identifies biophysical conditions, accessibility, and land management as the primary drivers of forest loss in the Democratic Republic of the Congo's CARPE landscapes. Under a business-as-usual scenario, it predicts a loss of approximately 332,200 hectares of forest and 205 million metric tons of CO2 emissions between 2015 and 2025, with the majority of loss occurring in the Ituri-Epulu-Aru and Lac Télé-Lac Tumba landscapes.

The paper presents a wildfire prediction and loss assessment framework designed for the financial sector, using a case study of five crops in Yunnan Province. It finds that historical annual losses for these crops ranged from US$135.8 million to $254.8 million between 2011 and 2020, with extreme events causing 15 to 30 percent of annual losses. Future projections indicate a shift in the peak Fire Weather Index (FWI) from March/April to February/March, with the SSP2-45 scenario showing the highest mean FWI. The study notes that financial institutions in Yunnan lack the capacity to manage these risks, though insurance companies and banks show interest in integrating physical climate risk analysis for parametric insurance and credit risk management.

The document introduces Aqueduct 4.0, a framework by the World Resources Institute that translates complex hydrological data into 13 water risk indicators covering quantity, quality, and reputational concerns. Using the PCR-GLOBWB 2 model and CMIP6 climate forcings, the framework projects water conditions for 2030, 2050, and 2080 under three scenarios. Findings indicate that 25 countries are currently exposed to extremely high annual water stress, and by 2050, $70 trillion in GDP (31% of global GDP) will be exposed to high water stress, with India, Mexico, Egypt, and Turkey accounting for over half of that figure.