Variations in health data collection across countries, underreporting of some diseases, and the use of country-level HDI, could influence the results.
The study focuses on a limited set of diseases and does not account for emerging diseases or other health issues influenced by ITs.
PM2.5 Measurement Challenges
PM2.5 estimations are based on satellite data and a chemical transport model potentially affected by cloud cover and lacking in situ PM2.5 data. Additionally, the use of a chemical transport model largely calibrated with data from outside the Amazon could introduce biases, especially regarding dust particle events originating from other regions of the world.
Variations in the definition and recognition of "Indigenous Territories" across Amazon nations, with some areas unmapped, make comparisons challenging.
Simplified landscape metrics
Forest fragmentation metrics were used to represent land cover changes in the Amazon. However, using only such metrics does not represent the heterogeneity in forest cover changes in the Amazon nor their spatial distribution.
Lack of Socioeconomic Nuances
Due to data limitations, the use of country-level socioeconomic indicators may mask important intra-municipal disparities that could influence health outcomes.