Allison Bailey

Mrs. Allison Bailey

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 April 2023 in Communications Earth & Environment
Verified
Journal Article
Open access
PDF file
Paula Ribeiro PristPaula Ribeiro Prist
Paula Ribeiro Prist
FSFlorencia Sangermano
Florencia Sangermano
ABAllison Bailey
Allison Bailey
VBVictoria Bugni
Victoria Bugni
MVMaría del Carmen Villalobos-Segura
María del Carmen Villalobos-Segura
CZCarlos Zambrana-Torrelio
Carlos Zambrana-Torrelio
Indigenous territories are considered important for conservation, but little is known about their role in maintaining human health. Here we quantified the potential human health and economic benefits of protecting these territories in the Brazilian Amazon, by using cardiovascular and respiratory diseases cases, pollutant and forest cover data. Between 2010 and 2019, 1.68 tons of Particulate Matter of small size (PM2.5) were released every year, with negative effects for human health. A lower number of diseases and infections was also found in municipalities with more forested areas, and with a low level of fragmentation, which probably is related to the potential capacity of the Amazon Forest to absorb PM2.5 (26,376.66 tons year−1, 27% of this absorption capacity in Indigenous territories). Our estimates indicate that by protecting Amazon Indigenous territories, over 15 million of respiratory and cardiovascular cases could be avoided every year, with ~$2 billion USD being saved only in health costs.

ABAllison Bailey
Allison Bailey
Paula Ribeiro PristPaula Ribeiro Prist
Paula Ribeiro Prist
Deforestation, landscape dynamics, and socioeconomic factors within the tropical Americas, Africa, and Asia may have different impacts on malaria incidence. To evaluate how these drivers affect malaria incidence at the global and regional scale, we collected malaria incidence rates from 2000 to 2019 from 67 tropical countries, along with forest loss, land use change types, and socioeconomic elements. LASSO regression, linear mixed effect modeling, and k-fold cross validation were used to create and evaluate the models. Regionality plays a role in the significance of varying risk factors. The Tropical Americas model had the highest coefficient of determination (marginal R2 = 0.369), while the Africa model showed the highest predictive accuracy with only a 17.4% error rate. Strong associations between tree cover loss (β = −4037.73, p < 0.001) and percentage forest area (β = 5373.18, p = 0.012) in Africa, and percent of key biodiversity areas under protection (β = 496.71, p < 0.001; β = 1679.20, p < 0.001) in the tropical Americas and Asia with malaria incidence indicates that malaria risk should be considered during conservation policy development, and recommends that individual approaches to policy and investment be considered when implementing malaria interventions on different spatial scales.

28 April 2023 in Communications Earth & Environment
Verified
Journal Article
Open access
PDF file
Paula Ribeiro PristPaula Ribeiro Prist
Paula Ribeiro Prist
FSFlorencia Sangermano
Florencia Sangermano
ABAllison Bailey
Allison Bailey
VBVictoria Bugni
Victoria Bugni
MVMaría del Carmen Villalobos-Segura
María del Carmen Villalobos-Segura
CZCarlos Zambrana-Torrelio
Carlos Zambrana-Torrelio