The effect of deforestation on COVID-19 transmission to Indigenous peoples in Brazil: A panel fixed-effects analysis before and after vaccination DOI Creative Commons
Humberto Laudares, Carolina Batista,

Pedro Henrique Gagliardi

et al.

PLOS Global Public Health, Journal Year: 2025, Volume and Issue: 5(4), P. e0004527 - e0004527

Published: April 29, 2025

Brazil had the second-largest death toll during COVID-19 pandemic, with indigenous peoples disproportionately affected among ethnic groups. Parallel to has recorded highest rate of deforestation globally, encroachments into Indigenous territories putting climate stabilization and biodiversity at risk. However, effects on transmission Brazil’s are unknown. This study shows that pre-vaccination period, partially explains populations. Our main results for period indicate a daily increase in per km 2 is associated, average, confirmation 0.76 (p < 0.004, 95% CI: 0.240 - 1.276) new cases 14 days after warnings. estimates suggest least 9.6% all The association between two variables disappears vaccination program. findings provide empirical evidence interplay environmental degradation negative health outcomes vulnerable segment society context pandemic. Furthermore, these highlight importance One Health approach building preparedness future pandemic threats.

Language: Английский

The effect of deforestation on COVID-19 transmission to Indigenous peoples in Brazil: A panel fixed-effects analysis before and after vaccination DOI Creative Commons
Humberto Laudares, Carolina Batista,

Pedro Henrique Gagliardi

et al.

PLOS Global Public Health, Journal Year: 2025, Volume and Issue: 5(4), P. e0004527 - e0004527

Published: April 29, 2025

Brazil had the second-largest death toll during COVID-19 pandemic, with indigenous peoples disproportionately affected among ethnic groups. Parallel to has recorded highest rate of deforestation globally, encroachments into Indigenous territories putting climate stabilization and biodiversity at risk. However, effects on transmission Brazil’s are unknown. This study shows that pre-vaccination period, partially explains populations. Our main results for period indicate a daily increase in per km 2 is associated, average, confirmation 0.76 (p < 0.004, 95% CI: 0.240 - 1.276) new cases 14 days after warnings. estimates suggest least 9.6% all The association between two variables disappears vaccination program. findings provide empirical evidence interplay environmental degradation negative health outcomes vulnerable segment society context pandemic. Furthermore, these highlight importance One Health approach building preparedness future pandemic threats.

Language: Английский

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