pone.0259780.s003.tif (963.03 kB)
Boxplot of the posterior distributions of λkjl for each extreme climate index included in the GoM model.
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posted on 2021-11-11, 18:29 authored by Lara de Melo Barbosa Andrade, Gilvan Ramalho Guedes, Kenya Valeria Micaela de Souza Noronha, Cláudio Moisés Santos e Silva, Jéferson Pereira Andrade, Albert Smith Feitosa Suassuna MartinsTXx: Monthly maximum value of daily maximum temperature (oC), TNx: Monthly maximum value of daily minimum temperature (oC); TX90p: Percentage of warm days; TN90p: Percentage of warm nights; DTR: Daily temperature range; Cdd: Dry spell; R99p: Extremely wet days; Profile 1—ER: Extreme rain zones in the Brazilian Amazon and Northeast region; Profile 2—ED-HT: Extreme drought and high temperature in the Brazilian Amazon and Northeast region; ECVI: Extreme Climate Vulnerability Index; Q1-Q5: Quantiles of the extreme climate index distribution.
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world largest rainforestsharp climatic contrastsparasitic diseases correlatemany tropical diseases39 %) prevailstropical disease incidencehealthcare provision ).rainy areas alongextreme climatic eventsdisease incidence levelsxlink "> amazoniasociodemographic indicators ),extremely high temperatureshomoclimatic zones basednortheast region basedestimated vulnerability levelsbrazil incidence levelshomoclimatic zonesnortheast regionhighest levelshigh temperatureextremely hotbrazil exhibithomoclimatic zoneextreme rainextreme droughtcompare areasht ).vulnerability amongurbanization ratethree componentsstudy developssocioeconomic conditionssensitive infectioussanitation conditionsresults suggestrelated vulnerabilityregional vulnerabilityoften affectedmembership methodmain driverht areasfoster methodexposure emergesencompassing exposurecomparable resolutionsbrazilian amazoniaadaptive capacity
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