2024
Incorporating Incubation Period Distributions to Precisely Estimate the Association Between Rainfall and Legionella Infection
Cassell K, Warren J, Heneghan C, Weinberger D. Incorporating Incubation Period Distributions to Precisely Estimate the Association Between Rainfall and Legionella Infection. The Journal Of Infectious Diseases 2024, jiae625. PMID: 39689015, DOI: 10.1093/infdis/jiae625.Peer-Reviewed Original ResearchHeavy rainfallLegionnaires' diseaseSame-day exposureImpact of relative humidityLD casesStandard deviation increasePublic water supplyEstimate exposureRandom rainfallWater interactionsRainfallIncidence of LDWeather eventsWater supplyDeviation increaseIncreased riskLegionella infectionRainfall 2Absolute humidityRelative humidityLD riskBayesian modeling approachRainfall events and daily mortality across 645 global locations: two stage time series analysis
He C, Breitner-Busch S, Huber V, Chen K, Zhang S, Gasparrini A, Bell M, Kan H, Royé D, Armstrong B, Schwartz J, Sera F, Vicedo-Cabrera A, Honda Y, Jaakkola J, Ryti N, Kyselý J, Guo Y, Tong S, de'Donato F, Michelozzi P, Coelho M, Saldiva P, Lavigne E, Orru H, Indermitte E, Pascal M, Goodman P, Zeka A, Kim Y, Diaz M, Arellano E, Overcenco A, Klompmaker J, Rao S, Palomares A, Carrasco G, Seposo X, Pereira da Silva S, Madureira J, Holobaca I, Scovronick N, Acquaotta F, Kim H, Lee W, Hashizume M, Tobias A, Íñiguez C, Forsberg B, Ragettli M, Guo Y, Pan S, Osorio S, Li S, Zanobetti A, Dang T, Van Dung D, Schneider A. Rainfall events and daily mortality across 645 global locations: two stage time series analysis. The BMJ 2024, 387: e080944. PMID: 39384295, DOI: 10.1136/bmj-2024-080944.Peer-Reviewed Original ResearchConceptsYear return periodReturn periodsRainfall eventsVegetation coverageCharacteristics of daily rainfallDaily rainfall intensityDaily rainfallRainfall intensityRespiratory mortalityClimate typesRainfallLocal climateIntensity indexGlobal scaleTime series analysisMortality riskRelative riskAssociated with respiratory mortalityDaily mortalityDaily mortality dataClimateEstimate mortality riskIncreased relative riskSeries analysisGlobal locationsAssociation of exposure to extreme rainfall events with cause-specific mortality in North Carolina, US
Chan K, Ban J, Ma Y, Chen K. Association of exposure to extreme rainfall events with cause-specific mortality in North Carolina, US. Environmental Research Letters 2024, 19: 044006. DOI: 10.1088/1748-9326/ad2dd2.Peer-Reviewed Original ResearchCause-specific mortalityExtreme rainfall eventsDaily total precipitationRainfall eventsCounty-level mortality dataNorth Carolina countiesTime-series studyRisk of mortalityDaily rainfall measurementsNon-accidental diseasesNorth CarolinaMortality dataRespiratory mortalityExternal mortalityMortality riskRainfall measurementsTotal precipitationNon-accidentalRace groupsMeta-analysisCardiovascular diseaseRainfallStudy periodTwo-stage analysisNorth
2018
Changes in Ugandan Climate Rainfall at the Village and Forest Level
Ssentongo P, Muwanguzi A, Eden U, Sauer T, Bwanga G, Kateregga G, Aribo L, Ojara M, Mugerwa W, Schiff S. Changes in Ugandan Climate Rainfall at the Village and Forest Level. Scientific Reports 2018, 8: 3551. PMID: 29476058, PMCID: PMC5824879, DOI: 10.1038/s41598-018-21427-5.Peer-Reviewed Original ResearchConceptsDaily rainfall estimatesShort-term anomaliesRainfall estimatesRainfall decreaseHistorical rainfallAtmospheric AdministrationNational OceanographicAverage rainfallRainfallComplete recordsAgricultural regionsBwindi ForestAfrican continentSouthwest UgandaOverall decreaseAgriculture productionWestern UgandaSignificant implicationsWildlife habitatOceanographicContinentARC2AnomaliesGorilla habitatForest level
2017
Assessing Climate Driven Malaria Variability in Ghana Using a Regional Scale Dynamical Model
Asare E, Amekudzi L. Assessing Climate Driven Malaria Variability in Ghana Using a Regional Scale Dynamical Model. Climate 2017, 5: 20. DOI: 10.3390/cli5010020.Peer-Reviewed Original ResearchHydrology schemeSpatio-temporal variabilityClimate variabilityRainfall datasetsRainfall peakRegional modelAgro-ecological zonesSynoptic stationsModel resultsTerms of intensityMonthly variationEcological variabilitySeasonal patternUseful skillsVariabilityField surveyMalaria transmissionTime lagZoneMajor public health challengeMalaria transmission patternsPublic health challengeDynamical modelRainfallClimate
2016
A Regional Model for Malaria Vector Developmental Habitats Evaluated Using Explicit, Pond-Resolving Surface Hydrology Simulations
Asare E, Tompkins A, Bomblies A. A Regional Model for Malaria Vector Developmental Habitats Evaluated Using Explicit, Pond-Resolving Surface Hydrology Simulations. PLOS ONE 2016, 11: e0150626. PMID: 27003834, PMCID: PMC4803214, DOI: 10.1371/journal.pone.0150626.Peer-Reviewed Original ResearchConceptsLocal rain gauge dataPond modelSatellite-retrieved precipitationSub-seasonal evolutionDynamical malaria modelRain gauge dataLight rainfall eventsData-sparse regionsGrid cell locationsSurface hydrologyHydrology simulationsIntense rainfallLight rainfallPond fractionRainfall eventsHydrology parametersYear simulationRegional modelSurface runDefault schemeSparse regionsParametrization schemeSoil textureRainfallIndividual ponds
2014
Public perceptions of rainfall change in India
Howe P, Thaker J, Leiserowitz A. Public perceptions of rainfall change in India. Climatic Change 2014, 127: 211-225. DOI: 10.1007/s10584-014-1245-6.Peer-Reviewed Original ResearchClimate changeInstrumental recordsLocal instrumental recordsFrequency of floodsFrequency of droughtsLocal climate changeLocal weather patternsExtreme weather eventsGlobal climate changeRainfall changesSevere stormsAverage rainfallWeather patternsWeather eventsLocal weatherLocal climateRainfallPrecipitationLocal changesMitigation policiesAdaptive capacityRecordsProactive adaptationImportant precursorMonsoon
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