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Status: Bibliographieeintrag

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Verfasst von:Liyanage, Prasad [VerfasserIn]   i
 Tissera, Hasitha [VerfasserIn]   i
 Sewe, Maquins Odhiambo [VerfasserIn]   i
 Quam, Mikkel [VerfasserIn]   i
 Amarasinghe, Ananda [VerfasserIn]   i
 Palihawadana, Paba [VerfasserIn]   i
 Wilder-Smith, Annelies [VerfasserIn]   i
 Louis, Valérie R. [VerfasserIn]   i
 Tozan, Yeşim [VerfasserIn]   i
 Rocklöv, Joacim [VerfasserIn]   i
Titel:A spatial hierarchical analysis of the temporal influences of the El Niño-Southern oscillation and weather on Dengue in Kalutara District, Sri Lanka
Verf.angabe:by Prasad Liyanage, Hasitha Tissera, Maquins Sewe, Mikkel Quam, Ananda Amarasinghe, Paba Palihawadana, Annelies Wilder-Smith, Valérie R. Louis, Yesim Tozan and Joacim Rocklöv
E-Jahr:2016
Jahr:4 November 2016
Umfang:21 S.
Fussnoten:Gesehen am 28.05.2020
Titel Quelle:Enthalten in: International journal of environmental research and public health
Ort Quelle:Basel : MDPI AG, 2004
Jahr Quelle:2016
Band/Heft Quelle:13(2016) Artikel-Nummer 1087, 21 Seiten
ISSN Quelle:1660-4601
Abstract:Dengue is the major public health burden in Sri Lanka. Kalutara is one of the highly affected districts. Understanding the drivers of dengue is vital in controlling and preventing the disease spread. This study focuses on quantifying the influence of weather variability on dengue incidence over 10 Medical Officer of Health (MOH) divisions of Kalutara district. Weekly weather variables and data on dengue notifications, measured at 10 MOH divisions in Kalutara from 2009 to 2013, were retrieved and analysed. Distributed lag non-linear model and hierarchical-analysis was used to estimate division specific and overall relationships between weather and dengue. We incorporated lag times up to 12 weeks and evaluated models based on the Akaike Information Criterion. Consistent exposure-response patterns between different geographical locations were observed for rainfall, showing increasing relative risk of dengue with increasing rainfall from 50 mm per week. The strongest association with dengue risk centred around 6 to 10 weeks following rainfalls of more than 300 mm per week. With increasing temperature, the overall relative risk of dengue increased steadily starting from a lag of 4 weeks. We found similarly a strong link between the Oceanic Niño Index to weather patterns in the district in Sri Lanka and to dengue at a longer latency time confirming these relationships. Part of the influences of rainfall and temperature can be seen as mediator in the causal pathway of the Ocean Niño Index, which may allow a longer lead time for early warning signals. Our findings describe a strong association between weather, El Niño-Southern Oscillation and dengue in Sri Lanka.
DOI:doi:10.3390/ijerph13111087
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.3390/ijerph13111087
 Volltext: https://www.mdpi.com/1660-4601/13/11/1087
 DOI: https://doi.org/10.3390/ijerph13111087
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:climate
 dengue
 Oceanic Niño Index
 rainfall
 temperature
 vector control
 weather
K10plus-PPN:1698951574
Verknüpfungen:→ Zeitschrift

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