Meteorological factors affecting dengue incidence in Davao, Philippines
Abstract Background Dengue fever is a major public health concern in the Philippines, and has been a significant cause of hospitalizations and deaths among young children. Previous literature links climate change to dengue, and with increasingly unpredictable changing climate patterns, there is a ne...
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| Format: | Article |
| Language: | English |
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BMC
2018-05-01
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| Series: | BMC Public Health |
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| Online Access: | http://link.springer.com/article/10.1186/s12889-018-5532-4 |
| _version_ | 1811286921164357632 |
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| author | Jesavel A. Iguchi Xerxes T. Seposo Yasushi Honda |
| author_facet | Jesavel A. Iguchi Xerxes T. Seposo Yasushi Honda |
| author_sort | Jesavel A. Iguchi |
| collection | DOAJ |
| description | Abstract Background Dengue fever is a major public health concern in the Philippines, and has been a significant cause of hospitalizations and deaths among young children. Previous literature links climate change to dengue, and with increasingly unpredictable changing climate patterns, there is a need to understand how these meteorological variables affect dengue incidence in a highly endemic area. Methods Weekly dengue incidences (2011–2015) in Davao Region, Philippines were obtained from the Department of Health. Same period of weekly local meteorological variables were obtained from the National Climatic Data Center (NCDC) and the National Oceanic and Atmospheric Administration (NOAA). Wavelet coherence analysis was used to determine the presence of non-stationary relationships, while a quasi-Poisson regression combined with distributed lag nonlinear model (DLNM) was used to analyze the association between meteorological variables and dengue incidences. Results Significant periodicity was detected in the 7 to 14-week band between the year 2011–2012 and a 26-week periodicity from the year 2013–2014. Overall cumulative risks were particularly high for rainfall at 32 mm (RR: 1.67, 95% CI: 1.07–2.62), while risks were observed to increase with increasing dew point. On the other hand, lower average temperature of 26 °C has resulted to an increased RR of dengue (RR: 1.96, 95% CI: 0.47–8.15) while higher temperature from 27 °C to 31 °C has lower RR. Conclusions The observed possible threshold levels of these meteorological variables can be integrated into an early warning system to enhance dengue prediction for better vector control and management in the future. |
| first_indexed | 2024-04-13T03:08:25Z |
| format | Article |
| id | doaj.art-3fe6c65e52454c98844627df0b60f6d4 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-04-13T03:08:25Z |
| publishDate | 2018-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-3fe6c65e52454c98844627df0b60f6d42022-12-22T03:05:08ZengBMCBMC Public Health1471-24582018-05-0118111010.1186/s12889-018-5532-4Meteorological factors affecting dengue incidence in Davao, PhilippinesJesavel A. Iguchi0Xerxes T. Seposo1Yasushi Honda2Department of Health Care Policy and Health Economics, Graduate School of Comprehensive Human SciencesDepartment of Environmental Engineering, Graduate School of Engineering, Kyoto UniversityFaculty of Health and Sports Sciences, University of TsukubaAbstract Background Dengue fever is a major public health concern in the Philippines, and has been a significant cause of hospitalizations and deaths among young children. Previous literature links climate change to dengue, and with increasingly unpredictable changing climate patterns, there is a need to understand how these meteorological variables affect dengue incidence in a highly endemic area. Methods Weekly dengue incidences (2011–2015) in Davao Region, Philippines were obtained from the Department of Health. Same period of weekly local meteorological variables were obtained from the National Climatic Data Center (NCDC) and the National Oceanic and Atmospheric Administration (NOAA). Wavelet coherence analysis was used to determine the presence of non-stationary relationships, while a quasi-Poisson regression combined with distributed lag nonlinear model (DLNM) was used to analyze the association between meteorological variables and dengue incidences. Results Significant periodicity was detected in the 7 to 14-week band between the year 2011–2012 and a 26-week periodicity from the year 2013–2014. Overall cumulative risks were particularly high for rainfall at 32 mm (RR: 1.67, 95% CI: 1.07–2.62), while risks were observed to increase with increasing dew point. On the other hand, lower average temperature of 26 °C has resulted to an increased RR of dengue (RR: 1.96, 95% CI: 0.47–8.15) while higher temperature from 27 °C to 31 °C has lower RR. Conclusions The observed possible threshold levels of these meteorological variables can be integrated into an early warning system to enhance dengue prediction for better vector control and management in the future.http://link.springer.com/article/10.1186/s12889-018-5532-4DengueMeteorologicalAedesRainfallTemperatureDistributed lag nonlinear model |
| spellingShingle | Jesavel A. Iguchi Xerxes T. Seposo Yasushi Honda Meteorological factors affecting dengue incidence in Davao, Philippines BMC Public Health Dengue Meteorological Aedes Rainfall Temperature Distributed lag nonlinear model |
| title | Meteorological factors affecting dengue incidence in Davao, Philippines |
| title_full | Meteorological factors affecting dengue incidence in Davao, Philippines |
| title_fullStr | Meteorological factors affecting dengue incidence in Davao, Philippines |
| title_full_unstemmed | Meteorological factors affecting dengue incidence in Davao, Philippines |
| title_short | Meteorological factors affecting dengue incidence in Davao, Philippines |
| title_sort | meteorological factors affecting dengue incidence in davao philippines |
| topic | Dengue Meteorological Aedes Rainfall Temperature Distributed lag nonlinear model |
| url | http://link.springer.com/article/10.1186/s12889-018-5532-4 |
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