| Autor: |
Thi Tuyet-Hanh, Tran, Nhat Cam, Nguyen, Thi Thanh Huong, Le, Khanh Long, Tran, Mai Kien, Tran, Thi Kim Hanh, Dang, Huu Quyen, Nguyen, Nu Quy Linh, Tran, Rocklöv, Joacim, Quam, Mikkel, Van Minh, Hoang |
| Předmět: |
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| Zdroj: |
Asia-Pacific Journal of Public Health; Sep2018, Vol. 30 Issue 6, p532-541, 10p |
| Abstrakt: |
Dengue fever/dengue hemorrhagic fever (DF/DHF) has been an important public health challenge in Viet Nam and worldwide. This study was implemented in 2016-2017 using retrospective secondary data to explore associations between monthly DF/DHF cases and climate variables during 2008 to 2015. There were 48 175 DF/DHF cases reported, and the highest number of cases occurred in November. There were significant correlations between monthly DF/DHF cases with monthly mean of evaporation (r = 0.236, P < .05), monthly relative humidity (r = −0.358, P < .05), and monthly total hours of sunshine (r = 0.389, P < .05). The results showed significant correlation in lag models but did not find direct correlations between monthly DF/DHF cases and monthly average rainfall and temperature. The study recommended that health staff in Hanoi should monitor DF/DHF cases at the beginning of epidemic period, starting from May, and apply timely prevention and intervention measures to avoid the spreading of the disease in the following months. A larger scale study for a longer period of time and adjusting for other potential influencing factors could better describe the correlations, modelling/projection, and developing an early warning system for the disease, which is important under the impacts of climate change and climate variability. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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