Future Changes in Climatic Variables Due to Greenhouse Warming Increases Dengue Incidence in the Region of the Tucurui Hydroelectric Dam in the Amazon

被引:1
作者
Franchito, Sergio H. [1 ]
Rao, V. Brahmananda [1 ]
Reyes Fernandez, Julio Pablo [1 ]
Giarolla, E. [1 ]
机构
[1] Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudos Climat, CP 515, BR-12245970 Sao Jose Dos Campos, SP, Brazil
关键词
Dengue incidence in Amazonia; Relationships between temperature and dengue incidence; Tucurui hydroelectric dam; TEMPERATURE; TRANSMISSION; FEVER; POPULATION; VECTOR; CIRCULATION; SIMULATIONS; DYNAMICS; MODEL;
D O I
10.1007/s00024-021-02849-1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This study investigates the impact of future changes in climatic variables on dengue incidence in the region of the Tucurui dam in the Amazon. Tucurui dam is the one of the largest hydroelectric power stations in the Amazon. Correlations and regression analysis through least squares fitting between dengue cases and temperature, precipitation, and humidity are obtained. Positive correlations between dengue incidence and temperature are found for lags from 4 to 5 months (higher correlation for lag 5), dengue and precipitation for lags 0 up to 1, and dengue and humidity for lag 0. The positive correlations between dengue and precipitation and between dengue and humidity are higher for the simultaneous correlation. To investigate the impact of the future changes in these climatic variables in the region, projections of RegCM4 model simulations under the RCP 8.5 scenario are obtained. The model projections indicate a warming and moisture increase in the region near the dam at the end of the twenty-first century. Regression analysis using the model projections indicates that the dengue incidence may increase substantially in future climate scenarios in this region (more than fivefold compared with the present climate). This increase is between two and three times higher than the global estimates of dengue incidence in the future. It is suggested that the incidence of dengue cases is more sensitive to changes in temperature. Vector parameters increase with temperature in the future, indicating that the temperature conditions are highly favorable for the spread of the disease in the region. The results indicate that cities in the area surrounding the Tucurui hydroelectric dam are areas of potential dengue incidence in the future. These findings may be applied to hydroelectric dams in other areas of the world. However, future studies involving additional dams are necessary. The results suggest an increase in climate-driven risk of transmission from Aedes aegypti throughout the entire Amazon, and especially the eastern and southern parts.
引用
收藏
页码:4033 / 4047
页数:15
相关论文
共 41 条
[1]   Temperature and Dengue Virus Infection in Mosquitoes: Independent Effects on the Immature and Adult Stages [J].
Alto, Barry W. ;
Bettinardi, David .
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2013, 88 (03) :497-505
[2]   A simple periodic-forced model for dengue fitted to incidence data in Singapore [J].
Andraud, Mathieu ;
Hens, Niel ;
Beutels, Philippe .
MATHEMATICAL BIOSCIENCES, 2013, 244 (01) :22-28
[3]   Modeling the transmission dynamics of dengue fever: Implications of temperature effects [J].
Chen, Szu-Chieh ;
Hsieh, Meng-Huan .
SCIENCE OF THE TOTAL ENVIRONMENT, 2012, 431 :385-391
[4]   Lagged temperature effect with mosquito transmission potential explains dengue variability in southern Taiwan: Insights from a statistical analysis [J].
Chen, Szu-Chieh ;
Liao, Chung-Min ;
Chio, Chia-Pin ;
Chou, Hsiao-Han ;
You, Shu-Han ;
Cheng, Yi-Hsien .
SCIENCE OF THE TOTAL ENVIRONMENT, 2010, 408 (19) :4069-4075
[5]   A dengue transmission model in Thailand considering sequential infections with all four serotypes [J].
Chikaki, Eriko ;
Ishikawa, Hirofumi .
JOURNAL OF INFECTION IN DEVELOPING COUNTRIES, 2009, 3 (09) :711-722
[6]   Sea and Lake Breezes: A Review of Numerical Studies [J].
Crosman, Erik T. ;
Horel, John D. .
BOUNDARY-LAYER METEOROLOGY, 2010, 137 (01) :1-29
[7]   Dengue in a changing climate [J].
Ebi, Kristie L. ;
Nealon, Joshua .
ENVIRONMENTAL RESEARCH, 2016, 151 :115-123
[8]   Future Changes in the Aridity of South America from Regional Climate Model Projections [J].
Fernandez, Julio P. R. ;
Franchito, Sergio H. ;
Rao, V. Brahmananda .
PURE AND APPLIED GEOPHYSICS, 2019, 176 (06) :2719-2728
[9]   Changes in Koppen-Trewartha climate classification over South America from RegCM4 projections [J].
Fernandez, Julio P. R. ;
Franchito, Sergio H. ;
Rao, V. Brahmananda ;
Llopart, Marta .
ATMOSPHERIC SCIENCE LETTERS, 2017, 18 (11) :427-434
[10]  
Fochs DA., 1999, J MED ENTOMOL, V30, P1018, DOI [10.1093/jmedent/30.6.1018, DOI 10.1093/JMEDENT/30.6.1018]