Dengue fever (DF) is a mosquito-borne disease that significantly endangers the well-being of people in most tropical Asia-Pacific areas. The transmission of DF is inherently a spatial process, requiring susceptible humans encountering infectious mosquito. The relationships between humans, mosquito and environment underpin the dynamics and patterns of the epidemic. In this article, the objective is to find out the key abiotic factors in the spatial dynamics of DF. An interdisciplinary study has been carried out by taking advantage of statistics, geographical information science, and remote sensing technologies. The case study is the DF outbreak in the Chinese city of Guangzhou throughout the year of 2002—the most serious DF outbreak in the recent decade. This study shows that the presence and abundance of DF cases can be associated with (a) socioeconomic factors relating to urbanization and (b) meteorological factors favoring mosquito survival.
QiuFXGublerDJLiuJCChenQQ. Dengue in China: a clinical review. Bull World Health Organ. 1993;71:349-359.
2.
WuJYLunZRJamesAAChenXG. Review: dengue fever in mainland China. Am J Trop Med Hyg. 2010;83:664-671.
3.
LiangWHeJLuoHZhouHYangFZhengK. Epidemiological analysis of dengue fever in Guangdong province, 2001-2006. South China J Prev Med. 2007;33:409-411.
4.
FanWFYuSRCosgriffTM. The reemergence of dengue in China. Rev Infect Dis. 1989;11(suppl 4):S847-S853.
5.
GratzNG. Critical review of the vector status of Aedes albopictus. Med Vet Entomol. 2004;18:215-227.
6.
LuLLinHTianLYangWSunJLiuQ. Time series analysis of dengue fever and weather in Guangzhou, China. BMC Public Health. 2009;9:395.
7.
KulldorffMNagarwallaN. Spatial disease clusters: detection and inference. Stat Med. 1995;14:799-810.
8.
Guangzhou Statistical Yearbook 2003. Beijing, China: China Statistics Press; 2003.
9.
JiangZYHueteARDidanKMiuraT. Development of a two-band enhanced vegetation index without a blue band. Remote Sens Environ. 2008;112:3833-3845.
10.
ThomsonMCConnorSJ. Environmental information systems for the control of arthropod vectors of disease. Med Vet Entomol. 2000;14:227-244.
11.
WardMPCarpenterTE. Techniques for analysis of disease clustering in space and in time in veterinary epidemiology. Prev Vet Med. 2000;45:257-284.
12.
LeblondASandozALefebvreGZellerHBicoutDJ. Remote sensing based identification of environmental risk factors associated with West Nile disease in horses in Camargue, France. Prev Vet Med. 2007;79:20-31.
13.
JettenTHFocksDA. Potential changes in the distribution of dengue transmission under climate warming. Am J Trop Med Hyg. 1997;57:285-297.
14.
DelatteHGimonneauGTriboireAFontenilleD. Influence of temperature on immature development, survival, longevity, fecundity, and gonotrophic cycles of Aedes albopictus, vector of chikungunya and dengue in the Indian Ocean. J Med Entomol. 2009;46:33-41.
15.
BeierJCBerryWJCraigGB. Horizontal distribution of adult Aedes triseriatus (Diptera, Culicidae) in relation to habitat structure, oviposition, and other mosquito species. J Med Entomol. 1982;19:239-247.
16.
Guha-SapirDSchimmerB. Dengue fever: new paradigms for a changing epidemiology. Emerg Themes Epidemiol. 2005;2:1.
17.
ClarkeKCMcLaffertySLTempalskiBJ. On epidemiology and geographic information systems: a review and discussion of future directions. Emerg Infect Dis. 1996;2:85-92.
18.
RogersDJRandolphSE. Studying the global distribution of infectious diseases using GIS and RS. Nat Rev Microbiol. 2003;1:231-237.
19.
HaySITatemAJGrahamAJGoetzSJRogersDJ. Global environmental data for mapping infectious disease distribution. Adv Parasitol. 2006;62:37-77.
20.
ZhangYBiPHillerJE. Climate change and the transmission of vector-borne diseases: a review. Asia Pac J Public Health. 2008;20:64-76.
21.
HarleyDBiPHallGSwaminathanATongSWilliamsC. Climate change and infectious diseases in Australia: future prospects, adaptation options, and research priorities. Asia Pac J Public Health. 2011;23(2 suppl):54S-66S.
22.
VanwambekeSOvan BenthemBHKhantikulN. Multi-level analyses of spatial and temporal determinants for dengue infection. Int J Health Geogr. 2006;5:5.
23.
VanwambekeSOLambinEFEichhornMP. Impact of land use change on dengue and malaria in northern Thailand. Ecohealth. 2007;4:37-51.
24.
NitatpattanaNSinghasivanonPKiyoshiH. Potential association of dengue hemorrhagic fever incidence and remote senses land surface temperature, Thailand, 1998. Southeast Asian J Trop Med Public Health. 2007;38:427-433.
25.
Calderón-ArguedasOTroyoASolanoMEAvendañoABeierJC. Urban mosquito species (Diptera: Culicidae) of dengue endemic communities in the Greater Puntarenas area, Costa Rica. Rev Biol Trop. 2009;57:1223-1234.
26.
ArboledaSJaramillo-ONPetersonAT. Mapping environmental dimensions of dengue fever transmission risk in the Aburrá Valley, Colombia. Int J Environ Res Public Health. 2009;6:3040-3055.
27.
FullerDOTroyoABeierJC. El Niño Southern Oscillation and vegetation dynamics as predictors of dengue fever cases in Costa Rica. Environ Res Lett. 2009;4:140111-140118.
