Spatiotemporal responses of dengue fever transmission to the road network in an urban area

Acta Tropica

Volumn 183, Issue , 2018, Pages 8-13

  Li, Qiaoxuan ^a,b   Cao, Wei ^a   Ren, Hongyan ^a   Ji, Zhonglin ^a,b   Jiang, Huixian ^b  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b FUJIAN NORMAL UNIVERSITY   (China)

Author keywords

Dengue; Foshan; Guangzhou; Road networks

Indexed keywords

DENGUE FEVER; DISEASE PREVALENCE; DISEASE SEVERITY; DISEASE TRANSMISSION; DISEASE VECTOR; EPIDEMIOLOGY; SPATIOTEMPORAL ANALYSIS; URBAN AREA;

ARTICLE; CHINA; DENGUE; EPIDEMIC; GEOGRAPHIC INFORMATION SYSTEM; HIGHWAY; HUMAN; URBAN AREA; URBANIZATION; VIRUS TRANSMISSION; CITY PLANNING; GEOGRAPHY; INFORMATION TECHNOLOGY; SPATIOTEMPORAL ANALYSIS; STATISTICS AND NUMERICAL DATA; TRAFFIC AND TRANSPORT; TRANSMISSION;

CHINA; FOSHAN; GUANGDONG; GUANGZHOU;

CHINA; CITY PLANNING; DENGUE; DISEASE OUTBREAKS; GEOGRAPHY; HUMANS; INFORMATION TECHNOLOGY; SPATIO-TEMPORAL ANALYSIS; TRANSPORTATION; URBANIZATION;

EID: 85044739994     PISSN: 0001706X     EISSN: 18736254     Source Type: Journal    
DOI: 10.1016/j.actatropica.2018.03.026     Document Type: Article

References (36)

1. Arnfield, A.J., Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. Int. J. Climatol. 23 (2003), 1–26.
2. Benschop, J., Hazelton, M.L., Stevenson, M.A., Dahl, J., Morris, R.S., French, N.P., Descriptive spatial epidemiology of subclinical Salmonella infection in finisher pig herds: application of a novel method of spatially adaptive smoothing. Vet. Res., 39, 2008, 2.
3. Bhatt, S., Gething, P.W., Brady, O.J., Messina, J.P., Farlow, A.W., Moyes, C.L., Drake, J.M., Brownstein, J.S., Hoen, A.G., Sankoh, O., Myers, M.F., George, D.B., Jaenisch, T., Wint, G.R., Simmons, C.P., Scott, T.W., Farrar, J.J., Hay, S.I., The global distribution and burden of dengue. Nature 496 (2013), 504–507.
4. Bithell, J.F., An application of density estimation to geographical epidemiology. Stat. Med. 9 (1990), 691–701.
5. Bithell, J.F., Estimation of relative risk functions. Stat. Med. 10 (1991), 1745–1751.
6. Bonizzoni, M., Gasperi, G., Chen, X., James, A.A., The invasive mosquito species Aedes albopictus: current knowledge and future perspectives. Trends Parasitol. 29 (2013), 460–468.
7. Chen, Y., Chang, K.-t., Han, F., Karacsonyi, D., Qian, Q., Investigating urbanization and its spatial determinants in the central districts of Guangzhou, China. Habitat Int. 51 (2016), 59–69.
8. Cheng, Q., Jing, Q., Spear, R.C., Marshall, J.M., Yang, Z., Gong, P., Climate and the timing of imported cases as determinants of the dengue outbreak in guangzhou, 2014: evidence from a mathematical model. PLoS Negl. Trop. Dis., 10, 2016, e0004417.
9. Chew, C.H., Woon, Y.L., Amin, F., Adnan, T.H., Abdul Wahab, A.H., Ahmad, Z.E., Bujang, M.A., Abdul Hamid, A.M., Jamal, R., Chen, W.S., Hor, C.P., Yeap, L., Hoo, L.P., Goh, P.P., Lim, T.O., Rural-urban comparisons of dengue seroprevalence in Malaysia. BMC Public Health, 16, 2016, 824.
10. Fan, J., Lin, H., Wang, C., Bai, L., Yang, S., Chu, C., Yang, W., Liu, Q., Identifying the high-risk areas and associated meteorological factors of dengue transmission in Guangdong Province, China from 2005 to 2011. Epidemiol. Infect. 142 (2014), 634–643.
11. Gardner, L., Sarkar, S., A global airport-based risk model for the spread of dengue infection via the air transport network. PLoS One, 8, 2013, e72129.
12. Gu, W., Regens, J.L., Beier, J.C., Novak, R.J., Source reduction of mosquito larval habitats has unexpected consequences on malaria transmission. Proc. Natl. Acad. Sci. U. S. A. 103 (2006), 17560–17563.
13. Gubler, D.J., Dengue, urbanization and globalization: the unholy trinity of the 21(st) century. Trop. Med. Health 39 (2011), 3–11.
14. Guzman, M.G., Halstead, S.B., Artsob, H., Buchy, P., Farrar, J., Gubler, D.J., Hunsperger, E., Kroeger, A., Margolis, H.S., Martinez, E., Nathan, M.B., Pelegrino, J.L., Simmons, C., Yoksan, S., Peeling, R.W., Dengue: a continuing global threat. Nat. Rev. Microbiol. 8 (2010), S7–16.
15. Hales, S., de Wet, N., Maindonald, J., Woodward, A., Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet 360 (2002), 830–834.
16. Hemme, R.R., Thomas, C.L., Chadee, D.D., Severson, D.W., Influence of urban landscapes on population dynamics in a short-distance migrant mosquito: evidence for the dengue vector Aedes aegypti. PLoS Negl. Trop. Dis., 4, 2009, e634.
17. Higa, Y., Dengue vectors and their spatial distribution. Trop. Med. Health 39 (2011), 17–27.
18. Hu, W., Clements, A., Williams, G., Tong, S., Mengersen, K., Spatial patterns and socioecological drivers of dengue fever transmission in Queensland, Australia. Environ. Health Perspect. 120 (2012), 260–266.
19. Huber, K., Loan, L.L., Chantha, N., Failloux, A.B., Human transportation influences Aedes aegypti gene flow in Southeast Asia. Acta Trop. 90 (2004), 23–29.
20. Kalnay, E., Cai, M., Impact of urbanization and land-use change on climate. Nature 423 (2003), 528–531.
21. Li, Z., Yin, W., Clements, A., Williams, G., Lai, S., Zhou, H., Zhao, D., Guo, Y., Zhang, Y., Wang, J., Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China. BMC Infect. Dis. 12:132 (2012), 131–132 139.
22. Li, Y., Kamara, F., Zhou, G., Puthiyakunnon, S., Li, C., Liu, Y., Zhou, Y., Yao, L., Yan, G., Chen, X.G., Urbanization increases Aedes albopictus larval habitats and accelerates mosquito development and survivorship. PLoS Negl. Trop. Dis., 8, 2014, e3301.
23. Li, Q., Ren, H., Zheng, L., Cao, W., Zhang, A., Zhuang, D., Lu, L., Jiang, H., Ecological niche modeling identifies fine-scale areas at high risk of dengue fever in the pearl river delta, China. Int. J. Environ. Res. Public Health, 14, 2017.
24. Mahabir, R.S., Severson, D.W., Chadee, D.D., Impact of road networks on the distribution of dengue fever cases in Trinidad, West Indies. Acta Trop. 123 (2012), 178–183.
25. Nakata, Y., Rost, G., Global analysis for spread of infectious diseases via transportation networks. J. Math. Biol. 70 (2015), 1411–1456.
26. Qi, X., Wang, Y., Li, Y., Meng, Y., Chen, Q., Ma, J., Gao, G.F., The effects of socioeconomic and environmental factors on the incidence of dengue fever in the pearl river delta, China, 2013. PLoS Negl. Trop. Dis., 9, 2015, e0004159.
27. Russell, R.C., Webb, C.E., Williams, C.R., Ritchie, S.A., Mark-release-recapture study to measure dispersal of the mosquito Aedes aegypti in Cairns, Queensland, Australia. Med. Vet. Entomol., 19, 2005, 451.
28. Sanna, M., Hsieh, Y.H., Ascertaining the impact of public rapid transit system on spread of dengue in urban settings. Sci. Total Environ. 598 (2017), 1151–1159.
29. Shi, X., Selection of bandwidth type and adjustment side in kernel density estimation over inhomogeneous backgrounds. Int. J. Geogr. Inf. Sci. 24 (2010), 643–660.
30. Tao, H., Pan, Z., Pan, M., Zhou, L., Xu, Y., Lu, M., Mixing spatial-temporal transmission patterns of metropolis dengue fever: a case study of Guangzhou, China. Acta Geogr. Sin. 71 (2016), 1653–1662.
31. Teurlai, M., Menkes, C.E., Cavarero, V., Degallier, N., Descloux, E., Grangeon, J.P., Guillaumot, L., Libourel, T., Lucio, P.S., Mathieu-Daude, F., Mangeas, M., Socio-economic and climate factors associated with dengue fever spatial heterogeneity: a worked example in New Caledonia. PLoS Negl. Trop. Dis., 9, 2015, e0004211.
32. Tian, H., Huang, S., Zhou, S., Bi, P., Yang, Z., Li, X., Chen, L., Cazelles, B., Yang, J., Luo, L., Jing, Q., Yuan, W., Pei, Y., Sun, Z., Yue, T., Kwan, M.P., Liu, Q., Wang, M., Tong, S., Brownstein, J.S., Xu, B., Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China. Environ. Res. 150 (2016), 299–305.
33. Troyo, A., Fuller, D.O., Calderón-Arguedas, O., Solano, M.E., Beier, J.C., Urban structure and dengue incidence in Puntarenas: Costa Rica. Singapore J. Trop. Geogr. 30 (2009), 265–282.
34. Wen, T.-H., Lin, M.-H., Fang, C.-T., Population movement and vector-borne disease transmission: differentiating spatial–temporal diffusion patterns of commuting and noncommuting dengue cases. Ann. Assoc. Am. Geogr. 102 (2012), 1026–1037.
35. Wilder-Smith, A., Dengue vaccines: dawning at last?. Lancet 384 (2014), 1327–1329.
36. Wu, P.C., Lay, J.G., Guo, H.R., Lin, C.Y., Lung, S.C., Su, H.J., Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan. Sci. Total Environ. 407 (2009), 2224–2233.