Table 1 List of publications selected for the systematic review

(1)

S. Arboleda, N. Jaramillo-O, and A. T. Peterson, “Mapping environmental dimensions of dengue fever transmission risk in the Aburrá Valley, Colombia,” Int. J. Environ. Res. Public. Health, vol. 6, no. 12, pp. 3040–3055, Dec. 2009.

(2)

K. C. Castillo, B. Koerbl, A. Stewart, J. F. Gonzalez, and F. Ponce, “Application of spatial analysis to the examination of dengue fever in Guayaquil, Ecuador,” Spat. Stat. 2011 Mapp. Glob. Change, vol. 7, pp. 188–193, 2011.

(3)

R. Cordeiro, M. R. Donalisio, V. R. Andrade, A. C. N. Mafra, L. B. Nucci, J. C. Brown, and C. Stephan, “Spatial distribution of the risk of dengue fever in southeast Brazil, 2006-2007,” BMC Public Health, vol. 11, p. 355, 2011.

(4)

M. C. de Mattos Almeida, W. T. Caiaffa, R. M. Assunção, and F. A. Proietti, “Spatial vulnerability to dengue in a Brazilian urban area during a 7-year surveillance,” J. Urban Health Bull. N. Y. Acad. Med., vol. 84, no. 3, pp. 334–345, May 2007.

(5)

D. P. O. de Melo, L. R. Scherrer, and Á. E. Eiras, “Dengue fever occurrence and vector detection by larval survey, ovitrap and MosquiTRAP: a space-time clusters analysis,” PloS One, vol. 7, no. 7, p. e42125, 2012.

(6)

S. K. Dickin, C. J. Schuster-Wallace, and S. J. Elliott, “Developing a Vulnerability Mapping Methodology: Applying the Water-Associated Disease Index to Dengue in Malaysia,” Plos One, vol. 8, no. 5, May 2013.

(7)

R. F. Flauzino, R. Souza-Santos, C. Barcelllos, R. Gracie, M. de A. F. M. Magalhães, and R. M. de Oliveira, “Spatial heterogeneity of dengue fever in local studies, City of Niterói, Southeastern Brazil,” Rev. Saúde Pública, vol. 43, no. 6, pp. 1035–1043, Dec. 2009.

(8)

B. Galli and F. Chiaravalloti Neto, “(Temporal-spatial risk model to identify areas at high-risk for occurrence of dengue fever),” Rev. Saúde Pública, vol. 42, no. 4, pp. 656–663, Aug. 2008.

(9)

H. Hassan, S. Shohaimi, and N. R. Hashim, “Risk mapping of dengue in Selangor and Kuala Lumpur, Malaysia,” Geospatial Health, vol. 7, no. 1, pp. 21–25, Nov. 2012.

(10)

N. A. Honório, R. M. R. Nogueira, C. T. Codeço, M. S. Carvalho, O. G. Cruz, M. de A. F. M. Magalhães, J. M. G. de Araújo, E. S. M. de Araújo, M. Q. Gomes, L. S. Pinheiro, C. da Silva Pinel, and R. Lourenço-de-Oliveira, “Spatial evaluation and modeling of Dengue seroprevalence and vector density in Rio de Janeiro, Brazil,” PLoS Negl. Trop. Dis., vol. 3, no. 11, p. e545, 2009.

(11)

W. Hu, A. Clements, G. Williams, S. Tong, and K. Mengersen, “Spatial patterns and socioecological drivers of dengue fever transmission in Queensland, Australia,” Environ. Health Perspect., vol. 120, no. 2, pp. 260–266, Feb. 2012.

(12)

P. Jeefoo, N. K. Tripathi, and M. Souris, “Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao province, Thailand,” Int. J. Environ. Res. Public. Health, vol. 8, no. 1, pp. 51–74, Jan. 2011.

(13)

H. M. Khormi and L. Kumar, “Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study,” Sci. Total Environ., vol. 409, no. 22, pp. 4713–4719, Oct. 2011.

(14)

H. M. Khormi, L. Kumar, and R. A. Elzahrany, “Modeling spatio-temporal risk changes in the incidence of Dengue fever in Saudi Arabia: a geographical information system case study,” Geospatial Health, vol. 6, no. 1, pp. 77–84, Nov. 2011.

(15)

H. M. Khormi and L. Kumar, “Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment,” Geospatial Health, vol. 6, no. 2, pp. 171–176, May 2012.

(16)

R. Lowe, T. C. Bailey, D. B. Stephenson, R. J. Graham, C. A. S. Coelho, M. S. Carvalho, and C. Barcellos, “Spatio-temporal modelling of climate-sensitive disease risk: Towards an early warning system for dengue in Brazil,” Comput. Geosci., vol. 37, no. 3, pp. 371–381, Mar. 2011.

(17)

E. A. Machado-Machado, “Empirical mapping of suitability to dengue fever in Mexico using species distribution modeling,” Appl. Geogr., vol. 33, no. 1, pp. 82–93, Apr. 2012.

(18)

A. T. Peterson, C. Martínez-Campos, Y. Nakazawa, and E. Martínez-Meyer, “Time-specific ecological niche modeling predicts spatial dynamics of vector insects and human dengue cases,” Trans. R. Soc. Trop. Med. Hyg., vol. 99, no. 9, pp. 647–655, Sep. 2005.

(19)

X. Porcasi, C. H. Rotela, M. V. Introini, N. Frutos, S. Lanfri, G. Peralta, E. A. De Elia, M. A. Lanfri, and C. M. Scavuzzo, “An operative dengue risk stratification system in Argentina based on geospatial technology,” Geospatial Health, vol. 6, no. 3, pp. S31–42, Sep. 2012.

(20)

C. Rotela, F. Fouque, M. Lamfri, P. Sabatier, V. Introini, M. Zaidenberg, and C. Scavuzzo, “Space-time analysis of the dengue spreading dynamics in the 2004 Tartagal outbreak, Northern Argentina,” Acta Trop., vol. 103, no. 1, pp. 1–13, Jul. 2007.

(21)

A. Shafie, “Evaluation of the Spatial Risk Factors for High Incidence of Dengue Fever and Dengue Hemorrhagic Fever Using GIS Application,” Sains Malays., vol. 40, no. 8, pp. 937–943, Aug. 2011.

(22)

M. Sriprom, K. Chalvet-Monfray, T. Chaimane, K. Vongsawat, and D. J. Bicout, “Monthly district level risk of dengue occurrences in Sakon Nakhon Province, Thailand,” Sci. Total Environ., vol. 408, no. 22, pp. 5521–5528, Oct. 2010.

(23)

T.-H. Wen, N. H. Lin, C.-H. Lin, C.-C. King, and M.-D. Su, “Spatial mapping of temporal risk characteristics to improve environmental health risk identification: a case study of a dengue epidemic in Taiwan,” Sci. Total Environ., vol. 367, no. 2–3, pp. 631–640, Aug. 2006.

(24)

T.-H. Wen, N. H. Lin, D.-Y. Chao, K.-P. Hwang, C.-C. Kan, K. C.-M. Lin, J. T.-S. Wu, S. Y.-J. Huang, I.-C. Fan, and C.-C. King, “Spatial-temporal patterns of dengue in areas at risk of dengue hemorrhagic fever in Kaohsiung, Taiwan, 2002,” Int. J. Infect. Dis. IJID Off. Publ. Int. Soc. Infect. Dis., vol. 14, no. 4, pp. e334–343, Apr. 2010.

(25)

P.-C. Wu, J.-G. Lay, H.-R. Guo, C.-Y. Lin, S.-C. Lung, and H.-J. Su, “Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan,” Sci. Total Environ., vol. 407, no. 7, pp. 2224–2233, Mar. 2009.

(26)

H.-L. Yu, S.-J. Yang, H.-J. Yen, and G. Christakos, “A spatio-temporal climate-based model of early dengue fever warning in southern Taiwan,” Stoch. Environ. Res. Risk Assess., vol. 25, no. 4, pp. 485–494, May 2011.