1.Taylor, LH, Latham, SM and Woolhouse, ME (2001) Risk factors for human disease emergence. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 356, 983–989.
2.Jones, KE et al. (2008) Global trends in emerging infectious diseases. Nature 451, 990–993.
3.Ioos, S et al. (2014) Current Zika virus epidemiology and recent epidemics. Médecine Et Maladies Infectieuses 44, 302–307.
4.Cauchemez, S et al. (2016) Association between Zika virus and microcephaly in French Polynesia, 2013-15: a retrospective study. Lancet 387, 2125–2132.
5.de Araújo, TVB et al. (2018) Association between microcephaly, Zika virus infection, and other risk factors in Brazil: final report of a case-control study. The Lancet Infectious Diseases 18, 328–336.
6.Rodriguez-Morales, AJ (2015) Zika: the new arbovirus threat for Latin America. Journal of Infection in Developing Countries 9, 684–685.
7.Ministério da Saúde do Brasil (2014)
8.Rigau-Perez, JG et al. (1998) Dengue and dengue haemorrhagic fever. Lancet 352, 971–977.
9.Ruckert, C et al. (2017) Impact of simultaneous exposure to arboviruses on infection and transmission by Aedes aegypti mosquitoes. Nature Communications 8, 15412.
12.Fletcher-Lartey, SM and Caprarelli, G (2016) Application of GIS technology in public health: successes and challenges. Parasitology 143, 401–415.
13.Cliff, AD et al. (1981) Spatial Diffusion: An Historical Geography of Epidemics in an Island Community. Cambridge: Cambridge University Press, p. 248.
14.Cromley, EK and Mclafferty, SL (2012) GIS and Public Health. New York: The Gilford Press, p. 503.
15.Cliff, AD and Hagget, P (1989) Spatial aspects of epidemic control. Progress in Human Geography 13, 315–347.
16.Murthy, S, Keystone, J and Kissoon, N (2013) Infections of the developing world. Critical Care Clinics 29, 485–507.
19.Programa das Nacoes Unidas para o desenvolvimento, Instituto de Pesquisa Economica Aplicada, Fundacao Joao Pinheiro (2014) . p. 120.
20.Bailey, TC and Gatrell, AC (1995) Interactive Spatial Data Analysis. Harlow: Longman, p. 413.
21.Lee, J et al. (2014) An experiment to model spatial diffusion process with nearest neighbor analysis and regression estimation. International Journal of Applied Geospatial Research 5, 1–15.
22.Lam, NS-N, Fan, M and Liu, K (1996) Spatial-temporal spread of the AIDS epidemic, 1982–1990: a correlogram analysis of four regions of the United States. Geographical Analysis 28, 93–107.
23.Cohen, J and Tita, G (1999) Diffusion in homicide: exploring a general method for detecting spatial diffusion processes. Journal of Quantitative Criminology 15, 451–493.
24.QGIS Development Team, (2009) QGIS Geographic Information System. Open Source Geospatial Foundation Project. doi: http://qgis.osgeo.org.
25.Rossbacher, L (1986) Nearest neighbor analysis: a technique for quantitative evaluation of polygonal ground patterns. Geografiska Annaler 68A, 101–105.
26.Anselin, L (1995) Local indicator of spatial association – LISA. Geographical Analysis 27, 93–115.
27.Anselin, L (2016) .
28.Ministério da Saúde do Brasil (2017) .
29.Metsky, HC et al. (2017) Zika virus evolution and spread in the Americas. Nature 546, 411–415.
30.Passos, SRL et al. (2017) Detection of Zika virus in April 2013 patient samples, Rio de Janeiro, Brazil. Emerging Infectious Disease Journal 23, 2120.
31.Brito, CAAD and Cordeiro, MT (2016) One year after the Zika virus outbreak in Brazil: from hypotheses to evidence. Revista da Sociedade Brasileira de Medicina Tropical 49, 537–543.
32.Teixeira, MG et al. (2015) East/Central/South African genotype Chikungunya virus, Brazil, 2014. Emerging Infectious Disease Journal 21, 906.
33.Silva, MMO et al. (2016) Accuracy of dengue reporting by National Surveillance System, Brazil. Emerging Infectious Diseases 22, 336–339.
34.Grard, G et al. (2014) Zika virus in Gabon (Central Africa) – 2007: a new threat from Aedes albopictus? PLoS Neglected Tropical Diseases 8, e2681.
35.Braga, JU et al. (2017) Accuracy of Zika virus disease case definition during simultaneous Dengue and Chikungunya epidemics. PLoS ONE 12, e0179725.
36.Paixao, ES, Teixeira, MG and Rodrigues, LC (2018) Zika, chikungunya and dengue: the causes and threats of new and re-emerging arboviral diseases. BMJ Global Health 3(suppl. 1), e000530.
37.Farinelli, EC et al. (2018) Low socioeconomic condition and the risk of dengue fever: a direct relationship. Acta tropica 180, 47–57.
38.Netto, EM et al. (2017) High Zika virus seroprevalence in Salvador, Northeastern Brazil limits the potential for further outbreaks. Mbio 8, e01390–17.
39.Barreto, FR et al. (2008) Spread pattern of the first dengue epidemic in the city of Salvador, Brazil. BMC Public Health 8, 51.
40.Melo, MSS et al. (2010) Progression of the dengue virus circulation in the state of Bahia, 1994–2000 [in Portuguese]. Revista da Sociedade Brasileira de Medicina Tropical 43, 139–144.
41.Morato, DG et al. (2015) The spatiotemporal trajectory of a dengue epidemic in a medium-sized city. Memorias do Instituto Oswaldo Cruz 110, 528–533.
42.Saint-Julien, T (2007) The process of spatial diffusion and modeling change. In Sanders, L (ed.), Models in Spatial Analysis. New York: Wiley, pp. 127–158.
43.Gardner, LM et al. (2018) Inferring the risk factors behind the geographical spread and transmission of Zika in the Americas. PLoS Neglected Tropical Diseases 12, e0006194.