[1] |
WallerL, GotwayC. Applied Spatial Statistics for Public Health Data. New York, NY: Wiley; 2004. · Zbl 1057.62106 |
[2] |
YuanH, WenT, KungY, et al. Prediction of annual dengue incidence by hydro‐climatic extremes for southern Taiwan. Int J Biometeorol. 2019;63:259‐268. |
[3] |
CliffA, HaggettP, OrdJ, VerseyG. Spatial Diffusion: A Historical Geography of Epidemic in an Island Community. Cambridge, UK: Cambridge University Press; 1981. |
[4] |
KuoF, WenT, SabelC. Characterizing diffusion dynamics of disease clustering: a modified space‐time DBSCAN (MST‐DBSCAN) algorithm. Ann Am Assoc Geogr. 2018;108:1168‐1186. |
[5] |
LinP, KungY, ClaytonM. Spatial scan statistics for detection of multiple clusters with arbitrary shapes. Biometrics. 2016;72:1226‐1234. · Zbl 1390.62288 |
[6] |
KulldorffM. A spatial scan statistic. Commun Stat Theory Methods. 1997;26:1487‐1496. · Zbl 0920.62116 |
[7] |
McCullaghP, NelderJ. Generalized Linear Models. 2nd ed.Cambridge, UK: Chapman & Hall; 1989. · Zbl 0744.62098 |
[8] |
BenjaminiY, HochbergY. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Soc Ser B Stat Methodol. 1995;57:289‐300. · Zbl 0809.62014 |
[9] |
CressieN. Statistics for Spatial Data. 2nd ed.New York, NY: Wiley; 1993. |
[10] |
WangS, WangW, ChangK, et al. Severe dengue fever outbreaks in Taiwan. Am J Trop Med Hyg. 2016;94:193‐197. |
[11] |
LinP, ZhuJ. A heterogeneity measure for cluster identification with application to disease mapping. Biometrics. 2020;76:403‐413. · Zbl 1451.62128 |