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Table 1.

Descriptive characteristics of animals infected with rabies virus in Thailand, 2017–2018.

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Fig 1.

Spatio-temporal distribution of animal rabies in Thailand, 2017–2018.

(A) the histogram of rabies in 2017 by month, (B) the spatial distribution of rabies in 2017, (C) the spatial clusters of rabies in 2017, (D) the histogram of rabies in 2018 by month, (E) the spatial distribution of rabies in 2018, and (F) the spatial clusters of rabies in 2018. Our base map is retrieved from the Land Development Department, Thailand (http://www.lddservice.org/lddapp/client/#/map).

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Fig 2.

Fitted function plots of the spatial factors used in the prediction of animal rabies distribution in Thailand.

The fitted function plots of 9 variables including (A) rabies occurred in owned sub-district in the past month, (B) rabies occurred in the neighboring sub-district (s) in the past month, (C) the length of the main road, (D) the length of the secondary road, (E) the distance to the border, (F) the density of owned dog population, (G) the density of human population, (H) the density of cattle population, and (I) the month of rabies occurrence.

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Table 2.

Average outputs of the GAMs for the spatial factors for animal rabies occurrences in Thailand, 2017–2018 (100 bootstraps).

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Table 3.

Impact of predictors used in the models.

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Fig 3.

The predictive power of the model and test sets in the whole modeling period.

A. Data from Feb 2017 –Jan 2018 were used for the model set and data from Feb 2018 –Jan 2019 were used for the test set. B. Vice versa.

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Fig 4.

The predictive power of the monthly model and test sets (100 bootstraps).

A. Model set using data from Feb 2017 –Jan 2018, B. Test set using data from Feb 2018 –Jan 2019, C. Model set using data from Feb 2018 –Jan 2019, and D. Test set using data from Feb 2017 –Jan 2018.

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Fig 5.

The predictive maps of rabies risk by months in Feb 2018 –Jan 2019.

The risk was classified into 3 levels including low (predicted value ≤ 0.3), moderate (predicted value > 0.3 and ≤ 0.6), and high (predicted value > 0.6). Our base map is retrieved from the Land Development Department, Thailand (http://www.lddservice.org/lddapp/client/#/map).

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