*3.2.2 Climatic data*

The climatic data were obtained from the World Meteorological Organization (WMO) [38], for each municipality of residence where the dengue cases were registered, working with the daily reports of average environmental temperature, maximum and minimum environmental temperature and average monthly rainfall. The climatic data were taken into account for the analysis, 6 days before the onset of symptoms for each case, this was done considering the intrinsic incubation period in order to obtain an approximate date of infection and capture the daily climatic data for each municipality [39]. With respect to the rainfall variable, it was decided to work with the monthly average, since there were days in which there were no records.

## *3.2.3 Non-climatic data*

Other factors related to infection were also considered in the analysis. Data on the population density and altitude of each municipality of residence per observed case were obtained from the INEGI, the other variables such as garbage disposal, contact with the mosquito, drinking water service, patient age, and sex were obtained from the original database of registered dengue cases provided by the secretary of health [37].

## **3.3 Georeferencing**

For the georeferencing of dengue cases registered in the period January–August 2019, the postal code and the world geographic coordinate system, WGS84, were used. With the *pois.krige* function from the *geoRglm* package, in R software version 4*:*0*:*3 [34] and the projection of the cases was carried out on a map of Chiapas.
