Supporting information
S1 Fig  The distribution of four country types classified based on the COVID-19 outbreak across biomes.
Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; type C, countries that had a peak in of the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; and type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population. (TR) tropical rain forest; (TS) tropical seasonal forest/savanna; (TE) temperate rain forest; (SD) subtropical desert; (TD) temperate deciduous forest; (WS) woodland/shrubland; (TG) temperate grassland/desert; (BF) boreal forest; (TU) tundra.
(TIF)
Click here for additional data file.
S2 Fig  Relative importance of explanatory factors in the random forest models explaining the geographical pattern of the cumulative number of COVID-19 cases.
Temp, mean temperature; Prec, mean monthly precipitation; Pop dens, population density; Visitor, relative amount of foreign visitors per population; GDP, gross domestic product per person; BCG, BCG vaccination effect as defined by the first PCA axis summarizing five variables related to BCG vaccination (see the Methods section for details); Malaria, relative malaria incidence; Age, relative proportion of the population aged ≥65 years; First cases, number of days from case onset.
(TIF)
Click here for additional data file.
S3 Fig  Results of additional analyses using the number of conducted COVID-19 tests (sampling effort) as a covariate in the model.
Temp, mean temperature; Prec, mean monthly precipitation; Pop dens, population density; Visitor, relative amount of foreign visitors per population; GDP, gross domestic product per person; BCG, BCG vaccination effect as defined by the first PCA axis summarizing five variables related to BCG vaccination (see the Methods section for details); Malaria, relative malaria incidence; Age, relative proportion of the population aged ≥65 years; First cases, number of days from case onset; Test, number of tests.
(TIF)
Click here for additional data file.
S1 Appendix  List of data sources for the COVID-19 cases numbers.
(DOCX)
Click here for additional data file.
S1 Video  https://youtu.be/ZIDMtbek-48.
(TXT)
Click here for additional data file.
S2 Video  https://youtu.be/KlnpUY51D3k.
(TXT)
Click here for additional data file.
S3 Video  https://youtu.be/UQViOcMFhNk.
(TXT)
Click here for additional data file.
S4 Video  https://youtu.be/3DpjGoTrk-E.
(TXT)
Click here for additional data file.