Fig 1.
Dengue fever incidence rates per 100,000 people in Guatemala by municipality for the combined years of 2017 and 2018.
Maps were made in ArcGIS 10.8 using Guatemala shape files available at the Secretariat of Planning and Programming of the Presidency (SEGEPLAN) of Guatemala, available at http://ide.segeplan.gob.gt/descargas.php.
Fig 2.
Elevation in municipalities in Guatemala.
Darker coloration indicates higher elevation in the interior of the country. Maps were made in ArcGIS 10.8 using Guatemala shape files available at http://ide.segeplan.gob.gt/descargas.php.
Fig 3.
Minimum temperature (°C) in each municipality in Guatemala.
Darker red indicates higher minimum annual temperature. Maps were made in ArcGIS 10.8 using Guatemala shape files available as described.
Fig 4.
For each municipality in Guatemala, the percent of population which is Mayan.
Maps were made in ArcGIS 10.8 using Guatemala shape files available at the Secretariat of Planning and Programming of the Presidency (SEGEPLAN) of Guatemala, available at http://ide.segeplan.gob.gt/descargas.php.
Table 1.
Guatemalan municipalities with highest incidence rates of dengue for 2017–2018 / 100,000 residents.
Table 2.
Univariate zero-inflated negative binomial regression models including socioeconomic and environmental variables, and incidence rate ratios of the dengue cases for each municipality (2017–2018).
IRR = Incidence rate ratio, CI = Confidence interval. N = 340 municipalities; * p<0.05.
Table 3.
Socioeconomic variables included in the zero-inflated negative binomial regression model predicting incidence rate ratios of the dengue cases of each municipality in 2017–2018 (N = 340).
IRR = Incidence rate ratio, CI = Confidence interval, OR = Odds Ratio. * p < 0.05.
Table 4.
Zero-inflated negative binomial regression model for environmental variables predicting incidence rate ratios of the dengue cases of each municipality in 2017–2018 (N = 340).
* p < 0.05.
Table 5.
Zero-inflated negative binomial regression model with combined socioeconomic and environmental variables, and incidence rate ratios of the dengue cases for each municipality (2017–2018).
N = 340 municipalities; * p<0.05.
Table 6.
Predicted rates of dengue fever (DF) incidence rate with an increase in temperature of 1–2°C for the three municipalities with the lowest minimum annual temperature, three with the highest minimum temperature, and for the municipality of Guatemala, which contains the capital Guatemala City.