Daily dataset of precipitation and temperature in the Department of Cauca, Colombia

Blanco, Kevin; Villamizar, Sandra R.; Avila-Diaz, Alvaro; Marceló-Díaz, Catalina; Santamaría, Erika; Lesmes, María Camila

doi:10.1016/j.dib.2023.109542

Cited by 1 publication

(2 citation statements)

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“…However, in the period of higher precipitation (211 mm, March 2021), the tank container explained 37% of the female pupal productivity and, subsequently, the density of adult mosquitoes. This comparison is interesting, considering that the climate of the Patía municipality is bimodal, with peaks in April and November [ 26 ] . Our local analysis (LISA) observed heterogeneous high-high and low-low spatial clusterings for each season, mainly in the Olaya Herrera neighborhood (March and October 2021).…”

Section: Data Validation and Quality Controlmentioning

confidence: 99%

“…Variables como la frecuencia de floreros positivos cuando las precipitaciones alcanzaron sólo 1 mm (octubre 2021), explicaron la densidad de mosquitos adultos sólo en un 15%; mientras que en el periodo de mayor precipitación (211 mm, marzo 2021), el contenedor tanques bajos explicó el 37% de la densidad de mosquitos adultos. Esta comparación resulta de interés teniendo en cuenta que el clima del municipio de Patía presenta un comportamiento bimodal con picos en los meses de abril y noviembre [ 26. ] .…”

Section: Validación De Datos Y Control De Calidadunclassified

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Spatial patterns associated with the distribution of immature stages of Aedes aegypti in three dengue high-risk municipalities of Southwestern Colombia

Sánchez Gutierrez,

Santamaría,

Morales

et al. 2023

Gigabyte

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Aedes aegypti mosquitoes are the main vector of human arbovirosis in tropical and subtropical areas. Their adaptation to urban and rural environments generates infestations inside households. Therefore, entomological surveillance associated with spatio-temporal analysis is an innovative approach for vector control and dengue management. Here, our main aim was to inspect immature pupal stages in households belonging to municipalities at high risk of dengue in Cauca, Colombia, by implementing entomological indices and relating how they influence adult mosquitos’ density. We provide novel data for the geographical distribution of 3,806 immature pupal stages of Ae. aegypti. We also report entomological indices and spatial characterization. Our results suggest that, for Ae. aegypti species, pupal productivity generates high densities of adult mosquitos in neighbouring households, evidencing seasonal behaviour. Our dataset is essential as it provides an innovative strategy for mitigating vector-borne diseases using vector spatial patterns. It also delineates the association between these vector spatial patterns, entomological indicators, and breeding sites in high-risk neighbourhoods.

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Section: Data Validation and Quality Controlmentioning

confidence: 99%

Section: Validación De Datos Y Control De Calidadunclassified