Dengue is an arbovirus transmitted by mosquitoes of the genus Aedes and is one of the 15 main public health problems in the world, including Colombia. Where limited financial resources create a problem for management, there is a need for the department to prioritize target areas for public health implementation. This study focuses on a spatio-temporal analysis to determine the targeted area to manage the public health problems related to dengue cases. To this end, three phases at three different scales were carried out. First, for the departmental scale, four risk clusters were identified in Cauca (RR ≥ 1.49) using the Poisson model, and three clusters were identified through Getis-Ord Gi* hotspots analysis; among them, Patía municipality presented significantly high incidence rates in the time window (2014–2018). Second, on the municipality scale, altitude and minimum temperature were observed to be more relevant than precipitation; considering posterior means, no spatial autocorrelation for the Markov Chain Monte Carlo was found (Moran test ˂ 1.0), and convergence was reached for b₁–b₁₀₅ with 20,000 iterations. Finally, on the local scale, a clustered pattern was observed for dengue cases distribution (nearest neighbour index, NNI = 0.202819) and the accumulated number of pupae (G = 0.70007). Two neighbourhoods showed higher concentrations of both epidemiological and entomological hotspots. In conclusion, the municipality of Patía is in an operational scenario of a high transmission of dengue.

Identifying probable cutaneous leishmaniasis vectors in a rural area a few kilometres from the city of Villavicencio, taking the relative abundance of sand-flies and their natural infection with Leishmania spphaving into account. A CDC trap was used for sampling sand-flies in and around 15 dwellings. Pools of three females from the most abundant Lutzomyia species were used for identifying Leishmania spp. by PCR, with OL1 and OL2 primers. 1 304 sand-flies from nine species were captured, of which L. antunesi (75,6 %) and L. walkeri (19,2 %) were the most abundant. These was a low abundance of L. panamensis and L. gomezi anthropophilic species (<2,4 %). PCR detected Leishmania spp. infection in two L. antunesi groups (total=123 processed females). Due to the fact that L. antunesi was the most abundant species and was found to have Leishmania infection, it may be considered to be the main suspected cutaneous leishmaniasis vector in the rural area being studied. It is recommended that detailed studies of this species' biology (including biting and resting behaviour) should be carried out, aimed at furthering vector control measures.

Vector-borne diseases are responsible for more than 17% of human cases of infectious diseases. In most situations, effective control of debilitating and deadly vector-bone diseases (VBDs), such as malaria, dengue, chikungunya, yellow fever, Zika and Chagas requires up-to-date, robust and comprehensive information on the presence, diversity, ecology, bionomics and geographic spread of the organisms that carry and transmit the infectious agents. Huge gaps exist in the information related to these vectors, creating an essential need for campaigns to mobilise and share data. The publication of data papers is an effective tool for overcoming this challenge. These peer-reviewed articles provide scholarly credit for researchers whose vital work of assembling and publishing well-described, properly-formatted datasets often fails to receive appropriate recognition. To address this, GigaScience’s sister journal GigaByte partnered with the Global Biodiversity Information Facility (GBIF) to publish a series of data papers, with support from the Special Programme for Research and Training in Tropical Diseases (TDR), hosted by the World Health Organisation (WHO). Here we outline the initial results of this targeted approach to sharing data and describe its importance for controlling VBDs and improving public health.

The following five new species of Culicoides from Colombia are described, illustrated and placed to subgenus or species group: Culicoides antioquiensis, Culicoides gabrieli, Culicoides inermis, Culicoides micayensis and Culicoides nigrifemur. C. gabrieli is also known from Peru. When possible, their position in previously published keys is indicated and their features discussed in light of the most recent revisions. A list of 180 Culicoides species known (114) or suspected of being in Colombia (66) is given in a Table. Of these, 12 including the new species are recorded from Colombia for the first time.

The Culicidae family has two of the most important disease vector genus: Aedes spp. and Culex spp. Both of these are involved in the transmission of arboviruses. Here, we provide novel data for the geographical distribution of 2,383 specimens in the Culicidae family. We also report the percentage of houses infested with these vectors, and Shannon and Simpson diversity indices in three municipalities located in Cauca, Colombia. This dataset is relevant for research on vector-borne diseases because Aedes spp. can transmit arboviruses such as dengue, Zika and chikungunya, and Culex spp. is a well-known vector of West Nile virus and Venezuelan equine encephalitis.