Lutzomyia longipalpis Presence and Abundance Distribution at Different Micro-spatial Scales in an Urban Scenario.
The principal objective of this study was to assess a modeling approach to Lu. longipalpis distribution in an urban scenario, discriminating micro-scale landscape variables at microhabitat and macrohabitat scales and the presence from the abundance of the vector. For this objective, we studied vectors and domestic reservoirs and evaluated different environmental variables simultaneously, so we constructed a set of 13 models to account for micro-habitats, macro-habitats and mixed-habitats. We captured a total of 853 sandflies, of which 98.35% were Lu. longipalpis. We sampled a total of 197 dogs; 177 of which were associated with households where insects were sampled. Positive rK39 dogs represented 16.75% of the total, of which 47% were asymptomatic. Distance to the border of the city and high to medium density vegetation cover ended to be the explanatory variables, all positive, for the presence of sandflies in the city. All variables in the abundance model ended to be explanatory, trees around the trap, distance to the stream and its quadratic, being the last one the only one with negative coefficient indicating that the maximum abundance was associated with medium values of distance to the stream. The spatial distribution of dogs infected with L. infantum showed a heterogeneous pattern throughout the city; however, we could not confirm an association of the distribution with the variables assessed. In relation to Lu. longipalpis distribution, the strategy to discriminate the micro-spatial scales at which the environmental variables were recorded allowed us to associate presence with macrohabitat variables and abundance with microhabitat and macrohabitat variables. Based on the variables associated with Lu. longipalpis, the model will be validated in other cities and environmental surveillance, and control interventions will be proposed and evaluated in the microscale level and integrated with socio-cultural approaches and programmatic and village (mesoscale) strategies.
Centro Nacional de Investigación en Endemo-epidemias (CeNDIE), ANLIS, Ministerio de Salud de la Nación, Buenos Aires, Argentina; Comité Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministerio de Ciencia, Tecnología e Innovación Productiva, Buenos Aires, Argentina; Leishmaniasis Investigation Network of Argentina (ReDILA).
María Soledad
MS
Santini
Leishmaniasis Investigation Network of Argentina (ReDILA); Instituto Nacional de Medicina Tropical (INMeT), Ministerio de Salud de la Nación, Puerto Iguazú, Misiones, Argentina.
María Eugenia
ME
Utgés
Comité Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministerio de Ciencia, Tecnología e Innovación Productiva, Buenos Aires, Argentina; Leishmaniasis Investigation Network of Argentina (ReDILA); Instituto Nacional de Medicina Tropical (INMeT), Ministerio de Salud de la Nación, Puerto Iguazú, Misiones, Argentina.
Pablo
P
Berrozpe
Leishmaniasis Investigation Network of Argentina (ReDILA); Instituto Nacional de Medicina Tropical (INMeT), Ministerio de Salud de la Nación, Puerto Iguazú, Misiones, Argentina.
Mariana
M
Manteca Acosta
Leishmaniasis Investigation Network of Argentina (ReDILA); Programa Nacional de Control de Enfermedades Zoonóticas (ProNCEZ), Ministerio de Salud de la Nación, Buenos Aires, Argentina.
Natalia
N
Casas
Laboratorio de Control de Vectores Entomológicos de Importancia Sanitaria (LaCVEIS) Fundación H. A. Barceló, sede Santo Tomé, Corrientes, Argentina.
Paola
P
Heuer
Comité Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministerio de Ciencia, Tecnología e Innovación Productiva, Buenos Aires, Argentina; Leishmaniasis Investigation Network of Argentina (ReDILA); Instituto Nacional de Medicina Tropical (INMeT), Ministerio de Salud de la Nación, Puerto Iguazú, Misiones, Argentina.
O Daniel
OD
Salomón
D063147:Animal Distribution / Q000502:physiology*; D000818:Animals; D001118:Argentina / Q000453:epidemiology; D002947:Cities; D004283:Dog Diseases / Q000453:epidemiology / Q000469:parasitology / Q000635:transmission; D004285:Dogs; D017753:Ecosystem; D005260:Female; D007303:Insect Vectors / Q000502:physiology*; D007898:Leishmaniasis, Visceral / Q000453:epidemiology / Q000635:transmission / Q000662:veterinary; D008297:Male; D008954:Models, Biological; D011156:Population Density; D011576:Psychodidae / Q000502:physiology*; D063809:Satellite Imagery; D062206:Spatial Analysis; D013045:Species Specificity