Vegetation Cover and Microspatial Distribution of Sand Flies (Diptera: Psychodidae) in an Endemic Locality for Cutaneous Leishmaniasis in Northern Argentina

Chanampa, Mariana del Milagro; Gleiser, Raquel M.; Hoyos, Carlos Lorenzo; Copa, Griselda Noemí; Mangudo, Carolina; Nasser, Julio R.; Gil, José Fernando

doi:10.1093/jme/tjy129

Cited by 11 publications

(14 citation statements)

References 46 publications

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“…En Argentina, así como en este estudio, se observó que el riesgo se asocia también con el trabajo rural o con la vegetación primaria 32 , el manejo de ganado, la caza, el dormir en espacios abiertos o permanecer en el exterior de la vivienda por más de diez horas, el bañarse en el río, así como la presencia de animales domésticos en el interior del domicilio, las vivienda sin cerramiento 32 - 34 , y la transmisión peridomiciliaria en viviendas hasta los 100 a 200 m de la vegetación primaria o secundaria, incluso en áreas urbanas 35 , 36 por el efecto de borde 37 .…”

Section: Discussionunclassified

“…cortelezzii , Psathromyia bigeniculata , Psa. punctigeniculata y Micropygomyia quinquefer 36 . Nyssomyia neivai es la más abundante en bosques secundarios y ambientes peridomésticos asociados con casos humanos; los ciclos estimados de correlación de abundancia entre los ambientes silvestres y peridomésticos permiten inferir que los primeros funcionan como poblaciones fuente de los segundos y que sus poblaciones pueden extinguirse en momentos climáticos no favorables pero persisten durante los brotes.…”

Section: Discussionunclassified

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Leishmaniasis en Bolivia, revisión y estado actual en Tarija, frontera con Argentina

Mollinedo¹,

Mollinedo

Magne

et al. 2020

biomedica

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Introducción. En 1997, en el departamento de Tarija, Bolivia, situado en la frontera con Argentina, se notificó por primera vez la presencia de pacientes con úlceras en las partes descubiertas de la piel, cuyas características clínicas y epidemiológicas correspondían a leishmaniasis.Objetivo. Describir y comprobar la presencia de leishmaniasis en Tarija, sexto departamento endémico en Bolivia.Materiales y métodos. Se hizo un estudio del brote (noviembre de 1998 a diciembre de 2002) y un estudio longitudinal (1997 a 2018) en humanos; además, se capturaron Phlebotominae y potenciales reservorios.Resultados. Se registraron 1.250 pacientes de leishmaniasis; 190 y 249 casos, en los brotes de 1998 y 2002, respectivamente, con periodos interepidémicos de 37 casos como promedio anual. El 68 % de los enfermos eran pobladores migrantes del altiplano asentados en viviendas precarias cercanas al bosque residual; el sexo predominante fue el masculino (2/1). El grupo etario económicamente activo (15 a 49 años) fue el más afectado (363/584, 62 %). Hubo 124/584 (21 %) menores de 15 años, 33/584 de menos de cuatro años. En 51/584 (8,7 %) pacientes se presentaron lesiones mucosas. Se aisló y caracterizó Leishmania (V.) braziliensis de úlceras mucosas de perros enfermos y se capturó abundantemente la especie antropofílica Nyssomyia neivai, incriminada como probable vector.Conclusiones. En 1997 se comprobó por primera vez la presencia de leishmaniasis tegumentaria en el municipio de Bermejo y, en el 2018, ya se había extendido a cuatro municipios: Padcaya, Caraparí, Entre Ríos y Yacuiba, en dirección noreste del departamento de Tarija.

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Section: Discussionunclassified

Leishmaniasis en Bolivia, revisión y estado actual en Tarija, frontera con Argentina

Mollinedo¹,

Mollinedo

Magne

et al. 2020

biomedica

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“…Sand flies require vegetation through which they can move, forage and reproduce [36]. Hence, vegetation layers were included as potential predictors from USGS.…”

Section: Environmental Data Collection Of Environmental Datamentioning

confidence: 99%

High-resolution habitat suitability model for Phlebotomus pedifer, the vector of cutaneous leishmaniasis in southwestern Ethiopia

et al. 2020

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Background Phlebotomus pedifer is the vector for Leishmania aethiopica causing cutaneous leishmaniasis (CL) in southwestern Ethiopia. Previous research on the transmission dynamics of CL resulted in recommendations for vector control. In order to target these interventions towards affected areas, a comprehensive understanding of the spatial distribution of P. pedifer at high spatial resolution is required. Therefore, this study determined the environmental predictors that facilitate the distribution of P. pedifer and created a map indicating the areas where conditions are suitable for survival of the vector in southwestern Ethiopia with high spatial resolution. Methods Phlebotomus pedifer presence points were collected during two entomological surveys. Climate, vegetation and topographic variables were assembled. Climate variables were interpolated with variables derived from high-resolution digital elevation models to generate topoclimatic layers representing the climate conditions in the highlands. A Maximum Entropy model was run with the presence points, predicting variables and background points, which were selected based on a bias file. Results Phlebotomus pedifer was the only captured Phlebotomus species in the study area and was collected at altitudes ranging between 1685 and 2892 m. Model projections indicated areas with suitable conditions in a ‘belt’ surrounding the high mountain peaks. Model performance was high, with train and test AUC values being 0.93 and 0.90, respectively. A multivariate environmental similarity surface (MESS) analysis showed that the model projection was only slightly extrapolated for some of the variables. The mean annual temperature was the environmental variable, which contributed most to the model predictions (60.0%) followed by the seasonality in rainfall (13.2%). Variables representing steep slopes showed very low importance to model predictions. Conclusions Our findings indicate that the suitable habitats for P. pedifer correspond well with the altitudes at which CL was reported previously, but the predictions are more widely distributed, in contrast with the description of CL to occur in particular foci. Moreover, we confirm that vector distribution is driven by climate factors, suggesting inclusion of topoclimate in sand fly distribution models. Overall, our model provides a map with a high spatial resolution that can be used to target sand fly control measures in southwestern Ethiopia.

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“…Sand ies require vegetation through which they can move, forage and reproduce [37]. Hence, vegetation layers were included as potential predictors from USGS.…”

Section: Geological Surveymentioning

confidence: 99%

High-resolution habitat suitability model for Phlebotomus pedifer, the vector of cutaneous leishmaniasis in southwestern Ethiopia

Pareyn

Rutten

Merdekios

et al. 2020

Preprint

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Background: Phlebotomus pedifer is the vector for Leishmania aethiopica causing cutaneous leishmaniasis (CL) in southwestern Ethiopia. Previous research on the transmission dynamics of CL resulted in recommendations for vector control. In order to target these interventions towards affected areas, a comprehensive understanding of the spatial distribution of P. pedifer at high spatial resolution is required. Therefore, this study determined the environmental predictors that facilitate the distribution of P. pedifer and created a map indicating the areas where conditions are suitable for survival of the vector in southwestern Ethiopia with high spatial resolution.Methods: Phlebotomus pedifer presence points were collected during two entomological surveys. Climate, vegetation and topographic variables were assembled. Climate variables were interpolated with variables derived from high-resolution digital elevation models to generate topoclimatic layers representing the climate conditions in the highlands. A Maximum Entropy model was run with the presence points, predicting variables and background points, which were selected based on a bias file.Results: Phlebotomus pedifer was the only captured Phlebotomus species in the study area and was collected at altitudes ranging between 1685 and 2892 m. Model projections indicated areas with suitable conditions in a ‘belt’ surrounding the high mountain peaks. Model performance was high, with test and train AUC values being 0.93 and 0.90, respectively. A multivariate environmental similarity surface (MESS) analysis showed that the model projection was only slightly extrapolated for some of the variables. The mean annual temperature was the environmental variable, which contributed most to the model predictions (60.0%) followed by the seasonality in rainfall (13.2%). Variables representing steep slopes showed very low importance to model predictions.Conclusions: Our findings indicate that the suitable habitats for P. pedifer correspond well with the altitudes at which CL was reported previously, but the predictions are more widely distributed, in contrast with the description of CL to occur in particular foci. Moreover, we confirm that vector distribution is driven by climate factors, suggesting inclusion of topoclimate in sand fly distribution models. Overall, our model provides a map with a high spatial resolution that can be used to target sand fly control measures in southwestern Ethiopia.

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Vegetation Cover and Microspatial Distribution of Sand Flies (Diptera: Psychodidae) in an Endemic Locality for Cutaneous Leishmaniasis in Northern Argentina

Cited by 11 publications

References 46 publications

Leishmaniasis en Bolivia, revisión y estado actual en Tarija, frontera con Argentina

Leishmaniasis en Bolivia, revisión y estado actual en Tarija, frontera con Argentina

High-resolution habitat suitability model for Phlebotomus pedifer, the vector of cutaneous leishmaniasis in southwestern Ethiopia

High-resolution habitat suitability model for Phlebotomus pedifer, the vector of cutaneous leishmaniasis in southwestern Ethiopia

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