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Advisor(s)
Abstract(s)
Using a geographic information system (GIS), the relations between a georeferenced
data set of Culex pipiens s.l . collected in Portugal mainland during
seven years (2006-2012) and meteorological and physiographic parameters
are evaluated. This work is one of the results of a long-term surveillance program
of pernicious insects that act as vectors of various diseases; its focus is
on the possibility of prevention that can be achieved with abundance data.
The focus on Culex pipiens is justified by its abundance and its competence
as a vector for numerous health issues. The cumulative distribution of monthly
captures by each meteorological parameter allows to compute thresholds corresponding
to mosquito massive presence related to 90% of the captures. Using
the weather parameters measured in the network of weather stations across
the country, a monthly average of each parameter of interest (temperature, humidity,
etc.) is computed and an interpolation of the results is made to produce
raster maps corresponding to each month. The previously obtained thresholds
are applied to each map, producing spatial masks with the relevant zones
for each parameter. The intersection of the various masks for each month
shows the most densely populated area of Culex, and the ensemble allows us
to observe the evolution of mosquito presence through the critical season,
which is from May to October at these latitudes. In parallel, mosquito abundance
data are related to physiographic parameters. The relative distribution
of female mosquitoes across land cover types in each month allows identifying
which classes and seasons are most relevant. Orthometric altitude related
to the presence of 90% of the catches shows the limits reached by mosquitoes
in each month. The results are applied to the previously obtained climate envelopes, delimiting critical areas where the level of risk of transmission of the
pathogens for which Culex pipiens is a competent vector is high and countermeasures
should be concentrated, allowing its planning, and targeting on a
monthly basis. The described procedure can be used with other relevant vectors
in any region of the world, whenever abundance data is available.
Description
This article belongs to the Special Issue on Environmental Management Information Systems
Keywords
Vector-borne Diseases Transmission Risk Culex pipiens s.l. GIS Global Changes Infecções Sistémicas e Zoonoses
Pedagogical Context
Citation
J Geosci Environ Prot. 2022 Aug 4;10(8):1-8. doi: 10.4236/gep.2022.108001
Publisher
Scientific Research Publishing
