Full text: Proceedings, XXth congress (Part 4)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
  
Some of the C/ippings (A, B, C, D, E, G e H) inserted in re- 
vegetation area presented also some of the higher deforestation 
index (Table 1). The average of total deforested area (4 and 5 
PC2 classes) percentage among these Clippings was 14.35%, 
while the average of the total re-vegetation area percentage 
among them was 12.24%. 
The other Clippings are found in the region where the altitudes 
are higher. In this case the average of the total deforested area 
percentage was 18.67% and the average of the total re- 
vegetation area percentage was 8.60%. D, E and F Clippings 
seem to be associated to a greater deforestation occurred in the 
area where they are found. The same thing probably occurs 
with M, N, O and P Clippings. 
4 — CONCLUSIONS 
The results initially demonstrated that the transmission has not 
occurred only inside the normal flight range of Phlebotominae 
mosquitoes (about 250 meters). The high NDVI indices found 
around the fragments could be indicating that it is necessary to 
have enough green density around the fragments in order to the 
mosquito be able to reach human dwellings, amplifying its 
average flight range. This makes it possible to suggest a 
landscape pattern where the incidence of the disease would be 
related not only to the presence of woods, but also to the 
presence of other kinds of vegetation spread around the 
fragments, as long as it is dense enough. 
The reason why the areas with larger deforestation indices are 
concentrated on Center-East region of Itapira could be linked to 
the fact that a great portion of wood areas had already been 
deforested before 1992 in lower altitudes, remaining the areas 
of restricted access, in higher altitudes, in the Center-East 
region, that is now deforested. It could be possible to assume 
that, if the influence of the vegetation density in the presence of 
the mosquito was to be considered, and the Second 
Deforestation Limit is indicator that there was denser vegetation 
in 1992, the relative areas to this limit also can be directly 
related to the alterations in CL incidence. Therefore, the fact of 
the Clippings sets {D, E, F} and {M, N, O, P} being associated 
to the areas where the biggest rates of the Second Deforestation 
Limit occurred, it seems to indicate a relation between these 
cases and the deforestation. 
PCA analysis showed that in some of the areas where there was 
CL transmission it was possible to relate the deforestation to the 
incidence of the disease. The very high deforestation rates can 
represent the disappearance, from the beginning of the study 
period, of remnants related to the disease. In some areas, it was 
possible to identify deforested remnants that could have 
influenced the appearance of the disease, and which can be 
observed in Central region. In the Clippings of this region (D, 
E, F, M, N), the incidence of the disease could have been 
affected not only as a function of the high indices found for 
Second and First Deforestation Limits, but also due to the fact 
that the relative areas to the Second Deforestation Limit are 
near to the First limit, and near to the fragments of permanent 
woods. Thus, the relative areas of the Second Deforestatiqn 
Limit should be acting as indicators that they would be 
composing, with the First Deforestation Limit areas associated 
to them, a wood area in 1992 which would have been 
deforested (Aparicio 2001). 
According to these analyses, it could be possible to consider 
four possibilities to indicate transmission profile in the studied 
cases: 1) the transmitters became adapted to the domestic 
environment and/or the CL reservoirs may be circulating 
between woods and dwellings; (2) the mosquito is getting the 
houses through sufficiently dense vegetation spread around of 
the wood borders; (3) the remnants that could be considered the 
habitats of the vectors would have been deforested; (4) the 
person who got sick frequented the woods at night when caught 
CL. 
The first possibility seems to be feasible, once it explains the 
cases that were more than 250 meters distant from forest 
remnants, and the cases that the deforestation did not 
collaborate for CL Incidence as well. If the complete 
domestication has not occurred yet, a transitory process, 
suggested by the second possibility, could be occurring. In this 
case, the mosquitoes could be reaching the human dwellings 
since the NDVI values, registered around the remnants, was 
elevated. 
The third hypothesis is also valid for the C/ippings D, E, and N, 
whose distances from houses to the border of the remnants are 
respectively of 276, 340 and 260 meters, and where the 
association with the Second and the First Deforestation Limit is 
observed. Finally, «the last hypothesis seems to be an unviable 
confirmation, since it involves personal information, such as if 
the sick person has been frequented or not in the woods or in its 
proximities during night. 
The analysis carried out indicates that three types of 
transmission may be occurring in that region: (i) an intra-forest 
transmission in areas where a disease focus was found within a 
dispersion radius of the mosquito; (ii) an extra-forest 
transmission probably related to the existence of a high 
percentage of dense vegetation around remnants where the 
mosquito could flight and (iii) transmission in human dwellings. 
possibly caused by a mosquito domestication process, in which 
the CL transmitters could develop its complete cycle in the 
houses neighborhood and where it could be possible to the CL 
reservoir circulate from remnant to house. 
5— REFERENCES 
Aparicio, C., 2001. Utilizacáo de Geoprocessamento e 
Sensoriamento Remoto Orbital para análise espacial de 
paisagem com  incidéncia de  Leishmaniose Tegumentar 
Americana. [MSc. Dissertation]. Sàáo Paulo, Instituto de 
Biociéncias , USP. 
Beck, L.R., Lobitz, B.M., Wood, B.L., 2000. Remote Sensing 
and Human Health: New Sensors and New Opportunities. 
Emerging Infectious Diseases, 6(3):217-226. 
Clarke, KC, McLafferty, S.L., Tempalski, B.J., 1996. On 
Epidemiology and Geographic Information Systems: a Review 
and Discussion of Future Directions. Emerging Infectious 
Diseas, 2(2):85-92. 
Corte, A.A., Nozawa, M.R., Ferreira, M.C., Pignatti, M.G., 
Rangel, O., Lacerra, S.S., 1996. Aspectos Eco-epidemiológicos 
da Leishmaniose Tegumentar Americana no Município de 
Campinas. Cad. Saude Publ., 12(4): 465-472. 
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