2005
DOI: 10.1093/jmedent/42.6.1068
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Fine-Scale Predictions of Distributions of Chagas Disease Vectors in the State of Guanajuato, Mexico

Abstract: One of the most daunting challenges for Chagas disease surveillance and control in Mexico is the lack of community level data on vector distributions. Although many states now have assembled representative domestic triatomine collections, only two triatomine specimens had been collected and reported previously from the state of Guanajuato. Field personnel from the stateÕs Secretarṍa de Salud conducted health promotion activities in 43 of the 46 counties in the state and received donations of a total of 2,522 t… Show more

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Cited by 40 publications
(27 citation statements)
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“…Chagas disease is controlled by using insecticides and improvements in housing, but such publicly organized programs do not exist in the United States, partly due to lack of information regarding human cases, vector-parasite incidence, and reservoirs of the disease. Studies that can provide baseline data for addressing these critical concerns should combine field work, molecular analysis (e.g., examining blood meals of triatomines) and ecological modeling techniques to assess the potential for Chagas disease at a fine-geographic scale (e.g., areas at most risk for Chagas disease; see [38]) are encouraged. Findings from that work can be used to advise health program managers in their efforts to control or prevent transmission of Chagas disease effectively and provide a cost-effective method of predicting locations of high transmission risk of this disease, particularly in light of the economic burden that Chagas disease might represent (similar or higher than other diseases such as rotavirus, cervical cancer, or Lyme disease [39]).…”
Section: Discussionmentioning
confidence: 99%
“…Chagas disease is controlled by using insecticides and improvements in housing, but such publicly organized programs do not exist in the United States, partly due to lack of information regarding human cases, vector-parasite incidence, and reservoirs of the disease. Studies that can provide baseline data for addressing these critical concerns should combine field work, molecular analysis (e.g., examining blood meals of triatomines) and ecological modeling techniques to assess the potential for Chagas disease at a fine-geographic scale (e.g., areas at most risk for Chagas disease; see [38]) are encouraged. Findings from that work can be used to advise health program managers in their efforts to control or prevent transmission of Chagas disease effectively and provide a cost-effective method of predicting locations of high transmission risk of this disease, particularly in light of the economic burden that Chagas disease might represent (similar or higher than other diseases such as rotavirus, cervical cancer, or Lyme disease [39]).…”
Section: Discussionmentioning
confidence: 99%
“…the growth of transportation networks and inter-locality human movement or migration) [85], [86]. Since NCA triatomines are both sylvatic and synanthropic [12], [59], [87], [88], they are prone to suffer involuntary translocations due to human migration. A well-documented case of this dispersal process was the Central American and southern Mexico invasion of Rhodnius prolixus [89].…”
Section: Discussionmentioning
confidence: 99%
“…This species succeeded in sub-tropical forest areas in southern Mexico and CA, although it was never collected in conserved habitats, possibly because niche conservatism prevented the species from establishing outside its ecological requirements. Recent distribution shifts for NCA triatomines have been recorded based on extra-range collections for T. dimidiata and sylvatic T. nitida and T. mazzottii [59], [88], [90]. The latter two records are inside the ecological range of each species, as predicted using niche conservatism analysis, but outside reported distribution areas.…”
Section: Discussionmentioning
confidence: 99%
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“…Wood (1938) described the northward range expansion of T. protracta in California, but since that time, research on the triatomine's range has been limited in the United States with the exception of modeling the species' range in parts of Texas Beard et al, 2003). Modeling efforts have mapped the triatomine range in much of Latin America (Abad-Franch et al, 2001;Costa et al, 2002;Peterson et al, 2002;Guzman-Tapia et al, 2005;López-Cárdenas et al, 2005;Bustamante et al, 2007). In particular, Peterson et al (2002) applied the genetic algorithm for rule-set prediction (GARP) model to the T. gerstaeckeri species' range in Mexico to evaluate the environmental characteristics under which the disease agent and vector thrive.…”
Section: Triatomine Biogeographymentioning
confidence: 99%