West Nile virus in the Rio Grande Valley: A seroprevalence study of juvenile dogs

This study used canine sentinel surveillance and collected a sample of adult mosquitoes to investigate the potential impact of West Nile virus (WNV) in human populations in the Rio Grande Valley along the Texas-Mexico border. Samples for this study were collected from juvenile dogs two months to one year of age in animal shelters located in the Rio Grande Valley. The sample was comprised of stray dogs in order to include animals with maximum nighttime exposures to Culex mosquitoes. Serum samples were collected following the 2007 WNV transmission season and were tested for IgG antibodies against WNV. Evidence of antibodies to WNV was found in 35.1% of the sample population consisting of 74 dogs. During this same time period, mosquitoes in Brownsville were trapped and morphologically identified to develop greater understanding of the mosquito populations in the region and to further understand other potential mosquito vectors for disease transmission. The vast majority of mosquitoes living in this area were Aedes albopictus (47.6%), Culex quinquefasciatus (23.7%), and Aedes aegypti (20.1%). This study shows that WNV and the vector responsible for WNV transmission are active in the Rio Grande Valley and pose a threat to the human and animal populations. ^

A community-based assessment of the spatiotemporal distribution of influenza in a U.S.-Mexico border county during the spring 2009 novel H1N1 swine-origin influenza A pandemic

This study retrospectively evaluated the spatial and temporal disease patterns associated with influenza-like illness (ILI), positive rapid influenza antigen detection tests (RIDT), and confirmed H1N1 S-OIV cases reported to the Cameron County Department of Health and Human Services between April 26 and May 13, 2009 using the space-time permutation scan statistic software SaTScan in conjunction with geographical information system (GIS) software ArcGIS 9.3. The rate and age-adjusted relative risk of each influenza measure was calculated and a cluster analysis was conducted to determine the geographic regions with statistically higher incidence of disease. A Poisson distribution model was developed to identify the effect that socioeconomic status, population density, and certain population attributes of a census block-group had on that area's frequency of S-OIV confirmed cases over the entire outbreak. Predominant among the spatiotemporal analyses of ILI, RIDT and S-OIV cases in Cameron County is the consistent pattern of a high concentration of cases along the southern border with Mexico. These findings in conjunction with the slight northward space-time shifts of ILI and RIDT cluster centers highlight the southern border as the primary site for public health interventions. Finally, the community-based multiple regression model revealed that three factors—percentage of the population under age 15, average household size, and the number of high school graduates over age 25—were significantly associated with laboratory-confirmed S-OIV in the Lower Rio Grande Valley. Together, these findings underscore the need for community-based surveillance, improve our understanding of the distribution of the burden of influenza within the community, and have implications for vaccination and community outreach initiatives.^