On the historical account of disastrous landslides in Mexico: the challenge of risk management and disaster prevention

International audienceLandslides disasters in Mexico caused more than 3500 deaths between 1935 and 2006. Such disasters have been mainly associated to intense precipitation events derived from hurricanes, tropical storms and their interactions with cold fronts, although earthquake triggered landslides have also occurred to a lesser extent. The impact of landsliding in Mexico is basically determined by the geomorphic features of mountain ranges and dissected plateaus inhabited by vulnerable communities. The present contribution provides a comprehensive temporal assessment of historical landslide disasters in Mexico. Moreover, it aims at exploring the future directions of risk management and disaster prevention, in order to reduce the impact of landslides on populations as a result of climatic change, urban sprawl, land use change and social vulnerability

Understanding Local Vulnerability in the Rio Grande Valley

Located on the Texas-Mexico border, the Rio Grande Valley is characterized by its geographical susceptibility to hurricanes and floods. With high poverty rates and a majority Hispanic and Latino population, “the Valley” faces multiple challenges; many residents of the area live below federal poverty rates, have low educational attainment, speak little to no English, or are migrants with low social capital. These prevailing conditions have established the Rio Grande Valley as a highly vulnerable region compared to other areas in the United States. This paper aims to bring awareness of these prevalent inequalities existing within the area, and to participate in a larger conversation about vulnerable populations existing within one of the world’s leading countries. In the past, this southmost area of Texas has made front to different Hurricanes and floods, most of which have left much damage to the Rio Grande Valley region and its residents, who in most cases do not have flood insurance and require government assistance to aid their recovery. This research utilizes a cross sectional design, with adult participants eighteen years of age and older. Through a convenience sampling design, interviews are conducted in both English and Spanish to accommodate to the needs of the population within some areas of the Rio Grande Valley, including Hidalgo County. In order to assess possible disaster vulnerability and preparedness, the interview instrument consists of six different categories. Among these categories are sociodemographic characteristics, household and living conditions, flooding experiences, and coping strategies. Data will be analyzed using univariate and multivariate statistical models

A Novel Ultrasound-based Measure of the Liver among Diabetes Mellitus Type II Patients

Diabetes mellitus type II (DM II) or adult onset diabetes is due to the inefficient use of insulin, which affects various organs and tissues. Patients with DM II are at risk of suffering non-alcoholic fatty liver disease (NAFLD) that can later develop into more life threating forms such as hepatomegaly, cirrhosis or liver cancer. Following the logic of the non-inferiority trial test, we aim to establish a more accurate anatomical measure of the right liver lobe (RLL) to facilitate close monitoring of liver size with ultrasound (US). We hypothesize that US is not unacceptably worse than computed tomography (CT) or magnetic resonance imaging (MRI) to accurately and reliably measure the size of the RLL when the measure is taken in the midaxillary line and craniocaudal plane (MAL-CC). Therefore, the objective of this study is to conduct a non-inferiority trial to test our novel MAL-CC measure. To meet this aim, US measure of the RLL was taken from DM II (n=7) and non-DM II (n=5) patients, whom were recruited from 2 endocrinology clinics at SoM-UPR. Preliminary data shows that MAL-CC measure of the RLL from non-DM II patients is 13.99 + 2.53 cm whereas the same measurement among DM II patients is 15.25 + 3.25 cm (Mann-Whitney U test, p= 0.42). It is concluded that there is a non-significant trend for large RLL sizes among DM II patients. Future work aims to increase sample size and to validate our novel measurement with MRI