Spatial modelling to identify high-risk zones for the transmission of cutaneous leishmaniasis in hyperendemic urban environments: A case study of Mashhad, Iran.

Spatial modelling was employed to identify high-risk zones for the transmission of cutaneous leishmaniasis in hyperendemic urban environments, focusing on Mashhad, Iran. Data analysis from 3033 CL patients (2016-2020) integrated socio-demographic, environmental, and geological factors using negative binomial regression and the technique for order of preference by similarity to ideal solution (TOPSIS) model. Findings indicate that 42.

High frequency of multidrug-resistant gram-negative rods in 2 neonatal intensive care units in the Philippines.

Background: Although hospital-acquired infections appear to be a growing threat to the survival of newborns in the developing world, the epidemiology of this problem remains poorly characterized.

Methods: During a 10-month period, we conducted prospective longitudinal surveillance for colonization and bloodstream infection caused by gram-negative rods among all infants hospitalized in the 2 largest neonatal intensive care units in Manila, the Philippines. We determined antibiotic susceptibilities and calculated adjusted odds ratios for risk factors for bacteremia by means of multivariate logistic regression.