Tick-borne bacterial pathogens (TBBPs) show a worldwide distribution and represent a great impact on public health. The brown dog tick (Rhipicephalus sanguineus) is a vector of several pathogens that affect dogs and sometimes humans as well. In addition, TBBPs represent a diagnostic challenge and imply financial resources and medical treatment for long periods of time. In the present study, R. sanguineus s. l. was identified as the main tick species naturally parasitizing dogs that inhabit. Juárez City, Chihuahua, in the Paso del Norte region, Mexico–US Border, representing 99.8% of the cases. Additionally, an end-point PCR was performed to search for whether pathogens in R. sanguineus s. l. can transmit in DNA extracted from ticks and dog blood samples. This is the first molecular detection of Rickettsia rickettsi infecting domestic dogs in Mexico; however, other pathogens were also identified, such as Ehrlichia canis and Anaplasma platys in both ticks and dog blood samples, while Anaplasma phagocytophilum was identified only in dog blood samples. Moreover, co-detection in tick pools and co-infection in the analyzed dog blood samples could be found. Similarly, this research showed that dogs were found mostly parasitized by adult female ticks, increasing the possibility of transmission of E. canis.

Canine monocytic ehrlichiosis (CME) is the most common tick-borne disease affecting domestic dogs and other wild canids. It has a worldwide distribution and is associated with the presence of the brown dog tick. Few studies have been conducted in Mexico to identify and characterize Ehrlichia canis genetic variability. In the present study, 111 dogs of different sex, breed, and age from three geographic regions in Mexico were included. All of them had a previous history of tick infestation and/or the presence of one or more clinical signs compatible with CME. All dogs were tested by a commercial ELISA and nested PCR assay for the detection of E. canis. In addition, we analyzed the E. canis genetic diversity from the 16S rRNA gene sequences obtained in this study, along with 15 additional sequences described for E. canis in Mexico and obtained from GeneBank. Serological detection by commercial ELISA results showed overall infection rates of 85.58% (95/111), including 73.1% (30/41) in samples from Guerrero state; 75% (15/20) in Morelos; and 100% (50/50) in Chihuahua. On the other hand, molecular detection (nPCR assay) showed 31.5% (35/111) overall infection rate, with 41.4% (17/41) in Guerrero state; 55% (11/20) in Morelos; and 14% (7/50) in Chihuahua. We observed a high 16S rRNA gene sequence conservancy in most of the E. canis isolates in the three geographical areas from Mexico, including those analyzed in this research, suggesting a common geographic origin among isolates.

This systematic integrative review examines methodological frameworks used to evaluate educational technologies in biomedical higher education. We synthesize five complementary approaches frequently reported in the literature: the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), the System Usability Scale (SUS), Technology Readiness Levels (TRL), and the ARCS motivational model. Each framework addresses distinct but interrelated dimensions of evaluation, including technology acceptance and intention to use, perceived usability and user experience, technological maturity and implementation risk, and learner motivation. Drawing on representative studies in e-learning platforms, virtual and extended reality environments, and clinical simulation, we discuss the strengths, limitations, and common pitfalls of applying these models in isolation. Based on this synthesis, we propose a pragmatic, multi-phase evaluation workflow that aligns usability, acceptance, motivation, and technological maturity across different stages of educational technology development and adoption. Finally, we outline exploratory future perspectives on how existing evaluation models might need to evolve to address emerging AI-driven, immersive, and haptic technologies in biomedical education. This abstract was prepared in accordance with PRISMA 2020 for Abstracts, ensuring structured reporting and transparency.

The COVID-19 pandemic highlighted the need for effective disinfection strategies in order to minimize human exposure and reduce the risk of contagion in indoor environments. Ultraviolet-C (UV-C) irradiation has proven to be an effective solution for inactivating a wide range of pathogens. However, traditional fixed UV-C systems suffer from limited coverage and lack operational flexibility. To address these limitations, this paper proposes an augmented reality (AR)-based teleoperation framework for an omnidirectional mobile robot equipped with a UV-C disinfection light. Unlike traditional toolchain integrations, our framework synergizes immersive spatial visualization of a reconstructed environment, operator-guided waypoint-based remote navigation, and real-time interaction with the disinfection payload in a single operational workflow. The system is implemented using a ROSMASTER X3 Plus robotic platform, which generates a three-dimensional representation of the environment through visual simultaneous localization and mapping using RTAB-Map. The result is a 3D map that is imported into the Unity game engine and deployed to a Meta Quest 3 head-mounted display, enabling immersive visualization and interaction. Communication between the AR interface and the robotic system is achieved via the ROS-TCP-Connection, allowing real-time data exchange and remote robot control. Through the AR interface, the operator can navigate the robot within the scanned environment and activate the UV-C light. Experimental validation conducted in a classroom demonstrates the feasibility of the proposed approach and shows measurable reductions in surface microbial load. These results indicate that our system-level integration of AR-assisted teleoperation with mobile UV-C robotics represents a feasible proof-of-concept for flexible, operator-guided disinfection of indoor spaces.

Rodents play a significant role in the transmission of zoonotic diseases; anthropization has increased human contact with these animals, vectors of infectious agents. However, the processes driving parasitism of hosts remains poorly understood. Yersinia pestis, Rickettsia spp., and Francisella tularensis are three infectious agents transmitted to humans through ectoparasites, with rodents serving as the primary reservoirs. To explore the relationship between both intrinsic and extrinsic factors on host pathogen status, we evaluated heteromyid rodents in the Chihuahuan desert (ChD). From December 2022 to May 2023, we sampled 213 rodents at three locations with different anthropization levels. A total of 103 rodent blood samples, 84 organ samples, and 204 collected ectoparasites were analyzed for molecular detection of infectious agents (Y. pestis, Rickettsia spp., and F. tularensis) with PCR. We captured seven species of rodents (Dipodomys ordii, D. merriami, D. spectabilis, Chaetodipus hispidus, Ch. eremicus, Perognathus flavus, and P. flavescens) and identified one tick (Rhipicephalus sanguineus), two fleas (Meringis altipecten and M. dipodomys) and one louse (Fahrenholzia spp.). Molecular analyses yielded positive for Y. pestis, Rickettsia spp., and negative for F. tularensis. We then modelled the pathogen status as a function of intrinsic (body condition and sex) and extrinsic factors (locality, anthropization level, season, sample type, and parasite-infestation status). We found that non-parasite-infested individuals with better body condition have a higher probability of pathogen infection. Furthermore, we observed that blood samples had a higher probability of detecting pathogen-infected individuals, as compared to spleen or liver samples. Our results offer important insights into host–pathogen interactions and the role of body condition in the pathogen status.