Targeted environmental and ecosystem management remain crucial in control of dengue. However, providing detailed information on a large scale to effectively target dengue efforts remains challenge. An important piece such is the extent presence potential vector breeding sites, which consist primarily open containers as ceramic jars, buckets, old tires, flowerpots. In this paper we present design implementation pipeline detect outdoor constitute sites from geotagged images create highly...

Background Thailand is among the top five countries with effective COVID-19 transmission control. This study examines how news of presence in Thailand, as well varying levels government restriction on movement, affected human mobility a rural Thai population along border Myanmar. Methods makes use data collected using smartphone app. Between November 2019 and June 2020, four major events concerning information dissemination or intervention give rise to time intervals analysis. Radius...

Indirect vision through a mirror, while bi-manually manipulating both the mirror and another tool is relatively common way to perform operations in various types of surgery. However, learning such psychomotor skills requires extensive training; they are difficult teach; can be quite costly, for instance, dentistry schools. In order study effectiveness VR simulators these kinds skills, we developed simulator training dental surgery procedures, which supports tracking eye gaze trajectories...

Identification of Aedes aegypti breeding hotspots is essential for the implementation targeted vector control strategies and thus prevention several mosquito-borne diseases worldwide. Training computer vision models on satellite street view imagery in municipality Rio de Janeiro, we analyzed correlation between density common grounds infestation measured by ovitraps a monthly basis 2019 2022. Our findings emphasized significance (p ≤ 0.05) micro-habitat proxies generated through object...

Diseases transmitted by mosquito vectors such as malaria, dengue, and Zika virus are amongst the largest healthcare concerns across globe today. To tackle life-threatening diseases, it is vital to evaluate risk of transmission. Of critical importance in this task estimation vector species populations an area interest. Traditional approaches estimating involve physically collecting samples traps manually classifying species, which highly labor intensive. A promising alternative approach...

Online learning has become an effective approach to reach students who may not be able travel university campuses for various reasons. Its use also dramatically increased during the current COVID-19 pandemic with social distancing and lockdown requirements. But online education thus far been primarily limited teaching of knowledge cognitive skills. There is yet almost no physical clinical skills.In this paper, we present a shared haptic virtual environment dental surgical skill training. The...

Medical schools are increasingly seeking to use objective measures assess surgical skills. This extends even perceptual skills, which particularly important in minimally invasive surgery. Eye tracking provides a promising approach obtaining such metrics of visual perception. In this work, we report on results cadaveric study perception during shoulder arthroscopy. We present model for classifying surgeons into three levels expertise using only eye movements. The achieves classification...

Counting mosquitoes in the wild is a crucial capability for monitoring, prediction, and control of vector-borne diseases. Current approaches are mainly manual, where specially designed mosquito traps or ovitraps placed areas interest recovered next day. The counting itself performed an entomological laboratory, individual classified into species counted. This process costly, slow inefficient. At same time, most relevant tropical sub-tropical countries, spread deadly diseases like malaria,...

Recent years have seen the proliferation of VR-based dental simulators using a wide variety different VR configurations with varying degrees realism. Important aspects distinguishing hardware are 3D stereoscopic rendering and visual alignment user’s hands virtual tools. New often evaluated without analysing impact these simulation aspects. In this paper, we seek to determine hand-tool on teaching effectiveness skill assessment accuracy simulator. We developed bimanual simulator an HMD two...

Dengue is an emerging vector-borne viral disease across the world. The primary dengue mosquito vectors breed in containers with sufficient water and nutrition. Outdoor can be detected from geotagged images using state-of-the-art deep learning methods. In this study, we utilize such container information street view developing a risk mapping model determine added value of including predicting risk. We developed seasonal-spatial models which target variable incidence was explained weather...

With the minute margins of error in endodontic surgery, training manual dexterity and proper instrument handling are crucial components dental curriculum. Important parameters include tool path, angulation, force applied. In this work, we focus on correct application force. This is particularly challenging since amounts used order tenths Newtons, requiring a highly refined tactile sense incorrect can cause irreversible damage. Too great overdrilling or extreme cases perforation tooth. small...

Numerous VR simulators have been developed as a means of addressing limitations the traditional apprenticeship approach to dental surgical skill training. Most existing support intra- and extra-coronal procedures such carries removal. In this paper we address problem automated outcome assessment for endodontic surgery. Outcome is an essential component any system that provides formative feedback, which requires assessing outcome, relating it procedure, communicating in language natural...

Arthroscopic shoulder surgery is an advanced orthopedic surgical procedure, which particularly challenging due to the complex anatomy of shoulder, and tight spaces for navigation, also limits view from arthroscope. In carrying out arthroscopy, ability quickly effectively navigate through joint reach a desired location essential. Novices often experience confusion in trying triangulate information arthroscopy output with background knowledge while orienting navigating instruments. this paper,...

Recent years have seen the proliferation of VR-based dental simulators using a wide variety different VR configurations. Differences in technologies and setups used result important differences degree realism. These include 3D stereoscopic rendering visual alignment user's hands with virtual tools. While each new simulator typically is associated some form evaluation study, only few comparative studies been carried out to determine benefits various simulation aspects. In this paper, we seek...

Dengue is considered one of the most serious global health burdens. The primary vector dengue Aedes aegypti mosquito, which has adapted to human habitats and breeds primarily in artificial containers that can contain water. Control relies on effective mosquito control, for detection mapping potential breeding sites essential. two traditional approaches this have been use satellite images, do not provide sufficient resolution detect a large proportion sites, manual counting, too labor...

Effective teaching of surgical decision making requires providing students with a deep understanding the domain so that they have ability to make decisions in novel situations. This means them thorough causal relations between actions and their possible effects context various states patient as well previous actions. Intelligent tutoring systems teach thus require such knowledge, but there are currently no medical ontologies encompass it. While it is engineer needed by hand, this large...

During arthroscopic surgeries, surgeons are faced with challenges like cognitive re-projection of the 2D screen output into 3D operating site or navigation through highly similar tissue. Training these processes takes much time and effort for young surgeons, but is necessary crucial their education. In this study we want to show how recognize states confusion during an surgery, by looking at eye head movements feeding them a machine learning model. With accuracy over 94% detection speed...