Dr. Nanyingi Technology Keynote

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Александр Гальперин

Agassi

When I was a child

Dr. Nanyingi public health economics 2011

Public health is dependent on animal health in rural areas because poor animal health directly affects the human food supply. Veterinary public health entails the diagnosis, surveillance, epidemiology, control, prevention and elimination of Zoonoses. Unsatisfactory implementation of stringent disease control, meat inspectorate and drug dispensation legislations prevents the efficient production of food of animal origin; creating obstacles to international trade in animals and animal products and hence an impediment to overall socioeconomic development

Veterinary Public Health in Khwisero

Each technological age has been marked by a shift in how the industrial platform enables companies to rethink their business processes and create wealth. In the talk I argue that we are limiting our view of what this next industrial/digital age can offer because of how we read, measure and through that perceive the world (how we cherry pick data). Companies are locked in metrics and quantitative measures, data that can fit into a spreadsheet. And by that they see the digital transformation merely as an efficiency tool to the fossil fuel age. But we need to stretch further…

The Outcome Economy

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Real-time monitoring of the gastrointestinal tract in a safe and comfortable manner is valuable for the diagnosis and therapy of many diseases. Within this realm, our review captures the trends in ingestible capsule systems with a focus on hardware and software technologies used for capsule endoscopy and remote patient monitoring. We introduce the structure and functions of the gastrointestinal tract, and the FDA guidelines for ingestible wireless telemetric medical devices. We survey the advanced features incorporated in ingestible capsule systems, such as microrobotics, closed-loop feedback, physiological sensing, nerve stimulation, sampling and delivery, panoramic imaging with adaptive frame rates, and rapid reading software. Examples of experimental and commercialized capsule systems are presented with descriptions of their sensors, devices, and circuits for gastrointestinal health monitoring. We also show the recent research in biocompatible materials and batteries, edible electronics, and alternative energy sources for ingestible capsule systems. The results from clinical studies are discussed for the assessment of key performance indicators related to the safety and effectiveness of ingestible capsule procedures. Lastly, the present challenges and outlook are summarized with respect to the risks to health, clinical testing and approval process, and technology adoption by patients and clinicians.

Video Capsule Endoscopy and Ingestible Electronics: Emerging Trends in Sensor...

Telemedicine, the remote delivery of healthcare services using telecommunications technology, has gained significant prominence in recent years, including its application in clinical research. Telemedicine in clinical research refers to the use of virtual visits, remote monitoring, and telecommunication tools to facilitate participant enrollment, data collection, study assessments, and monitoring in research studies. Here are some key aspects and benefits of telemedicine in clinical research: Participant Recruitment and Access: Telemedicine enables researchers to expand their participant pool beyond geographical limitations. By leveraging telecommunication tools, researchers can reach individuals who may face challenges with physical access to study sites, such as those living in remote areas or individuals with mobility issues. This broader reach enhances participant recruitment and diversity, contributing to the generalizability and representativeness of research findings. Remote Study Visits and Data Collection: Telemedicine allows for remote study visits, eliminating the need for participants to travel to study sites. Through video consultations and remote assessments, researchers can conduct interviews, collect data, perform examinations, and administer questionnaires remotely. This approach reduces participant burden, increases convenience, and enhances compliance by minimizing the time and effort required for in-person visits. Real-Time Monitoring and Data Capture: Telemedicine facilitates the collection of real-time data by remotely monitoring participants' health status and adherence to study protocols. Wearable devices, mobile health applications, and sensors can be used to capture vital signs, medication adherence, activity levels, and other relevant data. Researchers can access and analyze this data in real-time, enabling early detection of adverse events, improving safety monitoring, and enhancing the accuracy and completeness of data collection. Patient Engagement and Retention: Telemedicine enhances patient engagement by providing more frequent interactions with study staff and personalized support. Regular virtual check-ins, educational sessions, and feedback can strengthen the participant-researcher relationship, leading to increased participant satisfaction and retention. Telemedicine also offers flexibility in scheduling visits, reducing missed appointments, and improving overall study adherence. Cost and Time Efficiency: Telemedicine can reduce the overall cost and time associated with conducting clinical research. It eliminates or reduces travel expenses for participants and reduces the need for physical study site infrastructure.

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A radiology report serves as an intermediary between a radiologist and referring clinician for suggesting appropriate treatment to the patients, aimed at better healthcare management. It is essentially a tool that assists radiologists in conveying their input to the patients and clinicians regarding positive or negative findings on a case. The objective of this paper is to discuss and propose Radiology Information & Reporting System (RIRS), highlight challenges governing its implementation and suggest way forwards towards its effective implementation across the public sector tertiary care institutions of Pakistan. In the end, it is concluded that the proposed RIRS would potentially offer enormous benefits in terms of cost savings, reporting accuracy, faster processing and operational efficiency as opposed to the conventionally available manual radiology reporting procedures and systems.

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We introduce the structure and functions of the gastrointestinal tract, and the FDA guidelines for ingestible wireless telemetric medical devices. We survey the advanced features incorporated in ingestible capsule systems, such as microrobotics, closed-loop feedback, physiological sensing, nerve stimulation, sampling and delivery, panoramic imaging with adaptive frame rates, and rapid reading software. Examples of experimental and commercialized capsule systems are presented with descriptions of their sensors, devices, and circuits for gastrointestinal health monitoring. We also show the recent research in biocompatible materials and batteries, edible electronics, and alternative energy sources for ingestible capsule systems. The results from clinical studies are discussed for the assessment of key performance indicators related to the safety and effectiveness of ingestible capsule procedures. Lastly, the present challenges and outlook are summarized with respect to the risks to health, clinical testing and approval process, and technology adoption by patients and clinicians. https://spj.science.org/doi/10.34133/2021/9854040

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By reviewing hardware and software technologies used for capsule endoscopy and remote patient monitoring, this paper examines the up-to-date progress in ingestible capsule systems that offer a safe and comfortable means of tracking the gastrointestinal tract. It goes on to discuss the FDA guidelines for ingestible wireless telemetric medical devices, as well as the advanced features incorporated in the capsule systems such as microrobotics, closed loop feedback, physiological sensing, nerve stimulation, sampling and delivery, adaptive frame rates, and software. It looks into the examples of both experimental and commercialized capsule systems, along with their sensors, devices, and circuits for gastrointestinal health monitoring. Additionally, the paper presents research about biocompatible materials, batteries, edible electronics, and alternative energy sources for ingestible capsule systems. Lastly, it reviews the clinical studies and assesses the performance indicators related to the safety and effectiveness of ingestible capsule procedures. It also outlines the challenges and the future outlook for the risks to health, clinical testing and approval process, and technology adoption.

Wireless Capsule Endoscopy and Rapid Reading - A review of latest technologies

In this review, we focus on the hardware and software technologies used for the purpose of gastrointestinal tract monitoring in a safe and comfortable manner. We review the FDA guidelines for ingestible wireless telemetric medical devices, and the features incorporated in capsule systems such as microrobotics, closed-loop feedback, physiological sensing, nerve stimulation, sampling and delivery, panoramic imaging and rapid reading software. Both experimental and commercialized capsule systems with their sensors, devices, and circuits are discussed. Furthermore, the advances in biocompatible materials and batteries, edible electronics and alternative energy sources for ingestible capsule systems are presented. The clinical studies are reviewed to examine the safety and effectiveness of capsule procedures and the current challenges and outlook are summarized. Dylan Miley*, Leonardo Bertoncello Machado*, Calvin Condo, Albert E. Jergens, Kyoung-Jin Yoon, Santosh Pandey, “Video Capsule Endoscopy and Ingestible Electronics: Emerging Trends in Sensors, Circuits, Materials, Telemetry, Optics, and Rapid Reading Software“, Advanced Devices & Instrumentation, (Science Partner Journal), Volume 2021, Article ID 9854040, 2021. https://spj.science.org/doi/10.34133/2021/9854040?permanently=true https://doi.org/10.34133/2021/9854040

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Economic analysis of malaria burden in kenya

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In Kenya, RVF outbreaks have occurred cyclically in 1996 to 2007. Characterizing RVF vector habitat requirements allows for the identification of areas at risk of viral amplification and transmission. Ecological niche models were developed using records of potential RVF Kenyan vector mosquito species to predict their habitat suitability range and to investigate possible geographical associations with RVF outbreak occurrence in Kenya in 2006 -2007. The contribution of different environmental variables to the niche models was also assessed. Suitable habitats for Culex pipiens, Culex univittatus, Culex quinquefasciatus and Culex zambaensis were widely distributed in the county stretching from the western to the coastal strip while ; Aedes quasiunivittatus, Aedes aegypti were concentrated in Eastern Kenya with occupations in Rift Valley, Central and the coastal areas. High precipitation variables showed the highest predictive power for aedes while length of dry months determined the Culex distribution. It would be important to investigate the contributions of ruminant host population and landscape variables. RVF outbreaks had a significantly higher probability to occur in habitats suitable for both Aedes and Culex species, providing circumstantial evidence that the potential distribution of these two species coincides geographically with the observed distribution of the disease.

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Rift Valley fever (RVF) is a vector-borne, viral, zoonotic disease that threatens human and animal health. In Kenya the geographical distribution is determined by spread of competent transmission vectors. Existing RVF predictive risk maps are devoid of vectors interactions with eco-climatic parameters in emergence of disease. We envisage to develop a vector surveillance system (VSS) by mapping the distribution of potential RVF competent vectors in Kenya; To evaluate the correlation between mosquito distribution and environmental-climatic attributes favoring emergence of RVF and investigate by modeling the climatic, ecological and environmental drivers of RVF outbreaks and develop a risk map for spatial prediction of RVF outbreaks in Kenya. Using a cross-sectional design we classified Kenya into 30 spatial units/districts (15 case, 15 control for RVF) based on historical RVF outbreaks weighted probability indices for endemicity. Entomological and ecological surveillance using GPS mapping and monthly (May 2013- February 2014) trapping of mosquitoes is alternatively done in case and control areas. 2500 mosquitoes have been collected in 15 districts (50% geographical target for each for case and control). Species identified as (Culicines-86%, Anophelines-9.7%, Aedes- 2.6%) with over 65% distribution in RVF endemic areas. We demonstrate the applications of spatial epidemiology using GIS to illustrate RVF risk distribution and propose utilizing a Maximum Entropy (MaxEnt) approach to develop Ecological Niche Models (ENM) for prediction of competent RVF vector distributions in un-sampled areas. Targeting RVF hotspots can minimize the costs of large-scale vector surveillance hence enhancing vaccination and vector control strategies. A replicable VSS database and methods can be used for risk analysis of other vector-borne diseases.

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Rift Valley fever (RVF) is a viral, vector borne zoonosis that has significant threat to livestock health and production and public health in Africa. Recent outbreaks have led to high livestock mortalities and human morbidity and socio economic impacts in Garissa. To assess the level of knowledge of pastoralists to causation and transmission risk factors and describe their attitude and practices in response to RVF outbreaks and management in the context of climate change shocks. To estimate the livelihood losses and burden impacts in Garissa. A population based cross sectional household survey was conducted in March 2012 and March 2013 in four hotspots. A multistage purposive sampling was used to identify 250 participants who included pastoralists, veterinary and medical personnel and livestock traders. KAP evaluation was by questionnaires in depth key informant interviews and focus group discussions. Participatory rural appraisal tools were used to assess the economic significance of the RVF outbreaks, risk factors and management costs. 185 respondents (74%) had good knowledge of RVF (symptoms scored >50%) and risk factor analysis indicated > 150 (60%) understood the consumption of meat of dead or infected animal, milk, touching aborted foetuses caused disease. Estimated lost revenue due to closure of livestock markets and bans was over Ksh.3 billion. Intervention costs and burden of the outbreaks is discussed. There is good knowledge and attitude on RVF risk, transmission and control. It re-emergence is associated with negative impacts on livelihoods and economic endpoints in Garissa.

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Rift Valley Fever (RVF) is an arthropod-borne viral zoonosis with a potential global threat to domestic animals and humans. Climate variability is recognized as one of the major drivers contributing RVF epidemics and epizootics that have been closely linked to cyclic occurrence of the warm phase of the El Niño southern oscillation (ENSO) phenomenon. Using retrospective reanalysis and cross sectional participatory approaches we evaluate the impacts of climate change on pastoral communities and outline their roles in community based early warning systems for RVF. We compare the spatiotemporal correlation of normalized difference vegetation index (NDVI) and Rainfall Estimate Differences as surrogate predictors of RVF outbreaks in Garissa over the past decade. A bivariate regression model to provide a month-ahead lead-time for earlier prediction of RVF is described. We also explore the recent RVF outbreaks linkage to other environmental conditions using long-term sentinel data collected on the field. The results indicate a significant correlation between elevated rainfall and NDVI (> 0.43) anomalies with recent RVF epidemics (P < 0.5). Persistent elevated rainfall and NDVI suggest that there is a likelihood of another RVF outbreak due to enhance vector competence. Given the nearly linear relationship between rainfall and NDVI it is thus possible to utilize these factors to examine and predict spatially and temporally RVF epidemics for effective surveillance with limited resources. This small-scale focal study will contribute to various existing predictive tools and present a good opportunity for preparedness and mitigation of RVF by local, national and international organizations involved in the prevention and control of RVF.

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Interdecadal and interannual climate variability has led to emergence and reemergence of zoonoses in Kenya. We take cognizance of a community based approach in early and timely detection of RVF is vital to veterinary, health authorities and policy-makers in immediate decision making. It contributes to an integrated climate risk assessment of livestock vulnerability analysis using climate dependent RVF model to develop predictive risk maps that will be crucial in current and future control plans of other climate sensitive diseases and possibly provide Early Warning Systems (EWS). The output will contribute to institutional contingency frameworks dealing with concepts and indicators of warning systems which will facilitate the early identification of potential climate sensitive epidemics and decision support systems.

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The Kenyan rural communities face a myriad of challenges including poverty, food security, scarcity of water, and challenges emerging due to global warming and climate change. Notable direct effects include higher temperatures and drastic changes in rainfall patterns, consequently aberrant transmission models, and increased spread of existing vector-borne diseases, emergence and re-emergence of infectious diseases. Major challenges for adaptation interventions in Kenya include insufficient local level historic and future climate change information. Given the complexity of livestock and crop-livestock systems, a mix of technological, policy and institutional innovations will inevitably be required. Here we propose approaches that can be used to develop reliable climate databases and to incorporate these data into predictive risk models. We hypothesize that techniques should be further refined to produce detailed relational databases. The proposed climate system models are to provide insights on climate variability and impacts on livestock, they are designated as problem-solving tools that allow users to process and analyse climate data in a multidisciplinary context. They should be ideal for storage, archiving, display, analysis and interpretation of the localised impacts, and the importance of identifying appropriate options that can help livestock keepers adapt to climate change. However we reckon the overarching issues of shrinking government budgets, curriculum suitability and need for collaboration to expand our knowledge of how climate change and increasing climate variability will affect livestock systems and the livelihoods of the people who depend on them.

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