Group items tagged

High quality accessible strategic information (including surveillance, survey and routine monitoring and evaluation and health information data) is needed to monitor and evaluate the impact of PEPFAR programs, and to determine changes in disease prevalence and incidence in both general and high risk populations. While progress has been made in the recent years, weaknesses in the national strategic information supported by the Ministry of Health and the PEPFAR program still remain. This FOA is to build on the work of the previous FOA by providing technical assistance to increase the technical and organizational capacity of the Ministry of Health of (MOH) and other USG implementing partners, in the collection, quality, and validity of data and information systems used for monitoring, planning, and prioritization of the National program to combat HIV/AIDS. Activities listed under this FOA are intended to support the Ministry of Health and National Institute of Health in development of survey and surveillance programs, routine monitoring and evaluation (M&E), and health information systems (HIS) that are needed in the collection of vital statistics including HIV survey and surveillance, mortality statistics, disease modeling and develop demographic estimate projections related to HIV and other diseases. In developing individual and institutional capacity, including support for the development of budgeting and accountancy skills, and SOPs for the implementation of surveys, accountability, oversight skills, and human resource skills will aid in the development of future programs, guidelines, and more efficient utilization of data in national HIV/AIDS program.

The NIEHS is establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits Laboratories (Lab Hubs) providing a comprehensive suite of analysis of environmental exposures in samples such as dust, soil, and drinking water related to the immediate environment of individuals and linked to health endpoints. Each Hub will incorporate a developmental core to develop novel measures for environmental samples, expanding the number of current, commonly measured analytes, and developing new methods for detecting analytes in other environmental samples and providing additional insight into the sources of exposures that influence human health. The Environmental Monitoring Lab will also serve as a 'clearinghouse for evaluation and provision of emerging tools and technologies for personal exposure assessment to the client community.

This announcement solicits applications for the Rapid Response Rural Data Analysis and Issue Specific Rural Research Studies program.  The purpose of this program is to assist rural communities with conducting rapid data analyses and short term issue-specific rural research studies to understand the impact of current and proposed policies and regulations as well as provide information that will improve access to health care and population health in rural America.  Due to the nature of rural policy analysis and formulation, rural organizations and health care providers often require timely information that is available only through specialized analysis of databases of information compiled by the Centers for Medicare and Medicaid Services (CMS), other Federal and State agencies, or private organizations.  Most rural groups and individuals do not have the capacity to store the data sets, the staff expertise to refine and analyze the data nor the technology necessary to run statistical analyses.  Findings from these analyses will be used to help inform rural health care providers and stakeholders such as the U.S. Department of Health and Human Services (HHS), Congress, states, and for-profit and nonprofit entities that set policies impacting rural communities.

The NIEHS and partnering Institutes and Centers are establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits Laboratories (Lab Hubs) that can provide comprehensive measurement of the exposome using untargeted approaches (such as metabolomics using libraries enriched for environmental exposure biomarkers) for biological samples derived from extant or ongoing human health studies in the NIH extramural research community. Each Hub will incorporate an administrative core and a developmental core to improve the ability of untargeted platform to detect a wide range of environmental exposures and endogenous changes in response to environmental influences in a variety of biological matrices.

On behalf of the Governor's Office of Health Transformation (OHT), and the Ohio Departments of Medicaid (ODM), Health (ODH) and Higher Education (ODHE), the Ohio Colleges of Medicine Government Resource Center (GRC) is requesting applications from qualified investigators through the Infant Mortality (IM) Research Partnership to identify interventions and resources needed to improve health outcomes for underserved populations and address the complicated health issue of infant mortality from a systems perspective. The IM Research Partnership seeks to fund multiple research projects in areas including but not limited to: systems dynamics modeling of the impact of the following efforts on infant mortality: improved access to care, safe sleep, and impact of progesterone; predictive modeling for infant mortality; spatial GIS modeling for identifying high-risk communities; and evaluation of the impact of OIMRI home visiting programs.

The NIEHS and partnering Institutes and Centers are establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits the HHEAR Coordinating Center (U24) that will serve as the administrative hub and external access point for HHEAR, managing and tracking the flow of projects, materials, and analyses between HHEAR units and participating investigators. In addition, the coordinating center will support administrative functions such as convening HHEAR Steering and Executive Committee meetings, and organizing education, outreach, and publicity activities.

The National Science Foundation (NSF) through its Divisions of Electrical, Communications and Cyber Systems (ECCS); Chemical, Bioengineering, Environmental and Transport Systems (CBET); Civil, Mechanical and Manufacturing Innovation (CMMI); Information and Intelligent Systems (IIS); and Mathematical Sciences (DMS) announces a solicitation on Multimodal Sensor Systems for Precision Health enabled by Data Harnessing, Artificial Intelligence (AI), and Learning. Next-generation multimodal sensor systems for precision health integrated with AI, machine learning (ML), and mathematical and statistical (MS) methods for learning can be envisioned for harnessing a large volume of diverse data in real time with high accuracy, sensitivity and selectivity, and for building predictive models to enable more precise diagnosis and individualized treatments. It is expected that these multimodal sensor systems will have the potential to identify with high confidence combinations of biomarkers, including kinematic and kinetic indicators associated with specific disease and disability. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts, innovative methodologies, theory, algorithms, and enabling technologies that will address the fundamental scientific issues and technological challenges associated with precision health.

This NOFO will support achievement of national targets for 2018 antiretroviral therapy (ART) scale-up towards the UNAIDS Fast Track Targets in Ukraine. The recipient will implement innovative and effective recruitment and case management models for persons who inject drugs (PWID) and men who have sex with men (MSM) at the community level. These innovative changes will increase uptake of HIV community based testing and increase ART initiation for these populations. The recipient will pilot risk network-based testing using point-of-care recency assays to link recently infected PWID to care. The project will focus on the six regions with the highest HIV burden (Dnipropetrovsk, Mykolayiv, Odesa, government controlled areas (GCA) of Donetsk, Kyiv City, and Kherson) and continue to work in six additional medium burden oblasts (Cherkasy, Poltava, Chernihiv, Zaporizhzhya, Kirovohrad, and Kyiv). The recipient will also increase the capacity of the Government of Ukraine’s Center for Public Health (CPH) and regional monitoring and evaluation (M&E) centers specialists to conduct data analysis using statistical software and build institutional capacity to conduct economic evaluations of HIV interventions. Illustrative strategic information (SI) activities include development of trainings to support the Ministry of Health (MOH) and the newly established CPH in using statistical software, routine analysis of surveillance data, study design, and research protocol development.

ICODA - the International COVID-19 Data Alliance - is partnering with the Bill & Melinda Gates Foundation's Grand Challenges programme to pilot the Grand Challenges ICODA COVID-19 Data Science initiative, supported by the COVID-19 Therapeutics Accelerator. This initiative seeks to support projects that harness the power of health data in a safe and trusted way to respond to the current COVID-19 pandemic and have impact, as well as to enhance global health data responses to health challenges of the future.

AAAS offers fellowships in nine programmatic areas. Specific host offices and assignments vary from year to year. Congressional Diplomacy, Security& Development Energy, Environment & Agriculture Health, Education & Human Services Big Data & Analytics Judicial Branch Roger Revelle Fellowship in Global Stewardship AAAS Overseas Fellowships at USAID Missions (limited eligibility) Global Health & Development Fellowships (limited eligibility)

The purposes of the NCIPC extramural violence prevention research program are to: 1. Build the scientific base for the prevention of violence by helping to expand and advance our understanding of the primary prevention of interpersonal violence. 2. Encourage professionals from a wide spectrum of disciplines of epidemiology, behavioral and social sciences, medicine, biostatistics, public health, health economics, law, and criminal justice to perform research in order to prevent violence more effectively. 3. Encourage investigators to propose research that involves the development and testing of primary prevention strategies, programs and policies designed to prevent interpersonal violence and reduce violence-related outcomes as well as dissemination, implementation, and translation research to enhance the adoption and maintenance of effective strategies among individuals, organizations, or communities.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; or the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to involve the public health research community, including for example, epidemiologists, physicians, veterinarians, food scientists, social scientists, entomologists, pathologists, virologists, or parasitologists with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

The first Health and Human Performance Research (HHPR) Summit is upcoming April 28-30, 2015 in Dayton, Ohio. We are on target to have more than 200 attendees, 75+ posters, and 12 breakout sessions discussing the topics of the summit. More than 75 participants from Federal Research labs will be presenting and participating in the event and it is a great opportunity for our Ohio Academic Institutions to create relationships and understand the objectives of these researchers. As such, we have an interest in ensuring Ohio universities and research institutions are represented in this event to increase the funding which is attracted to our State. We would like to extend an invitation to your institution to participate in the Summit through poster presentations and/or attending the Summit. Designed to provide networking opportunities for researchers and industry to connect through a focus on exploring commercializing opportunities in Science and Technology within the health and human performance domain; the HHPR Summit is also intended to further develop the research relationships with the Air Force Research Laboratory (AFRL) and support the commercialization within Ohio. It is important to us as we look to the strategies we are undertaking as a state to ensure the major universities and research institutions have an opportunity to play a major role in this relationship. Details of the Summit follows: The HHPR Summit is an international meeting supporting human systems research held at the Dayton Convention Center in Dayton, Ohio April 28-30, 2015 with the objective of linking defense and academic research to the commercial domains. The Summit is a forum to generate research knowledge and ideas, recruit and retain key organizations and researchers in the human systems domain, and link research to entrepreneurial outcomes, and diffuse information.

The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Library of Medicine (NLM) at the National Institutes of Health (NIH) plan to support the development of innovative and transformative mathematical and statistical approaches to address important data-driven biomedical and health challenges. The rationale for this interagency collaboration is that significant advances may be expected as the result of continued NSF investments in foundational research in mathematics and statistics as well as inter- and multi-disciplinary research and training at the intersection of the quantitative/computational sciences and domain sciences, while NIH benefits from the enhancement of biomedical data science with new approaches that strengthen the reproducibility of biomedical research and support open science.

The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Library of Medicine (NLM)at the National Institutes of Health (NIH)plan to support the development of innovative and transformative mathematical and statistical approaches to address important data-driven biomedical and health challenges. The rationale for this interagency collaboration is that significant advances may be expected as the result of continued NSF investments in foundational research in mathematics and statistics as well as inter- and multi-disciplinary research and training at the intersection of the quantitative/computational sciences and domain sciences, while NIH benefits from the enhancement of biomedical data science with new approaches that strengthen the reproducibility of biomedical research and support open science.

The purpose of this Notice of Funding Opportunity (NOFO) is to support innovative research to develop and apply computational tools and mathematical methods for: 1) modeling the spread of pathogens that cause healthcare-associated infections (HAIs) and related antimicrobial resistant (AR) infections; 2) predicting outbreaks of HAI pathogens and trends in the burden of antimicrobial resistant and susceptible HAIs; and 3) investigating the effectiveness of intervention strategies. The models should be developed with the intent that they will be tools for researchers, policymakers, or public health workers who want to better understand and respond to HAIs in the United States. This NOFO will also create a network of leaders in the fields of HAI and AR modeling that will be a resource for informing the development of relevant evidence-based policy. MInD-Healthcare will provide a network of leading modelers to respond to evolving public health needs and emergencies in healthcare settings.

The purpose of this Funding Opportunity Announcement (FOA) is to provide opportunities for eligible small business concerns (SBCs) to submit STTR grant applications to develop interactive digital media science, technology, engineering and mathematics (STEM) resources that address student career choice and health and medicine topics for: (1) pre-kindergarten to grade 12 (P-12) students and pre- and in-service teachers ("Teachers") or (2) Informal science education (ISE), i.e., outside the classroom, audiences. Interactive digital media (IDM) are defined as products and services on digital computer-based systems which respond to the user's actions by presenting content such as text, moving image, animation, video, audio, and video games. There is a large body of evidence that IDM technology has the potential to support learning in a variety of contexts from primary and secondary schools, to universities, adult education and workplace training. IDM is widely used to train, educate, and encourage behavioral changes in a virtual world format where progressive learning, feedback on success and user control are combined into an interactive and engaging experience. It is anticipated that this STTR FOA will facilitate the translation of new or existing health and medicine-based, P-12 STEM curricula and museum exhibits into educational Interactive Digital Media STEM (IDM STEM) resources that will provide a hands-on, inquiry-based and learning-by-doing experience for students, teachers and the community.

The Division of Mathematical Sciences in the Directorate for Mathematical and Physical Sciences at the National Science Foundation and the National Institute of General Medical Sciences at the National Institutes of Health plan to support research in mathematics and statistics on questions in the biological and biomedical sciences. Both agencies recognize the need and urgency for promoting research at the interface between the mathematical sciences and the life sciences. This program is designed to encourage new collaborations, as well as to support existing ones.

The Division of Mathematical Sciences in the Directorate for Mathematical and Physical Sciences at the National Science Foundation and the National Institute of General Medical Sciences at the National Institutes of Health plan to support research in mathematics and statistics on questions in the biological and biomedical sciences. Both agencies recognize the need and urgency for promoting research at the interface between the mathematical sciences and the life sciences. This program is designed to encourage new collaborations, as well as to support existing ones.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to develop the appropriate multidisciplinary team, including for example, modelers, bioinformaticians, genomics researchers, social scientists, economists, epidemiologists, entomologists, parasitologists, microbiologists, bacteriologists, virologists, pathologists or veterinarians, with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to develop the appropriate multidisciplinary team, including for example, modelers, bioinformaticians, genomics researchers, social scientists, economists, epidemiologists, entomologists, parasitologists, microbiologists, bacteriologists, virologists, pathologists or veterinarians, with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

Pathway supports innovative basic, clinical, translational, epidemiological, behavioral, or health services research relevant to any diabetes type, diabetes-related disease state, or diabetes complication. The Association seeks exceptional candidates from a broad range of disciplines, including medicine, biology, chemistry, computing, physics, mathematics and engineering.