Articles tagged with Disease Outbreaks
A University of South Florida study confirms the dilution effect hypothesis, suggesting biodiversity loss poses a public health threat by causing disease outbreaks. The research found broad evidence that species-rich communities suffer less infectious disease, implying maintaining biodiversity could reduce parasite abundance.
A University of Kent study reveals supplemental feeding improves Mauritius parakeet brood productivity, but increases disease susceptibility. Long-term monitoring highlights the importance of evidence-based conservation strategies.
Researchers use statistical mechanics to model a zombie outbreak, finding that cities fall quickly but less populated areas take weeks to infect. The ideal hideout is the northern Rockies, where survivors can prepare for months before zombies reach.
A new computer model can forecast population-level behavior during disease outbreaks, including panic reactions and misinformation. The model accurately reproduced the population-level behavior that accompanied three disease outbreaks: H1N1 flu and SARS in Hong Kong.
A simple computer model of disease spread reveals that low-long distance jump events slow the spread, while high events lead to rapid spread like with SARS. The study's findings will help epidemiologists understand complex models and also apply to other phenomena such as cancer metastases and rumors.
A new analysis of over 12,000 outbreaks affecting 44 million people worldwide reveals a rising trend in global infectious disease outbreaks, with 65% caused by zoonoses. Despite this increase, the impact of outbreaks is declining on a per capita basis.
A flexible approach to managing disease outbreaks, called adaptive management, allows for real-time updates to contain outbreaks more quickly and efficiently. This approach could lead to significant savings in livestock losses and improved outcomes in cases like foot-and-mouth disease.
A new approach to disease outbreak management proposes using real-time information to adapt interventions, potentially saving up to £20 million in livestock losses. This flexible approach aims to improve outcomes by incorporating scientific discovery with policy making.
A new adaptive management approach could improve outcomes in disease outbreaks by allowing for quick updates to interventions based on real-time information. This flexible approach has been proposed as a way to contain outbreaks more efficiently and effectively, saving lives and millions of dollars.
Researchers applied evolutionary game theory to analyze disease outbreaks, identifying four key outcomes influenced by government response and healthcare provision. The approach has been tested with actual data from the 2009 influenza outbreak and may inform quarantine measures for future pandemics.
Research reveals Ebola's profound effects on gorilla populations, including changes in reproduction, immigration, and social dynamics. Long-term monitoring is necessary to understand disease impacts on wildlife.
Endemic infectious diseases continue to affect millions of individuals in the US, with racial and ethnic minorities disproportionately affected. Emerging vector-borne and zoonotic disease infections are threatening new areas and populations.
A new mathematical theory helps reconstruct outbreak origins with higher confidence and forecasts epidemic-spreading speed. The approach uses effective distances computed from air transportation network traffic intensities to visualize geographic spread of past diseases.
Researchers used a simple questionnaire and existing hospital staff to gather data on diarrheal disease outbreaks in the Chobe District of Botswana. The study found that environmental factors, such as water shortages and dirty water, are important drivers of outbreaks, and can inform immediate action.
A new statistical framework called Pathoscope can accurately discriminate between closely related strains of the same species with little coverage of the pathogenic genome. The method also determines the complete composition of known pathogenic and benign organisms in a biological sample.
A new global surveillance tool detects and monitors public concerns about vaccines, allowing for swift responses to prevent low vaccine uptake and disease outbreaks. The tool analyzes reports from 144 countries, identifying key themes and prioritizing action to promote immunisation.
The Johns Hopkins University Applied Physics Laboratory has developed a novel method called PRedicting Infectious Disease Scalable Model (PRISM) to accurately predict dengue fever outbreaks several weeks before they occur. PRISM extracts relationships between clinical, meteorological, climatic and socio-political data in various regions.
A new research methodology uses network theory to identify outbreaks of unidentified diseases, providing a promising tool for predicting and preventing pandemic diseases. The method analyzed data from 125 outbreak reports and showed distinct patterns for emerging diseases like Nipah virus, allowing for probable diagnoses.
A Cornell University computer model predicts chikungunya outbreaks in NYC during August-September 2013, Atlanta from June-September, and year-round in Miami. The virus is transmitted by Asian tiger mosquitoes, which are rising in numbers due to climate change.
New studies discuss the ecology, drivers, and dynamics of zoonoses, highlighting the need for effective collaboration between experts. While there are concerns about predicting zoonotic pandemics, recent advancements in modeling and technology suggest we may be on the verge of improvement.
A CDC study reveals a significant increase in foodborne disease outbreaks linked to imported foods between 2009 and 2010. Fish and spices were the most common sources of these outbreaks, with nearly half coming from Asia. The study highlights the growing global nature of the US food supply, exposing consumers to new pathogens.
A new global analysis reveals that water-associated infectious disease outbreaks are more likely to occur in areas with growing population density. The research used a massive database of 1,428 water-associated disease outbreaks and found that population density was the greatest risk factor for these outbreaks.
A novel technology called Bio.Diaspora tracks air travel patterns to anticipate global disease spread. This approach could benefit hosts of future mass gatherings by identifying infectious disease outbreaks and prioritizing public health measures.
A growing livestock industry is fueling animal epidemics that threaten food security in developing countries, where people rely on farm animals for their families' survival. The lack of veterinary capacity to track and control outbreaks poses a significant risk to human health, particularly in Africa and Asia.
Researchers conclude that cutting mosquito surveillance would lead to exponential increases in human cases and health costs. A delayed response can result in drastically escalated costs, with some estimates suggesting a 10-fold increase. The study highlights the need for sustained funding of mosquito surveillance programs.
Two new tools, Wildlife Health Event Reporter and Outbreaks Near Me, enable public reporting of sick or dead wild animals to detect wildlife disease outbreaks that may pose a risk to humans. These tools can also provide early warnings of emerging diseases.
Researchers at Rice University are developing a genomic test that can quickly determine whether a disease outbreak is caused by a natural pathogen or one engineered in a lab. By studying how bacteria evolve in the lab, they hope to find common patterns that indicate domestication.
Public health researchers at Tufts University describe cutting-edge methods for addressing obstacles in disease surveillance, enabling earlier detection and improved preparedness. The new tools facilitate the analysis of vast data streams from various sources, including satellite images and social media.
Researchers at Kansas State University developed a predictive model to forecast the spread of foot-and-mouth disease. Their study found that preemptive vaccination is effective in halting the disease's spread when an outbreak is not in its epidemic stage.
Computer modeling reveals that rural residents are more likely to maintain normal social contact during an outbreak, increasing the risk of transmission. Researchers recommend vaccinating key network connectors and prioritizing community awareness campaigns.
University of Adelaide researchers developed a model predicting mosquito population peaks, aiding in disease outbreak prevention by allowing for targeted mosquito control. The study analyzed 15 years of data on Aedes vigilax populations, linking environmental factors to peak timing and magnitude.
Raw milk consumption has been linked to an average of 5.2 outbreaks per year in the US between 1993 and 2006, with pathogens such as Salmonella and E. coli being common culprits. Pasteurization remains the best way to reduce the risk of contamination, with no scientific evidence supporting the claims of raw milk advocates.
A new system called HealthMap has been developed to gather, organize, and disseminate online intelligence on disease outbreaks. This can facilitate early outbreak detection, increase public awareness of disease outbreaks prior to formal recognition.
The proportion of foodborne outbreaks linked to leafy green consumption has substantially increased over the past 35 years, despite a rise in leafy green consumption. Per capita availability of leafy greens was found to be a significant factor in this correlation.
Scientists use NASA satellites to monitor environmental changes, predicting infectious disease outbreaks like Ebola, West Nile virus, and Rift Valley Fever. Malaria surveillance also benefits from this technology, providing public health organizations with increased warning time to respond to outbreaks.
Assistant professor John Drake is studying how West Nile virus differs between urban and rural areas using computer models and data on infected mosquitoes, birds, and humans. The goal is to provide recommendations for improving New York City's mosquito control strategies and early warning systems.
Researchers at Tufts University developed mathematical models to accurately assess seasonality in six diseases, enabling more precise forecasting of outbreaks. The study found that certain diseases peak one month after the temperature peak, likely due to close person-to-person contact and different routes of transmission.
Researchers at the University of Pennsylvania have developed a mathematical formula to assess disease cluster risk, providing an exact probability calculation in under five seconds. The formula was used to investigate two disease clusters, one likely due to chance and the other possibly caused by a common environmental factor.
Researchers developed network models that detect localized outbreaks better and are more resilient to unexpected shifts in healthcare utilization. Retinal gene therapy also improves visual cortex responses to light stimulation, even after prolonged blindness, in congenitally blind patients.
The International Association of National Public Health Institutes (IANPHI) has awarded short- and mid-term technical assistance grants to public health institutes in five nations. The grants aim to support the development of national public health institutes and improve service delivery and decision-making globally.
Researchers found that close living quarters among coral in healthy sections of the Great Barrier Reef facilitate easy infection spread, despite warmer ocean temperatures. Higher temperatures drive disease outbreaks, with a strong connection between white syndrome and coral cover.
Researchers found that snail hosts arriving from Japan led to novel disease outbreaks in North America. Genetic analysis revealed distinct invasion pathways for two cryptic species of trematode parasites, one arriving with the snails and the other historically dispersed by migratory birds.
Outbreaks linked to unpasteurized orange juice have been on the rise since the mid-1990s. Recent research suggests that this type of orange juice can still carry Salmonella bacteria, highlighting the need for consumers to look for pasteurized options.
The Yale Center will assess and improve public health workforce training, develop new continuing education curricula, and collaborate with other CDC-funded centers to increase preparedness resources.
A study found that the virulent C. difficile strain NAP1/027 is responsible for severe outbreaks in hospitals, producing high levels of toxins A and B. The strain was identified in 67% of hospital-acquired cases and 37% of community-acquired cases.
Researchers developed a new method for early disease outbreak detection using electronic health records. The 'space time permutation scan statistic' can detect outbreaks even without geographical information, and has been implemented in the SaTScan software for wider use.
A recent USGS review of scientific literature reveals increased reports of disease outbreaks in turtles, corals, mollusks, mammals, and urchins since 1970. However, no significant trends were detected for seagrasses, decapods, or sharks/rays, with even a decrease in disease reports among fish.
A new method by Jessica Ward and Kevin Lafferty confirms fears of rising distress in threatened populations, revealing a real underlying pattern in nature. Disease trends were found to increase in all groups except seagrasses, decapods, and sharks/rays, while fishes experienced decreased disease reports.
Research by Ostfeld and Holt found that mobile predators like foxes, coyotes, and falcons effectively suppress rodent numbers, reducing disease transmission to humans. In contrast, specialized predators like weasels cause periodic population booms, promoting the spread of rodent-borne pathogens.
Kansas State University professor James Stack presents a paper on the National Plant and Diagnostic Network, which uses diagnostic centers, regional labs, and expert databases to rapidly detect and diagnose potential bio threats in crops and livestock. The network has already been effective in detecting natural outbreaks like BSE and s...
A study by Michigan State University suggests that preserving biodiversity is essential for human health and economic development. The researchers emphasize the importance of finding ways to protect China's vast system of nature reserves while addressing socio-economic challenges.
Researchers develop theoretical models to understand the spatial component of insect outbreaks and predict their spread. By analyzing the Larch budmoth infestation in the European Alps, they confirmed that space-time models accurately predict geographic spread and timing, even with complex dynamics involved.
The Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE) tracks data from military medical facilities in the Washington, D.C. area to detect outbreaks and biological terrorism. The system balances timeliness with data quality to identify clusters of diseases.
Research found that heavy rainfall precedes most waterborne disease outbreaks in the US, with extreme precipitation levels increasing outbreak risk. The study analyzed data from 1948-1994 and found a significant association between precipitation and waterborne disease outbreaks.
A new mathematical model links El Niño cycles to cholera outbreaks, with a consistent 3.7-year frequency in both ENSO events and cholera cases. The study suggests an 11-month time lag between ENSO events and peak cholera incidence, likely due to increased sea-surface temperatures and bacteria-bearing zooplankton.
A pilot program at Sandia National Laboratories aims to close the time gap between disease outbreak identification and terrorist origin. The system will use color-coded maps and database information to quickly characterize and differentiate disease outbreaks from natural occurrences.
A new report highlights the significant threat of emerging infectious diseases in wildlife to both human health and global biodiversity. The study reveals that many diseases have spread from domestic animals to wildlife populations through various means, including globalization, animal trade, and environmental changes.
Scientists are utilizing satellite remote sensing and mathematical modeling to predict and track climate variability and change related to infectious disease outbreaks. Improved forecasting models can help implement proactive programs to prevent or minimize weather-related health problems.
A new report by the Center for Science in the Public Interest (CSPI) reveals significant gaps in food safety surveillance. CSPI calls on CDC to publish a comprehensive list of foodborne-illness outbreaks, citing concerns that public health officials are not being informed about outbreak trends in a timely manner. The report finds that ...
A tracking and outreach program in Rochester increased child immunization rates by 20% for children living in the poorest inner-city neighborhoods. The program successfully brought these children into the healthcare system, addressing barriers such as lack of transportation, education, and financial struggles.