Articles tagged with Disease Outbreaks
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.
The Pan American Health Organization reports progress in controlling poliomyelitis, measles outbreaks, and Chagas' disease. The region has also seen a decline in cholera cases, with only 5% of reported cases in 1997 compared to six years earlier.
A study by Penn State economists suggests that climate change could lead to an increase in waterborne diseases like Cryptosporidiosis, which can be fatal among immunocompromised individuals. The researchers estimate that doubling the frequency of 100-year floods could add up to $70 per person in costs.
Researchers aim to detect microorganisms like Cryptosporidium and Giardia before they reach tap water, using pilot-scale treatment systems and advanced detection methods. The study will help evaluate new technologies like dissolved air flotation and microfiltration to ensure public safety.
The report highlights the resurgence of infectious and parasitic diseases, including exotic ones like Ebola and dengue hemorrhagic fever. The authors call for strengthened infection control precautions, rapid diagnostic tests, and improved public education to combat these diseases.