Articles tagged with Disease Outbreaks
A new method pinpoints critical information needed to improve management decisions during a disease outbreak. The approach provides two important pieces of information: the best course of action and highlighted gaps in knowledge that matter for intervention strategies.
The study modeled how rising temperatures influence mosquito behavior and disease risk worldwide. Mosquito traits favorable to spreading disease peaked at 29 degrees Celsius, but were lower when temperatures were cooler or warmer.
Researchers from the University of Edinburgh found that disease spread varies depending on age at exposure and maternal age. Younger offspring were more susceptible to infection when mothers were younger, contradicting expectations that disease spreads in dense populations.
Researchers at Georgia Tech used game theory to study individual behavior during influenza outbreaks and found that empathy of infected persons is key to eradicating the illness. Healthy individuals' attempts to protect themselves cannot stop the disease from spreading.
New analysis suggests US is unlikely to experience large-scale Zika outbreak due to access to clean water and air conditioning. However, localized outbreaks remain a concern, particularly in southern states with lower socioeconomic conditions.
Researchers found that more than a quarter of chikungunya cases were spread within households and half occurred in homes less than 200 meters away. Women are 1.5 times more likely to develop the disease due to increased time spent at home, making them at higher risk of infection.
A new study from the University of Georgia finds that the delay between a disease outbreak's possibility and its occurrence depends on infection frequency and disease transmission rate. The findings provide key insights into drivers of outbreaks and offer an estimate of likely delay times, aiming to improve public health preparedness.
A recent study by the University of Liverpool has found that a potentially fatal tick-borne disease called canine babesiosis in the UK appears to be under control. The study analyzed data from 2015 and found a low background level of Babesia infection in the UK, with most cases linked to overseas travel.
Researchers reviewing Zika's history highlight the need for better understanding of global spread and sustainable control strategies. Most people infected with Zika show no symptoms or minor ones like rashes, but prevention methods like mosquito spraying are crucial.
A new study from UTSA professor Mark Eppinger describes innovative strategies to track disease-causing pathogens like E. coli, featuring whole genome sequence typing of outbreak strains. By analyzing subtle traits among outbreaks, researchers can pinpoint the origin and severity of an outbreak.
A University of Michigan-led study analyzing Google Trends data found a significant reduction in chickenpox searches following vaccination implementation in countries like Germany. The study demonstrates the effectiveness of immunization in reducing seasonal outbreaks and offers a novel way to track global childhood disease burdens.
The study found that monotherapy with favipiravir is unlikely to be effective in patients with very high viremia, but may offer benefits in those with lower viremia. The trial also highlighted the importance of adapting research protocols for emergency situations and integrated research into care.
The use of residual disinfectants in drinking water has been compared between Western European countries, the U.S., and waterborne outbreak data. The Netherlands has the lowest risk of waterborne disease despite no residual disinfectant use due to newer pipe infrastructure.
Two new studies by Cornell University researchers link warming ocean temperatures to increased disease outbreaks in marine organisms, including lobsters and sea stars. The findings highlight the need for advanced warning systems to prevent disease outbreaks and protect economically important species.
Researchers at Colorado State University are developing a multiplayer game to plan for disease outbreaks. The game uses powerful software to predict and analyze the severity of an outbreak, providing real-time visualizations such as heat maps of potential danger zones.
Researchers at Colorado State University found that plague in prairie dogs can provide key insights into the study of rare infectious diseases like Ebola. The disease's spread is influenced by ecological factors, including temperature and population dynamics.
A recent study reveals that animal-borne diseases can persist in wider populations through repeated dispersal, leading to slower but more insidious transmission. This 'slow, smoldering' approach challenges traditional assumptions about disease outbreaks.
A £2M BBSRC-Newton Fund project aims to develop and apply new molecular biology techniques to reduce the impact of major aquaculture diseases. The project will help early warning systems for disease outbreaks in low-income countries, improving the livelihoods of small-scale farmers.
Researchers at UGA found that harmful bacteria like salmonella can survive in dry foods for six months or longer, including cookie and cracker sandwiches. The study highlights the need to test all ingredients used in these foods to prevent contamination and outbreaks.
Researchers found strong associations between bacterial lineages and age groups, highlighting the importance of targeted interventions to improve vaccine effectiveness. Genome analysis revealed 20 families of Neisseria meningitidis, with three dominant lineages causing 59% of cases over a 20-year period.
Recent developments in surveillance technology could enable a swifter response to potentially deadly outbreaks of disease. A team of infectious disease experts found that shortcomings in the global response to Ebola highlight the need for state-of-the-art techniques to detect and monitor outbreaks.
Researchers mapped social vulnerability at the district level, identifying three clusters of most vulnerable districts containing over 1 million people. The study highlights the importance of addressing water quality, food insecurity, and access to medical care to prevent Ebola infections and deaths.
A model investigates optimal vaccination strategies to minimize cholera-related mortality and costs, considering seasonality in pathogen transmission. The study finds that effective vaccination can significantly reduce disease spread and associated expenses.
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 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.
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.
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.