AIMC Topic: Disease Outbreaks
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Public concerns about human metapneumovirus: insights from Google search trends, X social networks, and web news mining to enhance public health communication.
BMC public health
Aug 5, 2025
The respiratory virus known as human metapneumovirus (hMPV) is linked to seasonal outbreaks and primarily affects elderly people and young children. Infodemiology, which uses digital data sources, including social media, online news, and search trend...
Oropouche fever outbreak in Brazil: Key factors behind the largest epidemic in history.
PloS one
Jul 28, 2025
Oropouche virus (OROV) is an arthropod-borne virus responsible for outbreaks of Oropouche fever (ORO) in Central and South America since the 1950s. Herein, we investigated the climatic and socioenvironmental factors contributing to the reemergence of...
Predictiveness and drivers of highly pathogenic avian influenza outbreaks in Europe.
Scientific reports
Jul 17, 2025
Avian Influenza (AI) outbreaks are on an increasing trajectory. This disease carries a substantial economic burden, resulting in considerable losses to farmers with profound impacts on economies. As the outbreaks continue in birds and other unusual h...
The role of artificial intelligence for dengue prevention, control, and management: A technical narrative review.
Acta tropica
Jul 12, 2025
Dengue fever remains a significant global health threat, particularly in tropical and subtropical regions, where rapid urbanization and climate variability exacerbate its spread. Traditional surveillance and control systems often struggle with delaye...
Mapping global risk of bat and rodent borne disease outbreaks to anticipate emerging threats.
Scientific reports
Jul 1, 2025
Future epidemics and/or pandemics may likely arise from zoonotic viruses with bat- and rodent-borne pathogens being among the prime candidates. To improve preparedness and prevention strategies, we predicted the global distribution of bat- and rodent...
Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records.
BMC medical research methodology
Apr 16, 2025
BACKGROUND: Methods that enable early outbreak detection represent powerful tools in epidemiological surveillance, allowing adequate planning and timely response to disease surges. Syndromic surveillance data collected from primary healthcare encount...
Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model.
Journal of infection and public health
Apr 10, 2025
BACKGROUND: This study estimates the incidence of seasonal infectious diseases, including influenza, norovirus, severe fever with thrombocytopenia syndrome (SFTS), and tsutsugamushi disease, in the Republic of Korea from 2005 to 2023. It also examine...
Refining early detection of Marburg Virus Disease (MVD) in Rwanda: Leveraging predictive symptom clusters to enhance case definitions.
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Apr 3, 2025
BACKGROUND: Marburg Virus Disease (MVD) poses a significant global health risk due to its high case fatality rates (24%-88%) and the diagnostic challenges posed by its nonspecific early symptoms, which overlap with other febrile illnesses like malari...
Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach.
BMC infectious diseases
Mar 26, 2025
BACKGROUND: Monkeypox, a viral zoonotic disease, is an emerging global health concern, with rising incidence and outbreaks extending beyond its endemic regions in Central and, West Africa and the world. The disease transmits through contact with infe...
Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study.
Journal of theoretical biology
Mar 20, 2025
Cholera, an acute diarrheal disease, is a serious concern in developing and underdeveloped areas. A qualitative understanding of cholera epidemics aims to foresee transmission patterns based on reported data and mechanistic models. The mechanistic mo...
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