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Background: From the beginning of 2020, COVID-19 infection has changed our lives in many aspects and introduced limitations in the way people interact and communicate. In this paper, we are evaluating the effect of non-pharmaceutical interventions (NPI) in limiting the spread of the Severe Acute Respiratory Syndrome Coronavirus 2 pandemic during a wedding ceremony from Irbid, Northern Jordan. Agent-based modeling was used in a real wedding event that occurred at the beginning of the spread of the pandemic in Jordan. Two infected nationals of Jordan, who arrived in Jordan about a week before the event, initiated the spread of the pandemic within the contact community.
Methods: In this work, a strict national NPI that the government implemented is developed by using an abstract model with certain characteristics similar to the Jordanian community. Thus, the Jordanian community is represented in terms of ages, occupations, and population movements. After that, the extent of the impact of the NPI measures on the local community is measured.
Results: We observed the deterioration of the state of society while the epidemic is spreading among individuals in the absence of preventive measures. Also, the results show that the herd immunity case was an epidemic, with a high level of spread among the community with 918 cases during a short interval of time. On the other hand, the preventive measures scenario shows a totally controlled spread with only 74 cases applied on the same interval of time. Furthermore, a convergence in the actual results of the real system with the hypothetical system were detected in the case of applying the strict NPI measures. Finally, strict NPI at the community level following social gatherings seem to be effective measures to control the spread of the COVID- 19 pandemic.
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http://dx.doi.org/10.7717/peerj.11172 | DOI Listing |
Risk Anal
September 2025
US Army Engineer Research and Development Center, Concord, Massachusetts, USA.
The COVID-19 pandemic has exposed critical gaps in our management of systemic risks within complex, interconnected systems. This review examines 10 key areas where artificial intelligence (AI) and data analytics can significantly enhance pandemic preparedness, response, and recovery. Inadequate early warning systems, insufficient real-time data on resource needs, and the limitations of traditional epidemiological models in capturing complex disease dynamics are among the challenges analyzed.
View Article and Find Full Text PDFBMJ Open
September 2025
Microbiology Laboratory, Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Mahosot Hospital, Vientiane, Lao People's Democratic Republic.
Objectives: Globally, the circulation of influenza and other seasonal respiratory viruses changed dramatically during the COVID-19 pandemic. This study aims to determine the trends of acute respiratory infections (ARIs) caused by SARS-CoV-2, influenza A, influenza B and respiratory syncytial viruses (RSVs) in patients presenting to hospitals in the Lao People's Democratic Republic (PDR) (Laos).
Design: Prospective surveillance study.
Int J Infect Dis
September 2025
PandemiX Center of Excellence, Department of Science and Environment, Roskilde University, Denmark.
When a new pandemic virus emerges in a naive population the only control options are Non-Pharmaceutical Interventions, NPI's, until vaccines or effective treatments become available. Here we report on the Danish suppression strategy and use of a combination of NPI's with a notable absence of extremely strict measures (such as stay-at-home orders). Only 7% were infected (serological evidence) in the first year of the pandemic, compared to ∼50% in Lombardy in the first wave alone.
View Article and Find Full Text PDFContemp Clin Trials
September 2025
School of Computer Science, University of Galway, Galway, Ireland.
Osteoporosis is a major bone disease, affecting more than 200 million people globally. Physical exercise is a powerful non-pharmaceutical fracture prevention strategy for people with osteoporosis or those at risk of falls. However, the participation in and adherence to an exercise regimen by older adults is often low due to a lack of motivation, a fear of falling, safety and/or cost.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
Deciding when to enforce or relax non-pharmaceutical interventions (NPIs) based on real-time outbreak surveillance data is a central challenge in infectious disease epidemiology. Reporting delays and infection under-ascertainment, which characterise practical surveillance data, can misinform decision-making, prompting mistimed NPIs that fail to control spread or permitting deleterious epidemic peaks that overload healthcare capacities. To mitigate these risks, recent studies propose more data-insensitive strategies that trigger NPIs at predetermined times or infection thresholds.
View Article and Find Full Text PDF