ReviewEmerging microbes & infections2025
Lessons for medical countermeasure development from unforeseen outbreaks.
Review in Emerging microbes & infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Antibody-Dependent Enhancement in Flavivirus Infections: From Fc Receptor Signaling to Vaccine and Therapeutic Design.Viruses · 2026Review
- Vein-protection-first strategy revolutionizes submental artery perforator flap harvest success: the A-B-C technique and training assessment.BMC oral health · 2026Article
- COVID-19 mRNA vaccines: a prospective outlook from technological innovation to clinical practice.Frontiers in immunology · 2026Review
- Review
- A Flurry of Infectious Disease Modeling Tools During the COVID-19 Pandemic, Considerations for Future Selection.Pathogens (Basel, Switzerland) · 2025Review
- Unveiling the gut-liver axis: the behind-the-scenes "manipulator" of human immune function.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The unanticipated emergence of the COVID-19 pandemic and the rapid spread of the mpox epidemic in 2022 and 2024 brought unforeseen challenges to public health. While distinct in nature, these outbreaks share some similarities and offer valuable insights into responding to novel virus dissemination in vulnerable populations. In light of these two experiences, we aim to discern the prioritization of medical countermeasures (MCM) among antivirals, antibodies, and vaccines. Comparative analysis of MCMs reveals that while antivirals serve essential roles as therapeutic tools, monoclonal antibodies can be used for both prevention and treatment, and vaccines remain of paramount importance for controlling epidemics as mass or targeted prophylaxis. Variability in production processes, administration methods, logistics, and costs distinguish these countermeasures. Vaccines, by inducing long-lasting immunity and ideally promoting herd effects, exhibit substantial advantages over other options. To enhance future pandemic readiness, proactive measures must include ready-to-use vaccine platforms with regulatory approval and manufacturing capacities, as well as prototype vaccines for representative pathogens and preexisting protocols to evaluate their efficacies and side effects. The comparison underscores the challenges of social acceptance and equity, particularly in vaccine production and distribution. As the world faces unknown agents, the three major types of MCMs do not have equal and symmetrical effects in terms of epidemic control. Thus, a vaccine-oriented strategy with a community-centered approach, proves essential for effective pandemic preparedness, encouraging continued innovation in vaccinology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.