SynthesisBMC medicine2009
Combination strategies for pandemic influenza response - a systematic review of mathematical modeling studies.
Synthesis in BMC medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 7 of them syntheses that pooled it.
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
49 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Lessons from past pandemics: a systematic review of evidence-based, cost-effective interventions to suppress COVID-19.Systematic reviews · 2022Pooled it
- Effectiveness of workplace social distancing measures in reducing influenza transmission: a systematic review.BMC public health · 2018Pooled it
- Effectiveness of travel restrictions in the rapid containment of human influenza: a systematic review.Bulletin of the World Health Organization · 2014Pooled it
- Public perceptions of non-pharmaceutical interventions for reducing transmission of respiratory infection: systematic review and synthesis of qualitative studies.BMC public health · 2014Pooled it
- A systematic review of studies on forecasting the dynamics of influenza outbreaks.Influenza and other respiratory viruses · 2014Pooled it
- The effects of school closures on influenza outbreaks and pandemics: systematic review of simulation studies.PloS one · 2014Pooled it
- Pooled it
- Article
- Computational decision-support tools for urban design to improve resilience against COVID-19 and other infectious diseases: A systematic review.Progress in planning · 2023Article
- Association between preventive measures against workplace infection and preventive behavior against personal infection.Industrial health · 2022Article
- Reacting to outbreaks at neighboring localities.Journal of theoretical biology · 2021Article
- Public support for air travel restrictions to address COVID-19 or climate change.Transportation research. Part D, Transport and environment · 2021Article
- Optimizing antiviral treatment for seasonal influenza in the USA: a mathematical modeling analysis.BMC medicine · 2021Article
- Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study.BMJ open · 2021Article
- COVID-19 in comparison with other emerging viral diseases: risk of geographic spread via travel.Tropical diseases, travel medicine and vaccines · 2021Review
- Public health emergencies of international concern: a historic overview.Journal of travel medicine · 2020Review
- Travel restrictions and evidence-based decision making for novel epidemics.The Medical journal of Australia · 2020Article
- Article
- Behavioral strategies to prevent and mitigate COVID-19 infection.Sports medicine and health science · 2020Review
- Adoption of personal protective measures by ordinary citizens during the COVID-19 outbreak in Japan.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividual strategies in pandemic preparedness plans may not reduce the impact of an influenza pandemic.
methodsWe searched modeling publications through PubMed and associated references from 1990 to 30 September 2009. Inclusion criteria were modeling papers quantifying the effectiveness of combination strategies, both pharmaceutical and non-pharmaceutical.
resultsNineteen modeling papers on combination strategies were selected. Four studies examined combination strategies on a global scale, 14 on single countries, and one on a small community. Stochastic individual-based modeling was used in nine studies, stochastic meta-population modeling in five, and deterministic compartmental modeling in another five. As part of combination strategies, vaccination was explored in eight studies, antiviral prophylaxis and/or treatment in 16, area or household quarantine in eight, case isolation in six, social distancing measures in 10 and air travel restriction in six studies. Two studies suggested a high probability of successful influenza epicenter containment with combination strategies under favorable conditions. During a pandemic, combination strategies delayed spread, reduced overall number of cases, and delayed and reduced peak attack rate more than individual strategies. Combination strategies remained effective at high reproductive numbers compared with single strategy. Global cooperative strategies, including redistribution of antiviral drugs, were effective in reducing the global impact and attack rates of pandemic influenza.
conclusionCombination strategies increase the effectiveness of individual strategies. They include pharmaceutical (antiviral agents, antibiotics and vaccines) and non-pharmaceutical interventions (case isolation, quarantine, personal hygiene measures, social distancing and travel restriction). Local epidemiological and modeling studies are needed to validate efficacy and feasibility.
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.