ArticleVaccine2017
A systems approach to vaccine decision making.
Article in Vaccine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Efficacy versus coverage: population-level impacts of vaccination schemes.Infectious Disease Modelling · 2027Article
- Adherence to the combined Mediterranean-dietary approaches to stop hypertension diet is shaped by neighborhood socio-economics and food environments.Health & place · 2026Article
- Vaccine value profile for schistosomiasis.Vaccine · 2025Article
- How multi-scale modeling can help examine social determinants of health and resulting disparities.PLoS computational biology · 2025Article
- Article
- Transforming trade for vaccine equity: Policy gaps and barriers.PLOS global public health · 2025Article
- How Systems Mapping Can Be an Important Health Communication Tool.Journal of health communication · 2025Article
- Maternal Immunization Decision-Making Among Pregnant and Lactating People in Kenya: A Qualitative Exploration of Peer Influences on Vaccine Decision-Making for a Future RSV Vaccine.Maternal and child health journal · 2024Article
- A Systems Map of the Challenges of Climate Communication.Journal of health communication · 2024Article
- The potential epidemiologic, clinical, and economic value of a universal coronavirus vaccine: a modelling study.EClinicalMedicine · 2024Article
- The Need for Systems Approaches for Precision Communications in Public Health.Journal of health communication · 2023Article
- A Systems-Based Framework for Immunisation System Design: Six Loops, Three Flows, Two Paradigms.Health systems (Basingstoke, England) · 2023Article
- Determinants of Covid-19 vaccination: Evidence from the US pulse survey.PLOS global public health · 2023Article
- Research gaps and opportunities in precision nutrition: an NIH workshop report.The American journal of clinical nutrition · 2022Article
- Article
- Vaccine and vaccination as a part of human life: In view of COVID-19.Biotechnology journal · 2022Review
- A systems map of the economic considerations for vaccination: Application to hard-to-reach populations.Vaccine · 2021Article
- Designing supply chains to meet the growing need of vaccines: evidence from four countries.Journal of pharmaceutical policy and practice · 2021Article
- COVID-19 Vaccine Decision-making Factors in Racial and Ethnic Minority Communities in Los Angeles, California.JAMA network open · 2021Article
- Advancing sustainable development goals through immunization: a literature review.Globalization and health · 2021Review
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
Abstract
Vaccines reside in a complex multiscale system that includes biological, clinical, behavioral, social, operational, environmental, and economical relationships. Not accounting for these systems when making decisions about vaccines can result in changes that have little effect rather than solutions, lead to unsustainable solutions, miss indirect (e.g., secondary, tertiary, and beyond) effects, cause unintended consequences, and lead to wasted time, effort, and resources. Mathematical and computational modeling can help better understand and address complex systems by representing all or most of the components, relationships, and processes. Such models can serve as "virtual laboratories" to examine how a system operates and test the effects of different changes within the system. Here are ten lessons learned from using computational models to bring more of a systems approach to vaccine decision making: (i) traditional single measure approaches may overlook opportunities; (ii) there is complex interplay among many vaccine, population, and disease characteristics; (iii) accounting for perspective can identify synergies; (iv) the distribution system should not be overlooked; (v) target population choice can have secondary and tertiary effects; (vi) potentially overlooked characteristics can be important; (vii) characteristics of one vaccine can affect other vaccines; (viii) the broader impact of vaccines is complex; (ix) vaccine administration extends beyond the provider level; and (x) the value of vaccines is dynamic.
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.