Evidence map›Paper›PMID 31995439›Full record

ArticleHuman vaccines & immunotherapeutics2020

A model of influenza infection and vaccination in children aged under 5 years in Beijing, China.

Yi Zhang, David J Muscatello, Zhidong Cao, Abrar A Chughtai, Valentina Costantino, Daitao Zhang, Peng Yang, Quanyi Wang, C Raina MacIntyre

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. The economic burden of seasonal influenza - China, 2010-2019.Human vaccines & immunotherapeutics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. The development trend of influenza in China from 2010 to 2019.Human vaccines & immunotherapeutics · 2022
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Yi ZhangInstitute for Infectious Diseases and Endemic Diseases Control, Beijing Municipal Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine , Beijing, China.
David J MuscatelloSchool of Public Health and Community Medicine, The University of New South Wales , Sydney, Australia.
Zhidong CaoThe State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences , Beijing, China.
Abrar A ChughtaiSchool of Public Health and Community Medicine, The University of New South Wales , Sydney, Australia.
Valentina CostantinoSchool of Public Health and Community Medicine, The University of New South Wales , Sydney, Australia.
Daitao ZhangInstitute for Infectious Diseases and Endemic Diseases Control, Beijing Municipal Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine , Beijing, China.
Peng YangInstitute for Infectious Diseases and Endemic Diseases Control, Beijing Municipal Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine , Beijing, China.
Quanyi WangInstitute for Infectious Diseases and Endemic Diseases Control, Beijing Municipal Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine , Beijing, China.
C Raina MacIntyreKirby Institute, Faculty of Medicine, The University of New South Wales , Sydney, Australia.
UNSW Sydney · AUBeijing Center for Disease Prevention and Control · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren aged under 5 years are particularly vulnerable to influenza infection. In this study, we aim to estimate the number and incidence of influenza among young children and estimate the impact of childhood vaccination in different scenarios from 2013/14 to 2016/17 seasons.

methodsThe number and incidence rate of influenza infections among children aged under 5 years in Beijing was estimated by scaling up observed surveillance data. Then, we used a susceptible-exposed-infected-recovery (SEIR) model to reproduce the weekly number of influenza infections estimated in Beijing during the study seasons, and to estimate the number and proportion of influenza-attributed medically attended acute respiratory infections (I-MAARI) averted by vaccination in each season. Finally, we evaluated the impact of alternative childhood vaccination programs with different coverage and speed of vaccine distribution.

resultsThe estimated average annual incidence of influenza in children aged under 5 years was 33.9% (95% confidence interval (CI): 27.5%, 47.2%) during the study period. With the actual coverage during the included seasons at around 2.9%, an average of 3.9% (95%CI: 3.5%, 4.4%) I-MAARI was reduced compared to a no-vaccination scenario. Reaching 20%, 40%, 50%, 60%, 80% and 100% vaccine coverage would lead to an overall I-MAARI reduction of 25.3%, 42.7%, 51.9%, 57.0%, 65.3% and 71.2%. At 20% coverage scenario, an average of 28.8% I-MAARI will be prevented if intensive vaccination implemented in 2 months since the vaccine released.

conclusionIn Beijing, the introduction of a program for vaccinating young children, even at relatively low vaccine coverage rates, would considerably reduce I-MAARI, particularly if the vaccines can be quickly delivered.

Indexed as

Influenza, HumanInfluenza VaccinesBeijingChildChild, PreschoolChinaHumansSeasonsVaccinationInfluenza VaccineschildrenChinaInfluenzamodelvaccination

Identifiers

PMID31995439
PMCPMC7482773
OpenAlexW3004092609

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.