Evidence map›Paper›PMID 27102884›Full record

ArticleBMC infectious diseases2016

Association between the incidence of varicella and meteorological conditions in Jinan, Eastern China, 2012-2014.

Yunqing Yang, Xingyi Geng, Xiaoxue Liu, Weiru Wang, Ji Zhang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impact of climate on varicella distribution in Bulgaria (2009-2018).Central European journal of public health · 2024
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
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  11. The effects of air pollution and meteorological factors on measles cases in Lanzhou, China.Environmental science and pollution research international · 2020
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

5 authors.

Yunqing YangFaculty of Public Health, Shandong University, Shandong Province, 250100, P. R. China.
Xingyi GengJinan Center for Disease Control and Prevention, Shandong Province, 250021, P. R. China.
Xiaoxue LiuJinan Center for Disease Control and Prevention, Shandong Province, 250021, P. R. China.
Weiru WangJinan Center for Disease Control and Prevention, Shandong Province, 250021, P. R. China.
Ji ZhangJinan Center for Disease Control and Prevention, Shandong Province, 250021, P. R. China. zhangji1967@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVaricella remains an important public health issue in China. In this study we explored the effect of weather conditions on the incidence of varicella in the temperate city of Jinan, Eastern China during 2012-2014 to inform public health prevention and control measures.

methodsData on reported cases of varicella were obtained from National Notifiable Disease Report System. Meteorological data for the same time period were obtained from the Jinan Meteorological Bureau. A negative binomial regression model was used to assess the relationships between meteorological variables and the incidence of varicella. Given collinearity between average temperature and atmospheric pressure, separate models were constructed: one including average temperature without atmospheric pressure, the other including atmospheric pressure but without average temperature. Both models included relative humidity, wind velocity, rainfall, sunshine, and year as independent variables.

resultsAnnual incidence rates of varicella were 44.47, 53.69, and 46.81 per 100,000 for 2012, 2013, and 2014, respectively. Each increase of 100 Pa (hPa) in atmospheric pressure was estimated to be associated with an increase in weekly incidence of 3.35 % (95 % CI = 2.94-3.67 %), while a 1 °C rise in temperature was associated with a decrease of 3.44 % (95 % CI = -3.73-3.15 %) in the weekly incidence of varicella. Similarly, a 1 % rise in relative humidity corresponded to a decrease of 0.50 % or 1.00 %, a 1 h rise in sunshine corresponded to an increase of 1.10 % or 0.50 %, and a 1 mm rise in rainfall corresponded to an increase of 0.20 % or 0.30 %, in the weekly incidence of varicella cases, depending on the variable considered in the model.

conclusionOur findings show that weather factors have a significant influence on the incidence of varicella. Meteorological conditions should be considered as important predictors of varicella incidence in Jinan, Eastern China.

Indexed as

Atmospheric PressureChickenpoxChinaHumansIncidenceModels, StatisticalRainRegression AnalysisTemperatureWeatherCorrelation analysisMeteorological variablesVaricella

Identifiers

PMID27102884
PMCPMC4840874

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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.