ArticleHuman vaccines & immunotherapeutics2014
The effects of weather conditions on measles incidence in Guangzhou, Southern China.
Article in Human vaccines & immunotherapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The impact of climate change on airborne and droplet-borne diseases and hospital response measures.Frontiers in public health · 2026Pooled it
- A review of the impact of outdoor and indoor environmental factors on human health in China.Environmental science and pollution research international · 2020Pooled it
- Age-stratified epidemiological and clinical predictors of laboratory-confirmed measles among suspected cases in Diyarbakır, Türkiye (2012-2024): a test-negative case-control study.BMC infectious diseases · 2026Article
- Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion: A temporal case study of pertussis in the United States.Infectious Disease Modelling · 2026Article
- Spatiotemporal patterns of climate-sensitive vector-borne diseases in Bangladesh: leveraging machine learning and spatial regression for intervention strategies.BMC medicine · 2026Article
- Epidemiological characteristics and public health responses against measles in the Ottoman empire and the early Turkish Republic.BMC public health · 2026Article
- Spatio-temporal patterns and determinants of measles incidence in Ethiopia between 2018 and 2024.Frontiers in public health · 2026Article
- Bayesian spatial modeling of measles outbreak in Texas, USA.Environmental and ecological statistics · 2026Article
- Spatio-Temporal Modelling and Forecasting of the Prolonged Measles Outbreak in Romania: Insights and Challenges.Healthcare (Basel, Switzerland) · 2025Article
- Modeling the influences of climate conditions on measles transmission in China.Epidemiology and infection · 2025Article
- Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh.PLoS neglected tropical diseases · 2025Article
- Spatio-temporal pattern and associate meteorological factors of airborne diseases in Bangladesh using geospatial mapping and spatial regression model.Health science reports · 2024Article
- Estimation of the relationship between meteorological factors and measles using spatiotemporal Bayesian model in Shandong Province, China.BMC public health · 2023Article
- Dengue, measles, and COVID-19: A threefold challenge to public health security in Pakistan.Ethics, medicine, and public health · 2021Article
- The effects of air pollution and meteorological factors on measles cases in Lanzhou, China.Environmental science and pollution research international · 2020Article
- Effects of extreme meteorological factors on daily mumps cases in Hefei, China, during 2011-2016.Environmental science and pollution research international · 2020Article
- Climate Change and Infectious Diseases: Evidence from Highly Vulnerable Countries.Iranian journal of public health · 2019Article
- The effects of meteorological factors on influenza among children in Guangzhou, China.Influenza and other respiratory viruses · 2019Article
- Epidemiological characteristics and trends of a Nationwide measles outbreak in Mongolia, 2015-2016.BMC public health · 2019Article
- Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects.The Science of the total environment · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFew studies were conducted to examine the effects of weather conditions on the incidence of measles.
methodsWe used a distributed lag nonlinear model (DLNM) to analyze the relationship between meteorological factors and measles incidence in Guangzhou, China.
resultsNonlinear effects of temperature and relative humidity on measles incidence were observed. The relative risk (RR) for the measles incidence associated with the 75th percentile of mean temperature (27.9 °C) relative to the median of mean temperature (24.7 °C) was 1.00 (0.86,1.16) for lags 0-10 days. The RR for the measles incidence associated with the 25th percentile of relative humidity (64%) relative to the median of relative humidity (73%) was 1.36 (1.01,1.82) for lags 0-30 days. The wet effects and dry effects were larger in females than in males. The wet effects were generally increased with ages. Significantly negative effects of cold spells on measles incidence were observed.
conclusionBoth hot and cold temperatures result in decreases in the incidence of measles, and low relative humidity is a risk factor of measles morbidity. An increased number of measles cases might occur before and after a cold spell. Our findings highlight the need to pay more attention to the weather transformation and improve the immunity of susceptible population for measles elimination. Catch-up vaccination campaigns should be initiated among young adults.
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.