ArticleEpidemiology and infection2014
Seasonality of reported tuberculosis cases from 2006 to 2010 in Wuhan, China.
Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Tuberculosis outbreaks among students in mainland China: a systematic review and meta-analysis.BMC infectious diseases · 2019Pooled it
- Drivers of Seasonal Variation in Tuberculosis Incidence: Insights from a Systematic Review and Mathematical Model.Epidemiology (Cambridge, Mass.) · 2018Pooled it
- Tuberculosis Trends in the Post-COVID-19 Era: Is It Going to be a Global Concern?Health science reports · 2025Article
- Unmasking the hidden impact of viruses on tuberculosis risk.Trends in immunology · 2024Review
- Temporal disruption in tuberculosis incidence patterns during COVID-19: a time series analysis in China.PeerJ · 2024Article
- Spatio-temporal distribution of tuberculosis and the effects of environmental factors in China.BMC infectious diseases · 2022Article
- Association of long-term exposure to ambient air pollution with the number of tuberculosis cases notified: a time-series study in Hong Kong.Environmental science and pollution research international · 2022Article
- Epidemic and pandemic viral infections: impact on tuberculosis and the lung: A consensus by the World Association for Infectious Diseases and Immunological Disorders (WAidid), Global Tuberculosis Network (GTN), and members of the European Society of Clinical Microbiology and Infectious Diseases Study Group for Mycobacterial Infections (ESGMYC).The European respiratory journal · 2020Review
- Seasonal variation in notified tuberculosis cases from 2014 to 2018 in eastern China.The Journal of international medical research · 2020Article
- A time-trend ecological study for identifying flood-sensitive infectious diseases in Guangxi, China from 2005 to 2012.Environmental research · 2019Article
- Times series analysis of age-specific tuberculosis at a rapid developing region in China, 2011-2016.Scientific reports · 2018Article
- The Wonder Years: What Can Primary School Children Teach Us About Immunity toFrontiers in immunology · 2018Review
- Seasonality and trend analysis of tuberculosis in Lahore, Pakistan from 2006 to 2013.Journal of epidemiology and global health · 2015Article
- Time series analysis of reported cases of hand, foot, and mouth disease from 2010 to 2013 in Wuhan, China.BMC infectious diseases · 2015Article
- The role of temperature in reported chickenpox cases from 2000 to 2011 in Japan.Epidemiology and infection · 2015Article
- Seasonal variation of newly notified pulmonary tuberculosis cases from 2004 to 2013 in Wuhan, China.PloS one · 2014Article
- Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We investigated the seasonality of tuberculosis (TB) in Wuhan, China, to evaluate the increased risk of disease transmission during each season and to develop an effective TB control strategy. We applied spectral analysis to the weekly prevalence data of sputum smear positive (SSP) and sputum smear negative (SSN) pulmonary TB reported from 2006 to 2010. Cases of both SSP and SSN feature 1·0- and 0·5-year periodic modes. The least squares method was used to fit curves to the two periodic modes for SSP and SSN data. The curves demonstrated dominant peaks in spring similar to cases reported previously for other locations. Notably for SSP, dominant peaks were also observed in summer. The spring peaks of SSP and SSN were explained in terms of poorly ventilated and humid rooms and vitamin D deficiency. For the summer peaks of SSP, summer influenza epidemics in Wuhan may contribute to the increase in TB prevalence.
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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.