ArticleEpidemiology and infection2017
Comparative dynamics, seasonality in transmission, and predictability of childhood infections in Mexico.
Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Article
- Bias in the estimated reporting fraction due to vaccination in the time-series SIR model.PloS one · 2025Article
- Delineating the Seasonality of Varicella and Its Association With Climate in the Tropical Country of Colombia.The Journal of infectious diseases · 2023Article
- Estimation of the relationship between meteorological factors and measles using spatiotemporal Bayesian model in Shandong Province, China.BMC public health · 2023Article
- Infectious disease in an era of global change.Nature reviews. Microbiology · 2022Review
- The incidence of mumps in Taiwan and its association with the meteorological parameters: An observational study.Medicine · 2021Observational
- Rubella Vaccine Introduction in the South African Public Vaccination Schedule: Mathematical Modelling for Decision Making.Vaccines · 2020Article
- The role of meteorological factors on mumps incidence among children in Guangzhou, Southern China.PloS one · 2020Article
- Epidemic dynamics of respiratory syncytial virus in current and future climates.Nature communications · 2019Article
- On the predictability of infectious disease outbreaks.Nature communications · 2019Article
- Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan.EPJ data science · 2018Article
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Authors and funding
3 authors.
Funding
Abstract
The seasonality and periodicity of infections, and the mechanisms underlying observed dynamics, can have implications for control efforts. This is particularly true for acute childhood infections. Among these, the dynamics of measles is the best understood and has been extensively studied, most notably in the UK prior to the start of vaccination. Less is known about the dynamics of other childhood diseases, particularly outside Europe and the United States. In this paper, we leverage a unique dataset to examine the epidemiology of six childhood infections - measles, mumps, rubella, varicella, scarlet fever and pertussis - across 32 states in Mexico from 1985 to 2007. This dataset provides us with a spatio-temporal probe into the dynamics of six common childhood infections, and allows us to compare them in the same setting over the same time period. We examine three key epidemiological characteristics of these infections - the age profile of infections, spatio-temporal dynamics, and seasonality in transmission - and compare them with predictions from existing theory and past findings. Our analysis reveals interesting epidemiological differences between the six pathogens, and variations across space. We find signatures of term-time forcing (reduced transmission during the summer) for measles, mumps, rubella, varicella, and scarlet fever; for pertussis, a lack of term-time forcing could not be rejected.
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