ArticlePLoS computational biology2015
Impact of School Cycles and Environmental Forcing on the Timing of Pandemic Influenza Activity in Mexican States, May-December 2009.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
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- Projecting the SARS-CoV-2 transition from pandemicity to endemicity: Epidemiological and immunological considerations.PLoS pathogens · 2022Review
- New estimates of the Zika virus epidemic attack rate in Northeastern Brazil from 2015 to 2016: A modelling analysis based on Guillain-Barré Syndrome (GBS) surveillance data.PLoS neglected tropical diseases · 2020Article
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- Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India.American journal of epidemiology · 2018Article
- The use of ambient humidity conditions to improve influenza forecast.PLoS computational biology · 2017Article
- Influenza transmission during extreme indoor conditions in a low-resource tropical setting.International journal of biometeorology · 2017Article
- Does influenza drive absolute humidity?Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Human mobility and the spatial transmission of influenza in the United States.PLoS computational biology · 2017Article
- National Influenza Surveillance in the Philippines from 2006 to 2012: seasonality and circulating strains.BMC infectious diseases · 2016Article
- Mathematical models to characterize early epidemic growth: A review.Physics of life reviews · 2016Review
- Model-based reconstruction of an epidemic using multiple datasets: understanding influenza A/H1N1 pandemic dynamics in Israel.Journal of the Royal Society, Interface · 2016Article
- An Epidemiological Analysis of Summer Influenza Epidemics in Okinawa.Internal medicine (Tokyo, Japan)Review
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Abstract
While a relationship between environmental forcing and influenza transmission has been established in inter-pandemic seasons, the drivers of pandemic influenza remain debated. In particular, school effects may predominate in pandemic seasons marked by an atypical concentration of cases among children. For the 2009 A/H1N1 pandemic, Mexico is a particularly interesting case study due to its broad geographic extent encompassing temperate and tropical regions, well-documented regional variation in the occurrence of pandemic outbreaks, and coincidence of several school breaks during the pandemic period. Here we fit a series of transmission models to daily laboratory-confirmed influenza data in 32 Mexican states using MCMC approaches, considering a meta-population framework or the absence of spatial coupling between states. We use these models to explore the effect of environmental, school-related and travel factors on the generation of spatially-heterogeneous pandemic waves. We find that the spatial structure of the pandemic is best understood by the interplay between regional differences in specific humidity (explaining the occurrence of pandemic activity towards the end of the school term in late May-June 2009 in more humid southeastern states), school vacations (preventing influenza transmission during July-August in all states), and regional differences in residual susceptibility (resulting in large outbreaks in early fall 2009 in central and northern Mexico that had yet to experience fully-developed outbreaks). Our results are in line with the concept that very high levels of specific humidity, as present during summer in southeastern Mexico, favor influenza transmission, and that school cycles are a strong determinant of pandemic wave timing.
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