Until now, the dynamics of measles transmission in China had been largely unknown. A recent study on the measles epidemic in China has far-reaching implications for eliminating the infection globally.
A recent study on measles epidemic in China has far-reaching implications in eliminating the disease worldwide. Using a new model-inference system, scientists were able to estimate the population susceptibility and demographical characteristics in three significant locations in China during pre-vaccine and modern mass-vaccination eras. The study published in PLOS shows that until now the dynamics of measles transmission in China had been mostly unknown.// Despite widespread vaccination, measles remains a leading cause of death in children globally, and elimination of measles has been particularly challenging in China, the largest country with endemic measles transmission. "While since 2008 China has reported greater than the 95 percent vaccination target coverage set by the World Health Organization for measles elimination, measles has continued to cause large outbreaks every year for reasons that remain undetermined," said Wan Yang, PhD, assistant professor of Epidemiology at the Columbia Mailman School, and lead author.
‘The findings of the study show that migration and climate conditions in China are the major significant contributors of measles transmission.’
With the ground-breaking modeling tool, the Columbia Mailman researchers were able to estimate key epidemiological parameters in Beijing, Guangzhou, and Shandong-- during 1951-2004. The research team collected detailed population data on yearly measles incidence and vaccination rates for the three sites. Since the data were often sparse for an entire city or province in any given year, the model-inference system enabled the investigators to study the long-term transmission dynamics of the disease and identify key epidemiological factors that may be contributing to measles’ persistent transmission.
"After thoroughly validating the model-inference system, we were able to show its accuracy in estimating out-of-sample data not used in the model and then apply it to estimate epidemiological and demographical characteristics key to measles transmission during 1951-2004 for these three key locations," noted Yang.
Much of measles research in the past had only focused on industrialized countries. The inference system that Yang and colleagues developed takes into account complex and changing population demographics, contact patterns, age-structure, mass vaccination, as well as under-reporting.
Major cities in China with large migrant populations resulted in endemic measles transmission during the recent decade in particular, Yang points out. Both Beijing and Guangzhou were among such cities; for example, in 2010, 36 percent of Beijing’s population were migrants, of which 8.5 percent came from Shandong, a province of moderate economic development, where estimated susceptibility was twice as high as in Beijing and Guangzhou since the mid-1990s.
Advertisement
"In addition to issues of migration, our study also revealed interesting differences in measles seasonality among the three study locations," said senior author Jeffrey Shaman, PhD, Mailman School professor of Environmental Health Sciences and director of the Climate and Health program. The literature shows, for example, in industrialized countries increased mixing among school-age children during school terms can facilitate measles transmission, and climate condition may also play a role in measles seasonality. "More specifically, winter indoor heating in cold climates in cities like Beijing and Shandong may increase crowding or reduce ventilation and increase the risk of infection during cold months."
Advertisement
Source-Eurekalert