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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Int J Infect Dis. Author manuscript; available in PMC 2017 April 1.
Published in final edited form as:
PMCID: PMC4834250
NIHMSID: NIHMS773472

The impact of Supplementary Immunization Activities on the epidemiology of measles in Tianjin, China

Summary

Objectives

China has repeatedly used supplemental immunization activities (SIAs) to work towards measles elimination, but it is unknown if the SIAs are reaching non-locals, migrants from rural to urban areas. This study characterizes temporal trends in measles incidence by local and non-local residency and evaluates the impact of SIAs on measles incidence in Tianjin, China.

Methods

Daily measles case counts were tabulated separately by residency. These two datasets were combined so that each day had two observations. We conducted Poisson regression using generalized estimating equations with an exchangeable working correlation structure to estimate rate ratios (RRs).

Results

There were 12,465 measles cases in Tianjin over the 10-year period. The rate of measles was higher in non-locals than locals before the 2008 SIA (RR: 3.60, 95% CI: 3.27, 3.96), but this attenuates to a RR of 1.22 between the 2008 and 2010 SIAs (95% CI: 1.02, 1.45). Following the 2010 SIA, non-locals had a lower rate of measles (RR: 0.78, 95% CI: 0.69, 0.87).

Conclusions

The disparity in measles incidence between locals and non-locals was reduced following two SIAs. Sustained public health interventions will be needed to maintain low measles incidence among non-locals given ongoing migration of people throughout China.

Keywords: measles, mass vaccination, China

Introduction

Measles was officially eliminated in the Americas in 2002,1 and the other five regions of the World Health Organization (WHO) are slated for measles elimination by 2020.2 This remarkable public health success in control of a highly infectious disease has been made possible through the universal recommendation for measles vaccination. Prior to the advent of the measles vaccine, 90% of people were infected by age 20, resulting in 100 million cases and 6 million deaths worldwide each year.3 As vaccination coverage has increased, the number of deaths from measles globally has decreased from 631,200 in 1990 to 125,400 in 2010.4 As of 2014, there were 114,900 deaths due to measles.5

The Chinese government is committed to national measles elimination, even though the country did not meet its original elimination target in 2012. China's initial goal to reduce measles incidence by 90% between 1965 and 1995 resulted in an impressive decline from over 1000 cases per 100 000 in the 1960s, prior to measles vaccine availability, to 5.7 cases per 100 000 in the late 1990s.6 The Chinese government's subsequent goals to reduce measles incidence by 90% from 2000 to 2010 and to eliminate measles by 2012 were not realized as disease incidence decreased more gradually from 6 cases per 100 000 in 2000 to only 2.86 in 2010,79 followed by a slight increase in cases between 2011 and 2014. It is unclear why there have been increases in the number of cases in some recent years, and, more broadly, why China has been unable to achieve sustained reductions in measles leading to elimination, especially given that China has invested heavily in both routine immunization services and repeated supplementary immunization activities.7

China introduced its own measles-containing vaccine (MCV) to market in 1966,10 which was subsequently integrated in 1978 into the Expanded Program on Immunization (EPI), a government-funded initiative to provide select vaccines for free to all children.11 Nationwide, the EPI in China offers a first dose of MCV at 8 months and the second at 18 to 24 months.11 Additionally, some administrative divisions offer a third dose of MCV when the child is 5 years of age (since 2007 in Tianjin) because MCV dose 1 has low immunogenicity when administered to infants under 1 year of age.12

According to the WHO, MCV dose 2 can be given either as part of routine immunization services or in supplementary immunization activities (SIAs), which are mass immunization events within a defined geographical region.13 Between 2004 and 2009, 25 of 31 province-level administrative divisions in mainland China implemented measles SIAs, collectively vaccinating 164 million children.14 In 2010, a single SIA delivered 102.3 million doses nationwide.15 In Tianjin, the 2008 SIA administered 1.3 million doses of measles vaccine to children between the ages of 8 months and 14 years; and the 2010 SIA, which targeted all children aged 8 months to 4 years, resulted in the administration of 450,000 MCV doses.16

Some researchers suggest that measles outbreaks in China are potentiated by the over 260 million members of the country's highly mobile population, the so-called floating population,6,7,17 who move from the countryside into cities.18,19 In contrast to locals, these “non-locals” do not reside in the province recorded in their official residency papers, or hukou, and lack access to some government entitlement programs.19,20 Non-local children are offered EPI vaccines for free, just like local children, but some studies have shown that non-locals have lower coverage of EPI vaccines,21 possibly due to the difficulties in trying to find and identify children who have newly relocated.7 For example, one study in Zhejiang province showed that appropriate-for-age MCV dose 1 coverage was 72.0% in locals and 36.3% in non-locals.22 Previous research on measles cases in China has not adequately addressed the role of non-locals in measles incidence, particularly given that the non-local population has increased rapidly in recent years, they can obtain measles vaccinations for free, and that both their place of origin and destination province likely had 2 SIAs within the past decade.6,7,14 Therefore, additional research is needed to fully characterize the changing epidemiology of measles in China in the elimination era. In this paper, we use data from the Tianjin notifiable disease surveillance system to characterize temporal trends in measles incidence in non-locals versus locals and to evaluate the impact of SIAs on measles incidence.

Methods

Study population

Tianjin is a wealthy municipality 120 km southeast of Beijing. There has been substantial migration into this city from outside areas: in 2013, an estimated 4.7 million of the 14.7 million persons residing in Tianjin were non-locals.23 Although Tianjin does contain densely-populated, urban districts, adjacent suburban districts and rural counties also figure into the municipality's administration. The health infrastructure in Tianjin includes both a municipality-wide Center for Disease Control and Prevention (CDC) with jurisdiction over the entire municipality, as well as district-level CDCs.

Measles is a notifiable infectious disease in China,24 and after undergoing a clinical diagnosis by a physician, suspected cases in hospitals are reported into the National Infectious Disease Monitoring Information System (NIDMIS). These cases are investigated by staff from district-level CDCs. NIDMIS includes demographic information for each case (birth date, sex, district of residence, residency), vaccination status (unknown, ≥1 dose, or 0 doses), and dates of measles diagnosis and report. We included both laboratory-confirmed and clinically-confirmed measles cases. Laboratory-confirmed cases are required to have a positive IgM result reported from serum or to include report of wild-type measles virus isolated by RT-PCR.25 A case with a clinical diagnosis is one in which the patient demonstrates symptoms of fever and rash, in combination with a classic prodrome of cough, coryza, or conjunctivitis.

Derived variables

The two municipal-wide SIAs in Tianjin occurred in December 2008 and in September 2010. We grouped measles cases into 3 time periods, depending on when they were reported into NIDMIS relative to the SIAs. Cases reported on 1 January 2005 through 4 December 2008 were considered “before the 2008 SIA”; cases that were reported on 5 December 2008 through 20 September 2010 occurred “between the 2008 and 2010 SIAs”; and “after the 2010 SIA” includes all cases reported on 21 September 2010 through 31 December 2014.

Provinces in China are divided into district-level administrative regions (either districts or counties, with the difference between the two based on historical designations). We grouped the districts in Tianjin by urbanicity, based on typical government categorizations. Urban areas are home to more high-income industries and have better access to public services than suburban and rural areas.26,27 The 7 urban districts in Tianjin are Heping, Hedong, Hexi, Nankai, Hebei, Hongqiao, and Binhai New Area; 4 districts are categorized as suburban-Jinnan, Dongli, Xiqing, and Beichen; and 2 districts (Baodi and Wuqing) as well as 3 counties (Ji, Jinghai, and Ninghe) are considered rural.

Statistical analysis

The distribution of cases was cross-tabulated by sex, urbanicity, residency (non-local vs local), vaccination status, and time period. The rate of measles was plotted over time, with the rate calculated by dividing case counts from annual municipal population figures which were available from the China Statistical Yearbook.23 Separate population figures were available each year for both locals and non-locals, except for 2014, for which data were not available, and the 2013 figures were used instead.

We first performed an interesting exploratory analysis of the time series of measles. Monthly case counts from January 2005 to December 2014 were tabulated for the total population, and separately by residency and age group. Ages were categorized into 3 groups (<8 months, 8 months to <15 years, 15 years and above) based on if the person would have been targeted in the 2008 SIA. Subsequently, we used observed monthly case counts from January 2005 to November 2008 to forecast monthly case counts from December 2008 to December 2014 according to a standard time series analysis using exponential smoothing with additive error, long-term secular trend, and seasonal components.28 We then compared the observed case-count series with the predicted case-count series, with the understanding that predicted case-counts based on data prior to SIA reflect the counterfactual case counts that would be expected if the SIA had not taken place.

To make formal inferences about rates in locals and non-locals, we calculated daily case counts separately for these two groups. These two datasets were then combined into a single dataset whereby each day had two observations, one for locals and the other for non-locals. We conducted multivariable Poisson regression using generalized estimating equations with an exchangeable working correlation structure and used robust standard errors to account for potential correlation on the counts observed on the same day. The natural log of the population by residency was added to the model as an offset to obtain rates. The main predictors in this model were residency, time period, and an interaction between residency and time period. This model also controlled for a lag 1 autoregressive term (AR1) (to account for correlation in case counts on successive days) and seasonality of measles. Measles seasonality was the value of weekly measles case counts that came from the seasonal component of a daily time series which was decomposed into seasonal, trend, and remainder components using loess;29 measles seasonality represents the variation in measles incidence over time (with a peak in cases in April and May compared to other months).

The data were analyzed in R,30 with the packages forecast (for the exploratory time series analysis) and geepack (for the inferential statistics analysis).28,31

Ethics statement

This study was limited to analyses of de-identified cases. Because it fell under standard public health surveillance activities, the University of Michigan Institutional Review Board determined that the study was exempt from regulation.

Results

From 1 January 2005 through 31 December 2014 there were a total of 12,465 cases of measles reported in Tianjin, China. Slightly more cases were males (57.6%) than females, a majority (74.0%) were locals, and there was an even distribution of cases from urban (43.0%), suburban (25.1%) and rural (31.9%) districts. Just more than half of the cases (58.1%) occurred before the 2008 SIA; 17.2% of all cases occurred in the 21 months between the two SIAs, and 24.8% were reported after the second municipality-wide SIA in 2010.

Table 1 shows the distribution of demographic and vaccination characteristics overall and by residency. There was a bimodal distribution of cases by age, with most cases occurring either in children under 5 years of age, or adults over 15 years of age, the majority of whom were under 40 years of age. Compared to locals, non-local cases were more likely to be younger than 30 years of age (P<0.0001). Additionally, most cases (60.2%) aged 8 months to <15 years were unvaccinated, and more non-locals (57.8%) than locals (49.8%) in this age category had not received a measles vaccine (P<0.0001).

Table 1
Demographic Characteristics of Measles Cases in Tianjin, China, 2005-2014.

The count and frequency of demographic characteristics relative to the SIAs is shown in Table 2. The proportion of childhood cases who were vaccinated was less between the SIAs (19.4%) and after the 2010 SIA (32.3%) relative to prior to the 2008 SIA (36.4%) although there was a sizeable proportion of children with an unknown vaccination status in the early years of this study (P<0.0001). Over time, progressively more measles cases were laboratory-confirmed and not solely diagnosed from clinical criteria; before the 2008 SIA, 54.4% were laboratory confirmed whereas 93.6% were after the 2010 SIA (P<0.0001).

Table 2
Distribution of Measles Cases by Timing Relative to Supplementary Immunization Activities (SIAs), Tianjin, China, 2005-2014.

Figure 1 shows that the rate of measles has declined over time and that the disparity in rates between non-locals and locals disappears by 2010. In Figure 2, a similar seasonal pattern is seen for both locals and non-locals. There is a difference in the configuration of measles counts over time across different age groups. For infants <8 months of age and persons ≥15 years of age, who were not vaccinated in either SIA, there was a sharp increase in the number of cases in 2010, compared to 2009, whereas for children from 8 months through 14 years of age, this increase was in line with predicted values from the time series forecast. For all time series graphs, the observed monthly case count from 2011 through 2013 was less than the predicted values of the counterfactual forecast.

Figure 1
Monthly Rate of Measles in Tianjin, China, in the Total Population and by Residency.
Figure 2
Modelled (Grey Line) and Observed (Red Line) Cases of Measles in Tianjin, China. Black Arrows Indicate the Timing of Supplementary Immunization Activities.

Results of the interaction term between residency and time period in the multivariable regression are presented in Table 3. A substantial disparity in the rate of measles between non-locals and locals is observed before the SIAs (RR: 3.60, 95% CI: 3.27, 3.96), but this attenuates with non-locals exhibiting a rate of measles 1.22 times higher between the SIAs compared to locals (95% CI: 1.02, 1.45). After the 2010 SIA, non-locals had a lower rate of measles (RR: 0.78, 95% CI: 0.69, 0.87), consistent with our exploratory analysis.

Table 3
Rate Ratio Estimates for Measles by Residency and Timing Relative to Supplementary Immunization Activities (SIAs), Tianjin, China, 2005-2014.

Discussion

Supplemental immunization activities have served globally as an strategy to realize progress towards elimination of vaccine-preventable diseases.1,32,33 In this study, we found a substantial reduction in the number of measles cases over a ten-year period in Tianjin, China, following implementation of two municipality-wide SIAs. There was a dramatic reduction in the incidence of disease in non-locals, whereas incidence stayed more stable in locals. SIAs have been shown to be key in eliminating measles in the Americas,1 and reducing the incidence of disease in Eastern Europe.32 A study of 15 province-wide SIAs in China during 2004-2008 found that there was on average an 88.1% decrease in measles incidence the year after an SIA compared to the average rate in the preceding five years.14 Especially for countries and regions with less capacity to reliably deliver vaccines through routine immunization services, SIAs appear to be a cost-effective method to distribute the second dose of measles vaccines.33

There are well recognized disadvantages to SIAs, however, including the future accumulation of susceptible children who were too young to have been vaccinated after the SIA. In our study, we observed a large increase in measles cases among young infants and young adults in 2010, two years after the first, municipality-wide SIA. Similarly, three years after a major SIA in Xinjiang, China, a large-scale measles outbreak occurred, predominantly in children born after the SIA.14 Characterization of measles incidence for several years after an SIA is, therefore, essential in order to avoid the common practice of over-ascribing success in disease control to an SIA. Although SIAs can clearly reduce the number of cases, they may also shift the burden of disease to later birth cohorts or foster development of a multiannual cycle of heightened measles transmission instead of producing sustained reductions in measles incidence.14

The geographic impact of SIAs is limited because SIAs vaccinate people residing within a defined region. Before 2009, provinces in China implemented SIAs at separate times, whereas in 2010 there was a synchronized, nation-wide event. This latter SIA would be better able to reach the non-local population which moves in between provinces. This may be one explanation for why a local/non-local disparity in measles incidence persisted in the two years after the 2008 SIA, but not after the 2010 SIA. Numerous studies in China have suggested that migrants are a cause of high measles incidence,6,14,34 although a notable shortcoming has been that these previous studies did not quantify the disparity in rates between locals and non-locals. In fact, we found that the decrease in measles incidence over time was largely driven by decreases in incidence among non-locals. It is important to continue efforts to ensure high vaccination coverage in non-locals, because as unvaccinated migrants enter a population, it theoretically leads to a larger peak number of measles cases every second year.35,36 As increased numbers of migrants continue to move into Tianjin and other cities, China should consider using their surveillance system NIDMIS not only to monitor the seasonality and incidence of measles cases but also identify high-risk groups and forecast future epidemiological scenarios. In particular, establishing linkages between NIDMIS and other databases, like immunization registries, population statistical databases, and hospital records, could increase the usefulness of NIDMIS to identify susceptible populations and could provide data to research correlates of disease. In fact, we found that incidence of measles among locals was relatively steady across the entire study period, except for the years immediately following the SIAs.

Strengths and limitations

A limitation of this study is the validity of population figures, particularly for non-locals. Our data on population size came from the China Statistical Yearbook, but China has changed how it estimates the size of the non-local population over time.37 However, it is widely reported that population growth in Chinese cities over the past decade is primarily driven by migration and not through natural growth,38 which is what we observe in the population figures used in this study. In addition, 2014 data on non-local and local population sizes were not available, and our use of 2013 figures for 2014 likely overestimated measles incidence for non-locals in that year given their population growth. Future research that explores vaccination programming in China can better differentiate between why locals and non-locals differ in their changes in incidence over time. Another limitation is that this study estimates the impact of SIAs by comparing measles incidence before and after the intervention, but a number of other conditions could affect incidence, including changing dynamics in who has been vaccinated or has contracted a measles infection, as well as improved routine immunization services for recent migrants. For example, Tianjin has introduced a program in recent years which pays immunization clinic doctors to find migrant children and enroll them at clinics. Lastly, we included both clinically-confirmed and laboratory-confirmed cases of measles. The large proportion of cases vaccinated prior to the 2008 (and at a time when many cases were not laboratory-confirmed) could be partially due to clinical misdiagnoses.

An important strength of this study is that we had access to a disease information from a comprehensive, population-based surveillance system and population information from the China Statistics Yearbook which enabled us to compare the burden of disease between locals and non-locals, controlling for different population sizes. Evaluations of interventions in other countries could similarly use existing surveillance databases and follow our approach of first conducting an exploratory analysis and then a formal regression-based model of incidence before and after an intervention.

Conclusions

A time-series analysis of reported measles cases in Tianjin, China, from 2005 through 2014 revealed a steep reduction in measles cases overall, and a disparity in rates between locals and non-locals, which eventually disappeared after the second of two municipality-wide SIAs. Because of the ongoing and significant internal migration of people in China, sustained efforts will be needed to keep measles incidence low among non-locals in urban settings: SIAs on a supra-provincial scale can reach future migrants to cities, mop-up SIAs can specifically target new arrivals to an area, and routine immunization services can be improved to more efficiently give new arrivals access to EPI vaccines. During the elimination period, dissemination of information from disease registries will be an important part of characterizing disease in subpopulations and evaluating ongoing control efforts.

Highlights

  • Non-locals in China may contribute to measles outbreaks because of their mobility.
  • We compared incidence of measles in locals and non-locals using multilevel Poisson regressions.
  • Before 2008, the rate of measles was higher in non-locals than locals (RR: 3.60).
  • Following 2 mass vaccination campaigns, non-locals had a lower rate of measles.

Acknowledgments

We thank the staff at the Tianjin CDC for providing us with these data, and the health care workers at the municipal and district-level CDCs for their diligence in investigating the measles cases. This work was supported by the National Institutes of Health, Institute for Allergy and Infectious Diseases (grant number 5U01-AI-088671). The study sponsor had no role in the study design, data collection, data analysis and interpretation, manuscript preparation, or decision to submit the manuscript for publication.

Footnotes

Conflict of Interest Statement: No competing interest declared.

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