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Measles is an acute, highly contagious viral disease characterized by fever, rash, cough, conjunctivitis, and coryza. The measles virus is extremely transmissible, with over 90% of susceptible individuals developing symptoms upon exposure. Historically, measles has been one of the most common acute respiratory infections in children, with significant outbreak potential (1). Global efforts have been directed towards eliminating measles. In 2020, the World Health Organization (WHO) introduced the “2021–2030 Global Measles and Rubella Strategic Framework,” which aims to achieve and sustain regional measles elimination by 2030 (2). Vaccination with measles-containing vaccines (MCV) remains the most cost-effective and efficient method for preventing measles and its complications. Since the implementation of planned immunization in China in 1978, the incidence of measles has dramatically decreased. From 2017 onwards, the reported incidence rate of measles in China has been below 1 per 100,000, indicating progress towards the elimination goal (3–5). This study analyzes the epidemiological characteristics and spatiotemporal distribution of measles in China from 2005 to 2022 to provide a scientific basis for enhancing measles prevention and control measures.
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From 2005 to 2022, a total of 732,218 measles cases were reported in China, comprising 431,053 males and 301,165 females, resulting in a male-to-female ratio of 1.43:1. The incidence rate varied from 0.039 to 9.95 per 100,000, with an average reported incidence of 3.00 per 100,000 (Figure 1). Joinpoint regression identified three incidence inflection points in 2008, 2011, and 2015. The annual percentage changes (APC) for the periods 2005−2008, 2008−2011, 2011−2015, and 2015−2022 were 2.13 [95% confidence interval (CI): −8.09, 22.52, P>0.05], −51.17 (95% CI: −62.35, −37.01, P<0.05), 37.59 (95% CI: 13.05, 109.94, P<0.05), and −55.28 (95% CI: −73.83, −44.01, P<0.05), respectively. The average annual percentage change (AAPC) was −31.55 (95% CI: −43.03, −27.12, P<0.05). Overall, the reported incidence of measles showed a significant decline from 2005 to 2022, with notable reductions during the periods 2008–2011 and 2015–2022.
Measles cases were reported monthly throughout the study period. Significant seasonal peaks in measles incidence were observed from 2005 to 2010 and again from 2013 to 2016, predominantly occurring between March and June. However, starting in 2017, the seasonality became less distinct, with cases reported sporadically year-round. The highest incidence was observed in the 0–4 year age group at 26.03 per 100,000, followed by the 5–9 year age group at 6.21 per 100,000. Among children under ten years, infants had the highest incidence at 75.41 per 100,000 (Figure 2). Overall, the majority (51.18%) of measles cases were in children under 5 years old, with very few cases in adults aged 50 years and older, excluding 14 cases with unknown ages.
The global spatial autocorrelation analysis of measles incidence rates from 2005 to 2022 revealed that Moran’s I values varied between −0.14 and 0.55. Significant spatial clustering of measles was identified during 2010–2011 and 2014–2017, with Moran’s I values over 0 and statistically significant (P<0.05). Local spatial autocorrelation analysis indicated that the number of provincial-level administrative divisions (PLADs) with measles hotspots ranged from zero to five (P<0.05). Hotspots were predominantly found in western PLADs. Although the overall measles incidence decreased to less than 1/100,000 in 2017 and no global spatial clustering was observed subsequently, incidence hotspots were still detected in western PLADs through local spatial autocorrelation analysis. Only one cold spot was detected in Yunnan in 2009 (Table 1). Spatiotemporal scan analysis identified one high-risk cluster and one low-risk cluster, encompassing 15 and 13 provincial-level areas, respectively (Table 2). The high-risk cluster persisted from 2005 to 2008 [relative risk (RR) =4.69, log-likelihood ratio (LLR) =140,816, P<0.001)], while the low-risk cluster persisted from 2016 to 2022 (RR=0.08, LLR=113,675, P<0.001).
Year Hotspot regions Cold spot regions N PLADs N PLADs 2005 3 Xinjiang, Xizang, Qinghai 0 2006 0 0 2007 0 0 2008 2 Xinjiang, Qinghai 0 2009 0 1 Yunnan 2010 3 Beijing, Tianjin, Hebei 0 2011 4 Xinjiang, Xizang, Qinghai, Sichuan 0 2012 1 Xizang 0 2013 2 Xinjiang, Xizang 0 2014 5 Hebei, Beijing, Jilin, Liaoning Tianjin 0 2015 4 Xinjiang, Xizang, Qinghai, Sichuan 0 2016 4 Xinjiang, Xizang, Qinghai, Gansu 0 2017 5 Xinjiang, Xizang, Qinghai, Sichuan, Yunnan 0 2018 1 Xizang 0 2019 4 Xinjiang, Xizang, Qinghai, Sichuan 0 2020 5 Xinjiang, Xizang, Qinghai, Gansu, Sichuan 0 2021 5 Xinjiang, Xizang, Qinghai, Gansu, Sichuan 0 2022 5 Xinjiang, Xizang, Qinghai, Gansu, Sichuan 0 Abbreviation: PLADs=provincial-level administrative divisions. Table 1. Hot and cold spots of measles incidence in China from 2005 to 2022.
Cluster types Year PLADs High-prevalence cluster areas 2005–2008 Xinjiang, Qinghai, Xizang, Gansu, Ningxia, Inner Mongolia, Sichuan, Shaanxi, Shanxi, Chongqing, Hebei, Beijing, Henan, Yunnan, Tianjin. Low-prevalence cluster areas 2016–2022 Guangxi, Hainan, Guizhou, Guangdong, Yunnan, Hunan, Chongqing, Sichuan, Jiangxi, Hubei, Fujian, Shaanxi, Anhui. Abbreviation: PLADs=provincial-level administrative divisions. Table 2. Spatiotemporal scan analysis of measles incidence in China from 2005 to 2022.
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