Introduction
Materials and methods
Data sources
Acute hemorrhagic conjunctivitis surveillance data
The sociodemographic factors associated with acute hemorrhagic conjunctivitis
Statistical analysis
Spatial autocorrelation analysis
Retrospective spatiotemporal scan statistic
Spatial autocorrelation analysis
Joinpoint regression analysis
Generalized linear model
Software
Results
The incidence of acute hemorrhagic conjunctivitis in mainland China from 2004 to 2018
Region | Number of cases | Average annual incidence (/100,000) | AAPC | Trends | ||
---|---|---|---|---|---|---|
2004–2018 | 2004–2009 | 2010–2018 | ||||
Guangxi | 150,716 | 20.91 | 6.45 | 30.55 | 8.49 (− 3.45 to 21.91) | Stable |
Hainan | 23,477 | 17.68 | 4.00 | 26.8 | 31.80 (9.54–58.58)* | Increased |
Guangdong | 143,833 | 9.84 | 7.21 | 11.6 | 1.67 (− 12.17 to 17.69) | Stable |
Chongqing | 30,686 | 7.04 | 4.06 | 9.03 | 3.32 (− 6.58 to 14.27) | Stable |
Hubei | 54,810 | 6.34 | 2.03 | 9.22 | 19.95 (4.06 to 38.28)* | Increased |
Zhejiang | 49,228 | 6.32 | 4.55 | 7.50 | − 4.47 (− 16.76 to 9.65) | Stable |
Anhui | 31,888 | 3.48 | 0.54 | 5.45 | 24.58 (12.48 to 37.98)* | Increased |
Yunnan | 23,438 | 3.36 | 1.85 | 4.37 | 26.12 (7.77 to 47.60)* | Increased |
Sichuan | 40,429 | 3.29 | 2.77 | 3.64 | − 7.13 (− 17.59 to 4.67) | Stable |
Hunan | 29,099 | 2.97 | 1.26 | 4.11 | 10.69 (− 2.02 to 25.06) | Stable |
Shaanxi | 15,943 | 2.82 | 0.64 | 4.28 | 11.77 (− 8.72 to 36.87) | Stable |
Guizhou | 13,599 | 2.5 | 2.3 | 2.63 | 8.46 (0.56 to 16.99)* | Increased |
Jiangxi | 16,009 | 2.39 | 0.62 | 3.56 | 15.29 (2.78 to 29.32)* | Increased |
Beijing | 4882 | 1.99 | 4.07 | 0.61 | − 24.17 (− 26.46 to − 21.81)* | Decreased |
Fujian | 10,815 | 1.96 | 0.69 | 2.81 | 8.04 (− 5.53 to 23.55) | Stable |
Hebei | 20,985 | 1.93 | 1.12 | 2.48 | 13.05 (10.02 to 16.16)* | Increased |
Ningxia | 1799 | 1.89 | 1.52 | 2.14 | 3.59 (− 0.98 to 8.38) | Stable |
Henan | 20,589 | 1.45 | 0.43 | 2.13 | 19.31 (12.96 to 26.02)* | Increased |
Gansu | 5087 | 1.31 | 0.35 | 1.94 | 22.75 (16.77 to 29.04)* | Increased |
Qinghai | 894 | 1.04 | 0.64 | 1.3 | 11.42 (7.48 to 15.51)* | Increased |
Tibet | 434 | 1.02 | 1.04 | 1.01 | 1.42 (− 19.07 to 27.10) | Stable |
Shanghai | 2396 | 0.86 | 1.12 | 0.69 | − 22.84 (− 29.81 to − 15.17)* | Decreased |
Jiangsu | 9398 | 0.8 | 0.48 | 1.02 | 7.97 (− 6.48 to 24.65) | Stable |
Shanxi | 4066 | 0.76 | 0.48 | 0.95 | 3.75 (− 4.90 to 13.18) | Stable |
Tianjin | 1190 | 0.71 | 1.32 | 0.30 | − 23.49 (− 26.5 to − 20.35)* | Decreased |
Shandong | 8695 | 0.6 | 0.2 | 0.87 | 18.59 (9.63 to 28.29)* | Increased |
Inner Mongolia | 1976 | 0.54 | 0.42 | 0.62 | 12.39 (2.3 to 23.47)* | Increased |
Xinjiang | 1111 | 0.36 | 0.64 | 0.17 | − 15.15 (− 18.08 to − 12.12)* | Decreased |
Jilin | 1300 | 0.32 | 0.16 | 0.42 | − 3.27 (− 20.67 to 17.94) | Stable |
Liaoning | 1264 | 0.19 | 0.14 | 0.23 | 4.92 (− 1.42 to 11.67) | Stable |
Heilongjiang | 604 | 0.11 | 0.07 | 0.13 | 0.15 (− 8.10 to 9.15) | Stable |
Mainland China | 720,640 | 3.58 | 1.82 | 4.75 | 8.04 (− 5.53 to 23.55) | Stable |
The space–time cluster of acute hemorrhagic conjunctivitis in mainland China from 2004 to 2018
The incidence trends of acute hemorrhagic conjunctivitis in mainland China from 2004 to 2018
The seasonal and age group distribution of acute hemorrhagic conjunctivitis in mainland China from 2004 to 2018
Sociodemographic factors associated with the incidence of acute hemorrhagic conjunctivitis
Variables | Coefficient | Standard error | P value |
---|---|---|---|
Year | 0.1654 | 0.0248 | < 0.001** |
Birth rate | 18.513 | 4.5161 | < 0.001** |
Population ages 0–14 (% of total population) | 0.0760 | 0.0376 | 0.044* |
Urban population (% of total population) | 0.0755 | 0.0119 | < 0.001** |
Population density | 0.0001 | 0.0002 | 0.704 |
Log passenger traffic | 0.1244 | 0.0267 | < 0.001** |
Gross domestic product per capital | − 0.0004 | 0.0000 | < 0.001** |
Health workers (per 1000 people) | − 0.0219 | 0.0594 | 0.106 |