| Literature DB >> 32089144 |
Cheng Ding1, Chenyang Huang1, Yuqing Zhou1, Xiaofang Fu1, Xiaoxiao Liu1, Jie Wu1, Min Deng2, Lanjuan Li1, Shigui Yang1,3.
Abstract
This study aims to ascertain the long-term epidemic trends of malaria and evaluates the probability of achieving the eradication goal by 2020 in China. Data on malaria incidence and deaths were extracted from the China Information System for Disease Control and Prevention. The epidemic trends by sex, age and spatial distribution and predictions of malaria were estimated by using Joinpoint and Poisson regressions. From 1950 to 2016, 227 668 374 malaria cases were reported in China, with an annualised average incidence of 337.02 (336.98-337.07, 95% confidence interval (CI)) per 100 000 population. The incidence decreased with an average annual per cent change (AAPC) of -11.4% (-16.6 to -6.0). There were 36 085 malaria deaths, with an annualised average mortality of 0.534 (0.529-0.540) per 1 000 000 population. The mortality decreased with an AAPC of -8.7% (-13.7 to -3.4). The predicted number of malaria cases and deaths for 2020 is 2 562 and 10, respectively, and zero for indigenous cases. The disease burden of malaria dramatically decreased in China. Though, the goal of malaria elimination is realistic by 2020 in China, routine clinical and entomological surveillance should be continually conducted, especially for the cross-border areas and imported malaria cases.Entities:
Keywords: China; epidemic trend; malaria; prediction
Year: 2020 PMID: 32089144 PMCID: PMC7058654 DOI: 10.1017/S0950268820000333
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 2.451
Fig. 1.Malaria epidemic trend in China from 1950 to 2016. Panel a: Incidence trend of malaria in China from 1950 to 2016; panel b: Mortality trend of malaria in China from 1950 to 2016.
Changes of incidence and mortality of malaria in each province or area in China from 1950 to 2016
| Province or area | Cases | Annualised average incidence 1/100 000 | AAPC (95% CI) % | Deaths | Annualised average mortality 1/1 000 000 | AAPC (95% CI) % | ||
|---|---|---|---|---|---|---|---|---|
| Beijing | 22 590 | 3.071 | 2.6 (−4.4, 10.1) | 0.7/0.5 | 12 | 0.016 | 3.4 (−2.3, 9.4) | 1.1/0.3 |
| Tianjin | 6 587 | 1.180 | −6.1 (−11.1, −0.8) | −2.2/<0.05 | 1 | 0.002 | 1.9 (−0.2, 4.0) | 1.7/0.1 |
| Hebei | 1 824 423 | 50.254 | −21.5 (−28.2, −14.1) | −5.3/<0.05 | 210 | 0.058 | −10.9 (−15.3, −6.2) | −4..4/<0.05 |
| Shanxi | 19 972 | 1.158 | −12.8 (−27.2, 4.5) | −1.5/0.1 | 47 | 0.027 | −9.0 (−11.1, −6.9) | −8.0/<0.05 |
| Neimenggu | 1 075 | 0.088 | −9.7 (−12.8, −6.4) | −5.6/<0.05 | 7 | 0.006 | −1.7 (−5.7, 2.4) | −0.8/0.4 |
| Liaoning | 277 572 | 11.958 | −18.7 (−28.7, −7.3) | −3.1/<0.05 | 30 | 0.013 | 4.4 (−17.1, 31.4) | 0.4/0.7 |
| Jilin | 9 939 | 0.696 | 2.1 (−74.2, 303.4) | 0.0/1.0 | 6 | 0.004 | 1.9 (−13.1, 19.4) | 0.2/0.8 |
| Heilongjiang | 3 978 | 0.201 | −4.8 (−8.2, −1.3) | −2.7/<0.05 | 3 | 0.002 | −2.4 (−3.7, −1.0) | −3.4/<0.05 |
| Shanghai | 1 378 944 | 155.020 | −9.6 (−15.3, −3.5) | −3.0/<0.05 | 331 | 0.372 | −10.2 (−12, −8.4) | −10.5/<0.05 |
| Jiangsu | 34 680 179 | 856.057 | −18.4 (−24.2, −12.2) | −5.4/<0.05 | 749 | 0.185 | −9.6 (−11.6, −7.5) | −9.0/<0.05 |
| Zhejiang | 6 733 308 | 259.522 | −11.9 (−15.2, −8.5) | −6.5/<0.05 | 3 618 | 1.394 | −10.7 (−24.9, 6.2) | −1.3/0.2 |
| Anhui | 29 525 149 | 912.157 | −9.1 (−14.2, −3.7) | −3.2/<0.05 | 2 174 | 0.672 | −17.3 (−83.3, 309.1) | −0.2/0.8 |
| Fujian | 3 790 815 | 216.640 | −24.8 (−29.9, −19.3) | −8.0/<0.05 | 771 | 0.441 | −5.6 (−11.8, 1.0) | −1.7/0.1 |
| Jiangxi | 9 348 941 | 427.394 | −9.9 (−14.1, −5.5) | −4.3/<0.05 | 1 166 | 0.533 | −9.2 (−13.9, −4.3) | −3.6/<0.05 |
| Shandong | 23 715 507 | 473.291 | −18.6 (−28.7, −7.0) | −3.0/<0.05 | 370 | 0.074 | −0.5 (−8.4, 8.1) | −0.1/0.9 |
| Henan | 61 653 174 | 1245.514 | −13.2 (−16.2, −10.1) | −7.9/<0.05 | 1 294 | 0.261 | −9.3 (−10.7, −7.8) | −11.8/<0.05 |
| Hubei | 22 595 412 | 724.554 | −11.3 (−14.2, −8.4) | −7.3/<0.05 | 1 358 | 0.435 | −9.6 (−17.7, −0.6) | −2..1/<0.05 |
| Hunan | 4 822 728 | 136.447 | −13.6 (−18.9, −7.9) | −4.5/<0.05 | 2 349 | 0.665 | −12.9 (−15.7, −10.0) | −8.5/<0.05 |
| Guangdong | 8 933 887 | 215.681 | −10.0 (−11.5, −8.6) | −12.8/<0.05 | 4 558 | 1.100 | −10.3 (−12.7, −7.9) | −7.9/<0.05 |
| Guangxi | 4 069 421 | 169.169 | −7.7 (−10.6, −4.8) | −5.0/<0.05 | 3 111 | 1.293 | −13 (−15.5, −10.5) | −9.5/<0.05 |
| Hainan | 136 377 | 35.079 | −19.9 (−27.1, −12.0) | −4.6/<0.05 | 44 | 0.113 | −15.2 (−35.5, 11.5) | −1.2/0.2 |
| Chongqing | 1 497 | 0.089 | −9.7 (−14.1, −5.0) | −4.0/<0.05 | 4 | 0.002 | 17.3 (6.9–28.7) | 3.6/<0.05 |
| Sichuan | 7 594 053 | 164.863 | −13.6 (−18.4, −8.5) | −5.0/<0.05 | 2 817 | 0.612 | −9.3 (−11.1, −7.4) | −9.3/<0.05 |
| Guizhou | 2 062 252 | 111.369 | −7.1 (−10.6, −3.5) | −3.8/<0.05 | 3 197 | 1.726 | −7.2 (−10.3, −4.0) | −4.3/<0.05 |
| Yunnan | 3 560 457 | 163.100 | −3.2 (−7.3, 1.1) | −1.5/0.1 | 7 567 | 3.466 | −6.8 (−8.8, −4.7) | −6.3/<0.05 |
| Xizang | 2 657 | 1.976 | −4.5 (−6.9, −2.0) | −3.6/<0.05 | 10 | 0.074 | −5.0 (−18, 10.1) | −0.7/0.5 |
| Shaanxi | 766 762 | 39.831 | −7.8 (−11.1, −4.4) | −4.4/<0.05 | 104 | 0.054 | −5.6 (−12.0, 1.4) | −1.6/0.1 |
| Gansu | 37 931 | 2.904 | −7.8 (−12.7, −2.5) | −2.9/<0.05 | 51 | 0.039 | −7.3 (−11.0, −3.4) | −3.6/<0.05 |
| Qinghai | 856 | 0.331 | −7.1 (−17.6, 4.7) | −1.2/0.2 | 2 | 0.008 | −1.9 (−3.2, −0.6) | −2.9/<0.05 |
| Ningxia | 482 | 0.180 | −3.4 (−8.4, 1.9) | −1.3/0.2 | 1 | 0.004 | −2.9 (−4.1, −1.6) | −4.6/<0.05 |
| Xinjiang | 90 108 | 9.968 | −14.0 (−16.0, −11.9) | −12.5/<0.05 | 113 | 0.125 | −11.1 (−15, −7.1) | −5.2/<0.05 |
AAPC, average annual percent change; 95% CI, 95% confidence interval.
Fig. 2.Geographical distribution of malaria incidence in China.
Fig. 3.Seasonal distribution of malaria incidence and mortality in China. Panel a: Seasonal distribution of malaria incidence from 1950 to 2016; panel b: Seasonal distribution of malaria mortality from 1950 to 2016.
Reported and predicted malaria cases and deaths in China from 2011 to 2020
| Year | Cases | Predicted cases | Predicted incidence (1/100 000) | Deaths | Predicted deaths | Predicted mortality (1/1 000 000) | Indigenous cases | Predicted indigenous cases | Predicted indigenous incidence (1/100 000) | Imported cases | Predicted imported cases | Predicted imported incidence (1/100 000) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011 | 4 088 | 3 638 | 0.270 | 30 | 27 | 0.020 | 3 367 | 3 166 | 0.235 | 721 | 472 | 0.035 |
| 2012 | 2 451 | 3 521 | 0.260 | 15 | 27 | 0.020 | 244 | 691 | 0.051 | 2 207 | 2 830 | 0.209 |
| 2013 | 3 896 | 3 402 | 0.250 | 20 | 27 | 0.020 | 86 | 150 | 0.011 | 3 810 | 3 252 | 0.239 |
| 2014 | 2 921 | 3 283 | 0.240 | 24 | 14 | 0.010 | 56 | 27 | 0.002 | 2 865 | 3 256 | 0.238 |
| 2015 | 3 116 | 3 162 | 0.230 | 20 | 14 | 0.010 | 39 | 14 | 0.001 | 3 077 | 3 148 | 0.229 |
| 2016 | 3 147 | 3 042 | 0.220 | 15 | 14 | 0.010 | 3 | 0 | 0.000 | 3 144 | 3 042 | 0.220 |
| 2017 | – | 2 914 | 0.239 | – | 13 | 0.009 | – | 0 | 0.000 | – | 2 914 | 0.239 |
| 2018 | – | 2 792 | 0.260 | – | 12 | 0.008 | – | 0 | 0.000 | – | 2 792 | 0.260 |
| 2019 | – | 2 675 | 0.283 | – | 11 | 0.008 | – | 0 | 0.000 | – | 2 675 | 0.283 |
| 2020 | – | 2 562 | 0.307 | – | 10 | 0.007 | – | 0 | 0.000 | – | 2 562 | 0.307 |
| APC (95% CI) (2011–2016) | −4.2 (−15.5, 8.7) | −8.6 (−22.4, 7.8) | −78.1 (−89.3, −55.4) | 11.2 (−16.3, 47.6) | ||||||||
APC, annual percent change; 95% CI, 95% confidence interval.
Significant at 0.05 level; number of predicted cases from 2017 to 2020 was based on the population in 2016.