Mobile population dynamics and malaria vulnerability: a modelling study in the China-Myanmar border region of Yunnan Province, China

被引:21
作者
Chen, Tian-Mu [1 ,2 ,3 ,4 ]
Zhang, Shao-Sen [1 ,2 ,3 ,4 ]
Feng, Jun [1 ,2 ,3 ,4 ]
Xia, Zhi-Gui [1 ,2 ,3 ,4 ]
Luo, Chun-Hai [5 ]
Zeng, Xu-Can [5 ]
Guo, Xiang-Rui [6 ]
Lin, Zu-Rui [5 ]
Zhou, Hong-Ning [5 ]
Zhou, Shui-Sen [1 ,2 ,3 ,4 ]
机构
[1] Chinese Ctr Dis Control & Prevent, Natl Inst Parasit Dis, Dept Malaria, 207 Rui Jin Er Rd, Shanghai 200025, Peoples R China
[2] WHO Collaborating Ctr Trop Dis, 207 Rui Jin Er Rd, Shanghai 200025, Peoples R China
[3] Minist Sci & Technol, Natl Ctr Int Res Trop Dis, 207 Rui Jin Er Rd, Shanghai 200025, Peoples R China
[4] Minist Hlth, Key Lab Parasite & Vector Biol, 207 Rui Jin Er Rd, Shanghai 200025, Peoples R China
[5] Yunnan Inst Parasit Dis, Puer, Peoples R China
[6] Yingjiang Cty Ctr Dis Control & Prevent, Dehong, Peoples R China
关键词
Malaria; Importation; Vulnerability; Mobile population; Individual-based model; PANDEMIC INFLUENZA; OUTBREAKS; RISK; TRANSMISSIBILITY; ELIMINATION; CHANGSHA;
D O I
10.1186/s40249-018-0423-6
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: The China-Myanmar border region presents a great challenge in malaria elimination in China, and it is essential to understand the relationship between malaria vulnerability and population mobility in this region. Methods: A community-based, cross-sectional survey was performed in five villages of Yingjiang county during September 2016. Finger-prick blood samples were obtained to identify asymptomatic infections, and imported cases were identified in each village (between January 2013 and September 2016). A stochastic simulation model (SSM) was used to test the relationship between population mobility and malaria vulnerability, according to the mechanisms of malaria importation. Results: Thirty-two imported cases were identified in the five villages, with a 4-year average of 1 case/year (range: 0-5 cases/year). No parasites were detected in the 353 blood samples from 2016. The median density of malaria vulnerability was 0.012 (range: 0.000-0.033). The average proportion of mobile members of the study population was 32.56% (range: 28.38-71.95%). Most mobile individuals lived indoors at night with mosquito protection. The SSM model fit the investigated data (chi(2) = 0.487, P = 0.485). The average probability of infection in the members of the population that moved to Myanmar was 0.011 (range: 0.0048-0.1585). The values for simulated vulnerability increased with greater population mobility in each village. Conclusions: A high proportion of population mobility was associated with greater malaria vulnerability in the China-Myanmar border region. Mobile population-specific measures should be used to decrease the risk of malaria re-establishment in China.
引用
收藏
页数:11
相关论文
共 29 条
[1]   An ultrasensitive reverse transcription polymerase chain reaction assay to detect asymptomatic low-density Plasmodium falciparum and Plasmodium vivax infections in small volume blood samples [J].
Adams, Matthew ;
Joshi, Sudhaunshu N. ;
Mbambo, Gillian ;
Mu, Amy Z. ;
Roemmich, Shay M. ;
Shrestha, Biraj ;
Strauss, Kathy A. ;
Johnson, Nicole Eddington ;
Oo, Khine Zaw ;
Hlaing, Tin Maung ;
Han, Zay Yar ;
Han, Kay Thwe ;
Thura, Si ;
Richards, Adam K. ;
Huang, Fang ;
Nyunt, Myaing M. ;
Plowe, Christopher V. .
MALARIA JOURNAL, 2015, 14
[2]  
Bueno-Marí R, 2012, TROP BIOMED, V29, P39
[3]   Dynamic modelling of strategies for the control of acute haemorrhagic conjunctivitis outbreaks in schools in Changsha, China (2004-2015) [J].
Chen, S. L. ;
Liu, R. C. ;
Chen, F. M. ;
Zhang, X. X. ;
Zhao, J. ;
Chen, T. M. .
EPIDEMIOLOGY AND INFECTION, 2017, 145 (02) :368-378
[4]  
Chen TM, 2017, EPIDEMIOL INFECT, V145, P424, DOI [10.1017/S0950268816002508, 10.1017/s0950268816002508]
[5]   Evaluating the effects of common control measures for influenza A (H1N1) outbreak at school in China: A modeling study [J].
Chen, Tianmu ;
Huang, Yuanxiu ;
Liu, Ruchun ;
Xie, Zhi ;
Chen, Shuilian ;
Hu, Guoqing .
PLOS ONE, 2017, 12 (05)
[6]   Evidence-Based interventions of Norovirus outbreaks in China [J].
Chen, Tianmu ;
Gu, Haogao ;
Leung, Ross Ka-Kit ;
Liu, Ruchun ;
Chen, Qiuping ;
Wu, Ying ;
Li, Yaman .
BMC PUBLIC HEALTH, 2016, 16 :1-9
[7]   Risk of imported Ebola virus disease in China [J].
Chen, Tianmu ;
Leung, Ross Ka-Kit ;
Liu, Ruchun ;
Chen, Faming ;
Zhang, Xixing ;
Zhao, Jin ;
Chen, Shuilian .
TRAVEL MEDICINE AND INFECTIOUS DISEASE, 2014, 12 (06) :650-658
[8]   Investigation of Key Interventions for Shigellosis Outbreak Control in China [J].
Chen, Tianmu ;
Leung, Ross Ka-kit ;
Zhou, Zi ;
Liu, Ruchun ;
Zhang, Xixing ;
Zhang, Lijie .
PLOS ONE, 2014, 9 (04)
[9]   Malaria in Greece: Historical and current reflections on a re-emerging vector borne disease [J].
Danis, Kostas ;
Lenglet, Annick ;
Tseroni, Maria ;
Baka, Agoritsa ;
Tsiodras, Sotiris ;
Bonovas, Stefanos .
TRAVEL MEDICINE AND INFECTIOUS DISEASE, 2013, 11 (01) :8-14
[10]   Shrinking the malaria map in China: measuring the progress of the National Malaria Elimination Programme [J].
Hu, Tao ;
Liu, Yao-Bao ;
Zhang, Shao-Sen ;
Xia, Zhi-Gui ;
Zhou, Shui-Sen ;
Yan, Jun ;
Cao, Jun ;
Feng, Zhan-Chun .
INFECTIOUS DISEASES OF POVERTY, 2016, 5