A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa
Abstract Background Cross-border malaria transmission in China is a major component of Chinese imported malaria cases. Such cases mostly are travellers returning from malaria endemic countries in Africa. By investigating malaria infectious status among Chinese worker in Africa, this study analysed t...
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Format: | Article |
Language: | English |
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BMC
2017-07-01
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Series: | Malaria Journal |
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Online Access: | http://link.springer.com/article/10.1186/s12936-017-1927-4 |
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author | Hui-ming Wu Zhi-qiang Fang Dang Zhao Yan-ling Chen Chuan-ge Liu Xi Liang |
author_facet | Hui-ming Wu Zhi-qiang Fang Dang Zhao Yan-ling Chen Chuan-ge Liu Xi Liang |
author_sort | Hui-ming Wu |
collection | DOAJ |
description | Abstract Background Cross-border malaria transmission in China is a major component of Chinese imported malaria cases. Such cases mostly are travellers returning from malaria endemic countries in Africa. By investigating malaria infectious status among Chinese worker in Africa, this study analysed the malaria risk factors, in order to establish infectious forecast model. Methods Chinese returnees data from Africa were collected at Guangzhou Baiyun International Airport, Guangzhou, China between August 2015 and March 2016 and were included in the cross-sectional and retrospective survey. Results A total of 1492 respondents were included in the study with the majority consisting of junior middle school educated male. Most of them are manual and technical workers hired by companies, with average of 37.04 years of age. Overall malaria incidence rate of the population was 8.98% (134/1492), and there were no significant differences regarding age, gender, occupation, or team. Forecast model was developed on the basis of malaria risk factors including working country, local ecological environment type, work duration and intensity of mosquito bite prevention. Conclusions The survey suggested that malaria incidence was high among Chinese travellers who had worked in Africa countries of heavy malaria burden. Further research on the frequency and severity of clinical episodes among Chinese travellers having worked in Africa is needed. |
first_indexed | 2024-12-12T02:36:09Z |
format | Article |
id | doaj.art-c42a38300c0849169a8e3db6e4dbf891 |
institution | Directory Open Access Journal |
issn | 1475-2875 |
language | English |
last_indexed | 2024-12-12T02:36:09Z |
publishDate | 2017-07-01 |
publisher | BMC |
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series | Malaria Journal |
spelling | doaj.art-c42a38300c0849169a8e3db6e4dbf8912022-12-22T00:41:16ZengBMCMalaria Journal1475-28752017-07-011611710.1186/s12936-017-1927-4A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from AfricaHui-ming Wu0Zhi-qiang Fang1Dang Zhao2Yan-ling Chen3Chuan-ge Liu4Xi Liang5Guangzhou Airport Entry-Exit Inspection and Quarantine BureauChinese Academy of Inspection and QuarantineGuangzhou Airport Entry-Exit Inspection and Quarantine BureauGuangzhou Airport Entry-Exit Inspection and Quarantine BureauGuangzhou Airport Entry-Exit Inspection and Quarantine BureauGuangzhou Airport Entry-Exit Inspection and Quarantine BureauAbstract Background Cross-border malaria transmission in China is a major component of Chinese imported malaria cases. Such cases mostly are travellers returning from malaria endemic countries in Africa. By investigating malaria infectious status among Chinese worker in Africa, this study analysed the malaria risk factors, in order to establish infectious forecast model. Methods Chinese returnees data from Africa were collected at Guangzhou Baiyun International Airport, Guangzhou, China between August 2015 and March 2016 and were included in the cross-sectional and retrospective survey. Results A total of 1492 respondents were included in the study with the majority consisting of junior middle school educated male. Most of them are manual and technical workers hired by companies, with average of 37.04 years of age. Overall malaria incidence rate of the population was 8.98% (134/1492), and there were no significant differences regarding age, gender, occupation, or team. Forecast model was developed on the basis of malaria risk factors including working country, local ecological environment type, work duration and intensity of mosquito bite prevention. Conclusions The survey suggested that malaria incidence was high among Chinese travellers who had worked in Africa countries of heavy malaria burden. Further research on the frequency and severity of clinical episodes among Chinese travellers having worked in Africa is needed.http://link.springer.com/article/10.1186/s12936-017-1927-4Chinese travellersAfricaMalariaEpidemiological characteristicsForecast model |
spellingShingle | Hui-ming Wu Zhi-qiang Fang Dang Zhao Yan-ling Chen Chuan-ge Liu Xi Liang A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa Malaria Journal Chinese travellers Africa Malaria Epidemiological characteristics Forecast model |
title | A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa |
title_full | A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa |
title_fullStr | A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa |
title_full_unstemmed | A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa |
title_short | A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa |
title_sort | study on the epidemiological characteristics and infectious forecast model of malaria at guangzhou airport among chinese returnees from africa |
topic | Chinese travellers Africa Malaria Epidemiological characteristics Forecast model |
url | http://link.springer.com/article/10.1186/s12936-017-1927-4 |
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