Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–Myanmar
Abstract Background To understand the Plasmodium vivax malaria transmission intensity and to assess the effectiveness of prevention and control measures taken along the China–Myanmar border, a catalytic model was used to calculate the seroconversion rate, an important indicator of malaria transmissi...
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BMC
2022-03-01
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Series: | Malaria Journal |
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Online Access: | https://doi.org/10.1186/s12936-022-04096-8 |
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author | Meixue Yao Lishun Xiao Xiaodong Sun Zurui Lin Xiao Hao Qiong-qiong Bai De-Hui Yin |
author_facet | Meixue Yao Lishun Xiao Xiaodong Sun Zurui Lin Xiao Hao Qiong-qiong Bai De-Hui Yin |
author_sort | Meixue Yao |
collection | DOAJ |
description | Abstract Background To understand the Plasmodium vivax malaria transmission intensity and to assess the effectiveness of prevention and control measures taken along the China–Myanmar border, a catalytic model was used to calculate the seroconversion rate, an important indicator of malaria transmission intensity with high sensitivity, which is particularly useful in areas of low transmission. Methods Five counties in Yunnan Province bordering Myanmar were selected as survey sites, and subjects were obtained in each county by stratified random sampling in 2013–2014. Fingerstick blood was collected from each subject and tested for antibodies to P. vivax Merozoite Surface Protein 1-19 (PvMSP1-19) using indirect ELISA. A catalytic conversion model was used to assess the transmission intensity of P. vivax malaria based on the maximum likelihood of generating a community seroconversion rate. Results A total of 3064 valid blood samples were collected. Antibody levels were positively correlated with age. The seroconversion rate (SCR) values for each village were Luoping (0.0054), Jingqiao (0.0061), Longpen (0.0087), Eluo (0.0079), Banwang (0.0042) and Banbie (0.0046), respectively. Conclusion Overall, the intensity of P. vivax malaria transmission in the border areas of Yunnan Province is low and not entirely consistent across counties. Consecutive serological surveys are needed to provide a sensitive evaluation of transmission dynamics and can help to confirm areas where infection is no longer present. |
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issn | 1475-2875 |
language | English |
last_indexed | 2024-12-20T00:55:32Z |
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series | Malaria Journal |
spelling | doaj.art-4efe9921d0ca4ff783b1013b5cf56bb02022-12-21T19:59:08ZengBMCMalaria Journal1475-28752022-03-012111910.1186/s12936-022-04096-8Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–MyanmarMeixue Yao0Lishun Xiao1Xiaodong Sun2Zurui Lin3Xiao Hao4Qiong-qiong Bai5De-Hui Yin6Key Laboratory of Environment and Health, Department of Epidemiology and Health Statistics, School of Public Health, Xuzhou Medical UniversityKey Laboratory of Environment and Health, Department of Epidemiology and Health Statistics, School of Public Health, Xuzhou Medical UniversityYunnan Institute of Parasitic DiseasesYunnan Institute of Parasitic DiseasesJinan Blood CenterKey Laboratory of Environment and Health, Department of Epidemiology and Health Statistics, School of Public Health, Xuzhou Medical UniversityKey Laboratory of Environment and Health, Department of Epidemiology and Health Statistics, School of Public Health, Xuzhou Medical UniversityAbstract Background To understand the Plasmodium vivax malaria transmission intensity and to assess the effectiveness of prevention and control measures taken along the China–Myanmar border, a catalytic model was used to calculate the seroconversion rate, an important indicator of malaria transmission intensity with high sensitivity, which is particularly useful in areas of low transmission. Methods Five counties in Yunnan Province bordering Myanmar were selected as survey sites, and subjects were obtained in each county by stratified random sampling in 2013–2014. Fingerstick blood was collected from each subject and tested for antibodies to P. vivax Merozoite Surface Protein 1-19 (PvMSP1-19) using indirect ELISA. A catalytic conversion model was used to assess the transmission intensity of P. vivax malaria based on the maximum likelihood of generating a community seroconversion rate. Results A total of 3064 valid blood samples were collected. Antibody levels were positively correlated with age. The seroconversion rate (SCR) values for each village were Luoping (0.0054), Jingqiao (0.0061), Longpen (0.0087), Eluo (0.0079), Banwang (0.0042) and Banbie (0.0046), respectively. Conclusion Overall, the intensity of P. vivax malaria transmission in the border areas of Yunnan Province is low and not entirely consistent across counties. Consecutive serological surveys are needed to provide a sensitive evaluation of transmission dynamics and can help to confirm areas where infection is no longer present.https://doi.org/10.1186/s12936-022-04096-8Plasmodium vivaxSurveillanceSerologySeroconversionRateTransmission intensity |
spellingShingle | Meixue Yao Lishun Xiao Xiaodong Sun Zurui Lin Xiao Hao Qiong-qiong Bai De-Hui Yin Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–Myanmar Malaria Journal Plasmodium vivax Surveillance Serology Seroconversion Rate Transmission intensity |
title | Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–Myanmar |
title_full | Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–Myanmar |
title_fullStr | Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–Myanmar |
title_full_unstemmed | Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–Myanmar |
title_short | Surveillance of Plasmodium vivax transmission using serological models in the border areas of China–Myanmar |
title_sort | surveillance of plasmodium vivax transmission using serological models in the border areas of china myanmar |
topic | Plasmodium vivax Surveillance Serology Seroconversion Rate Transmission intensity |
url | https://doi.org/10.1186/s12936-022-04096-8 |
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