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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Main Authors: Meixue Yao, Lishun Xiao, Xiaodong Sun, Zurui Lin, Xiao Hao, Qiong-qiong Bai, De-Hui Yin
Format: Article
Language:English
Published: BMC 2022-03-01
Series:Malaria Journal
Subjects:
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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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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