Can slide positivity rates predict malaria transmission?

Yan Bi, Wenbiao Hu, Huaxin Liu, Yujiang Xiao, Yuming Guo, Shimei Chen, Laifa Zhao, Shilu Tong

Research output: Contribution to journalArticleResearchpeer-review

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Abstract

Background: Malaria is a significant threat to population health in the border areas of Yunnan Province, China. How to accurately measure malaria transmission is an important issue. This study aimed to examine the role of slide positivity rates (SPR) in malaria transmission in Mengla County, Yunnan Province, China. Methods. Data on annual malaria cases, SPR and socio-economic factors for the period of 1993 to 2008 were obtained from the Center for Disease Control and Prevention (CDC) and the Bureau of Statistics, Mengla, China. Multiple linear regression models were conducted to evaluate the relationship between socio-ecologic factors and malaria incidence. Results: The results show that SPR was significantly positively associated with the malaria incidence rates. The SPR (=1.244, p=0.000) alone and combination (SPR, =1.326, p<0.001) with other predictors can explain about 85% and 95% of variation in malaria transmission, respectively. Every 1% increase in SPR corresponded to an increase of 1.76/100,000 in malaria incidence rates. Conclusion: SPR is a strong predictor of malaria transmission, and can be used to improve the planning and implementation of malaria elimination programmes in Mengla and other similar locations. SPR might also be a useful indicator of malaria early warning systems in China.

Original languageEnglish
Article number117
Number of pages8
JournalMalaria Journal
Volume11
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • China
  • International border areas
  • Malaria elimination
  • Malaria transmission
  • Slide positivity rates

Cite this

Bi, Y., Hu, W., Liu, H., Xiao, Y., Guo, Y., Chen, S., ... Tong, S. (2012). Can slide positivity rates predict malaria transmission? Malaria Journal, 11, [117]. https://doi.org/10.1186/1475-2875-11-117
Bi, Yan ; Hu, Wenbiao ; Liu, Huaxin ; Xiao, Yujiang ; Guo, Yuming ; Chen, Shimei ; Zhao, Laifa ; Tong, Shilu. / Can slide positivity rates predict malaria transmission?. In: Malaria Journal. 2012 ; Vol. 11.
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abstract = "Background: Malaria is a significant threat to population health in the border areas of Yunnan Province, China. How to accurately measure malaria transmission is an important issue. This study aimed to examine the role of slide positivity rates (SPR) in malaria transmission in Mengla County, Yunnan Province, China. Methods. Data on annual malaria cases, SPR and socio-economic factors for the period of 1993 to 2008 were obtained from the Center for Disease Control and Prevention (CDC) and the Bureau of Statistics, Mengla, China. Multiple linear regression models were conducted to evaluate the relationship between socio-ecologic factors and malaria incidence. Results: The results show that SPR was significantly positively associated with the malaria incidence rates. The SPR (=1.244, p=0.000) alone and combination (SPR, =1.326, p<0.001) with other predictors can explain about 85{\%} and 95{\%} of variation in malaria transmission, respectively. Every 1{\%} increase in SPR corresponded to an increase of 1.76/100,000 in malaria incidence rates. Conclusion: SPR is a strong predictor of malaria transmission, and can be used to improve the planning and implementation of malaria elimination programmes in Mengla and other similar locations. SPR might also be a useful indicator of malaria early warning systems in China.",
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author = "Yan Bi and Wenbiao Hu and Huaxin Liu and Yujiang Xiao and Yuming Guo and Shimei Chen and Laifa Zhao and Shilu Tong",
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Bi, Y, Hu, W, Liu, H, Xiao, Y, Guo, Y, Chen, S, Zhao, L & Tong, S 2012, 'Can slide positivity rates predict malaria transmission?', Malaria Journal, vol. 11, 117. https://doi.org/10.1186/1475-2875-11-117

Can slide positivity rates predict malaria transmission? / Bi, Yan; Hu, Wenbiao; Liu, Huaxin; Xiao, Yujiang; Guo, Yuming; Chen, Shimei; Zhao, Laifa; Tong, Shilu.

In: Malaria Journal, Vol. 11, 117, 2012.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Can slide positivity rates predict malaria transmission?

AU - Bi, Yan

AU - Hu, Wenbiao

AU - Liu, Huaxin

AU - Xiao, Yujiang

AU - Guo, Yuming

AU - Chen, Shimei

AU - Zhao, Laifa

AU - Tong, Shilu

PY - 2012

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N2 - Background: Malaria is a significant threat to population health in the border areas of Yunnan Province, China. How to accurately measure malaria transmission is an important issue. This study aimed to examine the role of slide positivity rates (SPR) in malaria transmission in Mengla County, Yunnan Province, China. Methods. Data on annual malaria cases, SPR and socio-economic factors for the period of 1993 to 2008 were obtained from the Center for Disease Control and Prevention (CDC) and the Bureau of Statistics, Mengla, China. Multiple linear regression models were conducted to evaluate the relationship between socio-ecologic factors and malaria incidence. Results: The results show that SPR was significantly positively associated with the malaria incidence rates. The SPR (=1.244, p=0.000) alone and combination (SPR, =1.326, p<0.001) with other predictors can explain about 85% and 95% of variation in malaria transmission, respectively. Every 1% increase in SPR corresponded to an increase of 1.76/100,000 in malaria incidence rates. Conclusion: SPR is a strong predictor of malaria transmission, and can be used to improve the planning and implementation of malaria elimination programmes in Mengla and other similar locations. SPR might also be a useful indicator of malaria early warning systems in China.

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