Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models
Asymptomatic carriage of malaria parasites is common in high transmission intensity areas and confounds clinical case definitions for research studies. This is important for investigations that aim to identify immune correlates of protection from clinical malaria. The proportion of fevers attributab...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
11 November 2022
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| In: |
Malaria journal
Year: 2022, Volume: 21, Pages: 1-10 |
| ISSN: | 1475-2875 |
| DOI: | 10.1186/s12936-022-04346-9 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12936-022-04346-9
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| Author Notes: | Kennedy Mwai, Irene Nkumama, Amos Thairu, James Mburu, Dennis Odera, Rinter Kimathi, Lydia Nyamako, James Tuju, Samson Kinyanjui, Eustasius Musenge and Faith Osier |
| Summary: | Asymptomatic carriage of malaria parasites is common in high transmission intensity areas and confounds clinical case definitions for research studies. This is important for investigations that aim to identify immune correlates of protection from clinical malaria. The proportion of fevers attributable to malaria parasites is widely used to define different thresholds of parasite density associated with febrile episodes. The varying intensity of malaria transmission was investigated to check whether it had a significant impact on the parasite density thresholds. The same dataset was used to explore an alternative statistical approach, using the probability of developing fevers as a choice over threshold cut-offs. The former has been reported to increase predictive power. |
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| Item Description: | Gesehen am 11.01.2023 |
| Physical Description: | Online Resource |
| ISSN: | 1475-2875 |
| DOI: | 10.1186/s12936-022-04346-9 |