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Assessing the burden of pregnancy-associated malaria under changing transmission settings.


ABSTRACT:

Background

The clinical presentation of pregnancy-associated malaria, or PAM, depends crucially on the particular epidemiological settings. This can potentially lead to an underestimation of its overall burden on the female population, especially in regions prone to epidemic outbreaks and where malaria transmission is generally low.

Methods

Here, by re-examining historical data, it is demonstrated how excess female mortality can be used to evaluate the burden of PAM. A simple mathematical model is then developed to highlight the contrasting signatures of PAM within the endemicity spectrum and to show how PAM is influenced by the intensity and stability of transmission.

Results

Both the data and the model show that maternal malaria has a huge impact on the female population. This is particularly pronounced in low-transmission settings during epidemic outbreaks where excess female mortality/morbidity can by far exceed that of a similar endemic setting.

Conclusion

The results presented here call for active intervention measures not only in highly endemic regions but also, or in particular, in areas where malaria transmission is low and seasonal.

SUBMITTER: Recker M 

PROVIDER: S-EPMC2774336 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature

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Publications

Assessing the burden of pregnancy-associated malaria under changing transmission settings.

Recker Mario M   Bouma Menno J MJ   Bamford Paul P   Gupta Sunetra S   Dobson Andy P AP  

Malaria journal 20091028


<h4>Background</h4>The clinical presentation of pregnancy-associated malaria, or PAM, depends crucially on the particular epidemiological settings. This can potentially lead to an underestimation of its overall burden on the female population, especially in regions prone to epidemic outbreaks and where malaria transmission is generally low.<h4>Methods</h4>Here, by re-examining historical data, it is demonstrated how excess female mortality can be used to evaluate the burden of PAM. A simple math  ...[more]

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