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Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reser...

Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reser...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_022ea237fe554e5fa6a002ea486cf153

Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection

About this item

Full title

Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection

Publisher

England: eLife Sciences Publications Ltd

Journal title

eLife, 2013-05, Vol.2, p.e00626-e00626

Language

English

Formats

Publication information

Publisher

England: eLife Sciences Publications Ltd

More information

Scope and Contents

Contents

Transmission reduction is a key component of global efforts to control and eliminate malaria; yet, it is unclear how the density of transmission stages (gametocytes) influences infection (proportion of mosquitoes infected). Human to mosquito transmission was assessed using 171 direct mosquito feeding assays conducted in Burkina Faso and Kenya. Plas...

Alternative Titles

Full title

Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_022ea237fe554e5fa6a002ea486cf153

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_022ea237fe554e5fa6a002ea486cf153

Other Identifiers

ISSN

2050-084X

E-ISSN

2050-084X

DOI

10.7554/eLife.00626

How to access this item