Cited by 124

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Estimating the most efficient allocation of interventions to achieve reductions in Plasmodium falciparum malaria burden and transmission in Africa: a modelling study

Walker, Patrick G T, Griffin, Jamie T, Ferguson, Neil M, Ghani, Azra C·2016·The Lancet Global Health

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s2214-109x(16)30073-0

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 23

  1. Alonso, 2013, Public health challenges and prospects for malaria control and elimination, Nat Med, 19, 150, 10.1038/nm.3077 · DOI
  2. Bousema, 2012, Hitting hotspots: spatial targeting of malaria for control and elimination, PLoS Med, 9, e1001165, 10.1371/journal.pmed.1001165 · DOI
  3. Gething, 2011, A new world malaria map: Plasmodium falciparum endemicity in 2010, Malar J, 10, 378, 10.1186/1475-2875-10-378 · DOI
  4. Morel, 2005, Cost effectiveness analysis of strategies to combat malaria in developing countries, BMJ, 331, 1299, 10.1136/bmj.38639.702384.AE · DOI
  5. Okell, 2014, Contrasting benefits of different artemisinin combination therapies as first-line malaria treatments using model-based cost-effectiveness analysis, Nat Commun, 5, 5606, 10.1038/ncomms6606 · DOI
  6. Stuckey, 2014, Modeling the cost effectiveness of malaria control interventions in the highlands of western Kenya, PLoS One, 9, e107700, 10.1371/journal.pone.0107700 · DOI
  7. Parham, 2015, Climate influences on the cost-effectiveness of vector-based interventions against malaria in elimination scenarios, Philos Trans R Soc Lond B Biol Sci, 370, 20130557, 10.1098/rstb.2013.0557 · DOI
  8. Enserink, 2014, After the windfall, Science, 345, 1258, 10.1126/science.345.6202.1258 · DOI
  9. Griffin, 2014, Estimates of the changing age-burden of Plasmodium falciparum malaria disease in sub-Saharan Africa, Nat Commun, 5, 3136, 10.1038/ncomms4136 · DOI
  10. Touré, 2007, Effectiveness of permanet in Côte d'Ivoire rural areas and residual activity on a knockdown-resistant strain of Anopheles gambiae, J Med Entomol, 44, 498
  11. Rowland, 2013, A new long-lasting indoor residual formulation of the organophosphate insecticide pirimiphos methyl for prolonged control of pyrethroid-resistant mosquitoes: an experimental hut trial in Benin, PLoS One, 8, e69516, 10.1371/journal.pone.0069516 · DOI
  12. Cairns, 2008, Duration of protection against malaria and anaemia provided by intermittent preventive treatment in infants in Navrongo, Ghana, PLoS One, 3, 9, 10.1371/journal.pone.0002227 · DOI
  13. Wu, 2015, Comparison of diagnostics for the detection of asymptomatic Plasmodium falciparum infections to inform control and elimination strategies, Nature, 528, S86, 10.1038/nature16039 · DOI
  14. Wafula, 2013, Regional and temporal trends in malaria commodity costs: an analysis of Global Fund data for 79 countries, Malar J, 12, 466, 10.1186/1475-2875-12-466 · DOI
  15. White, 2011, Costs and cost-effectiveness of malaria control interventions: a systematic review, Malar J, 10, 337, 10.1186/1475-2875-10-337 · DOI
  16. Crowell, 2013, Modelling the cost-effectiveness of mass screening and treatment for reducing Plasmodium falciparum malaria burden, Malar J, 12, 4, 10.1186/1475-2875-12-4 · DOI
  17. Sinka, 2012, A global map of dominant malaria vectors, Parasit Vectors, 5, 69, 10.1186/1756-3305-5-69 · DOI
  18. Drakeley, 2000, Estimates of the infectious reservoir of Plasmodium falciparum malaria in The Gambia and in Tanzania, Trans R Soc Trop Med Hyg, 94, 472, 10.1016/S0035-9203(00)90056-7 · DOI
  19. Abba, 2011, Rapid diagnostic tests for diagnosing uncomplicated P falciparum malaria in endemic countries, Cochrane Database Syst Rev, 7
  20. Okell, 2011, The potential contribution of mass treatment to the control of Plasmodium falciparum malaria, PLoS One, 6, e20179, 10.1371/journal.pone.0020179 · DOI
  21. Dondorp, 2010, Artemisinin resistance: current status and scenarios for containment, Nat Rev Microbiol, 8, 272, 10.1038/nrmicro2331 · DOI
  22. Gatton, 2013, The importance of mosquito behavioural adaptations to malaria control in Africa, Evolution, 67, 1218, 10.1111/evo.12063 · DOI · Paper page
  23. Derua, 2012, Change in composition of the Anopheles gambiae complex and its possible implications for the transmission of malaria and lymphatic filariasis in north-eastern Tanzania, Malar J, 11, 188, 10.1186/1475-2875-11-188 · DOI

Cited by

Sorted by citations

Metadata

Authors
Walker, P. G. T., Griffin, J. T., Ferguson, N. M., & Ghani, A. C.
Venue
The Lancet Global Health
Publisher
Elsevier BV
Published
2016-07
Volume
4
Issue
7
Pages
e474-e484
ISSN
2214-109X
Cited by
124
References
4
Language
en
Funders
  • UK Medical Research Council (MRC)
  • UK Department for International Development (DFID)
  • National Institute for General Medical Sciences MIDAS initiative
  • Bill & Melinda Gates Foundation
  • MRC
  • MRC Centre for Outbreak Analysis and Modelling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review