Literature DB >> 28003280

Malaria Modeling in the Era of Eradication.

Thomas A Smith1, Nakul Chitnis1, Melissa Penny1, Marcel Tanner1.   

Abstract

Mathematical models provide the essential basis of rational research and development strategies in malaria, informing the choice of which technologies to target, which deployment strategies to consider, and which populations to focus on. The Internet and remote sensing technologies also enable assembly of ever more relevant field data. Together with supercomputing technology, this has made available timely descriptions of the geography of malaria transmission and disease across the world and made it possible for policy and planning to be informed by detailed simulations of the potential impact of intervention programs. These information technology advances do not replace the basic understanding of the dynamics of malaria transmission that should be embedded in the thinking of anyone planning malaria interventions. The appropriate use of modeling may determine whether we are living in an era of hubris or indeed in an age of eradication.
Copyright © 2017 Cold Spring Harbor Laboratory Press; all rights reserved.

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Year:  2017        PMID: 28003280      PMCID: PMC5378013          DOI: 10.1101/cshperspect.a025460

Source DB:  PubMed          Journal:  Cold Spring Harb Perspect Med        ISSN: 2157-1422            Impact factor:   6.915


  7 in total

1.  Dynamical malaria modeling as a tool for bold policy-making.

Authors:  James K Tibenderana; Emilie Pothin; Branwen Nia Owen; Munir Winkel; Craig Bonnington; Anthony Nuwa; Jane Achan; Jimmy Opigo
Journal:  Nat Med       Date:  2022-04       Impact factor: 87.241

2.  Abelson Kinases Mediate the Depression of Spontaneous Synaptic Activity Induced by Amyloid Beta 1-42 Peptides.

Authors:  M Reichenstein; N Borovok; A Sheinin; T Brider; I Michaelevski
Journal:  Cell Mol Neurobiol       Date:  2020-05-12       Impact factor: 5.046

3.  The portfolio effect cushions mosquito populations and malaria transmission against vector control interventions.

Authors:  Gerry F Killeen; Thomas E Reed
Journal:  Malar J       Date:  2018-08-10       Impact factor: 2.979

4.  Modelling the epidemiology of residual Plasmodium vivax malaria in a heterogeneous host population: A case study in the Amazon Basin.

Authors:  Rodrigo M Corder; Marcelo U Ferreira; M Gabriela M Gomes
Journal:  PLoS Comput Biol       Date:  2020-03-13       Impact factor: 4.475

Review 5.  Development and dissemination of infectious disease dynamic transmission models during the COVID-19 pandemic: what can we learn from other pathogens and how can we move forward?

Authors:  Alexander D Becker; Kyra H Grantz; Sonia T Hegde; Sophie Bérubé; Derek A T Cummings; Amy Wesolowski
Journal:  Lancet Digit Health       Date:  2020-12-07

6.  Assessing Strategies Against Gambiense Sleeping Sickness Through Mathematical Modeling.

Authors:  Kat S Rock; Martial L Ndeffo-Mbah; Soledad Castaño; Cody Palmer; Abhishek Pandey; Katherine E Atkins; Joseph M Ndung'u; T Déirdre Hollingsworth; Alison Galvani; Caitlin Bever; Nakul Chitnis; Matt J Keeling
Journal:  Clin Infect Dis       Date:  2018-06-01       Impact factor: 9.079

7.  Signaling via the p75 neurotrophin receptor facilitates amyloid-β-induced dendritic spine pathology.

Authors:  Abhisarika Patnaik; Marta Zagrebelsky; Martin Korte; Andreas Holz
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.379

  7 in total

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