Literature DB >> 26474512

From within host dynamics to the epidemiology of infectious disease: Scientific overview and challenges.

Juan B Gutierrez1, Mary R Galinski2, Stephen Cantrell3, Eberhard O Voit4.   

Abstract

Since their earliest days, humans have been struggling with infectious diseases. Caused by viruses, bacteria, protozoa, or even higher organisms like worms, these diseases depend critically on numerous intricate interactions between parasites and hosts, and while we have learned much about these interactions, many details are still obscure. It is evident that the combined host-parasite dynamics constitutes a complex system that involves components and processes at multiple scales of time, space, and biological organization. At one end of this hierarchy we know of individual molecules that play crucial roles for the survival of a parasite or for the response and survival of its host. At the other end, one realizes that the spread of infectious diseases by far exceeds specific locales and, due to today's easy travel of hosts carrying a multitude of organisms, can quickly reach global proportions. The community of mathematical modelers has been addressing specific aspects of infectious diseases for a long time. Most of these efforts have focused on one or two select scales of a multi-level disease and used quite different computational approaches. This restriction to a molecular, physiological, or epidemiological level was prudent, as it has produced solid pillars of a foundation from which it might eventually be possible to launch comprehensive, multi-scale modeling efforts that make full use of the recent advances in biology and, in particular, the various high-throughput methodologies accompanying the emerging -omics revolution. This special issue contains contributions from biologists and modelers, most of whom presented and discussed their work at the workshop From within Host Dynamics to the Epidemiology of Infectious Disease, which was held at the Mathematical Biosciences Institute at Ohio State University in April 2014. These contributions highlight some of the forays into a deeper understanding of the dynamics between parasites and their hosts, and the consequences of this dynamics for the spread and treatment of infectious diseases.
Copyright © 2015. Published by Elsevier Inc.

Entities:  

Keywords:  Epidemiology; Host–parasite interactions; Infectious diseases; Malaria; Modeling; Systems biology

Mesh:

Year:  2015        PMID: 26474512      PMCID: PMC4607538          DOI: 10.1016/j.mbs.2015.10.002

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  140 in total

1.  Bivariate spline solution of time dependent nonlinear PDE for a population density over irregular domains.

Authors:  Juan B Gutierrez; Ming-Jun Lai; George Slavov
Journal:  Math Biosci       Date:  2015-09-08       Impact factor: 2.144

2.  Estimating epidemic parameters: Application to H1N1 pandemic data.

Authors:  Elissa J Schwartz; Boseung Choi; Grzegorz A Rempala
Journal:  Math Biosci       Date:  2015-04-02       Impact factor: 2.144

3.  Coupled within-host and between-host dynamics and evolution of virulence.

Authors:  Zhilan Feng; Xiuli Cen; Yulin Zhao; Jorge X Velasco-Hernandez
Journal:  Math Biosci       Date:  2015-03-04       Impact factor: 2.144

Review 4.  Membrane transport in the malaria parasite and its host erythrocyte.

Authors:  Kiaran Kirk; Adele M Lehane
Journal:  Biochem J       Date:  2014-01-01       Impact factor: 3.857

Review 5.  Red blood cell polymorphism and susceptibility to Plasmodium vivax.

Authors:  Peter A Zimmerman; Marcelo U Ferreira; Rosalind E Howes; Odile Mercereau-Puijalon
Journal:  Adv Parasitol       Date:  2013       Impact factor: 3.870

Review 6.  The complexities of malaria disease manifestations with a focus on asymptomatic malaria.

Authors:  Dolie D Laishram; Patrick L Sutton; Nutan Nanda; Vijay L Sharma; Ranbir C Sobti; Jane M Carlton; Hema Joshi
Journal:  Malar J       Date:  2012-01-31       Impact factor: 2.979

Review 7.  Drug resistance genomics of the antimalarial drug artemisinin.

Authors:  Elizabeth A Winzeler; Micah J Manary
Journal:  Genome Biol       Date:  2014-11-25       Impact factor: 13.583

8.  A genome wide association study of Plasmodium falciparum susceptibility to 22 antimalarial drugs in Kenya.

Authors:  Jason P Wendler; John Okombo; Roberto Amato; Olivo Miotto; Steven M Kiara; Leah Mwai; Lewa Pole; John O'Brien; Magnus Manske; Dan Alcock; Eleanor Drury; Mandy Sanders; Samuel O Oyola; Cinzia Malangone; Dushyanth Jyothi; Alistair Miles; Kirk A Rockett; Bronwyn L MacInnis; Kevin Marsh; Philip Bejon; Alexis Nzila; Dominic P Kwiatkowski
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

9.  The diminishing returns of atovaquone-proguanil for elimination of Plasmodium falciparum malaria: modelling mass drug administration and treatment.

Authors:  Richard J Maude; Chea Nguon; Arjen M Dondorp; Lisa J White; Nicholas J White
Journal:  Malar J       Date:  2014-09-24       Impact factor: 2.979

10.  Interactive transcriptome analysis of malaria patients and infecting Plasmodium falciparum.

Authors:  Junya Yamagishi; Anna Natori; Mohammed E M Tolba; Arthur E Mongan; Chihiro Sugimoto; Toshiaki Katayama; Shuichi Kawashima; Wojciech Makalowski; Ryuichiro Maeda; Yuki Eshita; Josef Tuda; Yutaka Suzuki
Journal:  Genome Res       Date:  2014-08-04       Impact factor: 9.043

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  13 in total

1.  Multiscale model within-host and between-host for viral infectious diseases.

Authors:  Alexis Erich S Almocera; Van Kinh Nguyen; Esteban A Hernandez-Vargas
Journal:  J Math Biol       Date:  2018-05-08       Impact factor: 2.259

2.  A reaction-diffusion malaria model with seasonality and incubation period.

Authors:  Zhenguo Bai; Rui Peng; Xiao-Qiang Zhao
Journal:  J Math Biol       Date:  2017-11-29       Impact factor: 2.259

3.  Metabolic modeling helps interpret transcriptomic changes during malaria.

Authors:  Yan Tang; Anuj Gupta; Swetha Garimalla; Mary R Galinski; Mark P Styczynski; Luis L Fonseca; Eberhard O Voit
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2017-10-22       Impact factor: 5.187

Review 4.  Systems biology of malaria explored with nonhuman primates.

Authors:  Mary R Galinski
Journal:  Malar J       Date:  2022-06-07       Impact factor: 3.469

5.  Comparison of mathematical frameworks for modeling erythropoiesis in the context of malaria infection.

Authors:  Luis L Fonseca; Eberhard O Voit
Journal:  Math Biosci       Date:  2015-09-08       Impact factor: 2.144

6.  An Epidemiological Model of Malaria Accounting for Asymptomatic Carriers.

Authors:  Jacob B Aguilar; Juan B Gutierrez
Journal:  Bull Math Biol       Date:  2020-03-14       Impact factor: 1.758

Review 7.  Systems Biology-Based Investigation of Host-Plasmodium Interactions.

Authors:  Maren L Smith; Mark P Styczynski
Journal:  Trends Parasitol       Date:  2018-05-18

Review 8.  Dendritic Cells and Leishmania Infection: Adding Layers of Complexity to a Complex Disease.

Authors:  Daniel Feijó; Rafael Tibúrcio; Mariana Ampuero; Cláudia Brodskyn; Natalia Tavares
Journal:  J Immunol Res       Date:  2016-01-19       Impact factor: 4.818

9.  A model of Plasmodium vivax concealment based on Plasmodium cynomolgi infections in Macaca mulatta.

Authors:  Luis L Fonseca; Chester J Joyner; Mary R Galinski; Eberhard O Voit
Journal:  Malar J       Date:  2017-09-18       Impact factor: 2.979

10.  Micro-epidemiology of mixed-species malaria infections in a rural population living in the Colombian Amazon region.

Authors:  Milena Camargo; Sara C Soto-De León; Luisa Del Río-Ospina; Astrid C Páez; Zanony González; Edgardo González; Juan R Cubides; Paola A Camargo-Ayala; Manuel E Patarroyo; Manuel A Patarroyo
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

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