Literature DB >> 24724278

Can Horton hear the whos? The importance of scale in mosquito-borne disease.

C C Lord, B W Alto, S L Anderson, C R Connelly, J F Day, S L Richards, C T Smartt, W J Tabachnick.   

Abstract

The epidemiology of vector-borne pathogens is determined by mechanisms and interactions at different scales of biological organization, from individual-level cellular processes to community interactions between species and with the environment. Most research, however, focuses on one scale or level with little integration between scales or levels within scales. Understanding the interactions between levels and how they influence our perception of vector-borne pathogens is critical. Here two examples of biological scales (pathogen transmission and mosquito mortality) are presented to illustrate some of the issues of scale and to explore how processes on different levels may interact to influence mosquito-borne pathogen transmission cycles. Individual variation in survival, vector competence, and other traits affect population abundance, transmission potential, and community structure. Community structure affects interactions between individuals such as competition and predation, and thus influences the individual-level dynamics and transmission potential. Modeling is a valuable tool to assess interactions between scales and how processes at different levels can affect transmission dynamics. We expand an existing model to illustrate the types of studies needed, showing that individual-level variation in viral dose acquired or needed for infection can influence the number of infectious vectors. It is critical that interactions within and among biological scales and levels of biological organization are understood for greater understanding of pathogen transmission with the ultimate goal of improving control of vector-borne pathogens.

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Year:  2014        PMID: 24724278      PMCID: PMC5027650          DOI: 10.1603/me11168

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  155 in total

1.  Blood meal induces global changes in midgut gene expression in the disease vector, Aedes aegypti.

Authors:  Heather R Sanders; Amy M Evans; Linda S Ross; Sarjeet S Gill
Journal:  Insect Biochem Mol Biol       Date:  2003-11       Impact factor: 4.714

2.  Interference competition and species coexistence.

Authors:  Priyanga Amarasekare
Journal:  Proc Biol Sci       Date:  2002-12-22       Impact factor: 5.349

Review 3.  Effects of species diversity on disease risk.

Authors:  F Keesing; R D Holt; R S Ostfeld
Journal:  Ecol Lett       Date:  2006-04       Impact factor: 9.492

4.  Mosquitoes do senesce: departure from the paradigm of constant mortality.

Authors:  Linda M Styer; James R Carey; Jane-Ling Wang; Thomas W Scott
Journal:  Am J Trop Med Hyg       Date:  2007-01       Impact factor: 2.345

5.  [Detection and typing of dengue viruses in Aedes aegypti (Diptera: Culicidae) in the City of Manaus, State of Amazonas].

Authors:  Cristóvão Alves da Costa; Ilia Gilmara Carvalho Dos Santos; Maria da Graça Barbosa
Journal:  Rev Soc Bras Med Trop       Date:  2009 Nov-Dec       Impact factor: 1.581

6.  Can pesticides and larval competition alter susceptibility of Aedes mosquitoes (Diptera: Culicidae) to arbovirus infection?

Authors:  Ephantus J Muturi; Katie Costanzo; Banugopan Kesavaraju; Barry W Alto
Journal:  J Med Entomol       Date:  2011-03       Impact factor: 2.278

7.  Effect of temperature on Culex tarsalis (Diptera: Culicidae) from the Coachella and San Joaquin Valleys of California.

Authors:  W K Reisen
Journal:  J Med Entomol       Date:  1995-09       Impact factor: 2.278

8.  A general model for the African trypanosomiases.

Authors:  D J Rogers
Journal:  Parasitology       Date:  1988-08       Impact factor: 3.234

Review 9.  Species interactions among larval mosquitoes: context dependence across habitat gradients.

Authors:  Steven A Juliano
Journal:  Annu Rev Entomol       Date:  2009       Impact factor: 19.686

10.  The Aedes aegypti toll pathway controls dengue virus infection.

Authors:  Zhiyong Xi; Jose L Ramirez; George Dimopoulos
Journal:  PLoS Pathog       Date:  2008-07-04       Impact factor: 6.823

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  5 in total

1.  Detrimental effects of a failed infection by a co-invasive parasite on a native congeneric parasite and its native host.

Authors:  K M McIntire; S A Juliano
Journal:  Biol Invasions       Date:  2021-02-05       Impact factor: 3.133

2.  How do noncompetent hosts cause dilution of parasitism? Testing hypotheses for native and invasive mosquitoes.

Authors:  Kristina M McIntire; Kasie M Chappell; Steven A Juliano
Journal:  Ecology       Date:  2021-08-25       Impact factor: 6.431

3.  Effects of Scale on Modeling West Nile Virus Disease Risk.

Authors:  Johnny A Uelmen; Patrick Irwin; Dan Bartlett; William Brown; Surendra Karki; Marilyn O'Hara Ruiz; Jennifer Fraterrigo; Bo Li; Rebecca L Smith
Journal:  Am J Trop Med Hyg       Date:  2021-01       Impact factor: 3.707

4.  A combined within-host and between-hosts modelling framework for the evolution of resistance to antimalarial drugs.

Authors:  Mathieu Legros; Sebastian Bonhoeffer
Journal:  J R Soc Interface       Date:  2016-04-13       Impact factor: 4.118

5.  Patterns of mosquito and arbovirus community composition and ecological indexes of arboviral risk in the northeast United States.

Authors:  Joseph R McMillan; Philip M Armstrong; Theodore G Andreadis
Journal:  PLoS Negl Trop Dis       Date:  2020-02-24
  5 in total

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