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Complementarity of empirical and process-based approaches to modelling mosquito population dynamics...

Complementarity of empirical and process-based approaches to modelling mosquito population dynamics...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2340245011

Complementarity of empirical and process-based approaches to modelling mosquito population dynamics with Aedes albopictus as an example—Application to the development of an operational mapping tool of vector populations

About this item

Full title

Complementarity of empirical and process-based approaches to modelling mosquito population dynamics with Aedes albopictus as an example—Application to the development of an operational mapping tool of vector populations

Publisher

United States: Public Library of Science

Journal title

PloS one, 2020-01, Vol.15 (1), p.e0227407-e0227407

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Mosquitoes are responsible for the transmission of major pathogens worldwide. Modelling their population dynamics and mapping their distribution can contribute effectively to disease surveillance and control systems. Two main approaches are classically used to understand and predict mosquito abundance in space and time, namely empirical (or statist...

Alternative Titles

Full title

Complementarity of empirical and process-based approaches to modelling mosquito population dynamics with Aedes albopictus as an example—Application to the development of an operational mapping tool of vector populations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2340245011

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2340245011

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0227407

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