Literature DB >> 20089198

Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East.

Michelle G Colacicco-Mayhugh1, Penny M Masuoka, John P Grieco.   

Abstract

BACKGROUND: The purpose of this study is to create distribution models of two sand fly species, Phlebotomus papatasi (Scopoli) and P. alexandri (Sinton), across the Middle East. Phlebotomus alexandri is a vector of visceral leishmaniasis, while P. papatasi is a vector of cutaneous leishmaniasis and sand fly fever. Collection records were obtained from literature reports from 1950 through 2007 and unpublished field collection records. Environmental layers considered in the model were elevation, precipitation, land cover, and WorldClim bioclimatic variables. Models were evaluated using the threshold-independent area under the curve (AUC) receiver operating characteristic analysis and the threshold-dependent minimum training presence.
RESULTS: For both species, land cover was the most influential environmental layer in model development. The bioclimatic and elevation variables all contributed to model development; however, none influenced the model as strongly as land cover.
CONCLUSION: While not perfect representations of the absolute distribution of P. papatasi and P. alexandri, these models indicate areas with a higher probability of presence of these species. This information could be used to help guide future research efforts into the ecology of these species and epidemiology of the pathogens that they transmit.

Entities:  

Mesh:

Year:  2010        PMID: 20089198      PMCID: PMC2823717          DOI: 10.1186/1476-072X-9-2

Source DB:  PubMed          Journal:  Int J Health Geogr        ISSN: 1476-072X            Impact factor:   3.918


  22 in total

Review 1.  [The subgenus Paraphlebotomus (Phlebotomus--Phlebotominae-- Psychodidae--Diptera): a review. Morphological and molecular studies].

Authors:  J Depaquit; H Ferté; N Léger
Journal:  Ann Pharm Fr       Date:  2000-10

2.  Risk zones of human Leishmaniases in the Western Mediterranean basin: correlations between vector sand flies, bioclimatology and phytosociology.

Authors:  Philippe Rispail; Jacques Dereure; Daniel Jarry
Journal:  Mem Inst Oswaldo Cruz       Date:  2002-06       Impact factor: 2.743

3.  Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species.

Authors:  A Townsend Peterson; Ricardo Scachetti Pereira; Vera Fonseca de Camargo Neves
Journal:  Rev Soc Bras Med Trop       Date:  2004-03-19       Impact factor: 1.581

Review 4.  Lutzomyia (Nyssomyia) whitmani s.l . (Antunes & Coutinho, 1939)(Diptera: Psychodidae: Phlebotominae): geographical distribution and the epidemiology of American cutaneous leishmaniasis in Brazil--mini-review.

Authors:  Simone M da Costa; Michela Cechinel; Valdenir Bandeira; José C Zannuncio; Ralph Lainson; Elizabeth F Rangel
Journal:  Mem Inst Oswaldo Cruz       Date:  2007-05       Impact factor: 2.743

5.  Ecologic niche modeling and differentiation of populations of Triatoma brasiliensis neiva, 1911, the most important Chagas' disease vector in northeastern Brazil (hemiptera, reduviidae, triatominae).

Authors:  Jane Costa; A Townsend Peterson; C Ben Beard
Journal:  Am J Trop Med Hyg       Date:  2002-11       Impact factor: 2.345

6.  The ecology of cutaneous leishmaniasis in Nizzana, Israel: infection patterns in the reservoir host, and epidemiological implications.

Authors:  G Wasserberg; Z Abramsky; G Anders; M El-Fari; G Schoenian; L Schnur; B P Kotler; I Kabalo; A Warburg
Journal:  Int J Parasitol       Date:  2002-02       Impact factor: 3.981

7.  Seasonal abundance patterns of the sandfly Phlebotomus papatasi in climatically distinct foci of cutaneous leishmaniasis in Israeli deserts.

Authors:  G Wasserberg; I Yarom; A Warburg
Journal:  Med Vet Entomol       Date:  2003-12       Impact factor: 2.739

8.  Geographic and ecologic distributions of the Anopheles gambiae complex predicted using a genetic algorithm.

Authors:  Rebecca S Levine; A Townsend Peterson; Mark Q Benedict
Journal:  Am J Trop Med Hyg       Date:  2004-02       Impact factor: 2.345

9.  Human zoonotic cutaneous leishmaniasis and associated sand flies (Diptera: Psychodidae) in Sheikh Atiya village, southern Sinai, Egypt.

Authors:  Hany A Kamal; Said A Doha; Shaaban S El-Hosary; Magdi G Shehata; Bahira M El Sawaf
Journal:  J Egypt Soc Parasitol       Date:  2003-12

10.  Lutzomyia vectors for cutaneous leishmaniasis in Southern Brazil: ecological niche models, predicted geographic distributions, and climate change effects.

Authors:  A Townsend Peterson; Jeffrey Shaw
Journal:  Int J Parasitol       Date:  2003-08       Impact factor: 3.981

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  20 in total

1.  Ecological niche modelling of potential West Nile virus vector mosquito species and their geographical association with equine epizootics in Italy.

Authors:  Lapo Mughini-Gras; Paolo Mulatti; Francesco Severini; Daniela Boccolini; Roberto Romi; Gioia Bongiorno; Cristina Khoury; Riccardo Bianchi; Fabrizio Montarsi; Tommaso Patregnani; Lebana Bonfanti; Giovanni Rezza; Gioia Capelli; Luca Busani
Journal:  Ecohealth       Date:  2013-10-12       Impact factor: 3.184

Review 2.  Emerging and threatening vector-borne zoonoses in the world and in Europe: a brief update.

Authors:  Eva Jánová
Journal:  Pathog Glob Health       Date:  2019-03-27       Impact factor: 2.894

3.  Quantitative and Qualitative Costs of Autogeny in Phlebotomus papatasi (Diptera: Psychodidae) Sand Flies.

Authors:  Tatsiana Shymanovich; Nima Hajhashemi; Gideon Wasserberg
Journal:  J Med Entomol       Date:  2020-05-04       Impact factor: 2.278

4.  Geographic distribution of phlebotomine sandfly species (Diptera: Psychodidae) in Central-West Brazil.

Authors:  Paulo Silva de Almeida; Andrey José de Andrade; Alan Sciamarelli; Josué Raizer; Jaqueline Aparecida Menegatti; Sandra Cristina Negreli Moreira Hermes; Maria do Socorro Laurentino de Carvalho; Rodrigo Gurgel-Gonçalves
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-05-26       Impact factor: 2.743

5.  Catalogue of the Diptera (Insecta) of Morocco- an annotated checklist, with distributions and a bibliography.

Authors:  Kawtar Kettani; Martin J Ebejer; David M Ackland; Gerhard Bächli; David Barraclough; Miroslav Barták; Miguel Carles-Tolrá; Milos Černý; Pierfilippo Cerretti; Peter Chandler; Mohamed Dakki; Christophe Daugeron; Herman De Jong; Josef Dils; Henry Disney; Boris Droz; Neal Evenhuis; Paul Gatt; Gustavo Graciolli; Igor Y Grichanov; Jean-Paul Haenni; Martin Hauser; Oumnia Himmi; Iain MacGowan; Bruno Mathieu; Mohamed Mouna; Lorenzo Munari; Emilia P Nartshuk; Oleg P Negrobov; Pjotr Oosterbroek; Thomas Pape; Adrian C Pont; Grigory V Popov; Knut Rognes; Marcela Skuhravá; Vaclav Skuhravý; Martin Speight; Guy Tomasovic; Bouchra Trari; Hans-Peter Tschorsnig; Jean-Claude Vala; Michael von Tschirnhaus; Rüdiger Wagner; Daniel Whitmore; Andrzej J Woźnica; Tadeusz Zatwarnicki; Peter Zwick
Journal:  Zookeys       Date:  2022-04-12       Impact factor: 1.492

Review 6.  The AFHSC-Division of GEIS Operations Predictive Surveillance Program: a multidisciplinary approach for the early detection and response to disease outbreaks.

Authors:  Clara J Witt; Allen L Richards; Penny M Masuoka; Desmond H Foley; Anna L Buczak; Lillian A Musila; Jason H Richardson; Michelle G Colacicco-Mayhugh; Leopoldo M Rueda; Terry A Klein; Assaf Anyamba; Jennifer Small; Julie A Pavlin; Mark M Fukuda; Joel Gaydos; Kevin L Russell; Richard C Wilkerson; Robert V Gibbons; Richard G Jarman; Khin S Myint; Brian Pendergast; Sheri Lewis; Jorge E Pinzon; Kathrine Collins; Matthew Smith; Edwin Pak; Compton Tucker; Kenneth Linthicum; Todd Myers; Moustafa Mansour; Ken Earhart; Heung Chul Kim; Ju Jiang; Dave Schnabel; Jeffrey W Clark; Rosemary C Sang; Elizabeth Kioko; David C Abuom; John P Grieco; Erin E Richards; Steven Tobias; Matthew R Kasper; Joel M Montgomery; Dave Florin; Jean-Paul Chretien; Trudy L Philip
Journal:  BMC Public Health       Date:  2011-03-04       Impact factor: 3.295

7.  Combining climatic projections and dispersal ability: a method for estimating the responses of sandfly vector species to climate change.

Authors:  Dominik Fischer; Philipp Moeller; Stephanie M Thomas; Torsten J Naucke; Carl Beierkuhnlein
Journal:  PLoS Negl Trop Dis       Date:  2011-11-29

8.  Role of remote sensing, geographical information system (GIS) and bioinformatics in kala-azar epidemiology.

Authors:  Gouri Sankar Bhunia; Manas Ranjan Dikhit; Shreekant Kesari; Ganesh Chandra Sahoo; Pradeep Das
Journal:  J Biomed Res       Date:  2011-11

9.  Where have all the mosquito nets gone? Spatial modelling reveals mosquito net distributions across Tanzania do not target optimal Anopheles mosquito habitats.

Authors:  Emily S Acheson; Andrew A Plowright; Jeremy T Kerr
Journal:  Malar J       Date:  2015-08-19       Impact factor: 2.979

10.  Current and future niche of North and Central American sand flies (Diptera: psychodidae) in climate change scenarios.

Authors:  David Moo-Llanes; Carlos N Ibarra-Cerdeña; Eduardo A Rebollar-Téllez; Sergio Ibáñez-Bernal; Camila González; Janine M Ramsey
Journal:  PLoS Negl Trop Dis       Date:  2013-09-19
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