Literature DB >> 18819668

Leishmaniasis emergence and climate change.

P D Ready1.   

Abstract

Spatio-temporal modelling of the distributions of the leishmaniases and their sandfly vectors is reviewed in relation to climate change. Many leishmaniases are rural zoonoses, and so there is a foundation of descriptive ecology and qualitative risk assessment. Dogs are widespread reservoir hosts of veterinary importance. Recent statistical modelling has not always produced novel general conclusions, exemplifying the difficulty of applying models outside the original geographical region. Case studies are given for transmission cycles involving both cutaneous and visceral leishmaniasis in the Old World and the Americas. An important challenge is to integrate statistical spatial models based mainly on climate with more explanatory biological models. Ecological niche models pose difficulties because of the number of assumptions. A positive association has been reported between the El Niño cycle and the annual incidence of visceral leishmaniasis in Brazil, but more basic research is needed before tackling other climate-change scenarios, including leishmaniasis emergence in northern Europe.

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Year:  2008        PMID: 18819668

Source DB:  PubMed          Journal:  Rev Sci Tech        ISSN: 0253-1933            Impact factor:   1.181


  46 in total

1.  Spatio-temporal distribution analysis of zoonotic cutaneous leishmaniasis in Qom Province, Iran.

Authors:  Mojtaba Salimi; Nahid Jesri; Mohammad Javanbakht; Leyli Zanjirani Farahani; Mohammad Reza Shirzadi; Abedin Saghafipour
Journal:  J Parasit Dis       Date:  2018-10-13

2.  No recent adaptive selection on the apyrase of Mediterranean Phlebotomus: implications for using salivary peptides to vaccinate against canine leishmaniasis.

Authors:  Shazia S Mahamdallie; Paul D Ready
Journal:  Evol Appl       Date:  2011-12-26       Impact factor: 5.183

Review 3.  Emerging and reemerging neglected tropical diseases: a review of key characteristics, risk factors, and the policy and innovation environment.

Authors:  Tim K Mackey; Bryan A Liang; Raphael Cuomo; Ryan Hafen; Kimberly C Brouwer; Daniel E Lee
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

Review 4.  Neglected Tropical Diseases in the Context of Climate Change in East Africa: A Systematic Scoping Review.

Authors:  Julia M Bryson; Katherine E Bishop-Williams; Lea Berrang-Ford; Emily C Nunez; Shuaib Lwasa; Didacus B Namanya; Sherilee L Harper
Journal:  Am J Trop Med Hyg       Date:  2020-06       Impact factor: 2.345

5.  Herbal extract targets in Leishmania tropica.

Authors:  Bassim I Mohammad; Maani N Al Shammary; Roaa H Abdul Mageed; Nasser Ghaly Yousif
Journal:  J Parasit Dis       Date:  2014-02-16

Review 6.  Brain diseases in changing climate.

Authors:  Joanna A Ruszkiewicz; Alexey A Tinkov; Anatoly V Skalny; Vasileios Siokas; Efthimios Dardiotis; Aristidis Tsatsakis; Aaron B Bowman; João B T da Rocha; Michael Aschner
Journal:  Environ Res       Date:  2019-08-08       Impact factor: 6.498

7.  Assessment of the role of small mammals in the transmission cycle of tegumentary leishmaniasis and first report of natural infection with Leishmania braziliensis in two sigmodontines in northeastern Argentina.

Authors:  María S Fernández; Jimena Fraschina; Soraya Acardi; Domingo J Liotta; Eduardo Lestani; Magalí Giuliani; María Busch; O Daniel Salomón
Journal:  Parasitol Res       Date:  2017-12-21       Impact factor: 2.289

Review 8.  Climate Change and the Neglected Tropical Diseases.

Authors:  Mark Booth
Journal:  Adv Parasitol       Date:  2018-03-28       Impact factor: 3.870

9.  Leishmaniases in Greece.

Authors:  Pantelis Ntais; Dimitra Sifaki-Pistola; Vasiliki Christodoulou; Ippokratis Messaritakis; Francine Pratlong; George Poupalos; Maria Antoniou
Journal:  Am J Trop Med Hyg       Date:  2013-09-23       Impact factor: 2.345

10.  Temporal lagged relationship between a vegetation index and cutaneous leishmaniasis cases in Colombia: an analysis implementing a distributed lag nonlinear model.

Authors:  Juan David Gutiérrez-Torres
Journal:  Parasitol Res       Date:  2020-01-03       Impact factor: 2.289

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