Detalhe da pesquisa
1.
Solitary ecology as a phenomenon extending beyond insular systems: exaptive evolution in Anolis lizards.
Biol Lett
; 15(5): 20190056, 2019 05 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-31113308
2.
Understanding transmissibility patterns of Chagas disease through complex vector-host networks.
Parasitology
; 144(6): 760-772, 2017 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-28077180
3.
Risk of a vector-borne endemic zoonosis for wildlife: Hosts, large-scale geography, and diversity of vector-host interactions for Trypanosoma cruzi.
Acta Trop
; 251: 107117, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38184291
4.
Disentangling the contributions of biotic and abiotic predictors in the niche and the species distribution model of Trypanosoma cruzi, etiological agent of Chagas disease.
Acta Trop
; 238: 106757, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-36402171
5.
"Does a Respiratory Virus Have an Ecological Niche, and If So, Can It Be Mapped?" Yes and Yes.
Trop Med Infect Dis
; 8(3)2023 Mar 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-36977179
6.
The Low Variability of Tc24 in Trypanosoma cruzi TcI as an Advantage for Chagas Disease Prophylaxis and Diagnosis in Mexico.
Pathogens
; 12(3)2023 Feb 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-36986290
7.
Toward New Epidemiological Landscapes of Trypanosoma cruzi (Kinetoplastida, Trypanosomatidae) Transmission under Future Human-Modified Land Cover and Climatic Change in Mexico.
Trop Med Infect Dis
; 7(9)2022 Sep 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36136632
8.
Assessment of the potential establishment of Lyme endemic cycles in Mexico.
J Vector Ecol
; 46(2): 207-220, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35230025
9.
Using Data Mining and Network Analysis to Infer Arboviral Dynamics: The Case of Mosquito-Borne Flaviviruses Reported in Mexico.
Insects
; 12(5)2021 Apr 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-33946977
10.
SPECIES: A platform for the exploration of ecological data.
Ecol Evol
; 9(4): 1638-1653, 2019 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-30847061
11.
Predicting the Potential Role of Non-human Hosts in Zika Virus Maintenance.
Ecohealth
; 14(1): 171-177, 2017 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-28180996
12.
Coat colour adaptation of post-glacial horses to increasing forest vegetation.
Nat Ecol Evol
; 1(12): 1816-1819, 2017 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-29085065
13.
Interacciones potenciales parásito-hospedero entre el escarabajo Dendroctonus (Coleoptera: Scolytidae) y Pinus (Pinaceae) en México / Potential parasite-host interactions between Dendroctonus (Coleoptera: Scolytidae) beetle and Pinus (Pinaceae) in Mexico
Rev. biol. trop
; 69(3)sept. 2021.
Artigo
em Espanhol
| LILACS, SaludCR | ID: biblio-1387664
14.
Can You Judge a Disease Host by the Company It Keeps? Predicting Disease Hosts and Their Relative Importance: A Case Study for Leishmaniasis.
PLoS Negl Trop Dis
; 10(10): e0005004, 2016 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-27716833
15.
Leishmania (L.) mexicana infected bats in Mexico: novel potential reservoirs.
PLoS Negl Trop Dis
; 9(1): e0003438, 2015 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-25629729
16.
Climate change and risk of leishmaniasis in north america: predictions from ecological niche models of vector and reservoir species.
PLoS Negl Trop Dis
; 4(1): e585, 2010 Jan 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-20098495
17.
Using biotic interaction networks for prediction in biodiversity and emerging diseases.
PLoS One
; 4(5): e5725, 2009 May 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-19478956