Detalhe da pesquisa
1.
Spatiotemporal variations in exposure: Chagas disease in Colombia as a case study.
BMC Med Res Methodol
; 22(1): 13, 2022 01 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-35027002
2.
Predicting Dengue Outbreaks in Cambodia.
Emerg Infect Dis
; 25(12): 2281-2283, 2019 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31742509
3.
Associations of water contact frequency, duration, and activities with schistosome infection risk: A systematic review and meta-analysis.
PLoS Negl Trop Dis
; 17(6): e0011377, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-37315020
4.
From serological surveys to disease burden: a modelling pipeline for Chagas disease.
Philos Trans R Soc Lond B Biol Sci
; 378(1887): 20220278, 2023 10 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37598701
5.
Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease.
PLoS Negl Trop Dis
; 16(7): e0010594, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35853042
6.
An algorithm applied to national surveillance data for the early detection of major dengue outbreaks in Cambodia.
PLoS One
; 14(2): e0212003, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-30730979
7.
Assessing the performance of remotely-sensed flooding indicators and their potential contribution to early warning for leptospirosis in Cambodia.
PLoS One
; 12(7): e0181044, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28704461