Items where Author is "Lowe, R"
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Number of items: 19.
2018
Lowe, R;
Barcellos, C;
Brasil, P;
Cruz, OG;
Honório, NA;
Kuper, H;
Carvalho, MS;
(2018)
The Zika Virus Epidemic in Brazil: From Discovery to Future Implications.
International journal of environmental research and public health, 15 (1).
ISSN 1661-7827
DOI: https://doi.org/10.3390/ijerph15010096
Lowe, R;
Gasparrini, A;
Van Meerbeeck, CJ;
Lippi, CA;
Mahon, R;
Trotman, AR;
Rollock, L;
Hinds, AQJ;
Ryan, SJ;
Stewart-Ibarra, AM;
(2018)
Nonlinear and delayed impacts of climate on dengue risk in Barbados: A modelling study.
PLoS medicine, 15 (7).
e1002613.
ISSN 1549-1277
DOI: https://doi.org/10.1371/journal.pmed.1002613
O'Reilly, KM;
Lowe, R;
Edmunds, WJ;
Mayaud, P;
Kucharski, A;
Eggo, RM;
Funk, S;
Bhatia, D;
Khan, K;
Kraemer, MUG;
+8 more...
Wilder-Smith, A;
Rodrigues, LC;
Brasil, P;
Massad, E;
Jaenisch, T;
Cauchemez, S;
Brady, OJ;
Yakob, L;
(2018)
Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis.
BMC medicine, 16 (1).
p. 180.
ISSN 1741-7015
DOI: https://doi.org/10.1186/s12916-018-1158-8
2016
Ballester, J;
Lowe, R;
Diggle, PJ;
Rodó, X;
(2016)
Seasonal forecasting and health impact models: challenges and opportunities.
Annals of the New York Academy of Sciences, 1382 (1).
pp. 8-20.
ISSN 0077-8923
DOI: https://doi.org/10.1111/nyas.13129
Davis, M;
Lowe, R;
Steffen, S;
Doblas-Reyes, F;
Rodó, X;
(2016)
Barriers to Using Climate Information: Challenges in Communicating Probabilistic Forecasts to Decision-Makers.
In: Drake, JeanetteL; Kontar, YekaterinaY; Eichelberger, JohnC; Rupp, TScott; Taylor, KarenM, (eds.)
Communicating Climate-Change and Natural Hazard Risk and Cultivating Resilience: Case Studies for a Multi-disciplinary Approach.
Springer International Publishing, Cham, pp. 95-113.
ISBN 978-3-319-20161-0
DOI: https://doi.org/10.1007/978-3-319-20161-0_7
Full text not available from this repository.
Lowe, R;
García-Díez, M;
Ballester, J;
Creswick, J;
Robine, JM;
Herrmann, FR;
Rodó, X;
(2016)
Evaluation of an Early-Warning System for Heat Wave-Related Mortality in Europe: Implications for Sub-seasonal to Seasonal Forecasting and Climate Services.
International journal of environmental research and public health, 13 (2).
p. 206.
ISSN 1661-7827
DOI: https://doi.org/10.3390/ijerph13020206
Lowe, R;
Rodó, X;
(2016)
Modelling Climate-Sensitive Disease Risk: A Decision Support Tool for Public Health Services.
In: Drake, JeanetteL; Kontar, YekaterinaY; Eichelberger, JohnC; Rupp, TScott; Taylor, KarenM, (eds.)
Communicating Climate-Change and Natural Hazard Risk and Cultivating Resilience: Case Studies for a Multi-disciplinary Approach.
Springer International Publishing, Cham, pp. 115-130.
ISBN 978-3-319-20161-0
DOI: https://doi.org/10.1007/978-3-319-20161-0_8
Full text not available from this repository.
2015
Lowe, R;
(2015)
Understanding the relative importance of global dengue risk factors.
Transactions of the Royal Society of Tropical Medicine and Hygiene, 109 (10).
pp. 607-8.
ISSN 0035-9203
DOI: https://doi.org/10.1093/trstmh/trv068
Full text not available from this repository.
Lowe, R;
Ballester, J;
Creswick, J;
Robine, JM;
Herrmann, FR;
Rodó, X;
(2015)
Evaluating the performance of a climate-driven mortality model during heat waves and cold spells in Europe.
International journal of environmental research and public health, 12 (2).
pp. 1279-94.
ISSN 1661-7827
DOI: https://doi.org/10.3390/ijerph120201279
Lowe, R;
Carvalho, MS;
Coelho, CA;
Barcellos, C;
Bailey, TC;
Stephenson, DB;
Rodó, X;
(2015)
Interpretation of probabilistic forecasts of epidemics.
The Lancet infectious diseases, 15 (1).
p. 20.
ISSN 1473-3099
DOI: https://doi.org/10.1016/S1473-3099(14)71031-X
Full text not available from this repository.
Lowe, R;
Cazelles, B;
Paul, R;
Rodó, X;
(2015)
Quantifying the added value of climate information in a spatio-temporal dengue model.
Stochastic Environmental Research and Risk Assessment, 30 (8).
pp. 2067-2078.
ISSN 1436-3259
DOI: https://doi.org/10.1007/s00477-015-1053-1
2014
Barcellos, C;
Lowe, R;
(2014)
Dengue and the world football cup: a matter of timing.
PLoS neglected tropical diseases, 8 (7).
e3022.
ISSN 1935-2727
DOI: https://doi.org/10.1371/journal.pntd.0003022
Chirombo, J;
Lowe, R;
Kazembe, L;
(2014)
Using structured additive regression models to estimate risk factors of malaria: analysis of 2010 Malawi malaria indicator survey data.
PloS one, 9 (7).
e101116.
ISSN 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0101116
Jancloes, M;
Thomson, M;
Costa, MM;
Hewitt, C;
Corvalan, C;
Dinku, T;
Lowe, R;
Hayden, M;
(2014)
Climate services to improve public health.
International journal of environmental research and public health, 11 (5).
pp. 4555-9.
ISSN 1661-7827
DOI: https://doi.org/10.3390/ijerph110504555
Lowe, R;
Barcellos, C;
Coelho, CA;
Bailey, TC;
Coelho, GE;
Graham, R;
Jupp, T;
Ramalho, WM;
Carvalho, MS;
Stephenson, DB;
+1 more...
Rodó, X;
(2014)
Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts.
The Lancet infectious diseases, 14 (7).
pp. 619-26.
ISSN 1473-3099
DOI: https://doi.org/10.1016/S1473-3099(14)70781-9
2013
Barcellos, C;
Lowe, R;
(2013)
Expansion of the dengue transmission area in Brazil: the role of climate and cities.
Tropical medicine & international health, 19 (2).
pp. 159-68.
ISSN 1360-2276
DOI: https://doi.org/10.1111/tmi.12227
Full text not available from this repository.
Dommar, CJ;
Lowe, R;
Robinson, M;
Rodó, X;
(2013)
An agent-based model driven by tropical rainfall to understand the spatio-temporal heterogeneity of a chikungunya outbreak.
Acta tropica, 129.
pp. 61-73.
ISSN 0001-706X
DOI: https://doi.org/10.1016/j.actatropica.2013.08.004
Full text not available from this repository.
2011
Lowe, R;
Bailey, TC;
Stephenson, DB;
Graham, RJ;
Coelho, CAS;
Sá Carvalho, M;
Barcellos, C;
(2011)
Spatio-temporal modelling of climate-sensitive disease risk: Towards an early warning system for dengue in Brazil.
Computers & geosciences, 37 (3).
pp. 371-381.
ISSN 0098-3004
DOI: https://doi.org/10.1016/j.cageo.2010.01.008
Full text not available from this repository.