Reservoir displacement by an invasive rodent reduces Lassa virus zoonotic spillover risk
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-024-47991-1
Download full text from publisher
References listed on IDEAS
- Raphaëlle Klitting & Liana E. Kafetzopoulou & Wim Thiery & Gytis Dudas & Sophie Gryseels & Anjali Kotamarthi & Bram Vrancken & Karthik Gangavarapu & Mambu Momoh & John Demby Sandi & Augustine Goba & F, 2022. "Predicting the evolution of the Lassa virus endemic area and population at risk over the next decades," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
- Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
- He Yu & Alexandra Jamieson & Ardern Hulme-Beaman & Chris J. Conroy & Becky Knight & Camilla Speller & Hiba Al-Jarah & Heidi Eager & Alexandra Trinks & Gamini Adikari & Henriette Baron & Beate Böhlendo, 2022. "Palaeogenomic analysis of black rat (Rattus rattus) reveals multiple European introductions associated with human economic history," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Lin Zhang & Jason Rohr & Ruina Cui & Yusi Xin & Lixia Han & Xiaona Yang & Shimin Gu & Yuanbao Du & Jing Liang & Xuyu Wang & Zhengjun Wu & Qin Hao & Xuan Liu, 2022. "Biological invasions facilitate zoonotic disease emergences," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- David W. Redding & Rory Gibb & Chioma C. Dan-Nwafor & Elsie A. Ilori & Rimamdeyati Usman Yashe & Saliu H. Oladele & Michael O. Amedu & Akanimo Iniobong & Lauren A. Attfield & Christl A. Donnelly & Ibr, 2021. "Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Francis,David C. & Kubinec ,Robert, 2022. "Beyond Political Connections : A Measurement Model Approach to Estimating Firm-levelPolitical Influence in 41 Economies," Policy Research Working Paper Series 10119, The World Bank.
- Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
- Yongping Bao & Ludwig Danwitz & Fabian Dvorak & Sebastian Fehrler & Lars Hornuf & Hsuan Yu Lin & Bettina von Helversen, 2022. "Similarity and Consistency in Algorithm-Guided Exploration," CESifo Working Paper Series 10188, CESifo.
- Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2020.
"Growth, development, and structural change at the firm-level: The example of the PR China,"
MPRA Paper
105011, University Library of Munich, Germany.
- Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Growth, development, and structural change at the firmlevel: The example of the PR China," Chemnitz Economic Papers 040, Department of Economics, Chemnitz University of Technology.
- Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Growth, development, and structural change at the firm-level: The example of the PR China," Papers 2012.14503, arXiv.org.
- Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2021. "Growth, development, and structural change at the firm level: The example of the PR China," Working Papers on East Asian Studies 128/2021, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
- van Kesteren Erik-Jan & Bergkamp Tom, 2023. "Bayesian analysis of Formula One race results: disentangling driver skill and constructor advantage," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(4), pages 273-293, December.
- Xin Xu & Yang Lu & Yupeng Zhou & Zhiguo Fu & Yanjie Fu & Minghao Yin, 2021. "An Information-Explainable Random Walk Based Unsupervised Network Representation Learning Framework on Node Classification Tasks," Mathematics, MDPI, vol. 9(15), pages 1-14, July.
- Xiaoyue Xi & Simon E. F. Spencer & Matthew Hall & M. Kate Grabowski & Joseph Kagaayi & Oliver Ratmann & Rakai Health Sciences Program and PANGEA‐HIV, 2022. "Inferring the sources of HIV infection in Africa from deep‐sequence data with semi‐parametric Bayesian Poisson flow models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 517-540, June.
- Kuschnig, Nikolas, 2021.
"Bayesian Spatial Econometrics and the Need for Software,"
Department of Economics Working Paper Series
318, WU Vienna University of Economics and Business.
- Nikolas Kuschnig, 2021. "Bayesian Spatial Econometrics and the Need for Software," Department of Economics Working Papers wuwp318, Vienna University of Economics and Business, Department of Economics.
- Deniz Aksoy & David Carlson, 2022. "Electoral support and militants’ targeting strategies," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(2), pages 229-241, March.
- Richard Hunt & Shelton Peiris & Neville Weber, 2022. "Estimation methods for stationary Gegenbauer processes," Statistical Papers, Springer, vol. 63(6), pages 1707-1741, December.
- D. Fouskakis & G. Petrakos & I. Rotous, 2020. "A Bayesian longitudinal model for quantifying students’ preferences regarding teaching quality indicators," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 255-270, August.
- Joseph B. Bak-Coleman & Ian Kennedy & Morgan Wack & Andrew Beers & Joseph S. Schafer & Emma S. Spiro & Kate Starbird & Jevin D. West, 2022. "Combining interventions to reduce the spread of viral misinformation," Nature Human Behaviour, Nature, vol. 6(10), pages 1372-1380, October.
- Jonas Moss & Riccardo De Bin, 2023. "Modelling publication bias and p‐hacking," Biometrics, The International Biometric Society, vol. 79(1), pages 319-331, March.
- Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
- David M. Phillippo & Sofia Dias & A. E. Ades & Mark Belger & Alan Brnabic & Alexander Schacht & Daniel Saure & Zbigniew Kadziola & Nicky J. Welton, 2020. "Multilevel network meta‐regression for population‐adjusted treatment comparisons," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1189-1210, June.
- Matthias Breuer & Harm H. Schütt, 2023. "Accounting for uncertainty: an application of Bayesian methods to accruals models," Review of Accounting Studies, Springer, vol. 28(2), pages 726-768, June.
- Loke Schmalensee & Pauline Caillault & Katrín Hulda Gunnarsdóttir & Karl Gotthard & Philipp Lehmann, 2023. "Seasonal specialization drives divergent population dynamics in two closely related butterflies," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Edgar Santos‐Fernandez & Erin E. Peterson & Julie Vercelloni & Em Rushworth & Kerrie Mengersen, 2021. "Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 147-173, January.
- Barakat, Bilal Fouad & Dharamshi, Ameer & Alkema, Leontine & Antoninis, Manos, 2021. "Adjusted Bayesian Completion Rates (ABC) Estimation," SocArXiv at368, Center for Open Science.
- Burbano, Vanessa & Padilla, Nicolas & Meier, Stephan, 2020. "Gender Differences in Preferences for Meaning at Work," IZA Discussion Papers 13053, Institute of Labor Economics (IZA).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47991-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.