@article{dudel_monitoring_2020,
	title = {Monitoring trends and differences in {COVID}-19 case-fatality rates using decomposition methods: {Contributions} of age structure and age-specific fatality},
	volume = {15},
	issn = {1932-6203},
	shorttitle = {Monitoring trends and differences in {COVID}-19 case-fatality rates using decomposition methods},
	url = {https://dx.plos.org/10.1371/journal.pone.0238904},
	doi = {10.1371/journal.pone.0238904},
	language = {en},
	number = {9},
	urldate = {2023-06-29},
	journal = {PLOS ONE},
	author = {Dudel, Christian and Riffe, Tim and Acosta, Enrique and Van Raalte, Alyson and Strozza, Cosmo and Myrskylä, Mikko},
	editor = {Masquelier, Bruno},
	month = sep,
	year = {2020},
	pages = {e0238904},
}

@techreport{sumner_reproducibility_2020,
	type = {preprint},
	title = {Reproducibility and reporting practices in {COVID}-19 preprint manuscripts},
	url = {http://medrxiv.org/lookup/doi/10.1101/2020.03.24.20042796},
	abstract = {Abstract
          The novel coronavirus, COVID-19, has sparked an outflow of scientific research seeking to understand the virus, its spread, and best practices in prevention and treatment. If this international research effort is going to be as swift and effective as possible, it will need to rely on a principle of open science. When researchers share data, code, and software and generally make their work as transparent as possible, it allows other researchers to verify and expand upon their work. Furthermore, it allows public officials to make informed decisions. In this study, we analyzed 535 preprint articles related to COVID-19 for eight transparency criteria and recorded study location and funding information. We found that individual researchers have lined up to help during this crisis, quickly tackling important public health questions, often without funding or support from outside organizations. However, most authors could improve their data sharing and scientific reporting practices. The contrast between researchers’ commitment to doing important research and their reporting practices reveals underlying weaknesses in the research community’s reporting habits, but not necessarily their science.},
	language = {en},
	urldate = {2023-06-29},
	institution = {Health Informatics},
	author = {Sumner, Josh and Haynes, Leah and Nathan, Sarah and Hudson-Vitale, Cynthia and McIntosh, Leslie D.},
	month = mar,
	year = {2020},
	doi = {10.1101/2020.03.24.20042796},
}

@article{liu_effects_2023,
	title = {Effects of radon exposure on gut microbiota and its metabolites short-chain fatty acids in mice},
	volume = {486},
	issn = {0300483X},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0300483X23000355},
	doi = {10.1016/j.tox.2023.153449},
	language = {en},
	urldate = {2023-06-29},
	journal = {Toxicology},
	author = {Liu, Huimeng and Wang, Meiyu and Chen, Guangrui and Zhou, Huiyu and Dong, Jiahui and Yang, Lei and Li, Tong and Meng, Zhiyun and Gu, Ruolan and Gan, Hui and Wu, Zhuona and Liu, Shuchen and Sun, Yunbo and Yuan, Yong and Dou, Guifang},
	month = mar,
	year = {2023},
	pages = {153449},
}