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COVID-19 GPH|Home|PHGKB Last data update: Oct 31, 2020 . (Total: 13493 Documents since 2020)
   

Last Posted: Oct-31-2020 11:08:16
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National Wastewater Surveillance System (NWSS): A new public health tool to understand COVID-19 spread in a community
CDC, October 2020

“Wastewater”, also referred to as “sewage,” includes water from household/building use (i.e., toilets, showers, sinks) that can contain human fecal waste, as well as water from non-household sources (e.g., rainwater and industrial use). Wastewater can be tested for RNA from SARS-CoV-2, the virus that causes COVID-19.

Public Health Interpretation and Use of Wastewater Surveillance Data
CDC, October 30, 2020

Appropriate public health interpretation of wastewater surveillance data depends on understanding the surveillance sampling strategy and testing limitations, as well as valid data processing and analysis. Wastewater surveillance data are primarily used in three ways, monitoring presence of infection, tracking trends and targeted screening.

Wastewater Surveillance Testing Methods
CDC, October 30, 2020

Multiple testing methods and laboratory workflows are used to quantify SARS-CoV-2 in wastewater across the United States. Laboratory controls can ensure that results are comparable by accounting for method performance and data quality. Based on the levels of SARS-CoV-2 in wastewater, methods can be adapted to higher or lower detection limits as needed.

The long and the short of ACE2, the SARS-CoV-2 receptor
LP Olsson et al, Nature Research October 2020

Just six months ago, angiotensin-converting enzyme 2 (ACE2) was hardly in our lexicon, but most people have heard about it by now because SARS-CoV-2 uses it as a receptor to enter cells. We explored the long and the short of ACE2: its transcriptionally independent and functionally distinct isoforms.


news Latest News and Publications
Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach.
Bird Jordan J, et al. PloS one 2020 0 0. (10) e0241332

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Artificial intelligence in medicine and the disclosure of risks.
Kiener Maximilian, et al. AI & society 2020 10 0. 1-9

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Global analysis of the COVID-19 pandemic using simple epidemiological models.
Enrique Amaro José, et al. Applied mathematical modelling 2020 10 0.

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The Impact of Obesity on COVID-19 Disease Severity.
Long Joshua D, et al. PRiMER (Leawood, Kan.) 2020 0 0. 15

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Escape from neutralizing antibodies by SARS-CoV-2 spike protein variants.
Weisblum Yiska, et al. eLife 2020 10 0.

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Recurrence of SARS-CoV-2 viral RNA in recovered COVID-19 patients: a narrative review.
Dao Thi Loi, et al. European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology 2020 10 0.

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COVID-19, varying genetic resistance to viral disease, and immune tolerance checkpoints.
Goodnow Christopher C, et al. Immunology and cell biology 2020 10 0.

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Reinfection of COVID-19 after 3 months with a distinct and more aggressive clinical presentation: case report.
Torres Danielle de Araujo, et al. Journal of medical virology 2020 10 0.

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Molecular-based cross-species evaluation of bovine coronavirus infection in cattle, sheep and goats in Ghana.
Burimuah Vitus, et al. BMC veterinary research 2020 10 0. (1) 405

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Patient Contribution to the Development and Safe Use of Medicines During the Covid-19 Pandemic.
Pitts Peter J, et al. Therapeutic innovation & regulatory science 2020 10 0.

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About COVID-19 GPH

COVID-19 GPH is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that captures emerging discoveries and applications of genomics, molecular and other precision medicine and precision public health tools in the investigation and control of COVID-19. Contents include PubMed records via an automated pubmed search algorithm, preprint records from NIH iCite, the relevant information from many media sources picked by experts, and linkages to contents from our curated PHGKB databases.



Genomics Precision Health: The use of pathogen and human genomics and advanced molecular detection methods in discovery, clinical and public health investigations involving COVID-19.
Non Genomics Precision Health: The use of big data, data science and machine learning methods (not involving genomics) in discovery, clinical and public health investigations involving COVID-19

Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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