Implications for health system resilience: Quantifying the impact of the COVID-19-related stay at home orders on cancer screenings and diagnoses in southeastern North Carolina, USA.

"all r code for data processing preparation visualization and analysis is included in the supplemental materials3 table 1 presents the counts for screenings diagnoses and advanced case diagnoses associated with each cancer in terms of total counts as well as counts for before (january 1 2019 to march 29 2020 or weeks1 to 65) during (march 30 2020 to may 7 2020 or weeks66 to 72) and after (may 7 2020 to december 31 2020 or weeks73-106) the sah orders. all r code for data processing preparation visualization and analysis is included in the supplemental materials3 table 1 presents the counts for screenings diagnoses and advanced case diagnoses associated with each cancer in terms of total counts as well as counts for before (january 1 2019 to march 29 2020 or weeks1 to 65) during (march 30 2020 to may 7 2020 or weeks66 to 72) and after (may 7 2020 to december 31 2020 or weeks73-106) the sah orders.; appendix a supplementary data supplementary material: additional tables figures and r code."

"Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper."

"This research was supported in part by the University of North Carolina's Center for Social Impact with special thanks to Cape Fear Collective."