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1.
Sci Total Environ ; 858(Pt 1): 159680, 2023 Feb 01.
Article in English | MEDLINE | ID: covidwho-2086715

ABSTRACT

Wastewater-based epidemiology (WBE) has been deployed broadly as an early warning tool for emerging COVID-19 outbreaks. WBE can inform targeted interventions and identify communities with high transmission, enabling quick and effective responses. As the wastewater (WW) becomes an increasingly important indicator for COVID-19 transmission, more robust methods and metrics are needed to guide public health decision-making. This research aimed to develop and implement a mathematical framework to infer incident cases of COVID-19 from SARS-CoV-2 levels measured in WW. We propose a classification scheme to assess the adequacy of model training periods based on clinical testing rates and assess the sensitivity of model predictions to training periods. A testing period is classified as adequate when the rate of change in testing is greater than the rate of change in cases. We present a Bayesian deconvolution and linear regression model to estimate COVID-19 cases from WW data. The effective reproductive number is estimated from reconstructed cases using WW. The proposed modeling framework was applied to three Northern California communities served by distinct WW treatment plants. The results showed that training periods with adequate testing are essential to provide accurate projections of COVID-19 incidence.


Subject(s)
COVID-19 , Wastewater , Humans , Viral Load , Incidence , COVID-19/epidemiology , SARS-CoV-2 , Bayes Theorem
2.
Am J Public Health ; 112(8): 1142-1146, 2022 08.
Article in English | MEDLINE | ID: covidwho-1933449

ABSTRACT

While many higher-education institutions dramatically altered their operations and helped mitigate COVID-19 transmission on campuses, these efforts were rarely fully extended to surrounding communities. A community pandemic-response program was launched in a college town that deployed epidemiological infection-control measures and health behavior change interventions. An increase in self-reported preventive health behaviors and a lower relative case positivity proportion were observed. The program identified scalable approaches that may generalize to other college towns and community types. Building public health infrastructure with such programs may be pivotal in promoting health in the postpandemic era. (Am J Public Health. 2022;112(8):1142-1146. https://doi.org/10.2105/AJPH.2022.306880).


Subject(s)
COVID-19 , COVID-19/prevention & control , Humans , Pandemics/prevention & control , Preventive Health Services , Public Health , Universities
3.
PLoS One ; 17(5): e0264195, 2022.
Article in English | MEDLINE | ID: covidwho-1910542

ABSTRACT

SARS-CoV-2 has infected nearly 3.7 million and killed 61,722 Californians, as of May 22, 2021. Non-pharmaceutical interventions have been instrumental in mitigating the spread of the coronavirus. However, as we ease restrictions, widespread implementation of COVID-19 vaccines is essential to prevent its resurgence. In this work, we addressed the adequacy and deficiency of vaccine uptake within California and the possibility and severity of resurgence of COVID-19 as restrictions are lifted given the current vaccination rates. We implemented a real-time Bayesian data assimilation approach to provide projections of incident cases and deaths in California following the reopening of its economy on June 15, 2021. We implemented scenarios that vary vaccine uptake prior to reopening, and transmission rates and effective population sizes following the reopening. For comparison purposes, we adopted a baseline scenario using the current vaccination rates, which projects a total 11,429 cases and 429 deaths in a 15-day period after reopening. We used posterior estimates based on CA historical data to provide realistic model parameters after reopening. When the transmission rate is increased after reopening, we projected an increase in cases by 21.8% and deaths by 4.4% above the baseline after reopening. When the effective population is increased after reopening, we observed an increase in cases by 51.8% and deaths by 12.3% above baseline. A 30% reduction in vaccine uptake alone has the potential to increase cases and deaths by 35% and 21.6%, respectively. Conversely, increasing vaccine uptake by 30% could decrease cases and deaths by 26.1% and 17.9%, respectively. As California unfolds its plan to reopen its economy on June 15, 2021, it is critical that social distancing and public behavior changes continue to be promoted, particularly in communities with low vaccine uptake. The Centers for Disease Control and Prevention (CDC) recommendation to ease mask-wearing for fully vaccinated individuals despite major inequities in vaccine uptake in counties across the state highlights some of the logistical challenges that society faces as we enthusiastically phase out of this pandemic.


Subject(s)
COVID-19 Vaccines , COVID-19 , Bayes Theorem , COVID-19/epidemiology , COVID-19/prevention & control , California/epidemiology , Humans , SARS-CoV-2 , Vaccination
4.
Life (Basel) ; 11(12)2021 Dec 03.
Article in English | MEDLINE | ID: covidwho-1554924

ABSTRACT

The rapid spread of the new SARS-CoV-2 virus triggered a global health crisis, disproportionately impacting people with pre-existing health conditions and particular demographic and socioeconomic characteristics. One of the main concerns of governments has been to avoid health systems becoming overwhelmed. For this reason, they have implemented a series of non-pharmaceutical measures to control the spread of the virus, with mass tests being one of the most effective controls. To date, public health officials continue to promote some of these measures, mainly due to delays in mass vaccination and the emergence of new virus strains. In this research, we studied the association between COVID-19 positivity rate and hospitalization rates at the county level in California using a mixed linear model. The analysis was performed in the three waves of confirmed COVID-19 cases registered in the state to September 2021. Our findings suggest that test positivity rate is consistently associated with hospitalization rates at the county level for all study waves. Demographic factors that seem to be related to higher hospitalization rates changed over time, as the profile of the pandemic impacted different fractions of the population in counties across California.

5.
PLoS One ; 16(11): e0258738, 2021.
Article in English | MEDLINE | ID: covidwho-1502067

ABSTRACT

BACKGROUND: Epidemics of COVID-19 in student populations at universities were a key concern for the 2020-2021 school year. The University of California (UC) System developed a set of recommendations to reduce campus infection rates. SARS-CoV-2 test results are summarized for the ten UC campuses during the Fall 2020 term. METHODS: UC mitigation efforts included protocols for the arrival of students living on-campus students, non-pharmaceutical interventions, daily symptom monitoring, symptomatic testing, asymptomatic surveillance testing, isolation and quarantine protocols, student ambassador programs for health education, campus health and safety pledges, and lowered density of on-campus student housing. We used data from UC campuses, the UC Health-California Department of Public Health Data Modeling Consortium, and the U.S. Census to estimate the proportion of each campus' student populations that tested positive for SARS-CoV-2 and compared it to the fraction individuals aged 20-29 years who tested positive in their respective counties. RESULTS: SARS-CoV-2 cases in campus populations were generally low in September and October 2020, but increased in November and especially December, and were highest in early to mid-January 2021, mirroring case trajectories in their respective counties. Many students were infected during the Thanksgiving and winter holiday recesses and were detected as cases upon returning to campus. The proportion of students who tested positive for SARS-CoV-2 during Fall 2020 ranged from 1.2% to 5.2% for students living on campus and was similar to students living off campus. For most UC campuses the proportion of students testing positive was lower than that for the 20-29-year-old population in which campuses were located. CONCLUSIONS: The layered mitigation approach used on UC campuses, informed by public health science and augmented perhaps by a more compliant population, likely minimized campus transmission and outbreaks and limited transmission to surrounding communities. University policies that include these mitigation efforts in Fall 2020 along with SARS-CoV-2 vaccination, may alleviate some local concerns about college students returning to communities and facilitate resumption of normal campus operations and in-person instruction.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , SARS-CoV-2 , Universities , Adult , COVID-19 Testing , COVID-19 Vaccines , California/epidemiology , Communicable Disease Control , Disease Outbreaks , Educational Status , Epidemics , Female , Geography , Humans , Male , Mass Screening , Quarantine , Students , Young Adult
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