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1.
Emerg Infect Dis ; 29(3): 561-568, 2023 03.
Article in English | MEDLINE | ID: covidwho-2224718

ABSTRACT

In 2020, Montana, USA, reported a large increase in Colorado tick fever (CTF) cases. To investigate potential causes of the increase, we conducted a case-control study of Montana residents who tested positive or negative for CTF during 2020, assessed healthcare providers' CTF awareness and testing practices, and reviewed CTF testing methods. Case-patients reported more time recreating outdoors on weekends, and all reported finding a tick on themselves before illness. No consistent changes were identified in provider practices. Previously, only CTF serologic testing was used in Montana. In 2020, because of SARS-CoV-2 testing needs, the state laboratory sent specimens for CTF testing to the Centers for Disease Control and Prevention, where more sensitive molecular methods are used. This change in testing probably increased the number of CTF cases detected. Molecular testing is optimal for CTF diagnosis during acute illness. Tick bite prevention measures should continue to be advised for persons doing outdoor activities.


Subject(s)
COVID-19 , Colorado Tick Fever , Colorado tick fever virus , Humans , Montana , COVID-19 Testing , Case-Control Studies , Pandemics , SARS-CoV-2 , Colorado Tick Fever/epidemiology
2.
PLoS One ; 16(9): e0256917, 2021.
Article in English | MEDLINE | ID: covidwho-1394548

ABSTRACT

BACKGROUND: Most current evidence on risk factors for hospitalization because of coronavirus disease 2019 (COVID-19) comes from studies using data abstracted primarily from electronic health records, limited to specific populations, or that fail to capture over-the-counter medications and adjust for potential confounding factors. Properly understanding risk factors for hospitalization will help improve clinical management and facilitate targeted prevention messaging and forecasting and prioritization of clinical and public health resource needs. OBJECTIVES: To identify risk factors for hospitalization using patient questionnaires and chart abstraction. METHODS: We randomly selected 600 of 1,738 laboratory-confirmed Colorado COVID-19 cases with known hospitalization status and illness onset during March 9-31, 2020. In April 2020, we collected demographics, social history, and medications taken in the 30 days before illness onset via telephone questionnaire and collected underlying medical conditions in patient questionnaires and medical record abstraction. RESULTS: Overall, 364 patients participated; 128 were hospitalized and 236 were non-hospitalized. In multivariable analysis, chronic hypoxemic respiratory failure with oxygen requirement (adjusted odds ratio [aOR] 14.64; 95% confidence interval [CI] 1.45-147.93), taking opioids (aOR 8.05; CI 1.16-55.77), metabolic syndrome (aOR 5.71; CI 1.18-27.54), obesity (aOR 3.35; CI 1.58-7.09), age ≥65 years (aOR 3.22; CI 1.20-7.97), hypertension (aOR 3.14; CI 1.47-6.71), arrhythmia (aOR 2.95; CI 1.00-8.68), and male sex (aOR 2.65; CI 1.44-4.88), were significantly associated with hospitalization. CONCLUSION: We identified patient characteristics, medications, and medical conditions, including some novel ones, associated with hospitalization. These data can be used to inform clinical and public health resource needs.


Subject(s)
COVID-19/therapy , Hospitalization/statistics & numerical data , SARS-CoV-2/isolation & purification , Surveys and Questionnaires , Adolescent , Adult , Aged , COVID-19/diagnosis , COVID-19/virology , Colorado , Humans , Male , Middle Aged , Multivariate Analysis , Risk Factors , SARS-CoV-2/physiology , Young Adult
3.
Emerg Infect Dis ; 27(2): 385-395, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1076427

ABSTRACT

To improve recognition of coronavirus disease (COVID-19) and inform clinical and public health guidance, we randomly selected 600 COVID-19 case-patients in Colorado. A telephone questionnaire captured symptoms experienced, when symptoms occurred, and how long each lasted. Among 128 hospitalized patients, commonly reported symptoms included fever (84%), fatigue (83%), cough (73%), and dyspnea (72%). Among 236 nonhospitalized patients, commonly reported symptoms included fatigue (90%), fever (83%), cough (83%), and myalgia (74%). The most commonly reported initial symptoms were cough (21%-25%) and fever (20%-25%). In multivariable analysis, vomiting, dyspnea, altered mental status, dehydration, and wheezing were significantly associated with hospitalization, whereas rhinorrhea, headache, sore throat, and anosmia or ageusia were significantly associated with nonhospitalization. General symptoms and upper respiratory symptoms occurred earlier in disease, and anosmia, ageusia, lower respiratory symptoms, and gastrointestinal symptoms occurred later. Symptoms should be considered alongside other epidemiologic factors in clinical and public health decisions regarding potential COVID-19 cases.


Subject(s)
COVID-19/complications , COVID-19/epidemiology , Inpatients/statistics & numerical data , Outpatients/statistics & numerical data , SARS-CoV-2 , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/virology , Child , Child, Preschool , Colorado/epidemiology , Cough/epidemiology , Cough/virology , Disease Progression , Dyspnea/epidemiology , Dyspnea/virology , Fatigue/epidemiology , Fatigue/virology , Female , Fever/epidemiology , Fever/virology , Humans , Infant , Male , Middle Aged , Myalgia/epidemiology , Myalgia/virology , Symptom Assessment , Young Adult
4.
MMWR Morb Mortal Wkly Rep ; 69(26): 847-849, 2020 Jul 03.
Article in English | MEDLINE | ID: covidwho-635894

ABSTRACT

On March 26, 2020, Colorado instituted stay-at-home orders to reduce community transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19). To inform public health messaging and measures that could be used after reopening, persons with laboratory-confirmed COVID-19 during March 9-26 from nine Colorado counties comprising approximately 80% of the state's population† (Adams, Arapahoe, Boulder, Denver, Douglas, El Paso, Jefferson, Larimer, and Weld) were asked about possible exposures to SARS-CoV-2 before implementation of stay-at-home orders. Among 1,738 persons meeting the inclusion criteria§ in the Colorado Electronic Disease Surveillance System, 600 were randomly selected and interviewed using a standardized questionnaire by telephone. Data collection during April 10-30 included information about demographic characteristics, occupations, and selected activities in the 2 weeks preceding symptom onset. During the period examined, SARS-CoV-2 molecular testing was widely available in Colorado; community transmission was documented before implementation of the stay-at-home order. At least three attempts were made to contact all selected patients or their proxy (for deceased patients, minors, and persons unable to be interviewed [e.g., those with dementia]) on at least 2 separate days, at different times of day. Data were entered into a Research Electronic Data Capture (version 9.5.13; Vanderbilt University) database, and descriptive analyses used R statistical software (version 3.6.3; The R Foundation).


Subject(s)
Coronavirus Infections/diagnosis , Coronavirus Infections/prevention & control , Environmental Exposure/statistics & numerical data , Pandemics/prevention & control , Pneumonia, Viral/diagnosis , Pneumonia, Viral/prevention & control , Public Health/legislation & jurisprudence , Adult , COVID-19 , Colorado/epidemiology , Coronavirus Infections/epidemiology , Female , Humans , Laboratories , Male , Middle Aged , Pneumonia, Viral/epidemiology , Social Isolation
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