| Literature DB >> 33270616 |
Gail L Sondermeyer Cooksey1, Alyssa Nguyen1, Duc Vugia1, Seema Jain1.
Abstract
Coccidioidomycosis (Valley fever) is an infection caused by the soil-dwelling fungus Coccidioides spp., which usually manifests as a mild self-limited respiratory illness or pneumonia but can result in severe disseminated disease and, rarely, death (1,2). In California, coccidioidomycosis incidence increased nearly 800% from 2000 (2.4 cases per 100,000 population) to 2018 (18.8) (2-4). The California Department of Public Health (CDPH) reports statewide and county-level coccidioidomycosis incidence annually; however, a comprehensive regional analysis has not been conducted. Using California coccidioidomycosis surveillance data during 2000-2018, age-adjusted incidence rates were calculated, and coccidioidomycosis epidemiology was described in six regions. During 2000-2018, a total of 65,438 coccidioidomycosis cases were reported in California; median statewide annual incidence was 7.9 per 100,000 population and varied by region from 1.1 in Northern and Eastern California to 90.6 in the Southern San Joaquin Valley, with the largest increase (15-fold) occurring in the Northern San Joaquin Valley. When analyzing demographic data, which was available for >99% of cases for sex and age and 59% of cases for race/ethnicity, median annual incidence was high among males (10.2) and Black persons (9.0) consistently across all regions; however, incidence varied among Hispanics and adults aged 40-59 years by region. Tracking these surveillance data at the regional level reinforced understanding of where and among what demographic groups coccidioidomycosis rates have been highest and revealed where rates are increasing most dramatically. The results of this analysis influenced the planning of a statewide coccidioidomycosis awareness campaign so that the messaging, including social media and TV and radio segments, focused not only on the general population in the areas with the highest rates, but also in areas where coccidioidomycosis is increasing at the fastest rates and with messaging targeted to groups at highest risk in those areas.Entities:
Mesh:
Year: 2020 PMID: 33270616 PMCID: PMC7714029 DOI: 10.15585/mmwr.mm6948a4
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
Demographic characteristics of persons with confirmed coccidioidomycosis cases (n = 65,438), by region of residence* — California, 2000–2018
| Characteristic | No. (%) [incidence]† | ||||||
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| California | Regions* | ||||||
| Southern San Joaquin Valley | Central Coast | Northern San Joaquin Valley | Southern Coast | Southern Inland | Northern and Eastern California | ||
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| Male | 41,902 (64.6) [10.2] | 26,776 (63.8) [110.9] | 3,569 (67.2) [13.4] | 1,901 (66.1) [8.2] | 6,267 (62.9) [3.4] | 1,400 (71.3) [3.3] | 1,989 (72.3) [1.7] |
| Female | 22,943 (35.4) [5.5] | 15,204 (36.2) [60.4] | 1,740 (32.8) [5.5] | 977 (33.9) [3.2] | 3,698 (37.1) [1.9] | 563 (28.7) [1.2] | 761 (27.7) [0.5] |
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| 0–19 | 7,304 (11.2) [3.1] | 6,009 (14.2) [32.5] | 415 (7.8) [2.4] | 229 (7.9) [1.4] | 441 (4.4) [0.5] | 88 (4.5) [0.2] | 122 (4.4) [0.2] |
| 20–39 | 21,147 (32.5) [9.3] | 15,743 (37.3) [104.7] | 1,366 (25.7) [9.9] | 633 (21.9) [5.7] | 2,253 (22.5) [2.1] | 481 (24.5) [1.7] | 671 (24.2) [0.2] |
| 40–59 | 23,583 (36.2) [10.8] | 14,485 (34.3) [123.0] | 2,129 (40.1) [15.4] | 1,205 (41.7) [11.2] | 3,828 (38.3) [3.7] | 809 (41.2) [3.3] | 1,127 (40.7) [1.6] |
| ≥60 | 13,101 (20.1) [7.9] | 5,961 (14.1) [70.8] | 1,402 (26.4) [14.9] | 823 (28.5) [8.0] | 3,477 (34.8) [5.6] | 586 (29.8) [4.0] | 852 (30.7) [2.0] |
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| White | 14,024 (33.0) [4.3] | 7,072 (27.5) [39.2] | 2,108 (51.2) [8.7] | 518 (34.5) [2.8] | 3,273 (39.2) [1.9] | 509 (36.6) [1.3] | 544 (39.1) [0.3] |
| Black | 4,062 (9.6) [9.0] | 2,378 (9.2) [123.8] | 235 (5.7) [19.2] | 111 (7.4) [8.1] | 956 (11.4) [3.7] | 184 (13.2) [2.8] | 198 (14.2) [1.2] |
| Hispanic | 19,484 (45.9) [7.1] | 13,874 (54.0) [60.0] | 1,420 (34.5) [8.2] | 569 (37.9) [5.3] | 2,787 (33.4) [2.1] | 516 (37.1) [1.7] | 318 (22.8) [0.6] |
| API | 2,763 (6.5) [2.4] | 1,122 (4.4) [38.6] | 164 (4.0) [7.1] | 185 (12.3) [7.4] | 962 (11.5) [1.6] | 92 (6.6) [1.7] | 238 (17.1) [0.3] |
Abbreviation: API = Asian/Pacific Islander.
* Southern San Joaquin Valley (Fresno, Kern, Kings, Madera, and Tulare counties), Central Coast (Monterey, San Luis Obispo, Santa Barbara, and Ventura counties), Northern San Joaquin Valley (Merced, San Benito, San Joaquin, and Stanislaus counties), Southern Coast (Los Angeles, Orange, and San Diego counties), Southern Inland (Imperial, Riverside, and San Bernardino counties), and Northern and Eastern California (all other California counties).
† Cases per 100,000 population; median annual incidence from 2000 to 2018 was age-adjusted to the United States 2000 standard population.
FIGURERatios of age-adjusted† annual coccidioidomycosis incidence, by region* — California, 2018 versus 2000 and 2018 versus 2014
* Southern San Joaquin Valley (Fresno, Kern, Kings, Madera, and Tulare counties), Central Coast (Monterey, San Luis Obispo, Santa Barbara, and Ventura counties), Northern San Joaquin Valley (Merced, San Benito, San Joaquin, and Stanislaus counties), Southern Coast (Los Angeles, Orange, and San Diego counties), Southern Inland (Imperial, Riverside, and San Bernardino counties), and Northern and Eastern California (all other California counties).
† All rates were age-adjusted to the United States 2000 standard population.
Multivariable regression models for risk for coccidioidomycosis not adjusted, adjusted, and stratified, by region — California, 2000–2018 (n = 40,264*)
| Characteristic | Relative risk† (95% CI) | ||||||
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| California | Regions§ | ||||||
| Not adjusted for region | Adjusted for region | Southern San Joaquin Valley | Central Coast | Northern San Joaquin Valley | Southern Coast | Southern Inland | |
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| 1.07 (1.06–1.08) | 1.08 (1.08–1.09) | 1.05 (1.04–1.06) | 1.08 (1.07–1.09) | 1.10 (1.08–1.11) | 1.12 (1.11–1.13) | 1.04 (1.02–1.05) |
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| Male | 2.12 (1.96–2.29) | 2.20 (2.09–2.31) | 1.95 (1.77–2.13) | 2.32 (2.03–2.64) | 2.28 (1.98–2.61) | 1.91 (1.78–2.04) | 2.86 (2.46–3.33) |
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| 20–39 | 3.04 (2.73–3.39) | 3.41 (3.15–3.69) | 3.18 (2.79–3.61) | 3.00 (2.45–3.68) | 3.19 (2.51–4.07) | 4.57 (4.00–5.23) | 5.34 (3.97–7.18) |
| 40–59 | 4.03 (3.61–4.50) | 5.60 (5.18–6.06) | 3.89 (3.41–4.43) | 5.24 (4.29–6.39) | 6.59 (5.24–8.30) | 8.39 (7.35–9.56) | 10.28 (7.71–13.70) |
| ≥60 | 3.77 (3.37–4.21) | 5.92 (5.45–6.42) | 2.98 (2.60–3.41) | 4.64 (3.77–5.71) | 7.37 (5.79–9.38) | 11.73 (10.27–13.40) | 12.56 (9.34–16.89) |
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| Black | 1.76 (1.59–1.96) | 2.13 (1.98–2.29) | 2.21 (1.94–2.51) | 2.22 (1.81–2.72) | 2.09 (1.65–2.63) | 1.84 (1.67–2.04) | 2.25 (1.83–2.76) |
| Hispanic | 1.81 (1.63–2.00) | 1.21 (1.14–1.29) | 1.55 (1.37–1.74) | 0.92 (0.79–1.07) | 1.41 (1.20–1.65) | 0.98 (0.90–1.07) | 1.07 (0.90–1.27) |
| API | 0.61 (0.55–0.68) | 0.98 (0.91–1.06) | 1.07 (0.93–1.22) | 0.68 (0.55–0.84) | 1.72 (1.41–2.10) | 0.81 (0.73–0.89) | 1.29 (1.00–1.66) |
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| N/A | 90.39 (81.63–100.09) | N/A | N/A | N/A | N/A | N/A |
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| N/A | 16.12 (14.46–17.98) | N/A | N/A | N/A | N/A | N/A |
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| N/A | 7.60 (6.76–8.55) | N/A | N/A | N/A | N/A | N/A |
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| N/A | 3.55 (3.20–3.93) | N/A | N/A | N/A | N/A | N/A |
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| N/A | 2.44 (2.16–2.74) | N/A | N/A | N/A | N/A | N/A |
Abbreviations: API = Asian/Pacific Islander; CI = confidence interval; cont. = continuous variable; N/A = not applicable; ref = regression reference group.
* Multivariable models included only data from cases with complete sex, age, and race/ethnicity.
Multivariable relative risk and associated 95% confidence intervals were calculated by negative binomial regression.
§ Southern San Joaquin Valley (Fresno, Kern, Kings, Madera, and Tulare counties), Central Coast (Monterey, San Luis Obispo, Santa Barbara, and Ventura counties), Northern San Joaquin Valley (Merced, San Benito, San Joaquin, and Stanislaus counties), Southern Coast (Los Angeles, Orange, and San Diego counties), Southern Inland (Imperial, Riverside, and San Bernardino counties), and Northern and Eastern California (all other California counties).
¶ Year was included in the model as a continuous variable.