Submitted:
02 April 2026
Posted:
03 April 2026
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Population and Sampling
2.2. Antigen
2.3. Application
2.4. Interpretation of Intradermal Test Results
2.5. Environmental Parameters
2.6. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| CM | Coccidioidomycosis |
| ST | Skin Test |
| coccidioidin-ST+ | Coccidioidin-positive skin test |
| OR | Odds ratio |
| CI | Confidence interval |
| SD | Standard deviation |
| °C | Degrees Celsius |
| mm | Millimeters |
| m | Meters |
| ENSO | El Niño–Southern Oscillation |
| BSks | Cold semi-arid climate (Köppen–Geiger classification) |
References
- Secretaría de Salud Cubos Dinámicos. Available online: http://www.dgis.salud.gob.mx/contenidos/basesdedatos/BD_Cubos_gobmx.html (accessed on 26 October 2025).
- Laniado Laborin, R.; Cárdenas Moreno, R.P.; Alvarez Cerro, M. Tijuana: zona endémica de infección por Coccidioides immitis. Salud Pública de México 1991, 33, 235–239. [Google Scholar] [PubMed]
- Castañón-Olivares, L.R.; Laniado-Laborín, R.; Concepcion, T.; Muñoz-Hernández, B.; Aroch-Calderón, A.; Aranda-Uribe, I.S.; Flores-Sánchez, M.A.; del Rocío González-Martínez, M.; Hernández-Navarez, A.; Manjarrez-Zavala, M.E.; et al. Clinical Comparison of Two Mexican Coccidioidins. Mycopathologia 2010, 169, 427–430. [Google Scholar] [CrossRef] [PubMed]
- Castañón-Olivares, L.; Higuera-Iglesias, A.; Arce-Ramírez, J.; Cervantes-Olivares, R.; Cicero-Sabido, R.; Contreras-Pérez, C. Skin Test with Coccidioidin in 13 Mexican Sites. In Proceedings of the 56th Annual Coccidioidomycosis Study Group Meeting, Tucson, Arizona, 2012. [Google Scholar]
- Hurtado-Montalvo, J.A.; Cerecer-Callu, P.; Esquer-Zamorano, R.A. Diagnóstico diferencial de coccidioidomicosis y tuberculosis en el niño. Enfermedades Infecciosas y Microbiología 1999, 19, 181–186. [Google Scholar]
- Baptista-Rosas, R.C.; Catalán-Dibene, J.; Romero-Olivares, A.L.; Hinojosa, A.; Cavazos, T.; Riquelme, M. Molecular Detection of Coccidioides spp. from Environmental Samples in Baja California: Linking Valley Fever to Soil and Climate Conditions. Fungal Ecology 2012, 5, 177–190. [Google Scholar] [CrossRef]
- Vargas-Gastélum, L.; Romero-Olivares, A.L.; Escalante, A.E.; Rocha-Olivares, A.; Brizuela, C.; Riquelme, M. Impact of Seasonal Changes on Fungal Diversity of a Semi-Arid Ecosystem Revealed by 454 Pyrosequencing. FEMS Microbiology Ecology 2015, 91. [Google Scholar] [CrossRef] [PubMed]
- Rojas, V.; Rivera Rodríguez, H.; Ponce Rosas, E.; Reyes Lira, J.; Galeana Pizaña, J.; Castañón-Olivares, L. Prevalencia de la Coccidioidomicosis en México; Universidad Autónoma Metropolitana, Unidad Xochimilco. Ciudad de México, 2016. [Google Scholar]
- Castañón-Olivares, L.; Almendares, I.; Narváez-Hernández, E.; Rojas Marín, V.; Reyes Lira, J.E. Intradermorreacción con Coccidioidina en Población de Valle de Las Palmas (VDLP); Universidad Nacional Autónoma de México: Ciudad Universitaria, CD, Mx., 2017; pp. 1–8. [Google Scholar]
- Secretaría de Salud Declaración de Helsinki. Antecedentes y Posición de la Comisión Nacional de Bioética.
- Farmacopea de los Estados Unidos Mexicanos (FEUM). Métodos de Productos Biológicos, MPB 005. Prueba de Actividad Biológica y de Identidad de Coccidioidina, 8.ª ed.; 2004; Vol. II. [Google Scholar]
- Farmacopea de los Estados Unidos Mexicanos (FEUM) Pruebas Biológicas (111). Diseño y Análisis de Valoraciones Biológicas., 25th ed.; 2007; Vol. I.
- Farmacopea de los Estados Unidos Mexicanos (FEUM): Estadística para Ensayos Biológicos, 8.ª ed.; 2004; Vol. II.
- Cuervo-Robayo, A.P.; Ureta, C.; Gómez-Albores, M.A.; Meneses-Mosquera, A.K.; Téllez-Valdés, O.; Martínez-Meyer, E. One Hundred Years of Climate Change in Mexico. PLoS ONE 2020, 15, e0209808. [Google Scholar] [CrossRef] [PubMed]
- García, E. Distribución de la Precipitación en la República Mexicana. Investigaciones Geográficas 2017. [Google Scholar] [CrossRef]
- Instituto Nacional de Estadística y Geografía. Continuo de Elevaciones Mexicano y Modelos Digitales de Elevación. Available online: https://www.inegi.org.mx/app/geo2/elevacionesmex/ (accessed on 10 November 2025).
- Instituto Nacional de Estadística y Geografía. Uso de Suelo y Vegetación. Available online: https://www.inegi.org.mx/temas/usosuelo/#descargas (accessed on 11 November 2025).
- Mann, H.B.; Whitney, D.R. On a Test of Whether One of Two Random Variables Is Stochastically Larger than the Other. The Annals of Mathematical Statistics 1947, 18, 50–60. [Google Scholar] [CrossRef]
- R Core Team R: A Language and Environment for Statistical Computing. Available online: https://www.r-project.org/ (accessed on 10 November 2025).
- Secretaría de Salud Boletín Epidemiológico, Semana 52. Sistema Nacional de Vigilancia Epidemiológica. 2024.
- Gorris, M.E.; Ardon-Dryer, K.; Campuzano, A.; Castañón-Olivares, L.R.; Gill, T.E.; Greene, A.; Hung, C.-Y.; Kaufeld, K.A.; Lacy, M.; Sánchez-Paredes, E. Advocating for Coccidioidomycosis to Be a Reportable Disease Nationwide in the United States and Encouraging Disease Surveillance across North and South America. JoF 2023, 9, 83. [Google Scholar] [CrossRef] [PubMed]
- Instituto Nacional de Estadística y Geografía. Síntesis de Información Geográfica del Estado de Baja California; INEGI: Aguascalientes, Ags., 2001; ISBN 970-13-3200-8. [Google Scholar]
- McCotter, O.Z.; Benedict, K.; Engelthaler, D.M.; Komatsu, K.; Lucas, K.D.; Mohle-Boetani, J.C.; Oltean, H.; Vugia, D.; Chiller, T.M.; Sondermeyer Cooksey, G.L.; et al. Update on the Epidemiology of Coccidioidomycosis in the United States. Medical Mycology 2019, 57, S30–S40. [Google Scholar] [CrossRef]
- Marsden-Haug, N.; Goldoft, M.; Ralston, C.; Limaye, A.P.; Chua, J.; Hill, H.; Jecha, L.; Thompson, G.R.; Chiller, T. Coccidioidomycosis Acquired in Washington State. Clinical Infectious Diseases 2013, 56, 847–850. [Google Scholar] [CrossRef] [PubMed]
- Carey, A.; Gorris, M.E.; Chiller, T.; Jackson, B.; Beadles, W.; Webb, B.J. Epidemiology, Clinical Features, and Outcomes of Coccidioidomycosis, Utah, 2006–2015. Emerging Infectious Diseases 2021, 27. [Google Scholar] [CrossRef] [PubMed]
- Gobierno de México. Informe Anual Sobre La Situación de Pobreza y Rezago Social 2025; Secretaría de Bienestar: Baja California, 2025; p. 4. [Google Scholar]
- Laws, R.L.; Jain, S.; Cooksey, G.S.; Mohle-Boetani, J.; McNary, J.; Wilken, J.; Harrison, R.; Leistikow, B.; Vugia, D.J.; Windham, G.C.; et al. Coccidioidomycosis Outbreak among Inmate Wildland Firefighters: California, 2017. American journal of industrial medicine 2021. [Google Scholar] [CrossRef] [PubMed]
- Sondermeyer Cooksey, G.L.; Wilken, J.A.; McNary, J.; Gilliss, D.; Shusterman, D.; Materna, B.L.; Vugia, D.J. Dust Exposure and Coccidioidomycosis Prevention Among Solar Power Farm Construction Workers in California. Am J Public Health 2017, 107, 1296–1303. [Google Scholar] [CrossRef] [PubMed]
- Freedman, M.; Jackson, B.R.; McCotter, O.; Benedict, K. Coccidioidomycosis Outbreaks, United States and Worldwide, 1940–2015. Emerg. Infect. Dis. 2018, 24, 417–423. [Google Scholar] [CrossRef] [PubMed]




| Variable | Category | Total, n (%) | Coccidioidin-ST+, n (%) | p-value |
| Sex | Female | 261 (62.7) | 83 (62.4) | 0.888 |
| Male | 154 (37.0) | 50 (37.6) | ||
| Age group | ≤10 y | 16 (3.8) | 3 (2.3) | 0.066 |
| 11–18 y | 20 (4.8) | 8 (6.0) | ||
| 19–30 y | 106 (25.5) | 27 (20.3) | ||
| 31–40 y | 79 (19.0) | 32 (24.1) | ||
| 41–50 y | 64 (15.4) | 22 (16.5) | ||
| 51–60 y | 55 (13.2) | 24 (18.0) | ||
| >61 y | 30 (7.2) | 6 (4.5) | ||
| No response | 46 (11.0) | 11 (8.3) | ||
| Underlying disease | Yes | 133 (32.0) | 36 (27.1) | 0.233 |
| No | 283 (68.0) | 97 (72.9) | ||
| Respiratory illness <3 months | Yes | 78 (18.8) | 39 (29.3) | 0.507 |
| No | 338 (81.2) | 94 (70.7) | ||
| Immunodeficiency | Yes | 15 (3.6) | 15 (11.3) | — |
| No | 401 (96.4) | 118 (88.7) | ||
| Allergies | Yes | 9 (2.2) | 9 (6.8) | <0.001 |
| No or unknown | 407 (97.8) | 124 (93.2) | ||
| Travel to Sonora/California/Arizona | Yes | 11 (2.6) | 11 (8.3) | 0.273 |
| No | 388 (93.3) | 109 (81.9) | ||
| No response | 17 (4.1) | 13 (9.8) | ||
| Occupation | Homemaker (household work) | 93 (22.4) | 47 (35.3) | 0.001 |
| Education worker | 83 (20.0) | 22 (16.5) | ||
| Agricultural laborer/factory worker | 54 (13.0) | 17 (12.8) | ||
| Office worker | 40 (9.6) | 10 (7.5) | ||
| Health worker | 58 (13.9) | 9 (6.8) | ||
| Retail/commerce worker | 23 (5.5) | 8 (6.0) | ||
| Field work | 9 (2.2) | 2 (1.5) | ||
| No response | 56 (13.5) | 18 (13.5) | ||
| Collection period | 2016 | 10 (2.4) | 6 (4.5) | 0.001 |
| 2017 | 53 (12.7) | 29 (21.8) | ||
| 2018 | 84 (20.2) | 22 (16.5) | ||
| 2019 | 111 (26.6) | 37 (27.8) | ||
| 2020 | 136 (32.7) | 32 (24.1) | ||
| 2021 | 11 (2.6) | 2 (1.5) | ||
| 2022 | 11 (2.6) | 5 (3.8) |
| Locality | Total, n (%) | Coccidiodin-ST+, n (%) | OR (95% CI) | p-value | Positivity group |
| San Felipe | 30 (7.21) | 5 (16.67) | Referent | — | Low |
| Ensenada | 11 (2.64) | 2 (18.18) | 1.11 (0.18–6.78) | 0.909 | Low |
| Vicente Guerrero | 74 (17.79) | 17 (22.97) | 1.49 (0.49–4.49) | 0.477 | Low |
| Terrazas del Valle | 47 (11.30) | 10 (21.28) | 1.35 (0.41–4.43) | 0.619 | Low |
| Mexicali | 106 (25.48) | 27 (25.47) | 1.71 (0.60–4.91) | 0.319 | Low |
| Plan Libertador | 37 (8.89) | 12 (32.43) | 2.40 (0.74–7.82) | 0.146 | High |
| Capilla Divino Niño | 11 (2.64) | 5 (45.45) | 4.17 (0.91–19.17) | 0.067 | High |
| La Morita | 37 (8.89) | 20 (54.05) | 5.88 (1.85–18.72) | 0.003 | High |
| Valle de las Palmas | 63 (15.14) | 35 (55.56) | 6.25 (2.12–18.43) | 0.001 | High |
| Variable | Capilla Divino Niño | Ensenada | La Morita | Mexicali | Plan Libertador | San Felipe | Terrazas del Valle | Valle de las Palmas | Vicente Guerrero |
| Annual mean temperature (°C) | 17.45 | 16.81 | 17.69 | 22.59 | 17.03 | 22.15 | 17.59 | 17.55 | 16.63 |
| Mean diurnal range (°C) | 13.97 | 11.48 | 12.98 | 16.96 | 10.67 | 13.00 | 13.49 | 15.98 | 12.35 |
| Isothermality (%) | 54.52 | 55.45 | 54.37 | 45.92 | 54.76 | 44.93 | 54.61 | 55.35 | 58.28 |
| Temperature seasonality (SD × 100) | 415.18 | 326.28 | 384.50 | 749.53 | 306.15 | 620.13 | 396.75 | 463.12 | 321.86 |
| Max temperature of warmest month (°C) | 31.77 | 27.45 | 30.60 | 42.47 | 27.24 | 37.42 | 31.09 | 33.82 | 27.19 |
| Min temperature of coldest month (°C) | 6.14 | 6.75 | 6.73 | 5.54 | 7.77 | 8.48 | 6.40 | 4.95 | 6.00 |
| Annual temperature range (°C) | 25.63 | 20.69 | 23.87 | 36.93 | 19.47 | 28.94 | 24.70 | 28.87 | 21.18 |
| Mean temperature of wettest quarter (°C) | 13.42 | 13.46 | 13.71 | 15.19 | 13.87 | 23.10 | 13.49 | 12.76 | 13.36 |
| Mean temperature of driest quarter (°C) | 20.55 | 19.05 | 20.20 | 25.23 | 20.10 | 23.93 | 20.24 | 20.93 | 18.69 |
| Mean temperature of warmest quarter (°C) | 23.29 | 21.25 | 22.89 | 31.87 | 21.23 | 29.89 | 22.97 | 23.75 | 21.02 |
| Mean temperature of coldest quarter (°C) | 13.42 | 13.46 | 13.71 | 14.67 | 13.87 | 15.74 | 13.49 | 12.76 | 13.36 |
| Annual precipitation (mm) | 266.00 | 238.39 | 264.50 | 69.01 | 310.75 | 63.43 | 272.41 | 243.22 | 164.10 |
| Precipitation of the wettest month (mm) | 55.16 | 54.33 | 57.40 | 12.61 | 78.77 | 13.24 | 57.04 | 57.95 | 39.11 |
| Precipitation of driest month (mm) | 1.40 | 0.96 | 1.25 | 0.56 | 0.84 | 0.31 | 1.36 | 1.52 | 0.57 |
| Precipitation seasonality (coefficient of variation) | 90.65 | 97.10 | 93.49 | 57.70 | 100.19 | 76.35 | 92.06 | 91.53 | 97.32 |
| Precipitation of the wettest quarter (mm) | 144.56 | 135.08 | 144.70 | 30.95 | 169.43 | 27.68 | 147.88 | 132.79 | 99.46 |
| Precipitation of driest quarter (mm) | 6.32 | 4.37 | 5.51 | 2.51 | 4.30 | 1.14 | 6.06 | 6.94 | 3.70 |
| Precipitation of the warmest quarter (mm) | 9.89 | 8.58 | 8.69 | 11.85 | 7.49 | 25.44 | 9.57 | 11.72 | 9.93 |
| Precipitation of coldest quarter (mm) | 144.56 | 135.08 | 144.70 | 28.81 | 169.43 | 18.64 | 147.88 | 132.79 | 99.46 |
| Slope (%) | 5.03 | 3.92 | 3.32 | 0.13 | 3.42 | 0.96 | 3.69 | 1.71 | 0.56 |
| Elevation (m) | 237.73 | 52.62 | 153.30 | 4.14 | 125.03 | 23.45 | 199.65 | 276.44 | 32.12 |
| Climate classification | BSks | BSks | BSks | BW(h’)(x’) | BSks | BW(h’)(x’) | BSks | BSks | BSks |
| Soil type | Leptosol | Eutric Fluvisol | Chromic Vertisol | Chromic Vertisol | Chromic Vertisol/ Calcaric Phaeozem | Orthic Solonchak | Chromic Vertisol | Eutric Fluvisol | Eutric Fluvisol |
| Land use/vegetation | Induced grassland | Chaparral | Settlements | Annual irrigated agriculture | Induced grassland | Desert microphyll scrub | Settlements | Secondary chaparral vegetation | Annual irrigated agriculture |
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