It sounds like this would be best to tell your primary care provider (e.g., your family doctor; i.e., the symptoms part). They can help you rule out issues or refer you to other resources if needed.
Begum, A. M., & Mobin, M. A. (2025). A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets. Scientific Reports, 15(1), Article 19469. https://doi.org/10.1038/s41598-025-04236-5
Jain, P., Barber, Q. E., Taylor, S. W., Whitman, E., Castellanos Acuna, D., Boulanger, Y., Chavardès, R. D., Chen, J., Englefield, P., Flannigan, M., Girardin, M. P., Hanes, C. C., Little, J., Morrison, K., Skakun, R. S., Thompson, D. K., Wang, X., & Parisien, M.-A. (2024). Drivers and impacts of the record-breaking 2023 wildfire season in Canada. Nature Communications, 15(1), Article 6764. https://doi.org/10.1038/s41467-024-51154-7
It sounds like this would be best to tell your primary care provider (e.g., your family doctor; i.e., the symptoms part). They can help you rule out issues or refer you to other resources if needed.
It sounds like this would be best to tell your primary care provider (e.g., your family doctor). They can help you rule out issues.
Begum, A. M., & Mobin, M. A. (2025). A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets. Scientific Reports, 15(1), Article 19469. https://doi.org/10.1038/s41598-025-04236-5
Government of Canada. 2025. Greenhouse gas emissions. https://www.canada.ca/en/environment-climate-change/services/environmental-indicators/greenhouse-gas-emissions.html
Jain, P., Barber, Q. E., Taylor, S. W., Whitman, E., Castellanos Acuna, D., Boulanger, Y., Chavardès, R. D., Chen, J., Englefield, P., Flannigan, M., Girardin, M. P., Hanes, C. C., Little, J., Morrison, K., Skakun, R. S., Thompson, D. K., Wang, X., & Parisien, M.-A. (2024). Drivers and impacts of the record-breaking 2023 wildfire season in Canada. Nature Communications, 15(1), Article 6764. https://doi.org/10.1038/s41467-024-51154-7