Shiyin Mu
Biographic Data
| ID | 7896031 |
|---|---|
| NAME | Shiyin Mu |
| GIVEN NAMES | Shiyin |
| FAMILY NAME | Mu |
| SIGNATURE | MU S |
| AFFILIATIONS | Guizhou University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Incorporating meteorological factors into a Sarima model for predicting pediatric influenza epidemics
Objective Influenza, a contagious respiratory illness, imposes a substantial global disease burden, underscoring the critical need for timely and accurate surveillance systems. Seasonal Autoregressive Integrated Moving Average (SARIMA) models excel in capturing seasonal patterns and trends of infectious diseases. The distinct seasonality of influenza suggests that meteorological factors significantly influence its transmission, though their speci…
Effects of Household Processing on Residues of the Chiral Fungicide Mandipropamid in Four Common Vegetables
The study aimed to detect the content of mandipropamid enantiomers in unprocessed and processed tomato, cucumber, Chinese cabbage, and cowpea samples and assess the health risks to Chinese consumers. Data showed that washing and soaking with an acidic solution reduced the mandipropamid residue from vegetable samples by 54.1-82.2%. The pickling process resulted in a 6.2-65.2% loss of mandipropamid from cucumber, Chinese cabbage, and cowpea samples…
No prominent works on this page.
Effects of Household Processing on Residues of the Chiral Fungicide Mandipropamid in Four Common Vegetables
The study aimed to detect the content of mandipropamid enantiomers in unprocessed and processed tomato, cucumber, Chinese cabbage, and cowpea samples and assess the health risks to Chinese consumers. Data showed that washing and soaking with an acidic solution reduced the mandipropamid residue from vegetable samples by 54.1-82.2%. The pickling process resulted in a 6.2-65.2% loss of mandipropamid from cucumber, Chinese cabbage, and cowpea samples…
Incorporating meteorological factors into a Sarima model for predicting pediatric influenza epidemics
Objective Influenza, a contagious respiratory illness, imposes a substantial global disease burden, underscoring the critical need for timely and accurate surveillance systems. Seasonal Autoregressive Integrated Moving Average (SARIMA) models excel in capturing seasonal patterns and trends of infectious diseases. The distinct seasonality of influenza suggests that meteorological factors significantly influence its transmission, though their speci…
Agricultural safety and regulations (1 work) · Agronomy (1 work) · Air temperature (1 work) · Autoregressive integrated moving average (1 work) · Biology (1 work) · Chemistry (1 work) · Contamination (1 work) · COVID-19 epidemiological studies (1 work) · Data-Driven Disease Surveillance (1 work) · Estimation (1 work)