# Ensemble Machine Learning Model to Predict the Waterborne Syndrome
## 5 Discussions  
Waterborne diarr disease is a major cause of mortality and morbidity in low-income countries. Knowing its underlying incidence, causes, and management options is critical, especially in the aftermath of the COVID-19 epidemic, to prioritize intervention efforts to avert future waterborne outbreaks. Based on the data related to diarrhea prevalence, lifestyle and the level of hygiene maintained by patients, we find through this research that the prevalence of diarrheal disease is directly associated with the poverty levels that exist in developing and under-developed countries especially on the African and Asian continents. Living conditions due to poverty also result in poor housing conditions. This also leads to conditions where family members are forced into small and crowded housing complexes, which is further complicated by the lack of sufficient clean water. Additional factors that affect the prevalence of diarrhea include the lack of proper disposal methods for sanitary wastes, especially in remote regions, and living in close proximities to domestic animals, which facilitates the spread of numerous diseases, including diarrhea. Unlike COVID-19, \begin{table}
\begin{tabular}{l l l l l l} \hline \hline
**Symptoms** & **Attributes** & \multicolumn{3}{l}{**Data Classification (in\%)**} \\ \hline  & & **1 st Time** & **2 nd Time** & **3 rd Time** & **>3 Times** \\ \hline  & Abdominal Pain & 211 (2–68) & 80 (1–62) & 34 (20–64) & 55 (22–70) \\ \cline{2-6}  & Vomiting & 31 (1–56) & 6 (17–39) & 3 (16–42) & 3 (44–66) \\ \cline{2-6}  & Weakness & 12 (16–68) & 4 (25–55) & 1 (33–33) & 1 (46–46) \\ \cline{2-6}
1 st symptom & No Symptoms & 27 (3–65) & 14 (2–70) & 1 (42–42) & 6 (27–66) \\ \cline{2-6}  & Fever & 7 (3–62) & 5 (22–48) & 2 (26–37) & - \\ \cline{2-6}  & Nausea & 20 (11–58) & 9 (28–53) & 1 (22–22) & 5 (29–65) \\ \cline{2-6}  & Acute Watery Diarrhea & 10 (15–54) & - & 1 (49) & 1 (42) \\ \cline{2-6}  & Fatigue & 11 (22–62) & 4 (16–57) & - & 1 (47) \\ \cline{2-6}  & Dry Mouth & 3 (30–39) & - & - & - \\ \hline  & No Symptoms & 184 (3–68) & 65 (1–70) & 19 (16–59) & 31 (22–70) \\ \cline{2-6}  & Acute Watery Diarrhea & 28 (1–65) & 2 (26–28) & 4 (35–64) & 1 (54) \\ \cline{2-6}  & Vomiting & 64 (2–56) & 20 (1–62) & 8 (21–64) & 11 (38–68) \\ \cline{2-6}  & Fever & 12 (15–40) & 13 (1–57) & 4 (35–46) & 11 (29–60) \\ \cline{2-6}  & Abdominal Pain & 9 (20–58) & 4 (28–39) & - & - \\ \cline{2-6}  & Nausea & 11 (13–50) & 7 (16–51) & 4 (37–42) & 11 (40–69) \\ \cline{2-6}  & Weakness & 21 (16–49) & 4 (18–62) & 4 (32–42) & 6 (35–63) \\ \cline{2-6}  & Headache & 3 (9–38) & 7 (31–51) & - & 1 (44) \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Data classification on disease symptoms and their repetitions. \begin{table}
\begin{tabular}{l l l l l l} \hline \hline
**Symptoms** & **Attributes** & \multicolumn{3}{l}{**Data Classification (in\%)**} \\ \hline  & & **1 st Time** & **2 nd Time** & **3 rd Time** & **>3 Times** \\ \hline  & No Symptoms & 95.19 & 93.29 & 79.69 & 87.37 \\ \cline{2-6}  & Fever & 0.27 & 0.67 & 1.56 & 2.11 \\ \cline{2-6}
3 rd Symptom & Abdominal Pain & 1.07 & 0.67 & 3.13 & 1.05 \\ \cline{2-6}  & Nausea & 0.80 & 1.34 & 4.69 & 2.10 \\ \cline{2-6}  & Acute Watery Diarrhea & 0.53 & 0.67 & 1.56 & 3.16 \\ \cline{2-6}  & Weakness & 0.80 & 2.01 & 4.69 & 2.10 \\ \cline{2-6}  & Vomiting & 1.33 & 1.34 & 4.69 & 2.10 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Data classification statistics including outliers’ data on disease symptoms. this study revealed that diarrheal disease did not spread among family members living in the same household. Only one family member was affected by diarrhea in 13% of the cases examined; in 7% of the cases, two family members were affected by diarrheal illness. Based on the water source and water quality findings, we see that the diarrhea-related risk factors are directly associated with the quality and source of water used for daily life. Water source and quality were assessed for drinking, cooking, bathing, and washing for daily needs.