# Bacterial Aerosol in Ambient Air--A Review Study
## 3 Discussion
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Independent** & \multicolumn{2}{c}{**Correlation**} & \multicolumn{2}{c}{**Total Bacteria**} & **References** \\ \cline{2-5}
**Variable** & \(R\) & \(p\) & **CFU/m3** & \\ \hline
10.7–40 & 0.150 winter & * & 1–40 & \\
14.3–43.4 & 0.530 spring & & 6–68 & [42] \\
12.7–58.2 & & \(>\)0.05 & 35–116 & [43] \\ \(<\)50 & city & 0.529 & 868 & \\ \(>\)50 & city & & 609 & \\ \(<\)50 & island & 0.291 & 57 & [45] \\ \(>\)50 & island & & 53 & \\
58.04–76.3 & \(-\)0.530 & & 790.6–1514.8 & [46] \\
66.6 \(\pm\) 13.8 & 0.041 autumn & & 523.5 \(\pm\) 301.1 & [47] \\
54.4 \(\pm\) 8.9 & 0.121 winter & & 581 \(\pm\) 305.4 & [48] \\
43.6 (12–89) & 0.6 & * & 4595 \(\pm\) 3410 & [48] \\
36.5–74.6 & 0.64 & * & 1963 \(\pm\) 616 & [49] \\
63.5–84.43 & 0.500 & & 497.7–1736.5 & [62] \\
20.72–76.5 & \(-\)0.221 CB & & 129–5035 (FB + CB) & [63] \\
43–93 & \(-\)0.7410 & * & 36.7–268.04 & [64] \\
53.96–92.8 & 0.05 pre-COVID-19 & & 782 & \\
35.43–88.79 & \(-\)0.10 during COVID-19 & & 602 & [65] \\
34.83–89.29 & \(-\)0.20 post-COVID-19 & & 529 & \\
55.6–85 & \(-\)0.416* TB & & 33–664 & [68] \\  & \(-\)0.273 MB & & 63–815 & \\
8.5–59 & \(-\)0.720 & * & 101–3800 & [69] \\
46.7–60.7 & \(-\)0.006 & & 111–536 & [70] \\ Solar radiation, W/m\({}^{2}\) & & & \\
461.1 \(\pm\) 246.5 & \(-\)0.329 spring & * & 355 (80–1124) & [4] \\
145.4 \(\pm\) 118.5 & \(-\)0.603 winter & * & 65 (4–265) & \\
1.5–12.3 UV\({}_{\rm index}\) & & \(>\)0.05 & 35–116 & [43] \\
358–596 & 0.49 & & 1963 \(\pm\) 616 & [49] \\
2.977–16.7346 & \(-\)0.489 & & 497.7–1736.5 & [62] \\
230–840 & 0.673 & * & 101–3800 & [69] \\ Wind speed, & & & \\ m/s & & & \\
2.58 \(\pm\) 1.44 & \(-\)0.040 spring & & 355 (80–1124) & [4] \\
4.00 \(\pm\) 1.75 & \(-\)0.102 winter & & 65 (4–265) & [4] \\
3.7 (0–6) & & \(>\)0.05 & 570 \(\pm\) 313 & [24] \\
1.9–3.3 & & 0.009 & 35–116 & [43] \\
15–25 (knots) & city & \(<\)0.0001 & 924 & \\ \(>\)25 (knots) & city & & 2069 & \\ \(<\)10 (knots) & city & & 469 & \\
10–15 (knots) & city & & 868 & [45] \\
15–25 (knots) & island & \(<\)0.001 & 38 & \\ \(>\)25 (knots) & island & & 135 & \\ \(<\)10 (knots) & island & & 36 & \\
1.24–2.42 & 0.06 & & 1963 \(\pm\) 616 & [49] \\
0.6–3.11 & \(-\)0.06 pre-COVID-19 & & 782 & \\
0.53–3.34 & 0.05 during COVID-19 & & 602 & [65] \\
0.42–3.34 & \(-\)0.07 post-COVID-19 & & 529 & \\  & 0.08 & 14–2999 & [66] \\
2.3–5.4 & \(-\)0.030 TB & & 33–664 & [68] \\  & \(-\)0.017 MB & & 63–815 & [68] \\
2.38–4.86 & 0.659 & * & 101–3800 & [69] \\ Rainfall, mm & & & \\
0–8.48 & 0.42 & * & 1963 \(\pm\) 616 & [49] \\
1.5–4.3 & \(-\)0.385 & & 101–3800 & [69] \\ \hline \hline \end{tabular}  
* \(p<\) 0.05, **\(p<\) 0.01, GP—Gram-positive bacteria, GB—Gram-negative bacteria, TB—terrestrial bacteria, MB—marine bacteria, FB——Game bacteria, CB—coarse bacteria.  
\end{table} 
Table 2: _Cont._As shown in Tables 1 and 2, researchers most frequently analyze correlations between bacterial aerosols and fine particles (PM\({}_{2.5}\)), temperature, and humidity. The fewest studies involve submicron particles (PM\({}_{1}\)) and rainfall. The data highlight the influence of location (terrestrial and marine) and season, particularly winter. However, we did not distinguish between haze and non-haze days, following the approach of [PERSON] et al. [63], who analyzed bacterial concentrations under different air pollutant levels during the same month, as well as the same pollutant levels across different months, and found no significant differences between haze and non-haze days.