Table 1.
Municipalities and key factors that may modulate COVID-19 transmission.
| Municipality | Temperature | Humidity (%) | Density (inhab/km) | Population size inhabitants | (estimated) | HDI |
|---|---|---|---|---|---|---|
| Água Branca-AL | 23.9 | 83.3 | 42.6 | 19,377 | 0.80 | 0.549 |
| Altamira-PA | 26.3 | 85.6 | 0.6 | 99,075 | 4.64 | 0.665 |
| Avaré-SP | 21.3 | 75.6 | 68.4 | 82,934 | 1.05 | 0.862 |
| Bagé-RS | 18.1 | 73.4 | 28.5 | 116,794 | 0.46 | 0.740 |
| Bom Jesus-PI | 26.2 | 61.9 | 4.1 | 22,629 | 1.50 | 0.668 |
| Botucatu-SP | 19.3 | 67.0 | 85.9 | 127,328 | 1.14 | 0.800 |
| Cáceres-MT | 19.3 | 75.0 | 85.9 | 87,942 | 1.69 | 0.708 |
| Caracaraí-RR | 27.2 | 80.1 | 0.4 | 18,398 | 1.22 | 0.624 |
| Chapecó-SC | 19.3 | 76.0 | 293.1 | 183,530 | 1.89 | 0.790 |
| Colatina-ES | 25.0 | 77.5 | 78.9 | 111,788 | 0.99 | 0.746 |
| Cruzeiro do Sul-AC | 25.7 | 84.5 | 8.9 | 78,507 | 2.71 | 0.510 |
| Dourados-MS | 22.3 | 77.6 | 48.0 | 196,035 | 1.67 | 0.747 |
| Feira de Santana-BA | 25.2 | 82.2 | 416.0 | 556,642 | 1.31 | 0.712 |
| Imperatriz-MA | 26.6 | 80.2 | 180.8 | 247,505 | 2.69 | 0.731 |
| Itaperuna-RJ | 23.3 | 76.6 | 86.7 | 95,841 | 2.53 | 0.730 |
| Itumbiara-GO | 24.3 | 72.7 | 37.7 | 92,883 | 6.65 | 0.752 |
| Lages-SC | 16.6 | 81.1 | 56.6 | 156,727 | 3.44 | 0.770 |
| Marabá-PA | 27.0 | 83.3 | 15.4 | 233,669 | 2.44 | 0.668 |
| Maringá-PR | 22.9 | 70.4 | 733.1 | 357,077 | 1.06 | 0.808 |
| Mossoró-RN | 27.7 | 81.4 | 123.8 | 259,815 | 1.16 | 0.720 |
| Parintins-AM | 27.0 | 86.3 | 123.8 | 102,033 | 4.67 | 0.658 |
| Patos-PB | 27.2 | 70.1 | 212.8 | 100,674 | 3.76 | 0.701 |
| Petrolina-PE | 25.4 | 60.1 | 64.4 | 293,962 | 2.95 | 0.702 |
| Presidente Prudente-SP | 24.0 | 66.3 | 368.9 | 207,610 | 2.25 | 0.806 |
| Quixeramobim-CE | 26.4 | 73.3 | 22.0 | 71,887 | 3.03 | 0.642 |
| Remanso-BA | 26.7 | 68.6 | 8.3 | 38,957 | 1.12 | 0.579 |
| Santa Maria-RS | 19.4 | 81.3 | 146.0 | 261,031 | 1.03 | 0.784 |
| Sobral-CE | 26.0 | 85.9 | 88.7 | 188,233 | 3.54 | 0.714 |
| Uberlândia-MG | 22.8 | 73.9 | 146.8 | 604,013 | 1.33 | 0.789 |
Each line brings the variables value of the city pointed in the first column. In the case of temperature and humidity the values are the average one observed in April month in each locality31. The other factors like density, population size, and Human Development Index (HDI) come from government’s website13; are estimated from data32.