| Literature DB >> 34046307 |
Matheus Negri Boschiero1, Camila Vantini Capasso Palamim1,2, Manoela Marques Ortega1,2, Renan Marrichi Mauch3, Fernando Augusto Lima Marson1,2.
Abstract
Background: Coronavirus Disease 2019 (COVID-19) became the deadliest pandemic of the new millennium. One year after it became a pandemic, the current COVID-19 situation in Brazil is an example of how the impacts of a pandemic are beyond health outcomes and how health, social, and political actions are intertwined.Entities:
Year: 2021 PMID: 34046307 PMCID: PMC8139306 DOI: 10.5334/aogh.3182
Source DB: PubMed Journal: Ann Glob Health ISSN: 2214-9996 Impact factor: 2.462
Total of confirmed cases and deaths due to COVID-19 in each region and globally (adapted from WHO, 2021) [8].
| REGION | CONFIRMED CASES | DEATHS (% LETHALITY RATE) |
|---|---|---|
| Africa | 2,924,244 | 74,143 (2.54) |
| Americas | 52,386,995 | 1,258,134 (2.40) |
| Eastern Mediterranean | 6,793,641 | 149,400 (2.20) |
| Europe | 40,438,291 | 897,540 (2.22) |
| South-East Asia | 13,819,871 | 211,740 (1.53) |
| Western Pacific | 1,694,716 | 30,076 (1.77) |
| 118,058,503 | 2,621,046 (2.22) | |
WHO, World Health Organization; %, percentage.
Demographic characteristics of COVID-19 in Brazil on March 12, 2021 [932].
| STATES AND THE FEDERAL DISTRICT | CASES | DEATHS | CASE FATALITY RATE | CASES/100,00 INHABITANTS | DEATHS/100,00 INHABITANTS | ADHESION FOR SOCIAL ISOLATION (%) | RESPIRATORY VENTILATORS DISTRIBUTED BY MINISTRY OF HEALTH | RESPIRATORY VENTILATORS BILLED BY STATES | TOTAL AMOUNT PAID (R$) PER MILLION | AMOUNT PAID (R$) PER UNIT MILLION ON (THOUSAND) | TOTAL RT-PCR TESTS (TOTAL PAID R$) | TOTAL QUICK TESTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11,277,717 | 272,889 | 2.42 | 5,366.6 | 129.9 | 14,725,497 (748,194,799) | 8,836,305 | ||||||
| 1,196,427 | 24,014 | 2.01 | 7,341.4 | 147.4 | 972,888 (49,661,242) | 770,120 | ||||||
| Gois | 425,206 | 9,332 | 2.19 | 6,058.5 | 133.0 | 36.6 | 413 | 156,272 (8,281,255) | 252,240 | |||
| Mato Grosso | 266,939 | 6,097 | 2.28 | 7,660.8 | 175.0 | 38.8 | 216 | 120(50 national) | 7.4 (2.2) | 61.7 (44) | 203,808 (9,972,691) | 116,540 |
| Distrito Federal | 312,956 | 5,048 | 1.61 | 10,379.0 | 167.4 | 40.3 | 250 | 274,680 (14,013,668) | 300,640 | |||
| Mato Grosso do Sul | 191,326 | 3,537 | 1.85 | 6,884.7 | 127.3 | 37.1 | 155 | 11(+ 25 portable) | 1.5 (1.4) | 135 (55.7) | 338,128 (17,393,626) | 100,700 |
| 2,183,813 | 35,899 | 1.64 | 7,285.2 | 119.8 | 2,887,556 (147,765,115) | 1,162,040 | ||||||
| Santa Catarina | 717,454 | 8,377 | 1.17 | 10,013.6 | 116.9 | 38.7 | 98 | 50* | 33* | 165* | 334,264 (18,230,532) | 266,140 |
| Rio Grande do Sul | 720,461 | 14,363 | 1.99 | 6,332.5 | 126.2 | 43.6 | 486 | 571,284 (27,305,593) | 468,300 | |||
| Paran | 745,898 | 13,159 | 1.76 | 6,523.5 | 115.1 | 37.6 | 544 | 1,982,008 (102,228,989) | 427,600 | |||
| 1,226,601 | 28,982 | 2.36 | 6,655.1 | 157.2 | 1,440,140 (73,190,252) | 606,000 | ||||||
| Acre | 61,394 | 1,094 | 1.78 | 6,961.3 | 124.0 | 43 | 170 | 129,724 (6,666,490) | 26,560 | |||
| Rondnia | 162,818 | 3,278 | 2.01 | 9,161.4 | 184.4 | 41 | 248 | 208,696 (10,412,872) | 58,060 | |||
| Tocantins | 122,426 | 1,623 | 1.33 | 7,783.6 | 103.2 | 35 | 115 | 168,196 (8,423,864) | 59,200 | |||
| Amazonas | 328,763 | 11,431 | 3.48 | 7,932.3 | 275.8 | 40.6 | 222 | 28 | 2.9 | 103.5 | 237,668 (11,761,688) | 162,060 |
| Amap | 87,095 | 1,169 | 1.34 | 10,298.2 | 138.2 | 41.8 | 125 | 325,516 (15,139,839) | 23,840 | |||
| Par | 379,196 | 9,171 | 2.42 | 4,407.8 | 106.6 | 38.2 | 409 | 400 | 50.4 | 126 | 260,236 (14,809,776) | 258,940 |
| Roraima | 84,909 | 1,216 | 1.43 | 14,016.9 | 200.7 | 39.4 | 162 | NI | NI | 215.4 | 110,104 (5,975,729) | 17,340 |
| 2,617,780 | 60,158 | 2.30 | 4,586.8 | 105.4 | 3,718,896 (187,054,809) | 2,103,440 | ||||||
| Alagoas | 138,065 | 3,150 | 2.28 | 4,137.0 | 94.4 | 41.7 | 185 | 106,884 (5,947,398) | 112,920 | |||
| Pernambuco | 313,227 | 11,269 | 3.60 | 3,277.4 | 117.9 | 44.5 | 205 | 500 | NI | NI | 314,552(17,009,411) | 335,640 |
| Bahia | 730,542 | 12,961 | 1.77 | 4,911.8 | 87.1 | 42.2 | 491 | 300 | 48.7 | 162.4 | 836,932(40,490,720) | 531,300 |
| Paraba | 234,254 | 4,832 | 2.06 | 5,829.9 | 120.3 | 41.8 | 285 | 30 | 4.9 | 164 | 155,548 (8,147,262) | 164,260 |
| Sergipe | 157.340 | 3,072 | 1.95 | 6,844.8 | 133.6 | 42.5 | 140 | 571,728 (26,433,375) | 79,760 | |||
| Piau | 182,650 | 3,545 | 1.94 | 5,580.1 | 108.3 | 43.1 | 105 | 204,492(10,183,466) | 147,780 | |||
| Cear | 456,948 | 12,087 | 2.65 | 5,003.8 | 132.4 | 42.1 | 268 | 1,039,460 (54,432,045) | 318,600 | |||
| Maranho | 226,172 | 5,413 | 2.39 | 3,196.7 | 76.5 | 39.1 | 281 | 215,412 (10,812,174) | 233,800 | |||
| Rio Grande do Norte | 178,582 | 3,829 | 2.14 | 5,092.4 | 109.2 | 40.4 | 274 | NI | NI | ~70.4 | 273,888 (13,598,954) | 179,380 |
| 4,053,096 | 123,836 | 3.06 | 4,586.4 | 140.1 | 5,705,712(290,523,379) | 3,816,545 | ||||||
| So Paulo | 2,164,066 | 63,010 | 2.91 | 4,712.8 | 137.2 | 38.5 | 838 | 3,000b | 550 | 189.2 | 2,536,944 (133,193,867) | 1,743,880 |
| Esprito Santo | 340,808 | 6,656 | 1.95 | 8,480.7 | 165.6 | 38.6 | 210 | 178,728 (8,856,083) | 202,300 | |||
| Rio de Janeiro | 601,666 | 34,083 | 5.66 | 3,484.9 | 197.4 | 40.8 | 993 | 1,000* | 183.5* | 183.5* | 2,228,728(114,858,287) | 1,049,245 |
| Minas Gerais | 946,556 | 20,087 | 2.12 | 4,471.5 | 94.9 | 37.8 | 561 | 1,047 | 51 | 48.7 | 761,312 (33,615,140) | 821,120 |
NI, not informed. The data was collected at . Accessed on March 12, 2021. The number for social isolation was obtained at InLoco [56]. The number of respiratory ventilators distributed by Ministry of Health was collected on [9]. *, the purchase was canceled due to possible irregularities; **, the information was retrieved during July 2020. a, 1,820 were purchased with a cost of R$ 242,200,000.
Distribution of indigenous people affected by COVID-19. Suspected, confirmed, recovered cases, and deaths distributed by the special indigenous health district (dSEI) on March 12, 2021 [9].
| dSEI | SUSPECTED CASES | CONFIRMED CASES | ACTIVE CASES | CLINICAL CURE (RECOVERED CASES) | DEATHS |
|---|---|---|---|---|---|
| Alagoas and Sergipe | 18 | 331 | 13 | 311 | 5 |
| Altamira | 0 | 1,713 | 3 | 1,707 | 2 |
| Alto Rio Juru | 0 | 863 | 8 | 844 | 10 |
| Alto Rio Negro | 34 | 2,234 | 144 | 2,063 | 25 |
| Alto Rio Purus | 0 | 638 | 9 | 621 | 7 |
| Alto Rio Solimes | 0 | 2154 | 25 | 2074 | 47 |
| Amap and Norte do Par | 25 | 978 | 37 | 934 | 5 |
| Araguaia | 0 | 346 | 8 | 331 | 7 |
| Bahia | 18 | 932 | 70 | 852 | 8 |
| Cear | 90 | 1,092 | 113 | 969 | 8 |
| Cuiab | 32 | 1,301 | 56 | 1,221 | 24 |
| Guam-Tocantins | 12 | 1,509 | 8 | 1,481 | 17 |
| Interior Sul | 103 | 2,647 | 143 | 2,456 | 46 |
| Kaiap do Mato Grosso | 9 | 1,000 | 0 | 994 | 5 |
| Kaiap do Par | 29 | 1,222 | 0 | 1,177 | 9 |
| Leste de Roraima | 22 | 3,855 | 238 | 3,553 | 56 |
| Litoral Sul | 7 | 1,279 | 3 | 1,257 | 17 |
| Manaus | 28 | 1,136 | 2,252 | 962 | 16 |
| Maranho | 0 | 1,687 | 1,042 | 1,654 | 27 |
| Mato Grosso Do Sul | 0 | 4,261 | 25 | 4,143 | 85 |
| Mdio Rio Purus | 0 | 517 | 0 | 512 | 5 |
| Mdio Rio Solimes and Afluentes | 6 | 765 | 22 | 730 | 11 |
| Minas Gerais and Esprito Santo | 14 | 580 | 39 | 534 | 6 |
| Parintins | 45 | 596 | 11 | 570 | 12 |
| Pernambuco | 17 | 624 | 4 | 607 | 10 |
| Porto Velho | 23 | 1,344 | 31 | 1,301 | 11 |
| Potiguara | 2 | 709 | 1 | 704 | 4 |
| Rio Tapajs | 0 | 2,016 | 47 | 1,950 | 16 |
| Tocantins | 1 | 1,176 | 0 | 1,162 | 10 |
| Vale do Javari | 0 | 822 | 0 | 818 | 2 |
| Vilhena | 70 | 899 | 0 | 883 | 15 |
| Xavante | 1 | 908 | 20 | 832 | 50 |
| Xingu | 103 | 1,029 | 278 | 718 | 16 |
| Yanomami | 9 | 1,485 | 807 | 664 | 11 |
Spearman correlation between adhesion to social isolation measures (% of population) during the COVID-19 pandemic and number of votes to President Jair Messias Bolsonaro (% of population in the first and second round of election) [69].
| PHYSICAL ISOLATION | CORRELATION | FIRST ROUND OF ELECTIONS | SECOND ROUND OF ELECTIONS |
|---|---|---|---|
| First month (% after 30 days of first confirmed case) | Correlation coefficient | 0.299** | 0.197* |
| p-value | 0.002 | 0.046 | |
| Minor adhesion (%) | Correlation coefficient | 0.280** | 0.175 |
| p-value | 0.004 | 0.076 | |
| Major adhesion (%) | Correlation coefficient | 0.293** | 0.218* |
| p-value | 0.003 | 0.027 | |
Correlation between number of vaccine shots, SARS-CoV-2 RT-PCR tests and confirmed COVID-19 cases, deaths due COVID-19, and lethality rate. Data retrieved from 112 countries and territories.
| MARKERS | DATA | VACCINATIONS DOSAGES | VACCINATION PER 100 PEOPLE | NUMBER OF RT-PCR TESTS | NUMBER OF RT-PCR TESTS/1M INHABITANTS |
|---|---|---|---|---|---|
| Confirmed COVID-19 Cases | CC | 0.051 | 0.075 | ||
| P-value | 0.593 | 0.438 | |||
| Death due COVID-19 | CC | 0.104 | 0.138 | ||
| P-value | 0.274 | 0.152 | |||
| Lethality | CC | ||||
| P-value | |||||
| Confirmed cases/1M | CC | 0.164 | |||
| P-value | 0.087 | ||||
| Death/1M | CC | ||||
| P-value | |||||
| Number of RT-PCR tests | CC | 0.033 | 0.095 | ||
| P-value | 0.731 | 0.327 | |||
| Number of RT-PCR tests/1M Inhabitants | CC | 0.023 | 0.095 | ||
| P-value | 0.812 | 0.327 | |||
CC, coefficient correlation; 1M, one million; RT-PCR, real time polymerase chain reaction. The Supplement 2 demonstrated the data used to perform the correlation. The information for COVID-19 Cases, Death due COVID-19, Lethality and SARS-CoV-2 RT-PCR was obtained using WorldOMeter. Cases of Coronavirus in Brazil. 2021. Accessed on March 11, 2021. Available at [10]. The reference for the number of vaccinations dosages was retrieved from Coronavirus (COVID-19) Vaccinations on March 11, 2021 at .
Major differences between in Brazilian private and public health care (March 01 2020 to March 10 2021) [42].
| MARKERS | ALL | PRIVATE | PUBLIC |
|---|---|---|---|
| COVID-19 new hospitalizations | 106,546 | 74,405 | 32,141 |
| Ventilatory support | |||
| Noninvasive ventilatory support | 31.8% | 32.4% | 30.2% |
| Mechanical ventilation | 46.9% | 39.6% | 64.0% |
| Mechanical ventilation (days) | 13 | 14 | 11.5 |
| Amines | 33.0% | 27.8% | 45.3% |
| Kidney Support | 12.0% | 10.1% | 16.5% |
| ICU hospitalizations (days) | 12.2 | 11.9 | 12.7 |
| > 7 days | 49.9% | 48.0% | 54.4% |
| > 21 days | 14.5% | 14.4% | 14.9% |
| ICU mortality | 34.1% | 27.5% | 49.7% |
| Hospital mortality | |||
| All patients | 35.6% | 28.9% | 51.9% |
| All patients with no ventilatory support | 9.2% | 7.4% | 16.6% |
| All patients with ventilatory support | 66.6% | 63.1% | 71.6% |
| Dialysate patients | 74.2% | 71.2% | 78.6% |
ICU, intensive care unit.
Number of health care worker accompted by SARS-CoV-2 infection during the first year of COVID-19 pandemic in Brazil.
| Health care worker | Number of COVID-19 cases until 27 February 2021 (%) |
|---|---|
| Nursing technicians and assistants | 159,786 (33.2%) |
| Nurses | 73,819 (15.3%) |
| Physicians | 53,549 (11.1%) |
| Community health agents | 24,540 (5.1%) |
| Health receptionist | 18,672 (3.9%) |
| Physiotherapists | 14,439 (3.0%) |
| Pharmaceuticals | 13,031 (2,7%) |
| Dental surgeons | 12,958 (2.7%) |
| Health promotion workers | 11,641 (2.4%) |
| Psychologists and psychoanalysts | 7,421 (1.5%) |
| Other HCW* | 91,429 (19.0%) |
| Total | 481,285 |
* Other HCW accounts for: managers and operations specialists in companies, departments, and health service units, endemic health agents, ambulance drivers, caregivers, health managers, dentistry technician, nutritionists, pharmacy and pharmaceutical manipulation technicians, social workers and home economists, technicians from health laboratories and blood banks, public health agents, biomedical, radiology assistants, attention, defense, and protection workers for people at risk and adolescents in conflict with the law, technologists and technicians in diagnostic and therapeutic methods, work safety technicians, other teaching professionals, health laboratory assistants, veterinarians and zootechnicians, telephone operators, speech therapists, rescuers (except doctors and nurses), physicists, technicians in food production, preservation and quality, physical education professionals, occupational therapists, orthopedists and psychomotricists, piotechnology professionals, teachers, biologists, production, quality, safety and related engineers, biological sciences researchers, electro-electronics and photonics technician working in healthcare, orthopedic immobilization technicians, health and environmental agents, technologists and technicians in complementary and aesthetic therapies, chemistry teachers, photographic and radiological laboratory workers, technicians in orthopedic prostheses, health records and information workers, optics and optometry technicians, food and related engineers, music therapists, art therapists, equotherapists or naturologists, doulas, lay midwives, electricity and electrotechnical technicians, professionals of creative, equotherapic, and naturological therapies, biotechnology support technicians, funeral service workers, osteopaths and chiropractors, bioengineering support technicians, necropsy technicians, and taxidermists.
The information was acquired from Ministrio da Sade. 44 e 52 Boletim epidemiolgico especial. 2020/2021. Accessed on 17 March 2021. Available at [9].