| Literature DB >> 35340279 |
Thales Philipe Rodrigues da Silva1, Leyla Gabriela Verner Amaral Brandão2, Ed Wilson Rodrigues Vieira3, Thalita Beatriz Santos Maciel4, Tércia Moreira Ribeiro da Silva3, Bianca Maria Oliveira Luvisaro2, Fabiana Ramos de Menezes2, Fernanda Penido Matozinhos3.
Abstract
Objective: Analyzing the impact of COVID-19 pandemic on meningococcal C conjugate vaccination in Brazil.Entities:
Keywords: COVID-19; Meningococcal Meningitis; Vaccine-preventable diseases
Year: 2022 PMID: 35340279 PMCID: PMC8933283 DOI: 10.1016/j.jvacx.2022.100156
Source DB: PubMed Journal: Vaccine X ISSN: 2590-1362
Median and rate of variation in the median number of MenC vaccine doses applied in Brazil, before and during the COVID-19 pandemic, per Brazilian region and state.
| Median (Interquartile range) | ||||
|---|---|---|---|---|
| Mar −19 to Feb − 20 | Mar-20 to Dec-20 | Variation (%) | ||
| 19,139 (10,424.5–37,413) | 12,335.5 (7,008–24,216) | −35.55 | ||
| 7,892 (4,409–20,421.5) | 4,963(2,328–12,373) | −37.11 | ||
| Acre | 4,692.5 (4,149.5–5,126.5) | 2,405.5 (2,328–2,518) | −48.74 | |
| Amapá | 4,524.5 (3,584.5–4,793.5) | 1,423.5 (863–1,867) | −68.54 | |
| Amazonas | 24,773 (22,246–27,246) | 16,208.5(13,262–17,912) | −34.57 | |
| Pará | 36,142 (30,333–39,584.5) | 20,729.5(15,566–24,423) | −42.64 | |
| Rondônia | 8,789(8,067–9,855) | 6,227.5(5,695–6,583) | −29.14 | |
| Roraima | 3,287.5 (3,201.5–3,572.5) | 2,364.5 (2,069–2,598) | −28.08 | |
| Tocantins | 8,433(7,520–9,117.5) | 5,292 (4,843–5,591) | −37.25 | |
| 14,967.5(11,590–32,425.5) | 10,929.5(8,105–21,888) | −26,98 | ||
| Alagoas | 11,388 (9,628–11,891) | 8,572 (7,446–10,152) | −24.73 | |
| Bahia | 59,631.5(46,967.5–63,415) | 33,880(28,865–36,501) | −43.18 | |
| Ceará | 41,243 (35,770–43,022.5) | 22,612 (19,427–24,453) | −45.17 | |
| Maranhão | 29,344.5(24,979.5–32,293.5) | 15,992.5(12,902–18,078) | −45.50 | |
| Paraíba | 13,858(12,599–15,211.5) | 9,536.5(7,831–10,565) | −31.18 | |
| Pernambuco | 30,865.5(27,215.5–32,482.5) | 24,043.5(21,570–25,128) | –22.10 | |
| Piauí | 14,130(12,390.5–14,834) | 9,119(7,966–9,894) | −35.46 | |
| Rio Grande do Norte | 12,265.5 (10,561–14,519.5) | 8,545(7,107–9,088) | −30.33 | |
| Sergipe | 10,547.5(8,283–11,567.5) | 5,712(5,167–6,097) | −45.84 | |
| 14,320(11,879.5–20,302.5) | 10,534 (8,695–14,052,5) | −26,44 | ||
| Distrito Federal | 13,033.5 (11,965–14,067.5) | 8,420 (7,067–8,653) | −35.40 | |
| Goiás | 28,245 (23,396.5–29,467.5) | 17,220.5(15,964–17,979) | −39.03 | |
| Mato Grosso | 19,069.5 (17,133–19,419) | 12,214(11,442–13,390) | −35.95 | |
| Mato Grosso do Sul | 11,394 (9,678–11,879.5) | 9,697(8,737–10,264) | −14.89 | |
| 48,900.5(25,087–112,321) | 39,338(16,995–65,910.5) | −19,56 | ||
| Espírito Santo | 18,262.5 (16,587–20,209.5) | 11,580(10,337–12,393) | −36.59 | |
| Minas Gerais | 91,031(73,432–97,658) | 51,000.5 (47,970–54,628) | −43.97 | |
| Rio Janeiro | 38,381.5 (35,320.5–43,841) | 30,910(27,580–32,691) | −19.47 | |
| São Paulo | 174,258(161,532.5–183,541) | 90,504.5 (79,832–97,115) | −48.06 | |
| 45,417(36,055–52,827.5) | 26,581.5 (21,807–30,739) | −41.47 | ||
| Paraná | 54,836 (46,453.5–58,201) | 31.126(29.812–33.796) | −43.24 | |
| Rio Grande do Sul | 46,199 (42,082.5–50,646.5) | 28.132(26.139–30.717) | −39.11 | |
| Santa Catarina | 35,659(30,871.5–37,640.5) | 20,116.5(17,981–21,807) | −43.59 | |
Notes:p = Percentile * Mann-Whitney test (difference between medians).
Fig. 1Interrupted time series trend analysis based on Brazilian region and states, and on the Federal District. Note: Acre – AC; Alagoas – AL; Amapá – AP; Amazonas – AM; Bahia - BA; Ceará – CE; Distrito Federal - DF; Espírito Santo – ES; Goiás – GO; Maranhão – MA; Mato Grosso – MT; Mato Grosso do Sul – MS; Minas Gerais – MG; Pará – PA; Paraíba – PB; Paraná – PR; Pernambuco – PE; Piauí – PI; Rio de Janeiro – RJ; Rio Grande do Norte – RN; Rio Grande do Sul – RS; Rondônia – RO; Roraima – RR; Santa Catarina – SC; São Paulo – SP; Sergipe – SE; Tocantins – TO.