| Literature DB >> 31533658 |
Abyot Bekele Woyessa1, Mohammed Seid Ali2, Tiala K Korkpor2, Roland Tuopileyi2, Henry T Kohar3, John Dogba4, April Baller2, Julius Monday2, Suleman Abdullahi2, Thomas Nagbe4, Gertrude Mulbah2, Mohammed Kromah2, Jeremy Sesay2, Kwuakuan Yealue2, Tolbert Nyenswah4, Mesfin Zbelo Gebrekidan2.
Abstract
BACKGROUND: Rubella is an RNA virus in the genus Rubivirus within the Matonaviridae family. Rubella remains a leading vaccine-preventable cause of birth defects. Most African countries including Liberia do not currently provide rubella-containing vaccine (RCV) in their immunization program. We analyzed the existing surveillance data to describe rubella cases and identify the at-risk population.Entities:
Keywords: Epidemiology; Liberia; Measles case-based surveillance; Pre-vaccine era; Rubella; West Africa; Women of childbearing age
Mesh:
Substances:
Year: 2019 PMID: 31533658 PMCID: PMC6751791 DOI: 10.1186/s12879-019-4464-7
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Laboratory results for rubella-specific immunoglobulin M antibody testing of suspected measles cases, 2017–2018, Liberia
| Variables | aSuspected measles cases | bRubella IgM tested | Rubella IgM result | |||
|---|---|---|---|---|---|---|
| IgM + c (%) | IgM - | Indeterminate | dPositivity % | |||
| Total cases | 2027 | 1307 | 472 | 769 | 66 | 36 |
| Year | ||||||
| 2017 | 1191 | 882 | 353 (75) | 478 | 51 | 40 |
| 2018 | 836 | 425 | 119 (25) | 291 | 15 | 28 |
| Sex | ||||||
| Female | 1050 | 703 | 269 (57) | 404 | 30 | 38 |
| Male | 977 | 604 | 203 (43) | 365 | 36 | 34 |
| Age Group | ||||||
| < 1 Year | 81 | 37 | 6 (1) | 29 | 2 | 16 |
| 1–4 Years | 525 | 287 | 109 (23) | 172 | 6 | 38 |
| 5–9 Years | 647 | 460 | 207 (44) | 221 | 32 | 45 |
| 10–14 Years | 329 | 249 | 87 (18) | 145 | 17 | 35 |
| > 14 Years | 420 | 258 | 56 (12) | 195 | 7 | 22 |
| NA | 25 | 16 | 7 (1) | 7 | 2 | 44 |
| Women of Childbearing Age | 211 | 133 | 23 (5) | 106 | 4 | 17 |
aSuspected measles cases with known laboratory result, bsuspected measles cases which are negative and indeterminate for measles IgM and tested for Rubella IgM, cProportion of confirmed rubella cases from total rubella positive cases in each category, dRubella IgM positivity rate was calculated by dividing the number of Rubella IgM positive cases to specimen tested for rubella IgM with specific variables, IgM Immunoglobulin M, NA Not available
Fig. 1Frequency of laboratory-confirmed rubella-specific immunoglobulin M antibody testing result by age and sex with a cumulative age distribution curve, 2017–2018, Liberia, N = 472 (6 months to 61 years old)
Fig. 2Trends of rubella IgM positive cases by month, 2017–2018, Liberia, N = 472 and cumulative positivity rate = 36%
Laboratory results for rubella-specific immunoglobulin M antibody testing of suspected measles cases by county, 2017–2018, Liberia
| County | aSuspected measles cases | Rubella IgM tested | Rubella IgM result | |||
|---|---|---|---|---|---|---|
| IgM + | IgM - | Indeterminate | Positivity % | |||
| Montserrado | 325 | 166 | 72 | 80 | 14 | 43 |
| Lofa | 165 | 152 | 68 | 77 | 7 | 45 |
| Margibi | 236 | 158 | 66 | 84 | 8 | 42 |
| Bomi | 92 | 85 | 41 | 42 | 2 | 48 |
| Bong | 163 | 86 | 33 | 51 | 2 | 38 |
| Nimba | 219 | 98 | 29 | 63 | 6 | 30 |
| Sinoe | 86 | 69 | 29 | 37 | 3 | 42 |
| Grand Kru | 134 | 82 | 26 | 55 | 1 | 32 |
| Grand Gedeh | 127 | 89 | 20 | 63 | 6 | 22 |
| Maryland | 119 | 77 | 20 | 54 | 3 | 26 |
| Grand Bassa | 118 | 55 | 19 | 32 | 4 | 35 |
| Grand Cape Mount | 60 | 42 | 19 | 22 | 1 | 45 |
| River Gee | 94 | 80 | 17 | 57 | 6 | 21 |
| Gbarporlu | 29 | 25 | 7 | 18 | 0 | 28 |
| Rivercess | 60 | 43 | 6 | 34 | 3 | 14 |
| Total | 2027 | 1307 | 472 | 769 | 66 | 36 |
aSuspected measles cases with known laboratory result, IgM Immunoglobulin M
Fig. 3Map showing the distribution of rubella IgM positive cases and its positivity rate by district, 2017–208, Liberia
Annualized Rubella IgM positive cases incidence rate by county, 2017–2018, Liberia
| County | Mid-Year populationa | Rubella IgM positive cases | Annualized incidence rate per 100,000 population |
|---|---|---|---|
| Bomi | 91,593 | 41 | 22.4 |
| Grand Kru | 60,152 | 26 | 4.5 |
| Margibi | 232,918 | 66 | 3.4 |
| Sinoe | 124,747 | 29 | 3.8 |
| Lofa | 313,014 | 68 | 6.2 |
| River Gee | 82,132 | 17 | 6.1 |
| Grand Cape Mount | 153,386 | 19 | 21.6 |
| Grand Gedeh | 164,360 | 20 | 10.9 |
| Maryland | 176,733 | 20 | 14.2 |
| Bong | 366,547 | 33 | 5.7 |
| Grand Bassa | 253,001 | 19 | 2.3 |
| Gbarporlu | 103,502 | 7 | 2.7 |
| Rivercess | 88,758 | 6 | 10.3 |
| Nimba | 542,289 | 29 | 3.4 |
| Montserrado | 1,550,718 | 72 | 11.6 |
| Total | 4,303,851 | 472 | 5.5 |
aProjected from the 2008 population census [26]