| Literature DB >> 34157990 |
Abel Wilson Walekhwa1, Moses Ntaro2, Peter Chris Kawungezi2, Chiara Achangwa3, Rabbison Muhindo2, Emmanuel Baguma2, Michael Matte2, Richard Migisha4, Raquel Reyes5, Peyton Thompson6, Ross M Boyce2,7, Edgar M Mulogo2.
Abstract
BACKGROUND: Measles outbreaks are prevalent throughout sub-Saharan Africa despite the preventive measures like vaccination that target under five-year-old children and health systems strengthening efforts like prioritizing the supply chain for supplies. Measles immunization coverage for Kasese district and Bugoye HC III in 2018 was 72 and 69%, respectively. This coverage has been very low and always marked red in the Red categorization (below the national target/poor performing) on the national league table indicators. The aim of this study was to assess the scope of the 2018-2019 measles outbreak and the associated risk factors among children aged 0-60 months in Bugoye sub-county, Kasese district, western Uganda.Entities:
Keywords: Epidemiology; Immunization; Measles; Outbreak; Uganda
Mesh:
Year: 2021 PMID: 34157990 PMCID: PMC8220759 DOI: 10.1186/s12879-021-06213-5
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Map of Bugoye Subcounty, Kasese District
Fig. 2Flowchart detailing screening and enrollment of participating cases
Fig. 3An epidemic curve for measles outbreak in Bugoye Subcounty
Reported clinical symptoms of facility- versus community-based cases
| Clinical Symptom | Facility Based | Community Based |
|---|---|---|
| Fever | 33 (97.1%) | 36 (100%) |
| Rash | 34 (100%) | 36 (100%) |
| Maculopapular Rash | 34 (100%) | 35 (97.2%) |
| Conjunctivitis | 34 (100%) | 36 (100%) |
| Cough | 32 (94.1%) | 36 (100%) |
| Coryza | 32 (94.1%) | 36 (100%) |
| Koplik Spots | 31 (91.2%) | 33 (91.7%) |
| Lymphadenopathy | 26 (76.5%) | 31 (86.1%) |
| Arthralgia | 25 (73.5%) | 28 (77.8%) |
Demographic characteristics of the cases and controls
| Characteristic/factor | Cases | Controls | |
|---|---|---|---|
| Total (n,%) | 70 (100.0) | 100 (100.0) | – |
| Age of child (Mean 2.8, SD 1.34) | Mean = 3.2, SD 2.65 | Mean = 2.6, SD 1.75 | |
| 1 year | 12 (17.1) | 26 (26.0) | 0.14 |
| 2 years | 13 (18.6) | 26 (26.0) | |
| 3 years | 11 (15.7) | 19 (19.0 | |
| 4 years | 21 (30.0) | 18 (18.0) | |
| 5 years | 13 (18.6) | 11 (11.0) | |
| Sex of child | |||
| Male | 30 (42.9) | 61 (61.0) | 0.02 |
| Female | 40 (57.1) | 39 (39.0) | |
| Vaccine status | |||
| Vaccinated | 48 (68.6) | 80 (80.0) | 0.09 |
| Unvaccinated | 22 (31.4) | 20 (20.0) | |
| Caregiver Education | |||
| Primary School | 40 (57.1) | 62 (62.0) | 0.80 |
| Secondary School | 21 (30.0) | 28 (28.0) | |
| University | 4 (5.7) | 6 (6.0) | |
| None / Illiterate | 5 (7.1) | 4 (4.0) | |
| Type of locality | |||
| Trading Center | 13 (18.6) | 15 (15.0) | 0.54 |
| Rural | 57 (81.4) | 85 (85.0) | |
| Distance moved to facility | |||
| < 1 km | 39 (55.7) | 49 (49.0) | |
| > 1 km but < 3 km | 26 (37.1) | 41 (41.0) | 0.68 |
| > 3 km but < 5 km | 3 (4.3) | 8 (8.0) | |
| > 5 km | 2 (2.9) | 2 (2.0) | |
Logistic regression analysis of disease correlates
| Variable | Unadjusted Model | Adjusted Model* | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | aOR | 95% CI | |||
| Gender (Female) | 2.09 | 1.12–3.88 | 0.02 | |||
| Age (Years) | ||||||
| 1 year or less | REF | REF | ||||
| 2 years | 1.08 | 0.42–2.81 | 0.87 | 1.21 | 0.45–3.26 | 0.71 |
| 3 years | 1.25 | 0.46–3.44 | 0.66 | 1.32 | 0.47–3.76 | 0.60 |
| 4 years | 2.53 | 1.00–6.40 | 0.05 | |||
| 5 years | 2.56 | 0.89–7.35 | 0.08 | 2.85 | 0.95–8.55 | 0.06 |
| Caregiver Education | ||||||
| Primary | REF | – | ||||
| Secondary | 1.16 | 0.58–2.32 | 0.67 | – | ||
| Tertiary | 1.03 | 0.27–3.89 | 0.96 | – | ||
| None/Illiterate | 1.94 | 0.49–7.65 | 0.35 | – | ||
| Distance to Clinic | 0.70 | 0.29–0.61 | 0.48 | – | ||
| Less than 1 km | REF | – | ||||
| 1–3 km | 0.80 | 0.41–1.52 | 0.49 | – | ||
| 3–5 km | 0.47 | 0.12–1.90 | 0.29 | – | ||
| More than 5 km | 1.26 | 0.17–9.33 | 0.82 | – | ||
| Unvaccinated | 1.83 | 0.91–3.70 | 0.09 | 2.06 | 0.97–4.39 | 0.06 |
* Variables that were significant in univariate models with a pre-specified P-value of < 0.25 were included in the subsequent multivariate analysis