| Literature DB >> 33225918 |
Yilma Chisha1, Zerihun Zerdo2, Mekuria Asnakew2, Chuchu Churko2, Manaye Yihune3, Abinet Teshome4, Nebiyu Nigussu5, Fikire Seife5, Birhanu Getachew6, Markos Sileshi6.
Abstract
BACKGROUND: World Health Organization estimated that 779 million people are at risk of getting schistosomiasis (SCH) and 240 million people were infected worldwide. SCH due to Schistosoma mansoni (S. mansoni) is a wide public health problem in Ethiopia. The aim of the survey was to quantify national and district disaggregated treatment coverage status for SCH and compare validated coverage with the one reported.Entities:
Keywords: Coverage validation survey; Ethiopia; Mass drug administration; PZQ; Preventive chemotherapy; SAC; SCH
Mesh:
Substances:
Year: 2020 PMID: 33225918 PMCID: PMC7682081 DOI: 10.1186/s12879-020-05519-0
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Map of study districts in which coverage validation survey was conducted, Ethiopia, 2019, (Note: it is an orginal scale map, prepared by the research team using GPS data).
Factors statistically and significantly associated with PZQ swallowing in multivariable logistic regression analysis among SAC in the sampled districts of Ethiopia, 2019 (n=5679)
| Variable | Category | Swallowed PZQ | COR | AOR | 95% CI | ||
|---|---|---|---|---|---|---|---|
| Yes | No | ||||||
| 5-9 year | 1,848 (43.1) | 917 (65.83) | 1 | 0.000 | 1 | ||
| 10-14 year | 2,438 (56.9) | 476 (34.17) | 2.54 | 1.45 | **(1.25, 1.69) | ||
| Female | 2,092 (48.81) | 761(54.63) | 1 | 0.000 | 1 | ||
| Male | 2,194 (51.19) | 632 (45.37) | 1.26 | 1.27 | *(1.09, 1.47) | ||
| No | 195 (4.55) | 734 (52.69) | 1 | 0.000 | 1 | - | |
| Yes | 4,091(95.45) | 659 (47.31) | 23.37 | 20.90 | **(17.41, 25.08) | ||
COR Crude Odds ratio, AOR Adjusted Odds Ratio, CI Confidence interval, *= P value < 0.05, ** < 0.01
To check the classifying or prediction performance of variables in the final fitted model, ROC curve was done. Based on the Hosmer and Lemeshow criteria, variables in the fitted model were predicting the acceptance or swallowing of PZQ by 77.62%.
This means 77.62% of PZQ swallowing among SAC was determined by age of SAC, gender of SAC and school attendance or enrollment status of SAC (Fig. 5).
Fig. 2ROC curve showing prediction performance of variables in the final fitted model on swallowing or acceptance of PZQ among SAC, sampled districts, Ethiopia, 2019
Socio-demographic characteristics of SAC in study districts, Ethiopia, 2019
| S. N | Variables | Categories | Frequency | Percent (%) |
|---|---|---|---|---|
| 1 | Age (Years) | 5-9 | 2765 | 48.7 |
| 10-14 | 2914 | 51.3 | ||
| 2 | Gender | Female | 2853 | 50.2 |
| Male | 2826 | 49.8 | ||
| 3 | School Attendance | No | 929 | 16.4 |
| Yes | 4750 | 83.6 | ||
| 4 | Educational level | Primary | 4732 | 99.6 |
| Secondary | 18 | 0.4 | ||
| 5 | School type | Public | 4612 | 97.1 |
| Private | 126 | 2.6 | ||
| Religious | 12 | 0.3 |
Fig. 3District disaggregated treatment coverage of PZQ among SAC, in the sampled districts of Ethiopia, 2019.
Treatment coverage of PZQ among SAC disaggregated by gender and other predictors in the sampled districts of Ethiopia, 2019
| Variable | Categories | Swallowed PZQ | Chi-square | |||||
|---|---|---|---|---|---|---|---|---|
| Yes | No | Unknown | ||||||
| N | % | N | % | N | % | |||
| Gender | Female | 2092 | 73.3 | 679 | 23.8 | 82 | 2.9 | 14.77 (0.001) |
| Male | 2194 | 77.6 | 556 | 19.7 | 76 | 2.7 | ||
| Age (Years) | 5-9 | 1848 | 66.8 | 799 | 28.9 | 118 | 4.3 | 222.66 (0.001) |
| 10-14 | 2438 | 83.7 | 436 | 15 | 40 | 1.4 | ||
| School attendance | Yes | 4091 | 86.1 | 616 | 13 | 43 | 0.9 | 1833.40 (0.001) |
| No | 195 | 21 | 619 | 66.6 | 115 | 12.4 | ||
| Heard about MDA | Yes | 413 | 91.3 | 371 | 8.4 | 9 | 0.2 | 2696.39 (0.001) |
| No | 271 | 21.1 | 864 | 67.3 | 149 | 11.6 | ||
Treatment coverage of PZQ disaggregated by school attendance and other predictors for districts applied vertical treatment approach, Ethiopia, 2019
| Variable | Categories | Swallowed PZQ | Chi-square | |||||
|---|---|---|---|---|---|---|---|---|
| Yes | No | Unknown | ||||||
| N | % | N | % | N | % | |||
| Gender | Female | 1624 | 70.2 | 614 | 26.6 | 75 | 3.2 | 12.97 (0.002) |
| Male | 1692 | 75.0 | 500 | 22.1 | 66 | 2.9 | ||
| Age (Years) | 5-9 | 1405 | 63.4 | 709 | 32 | 103 | 4.6 | 186.19 (0.001) |
| 10-14 | 1911 | 81.2 | 405 | 17.2 | 38 | 1.6 | ||
| School attendance | Yes | 3207 | 84.1 | 566 | 14.9 | 39 | 1.0 | 1595.32(0.001) |
| No | 109 | 14.4 | 548 | 72.2 | 102 | 13.4 | ||
Treatment coverage of PZQ disaggregated by treatment approach, Ethiopia, 2019
| Treatment approach | Swallowed PZQ | X2 | |||
|---|---|---|---|---|---|
| Yes (%) | No (%) | Unknown (%) | |||
| Vertical | 3316(72.5) | 1114(24.4) | 141(3.1) | 108.5 | <0.001 |
| Integrated | 970(87.6) | 121(10.9%) | 17(1.5%) | ||
Fig. 4Professed reasons for not swallowing PZQ among SAC in study districts of Ethiopia, 2019. Key: Others*: not definite reasons stated, too far, no MDA, not eaten food, not invited
Fig. 5Distribution sites of PZQ against SCH in selected districts of Ethiopia, 2019. Key: Others*: Village head house, Central point, Local health center