| Literature DB >> 31402965 |
Adolphus Clarke1, Nicholas Blidi1, Joseph Yokie1, Mary Momolu1, Chukwuemeka Agbo2, Roland Tuopileyi2, Julius Monday Rude2, Mohammed Seid2, Yohannes Dereje2, Zakari Wambai2, Alex Gasasira2, Laura Skrip3, Ngozi Kennedy4, Evans Lablah4, Joseph Chukwudi Okeibunor5, Mamoudou Harouna Djingarey5, Ambrose Talisuna5, Ali Ahmed Yahaya5, Soatiana Rajatonirina5, Ibrahima Socé Fall5.
Abstract
INTRODUCTION: The Ebola virus disease (EVD) outbreak in Liberia from 2014-2015 setback the already fragile health system which was recovering from the effects of civil unrest. This led to significant decline in immunization coverage and key polio free certification indicators. The Liberia investment plan was developed to restore immunization service delivery and overall health system.Entities:
Keywords: Ebola; Immunization; polio; recovery; surveillance; vaccines
Mesh:
Substances:
Year: 2019 PMID: 31402965 PMCID: PMC6675927 DOI: 10.11604/pamj.supp.2019.33.2.17116
Source DB: PubMed Journal: Pan Afr Med J
Indicator description and target of the Polio eradication used in Liberia
| Indicators | Description | Target | Comments |
|---|---|---|---|
| Percentage of target children (< 1 year) receiving Penta 3 vaccine per year for routine immunization | 80% | The national target was reset to 75% in 2015 following EVD outbreak. However, it will steadily increase to GVAP target of 95% by 2020 | |
| Difference between Penta 1 and Penta 3 expressed as a rate | <=10% | ||
| An objective measure of SIA quality that can be used to guide improvements to reach more children by enabling corrective action both during SIAs using independent monitors | 95% | ||
| A random sampling methodology as a method of quality control | < 3 out 60 missed children per Lot | ||
| Percentage of target children (<5years) receiving Measles vaccine during SIA | 95% | ||
| Measures the sensitivity of AFP surveillance system | 2/100, 000 pop. < 15 years | ||
| Measures the completeness of case investigation and quality of AFP stool specimen for laboratory testing | 80% |
Figure 1Trends of Penta 3 coverage from 2006 to 2017, Liberia
Penta 3 dropout rate (DOR) at national and sub-national levels from 2015 to 2017, Liberia
| County | Penta 3 DOR 2015 | Penta 3 DOR 2016 | Penta 3 DOR 2017 |
|---|---|---|---|
| Bomi | 16.50% | 26.10% | 10.40% |
| Bong | 9.10% | 7.00% | 4.60% |
| Gbarpolu | 10.70% | 6.90% | 6.10% |
| Grand Bassa | 22.70% | 22.00% | 15.10% |
| Grand Cape Mount | 19.90% | 15.40% | 9.20% |
| Grand Gedeh | 8.10% | 1.10% | -1.10% |
| Grand Kru | 22.80% | 19.50% | 8.00% |
| Lofa | 6.20% | 1.50% | 9.10% |
| Margibi | 24.80% | 11.40% | 10.60% |
| Maryland | 13.80% | 7.60% | 7.30% |
| Montserrado | 14.30% | 11.20% | 4.00% |
| Nimba | 20.50% | 8.50% | 1.30% |
| River Gee | 19.80% | 8.70% | -9.00% |
| Rivercess | 14.30% | 11.60% | 7.10% |
| Sinoe | 10.00% | 7.30% | 2.30% |
| Liberia | 15.30% | 10.70% | 5.50% |
Showing LQAS survey results from RD1- RD4 Polio campaigns, 2017 by County, Liberia
| County | LQAS Feb 2017 | LQAS Mar 2017 | LQAS Nov 2017 | LQAS Dec 2017 |
|---|---|---|---|---|
| Bomi | Accepted | Accepted | Rejected | NA |
| Bong | Accepted | Accepted | Accepted | NA |
| Gbarpolu | Accepted | Accepted | Accepted | NA |
| Grand Bassa | Accepted | Accepted | Accepted | NA |
| Grand Cape Mount | Accepted | Accepted | Accepted | Rejected |
| Grand Gedeh | Accepted | Rejected | Accepted | Accepted |
| Grand Kru | Rejected | Accepted | Accepted | NA |
| Lofa | Rejected | Accepted | Accepted | Rejected |
| Margibi | Accepted | Rejected | Rejected | Accepted |
| Maryland | Rejected | Rejected | Rejected | Rejected |
| Montserrado | Accepted | Rejected | Accepted | Accepted |
| Nimba | Rejected | Accepted | Accepted | Rejected |
| Rivercess | Rejected | Accepted | Accepted | Accepted |
| River-Gee | Accepted | Accepted | Rejected | NA |
| Sinoe | Rejected | Rejected | Rejected | NA |
Data source (WHO Liberia database and WHO AFRO ONA Server)
Administrative coverage and Independent Monitoring (IM) results for Polio campaigns in 2016 and 2017, Liberia
| 2016 | 2017 | |||
|---|---|---|---|---|
| Polio SIA Round | Administrative Coverage | Independent Monitoring | Administrative Coverage | Independent Monitoring |
| RD 1 | 96.60% | 95.20% | 99% | 97.4% |
| RD 2 | 95.20% | 95.80% | 99% | 97.4% |
| RD 3 | 96.00% | 96.40% | 96.4% | 97.7% |
| RD 4 | 99.90% | 96.60% | ||
Data source: MOH administrative database and WHO IM database
Figure 2Graph showing trends of MCV1 coverage 2006 to 2017
Showing results of measles coverage survey 2015
| County | Coverage by vaccination card (%) | Coverage by verbal history alone (%) |
|---|---|---|
| Grand Kru | 99.4 | 99.2 |
| Grand Gedeh | 95.4 | 99.3 |
| River Gee | 92.6 | 97.6 |
| Bong | 82.8 | 95.5 |
| Margibi | 80.4 | 94.8 |
| Rivercess | 81.1 | 94.2 |
| Sinoe | 76.5 | 94.4 |
| Grand Bassa | 76.7 | 93.1 |
| Monrovia | 77.3 | 90.7 |
| Maryland | 74.1 | 90.7 |
| Bomi | 69 | 89.9 |
| Nimba | 61.9 | 90.3 |
| Lofa | 58.3 | 87.1 |
| Montserrado | 43 | 79.8 |
| Grand Cape Mount | 43.5 | 72.4 |
Data source: Liberia Post Measles Campaign coverage survey 2015
Figure 3Yellow fever vaccination coverage by year from 2008- 2017, Liberia (Data Source WUENIC 2017 and Admin (2017))