| Literature DB >> 31402963 |
Adolphus Clarke1, Nicholas Blidi1, Bernice Dahn1, Chukwuemeka Agbo2, Roland Tuopileyi2, Monday Julius Rude2, George Sie Williams2, Mohammed Seid2, Alex Gasasira2, Zakari Wambai3, Laura Skrip3, Thomas Nagbe3, Tolbert Nyenswah3, Joseph Okeibunor Chukwudi4, Ticha Johnson4, Ambrose Talisuna4, Ali Ahmed Yahaya4, Soatiana Rajatonirina4, Ibrahima Socé Fall4.
Abstract
INTRODUCTION: Liberia remains at high risk of poliovirus outbreaks due to importation. The country maintained certification level acute flaccid paralysis (AFP) surveillance indicators each year until 2014 due to Ebola outbreak. During this time, there was a significant drop in non-polio AFP rate to (1.2/100,000 population under 15 years) in 2015 from 2.9/100, 000 population in 2013, due to a variety of reasons including suspension on shipment of acute flaccid paralysis stool specimen to the polio regional lab in Abidjan, refocusing of surveillance officers attention solely on Ebola virus disease (EVD) surveillance, inactivation of national polio expert committee (NPEC) and National Certification Committee (NCC). The Ministry of Health (MOH) supported by partners worked to restore AFP surveillance post EVD outbreak and ensure that Liberia maintains its polio free certification.Entities:
Keywords: Acute Flaccid Paralysis (AFP); Liberia; polio; surveillance
Mesh:
Substances:
Year: 2019 PMID: 31402963 PMCID: PMC6675926 DOI: 10.11604/pamj.supp.2019.33.2.16848
Source DB: PubMed Journal: Pan Afr Med J
Figure 1Point map showing number of AFP cases reported by county as of Epi week 52 2017 Liberia
Figure 2Three level monitoring structure at National, County and District levels
AFP surveillance indicators from 2013-2017 (Data Source: MOH/ WHO AFP Surveillance Database)
| Indicators | Target | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|
| Number of AFP cases Reported | 50 | 23 | 22 | 69 | 81 | |
| Non-Polio AFP Rate | >=2/100,000 under 15 Pop. | 2.9 | 1.9 | 1.2 | 3.7 | 4.2 |
| Stool Adequacy Rate | >=80% | 100% | 96% | 95% | 79% | 80% |
| Case investigation within 48 hours of report | >=90% | 92% | 100% | 91% | 89% | 91% |
| Stool specimens arriving at the lab <3 days of being sent | >=80% | 36% | 55% | NA | 47% | 52% |
| Stool specimens arriving at the laboratory in “good condition” | >=90% | 98% | 100% | NA | 100% | 100% |
| Non Polio enterovirus rate (NPENT) | >=10% | 8% | 9% | 0 | 12% | 23% |
| % of counties meeting Non- Polio AFP rate and stool adequacy rate | >=80% | 80% | 60% | 53% | 47% | 67% |
| 60 days follow up | All cases (L) |
AFP surveillance statistics by county and indicators for 2015 -2016, Liberia (Data Source: MOH/ WHO AFP Surveillance Database)
| Year | County | Total AFP cases | Age | Sex | Total polio dases | Durtation from onset-notifi. | Duration from notifi- invest. | Duration from 1st stool -2nd stool | Duration from Onset -2nd stool | 2nd stool-national lab | Indicators | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0-4 | 5 to 9 | >=10 | 1 | 2 | <3 | >=3 | unknown | <=7 | >7 | <=2 | > 2 | <=2 | >2 | <=14 | >14 | <=3 | >3 | NPAFP | Stool A | NPENT | |||
| 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 2.3 | 100% | 0% | ||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0% | ||
| 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 2.3 | 100% | 0% | ||
| 3 | 3 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 2 | 1 | 3 | 0 | 3 | 0 | 2 | 1 | 0 | 3 | 2.6 | 100% | 0% | ||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0% | ||
| 2 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 0 | 2 | 3.1 | 100% | 0% | ||
| 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 3.3 | 100% | 0% | ||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0% | ||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0% | ||
| 2 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 0 | 2 | 2.8 | 100% | 0% | ||
| 5 | 2 | 3 | 0 | 2 | 3 | 2 | 3 | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 0 | 5 | 0.9 | 100% | 0% | ||
| 5 | 3 | 2 | 0 | 1 | 4 | 3 | 2 | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 0 | 5 | 2.1 | 100% | 0% | ||
| 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0% | ||
| 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 2.7 | 100% | 0% | ||
| 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1.9 | 100% | 0% | ||
Sex: 1 = female; 2 = male
AFP surveillance statistics by county and indicators for 2015 -2016, Liberia (Data Source: MOH/ WHO AFP Surveillance Database)
| Year | County | Total AFP cases | Age | Sex | Total polio dases | Durtation from onset-notifi. | Duration from notifi- invest. | Duration from 1st stool -2nd stool | Duration from Onset -2nd stool | 2nd stool-national lab | Indicators | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | 4 | 0 | 0 | 1 | 3 | 1 | 3 | 0 | 3 | 1 | 3 | 1 | 4 | 0 | 4 | 0 | 3 | 1 | 8.9 | 100% | 50% | ||
| 11 | 7 | 3 | 1 | 5 | 6 | 2 | 5 | 4 | 4 | 7 | 11 | 0 | 11 | 0 | 6 | 5 | 5 | 6 | 6.2 | 55% | 18% | ||
| 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 2.3 | 100% | 0% | ||
| 3 | 3 | 0 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 2 | 3 | 0 | 3 | 0 | 2 | 1 | 0 | 3 | 2.5 | 67% | 67% | ||
| 3 | 3 | 0 | 0 | 2 | 1 | 0 | 3 | 0 | 3 | 0 | 1 | 2 | 3 | 0 | 3 | 0 | 2 | 1 | 4.4 | 100% | 33% | ||
| 3 | 1 | 1 | 1 | 2 | 1 | 3 | 0 | 0 | 2 | 1 | 2 | 1 | 3 | 0 | 2 | 1 | 1 | 2 | 4.5 | 100% | 0% | ||
| 2 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 0 | 2 | 6.5 | 100% | 0% | ||
| 7 | 4 | 2 | 1 | 2 | 5 | 2 | 3 | 2 | 7 | 0 | 6 | 1 | 7 | 0 | 7 | 0 | 1 | 6 | 4.8 | 100% | 0% | ||
| 5 | 5 | 0 | 0 | 3 | 2 | 3 | 2 | 0 | 5 | 0 | 4 | 1 | 5 | 0 | 5 | 0 | 2 | 3 | 4.5 | 100% | 40% | ||
| 3 | 2 | 1 | 0 | 3 | 0 | 2 | 1 | 0 | 1 | 2 | 3 | 0 | 3 | 0 | 1 | 2 | 0 | 3 | 2.8 | 100% | 0% | ||
| 13 | 8 | 4 | 1 | 6 | 7 | 2 | 6 | 5 | 7 | 6 | 12 | 1 | 13 | 0 | 8 | 5 | 9 | 4 | 2.2 | 62% | 54% | ||
| 7 | 3 | 1 | 3 | 3 | 4 | 0 | 6 | 1 | 4 | 3 | 7 | 0 | 7 | 0 | 5 | 2 | 6 | 1 | 2.9 | 71% | 14% | ||
| 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 2.8 | 100% | 0% | ||
| 2 | 1 | 1 | 0 | 0 | 2 | 0 | 2 | 0 | 1 | 1 | 2 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 5.3 | 50% | 0% | ||
| 4 | 3 | 1 | 0 | 3 | 1 | 1 | 1 | 2 | 3 | 1 | 4 | 0 | 4 | 0 | 4 | 0 | 0 | 4 | 7.4 | 100% | 50% | ||
Sex: 1 = female; 2 = male
Figure 3Showing the number of AFP cases reported by month from 2013-2017, Liberia
AFP Surveillance statistics by county and indicators for 2017, Liberia (Data Source: MOH/ WHO AFP Surveillance Database)
| Year | County | Total AFP cases | Age | Sex | Total polio dases | Durtation from onset-notifi. | Duration from notifi- invest. | Duration from 1st stool -2nd stool | Duration from Onset -2nd stool | 2nd stool-national lab | Indicators | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Doses | Days | Days | Days | Days | Days | ||||||||||||||||||
| 0-4 | 5 to 9 | >=10 | |||||||||||||||||||||
| 2017 | Bomi | 4 | 3 | 1 | 0 | 1 | 3 | 0 | 4 | 0 | ` | 2 | 4 | 0 | 4 | 0 | 4 | 0 | 2 | 2 | 8.8 | 100% | 25% |
| Bong | 5 | 3 | 1 | 1 | 4 | 1 | 0 | 3 | 2 | 5 | 0 | 5 | 0 | 4 | 1 | 5 | 0 | 2 | 3 | 2.9 | 100% | 0% | |
| Gbarpolu | 2 | 2 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 2 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 4.7 | 50% | 0% | |
| Grand Bassa | 4 | 2 | 1 | 1 | 2 | 2 | 1 | 2 | 1 | 2 | 2 | 4 | 0 | 4 | 0 | 3 | 1 | 3 | 1 | 3.5 | 50% | 50% | |
| Grand Cape Mount | 2 | 2 | 0 | 0 | 2 | 0 | 2 | 0 | 1 | 1 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 1 | 3.1 | 100% | 0% | ||
| Grand gedeh | 4 | 3 | 1 | 0 | 1 | 3 | 1 | 3 | 0 | 4 | 0 | 4 | 0 | 4 | 0 | 4 | 0 | 1 | 3 | 6.2 | 100% | 50% | |
| Grand kru | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 3.4 | 0% | 0% | ||
| Lofa | 10 | 3 | 5 | 2 | 5 | 5 | 2 | 8 | 0 | 6 | 4 | 6 | 4 | 10 | 0 | 9 | 1 | 5 | 4 | 7.1 | 90% | 10% | |
| Margibi | 8 | 5 | 2 | 1 | 2 | 6 | 5 | 3 | 0 | 8 | 0 | 8 | 0 | 8 | 0 | 8 | 0 | 5 | 3 | 7.5 | 100% | 25% | |
| Maryland | 3 | 2 | 1 | 0 | 3 | 2 | 0 | 1 | 0 | 3 | 3 | 0 | 3 | 0 | 2 | 1 | 1 | 2 | 4.3 | 67% | 0% | ||
| Montserrado | 16 | 12 | 2 | 2 | 7 | 9 | 4 | 11 | 1 | 7 | 9 | 16 | 0 | 16 | 0 | 10 | 6 | 8 | 8 | 2.8 | 63% | 13% | |
| Nimba | 8 | 5 | 1 | 2 | 4 | 4 | 3 | 5 | 0 | 4 | 4 | 7 | 1 | 8 | 0 | 8 | 0 | 6 | 2 | 3.4 | 100% | 13% | |
| Rivercess | 6 | 5 | 1 | 0 | 1 | 5 | 1 | 4 | 1 | 3 | 3 | 5 | 1 | 6 | 0 | 5 | 1 | 3 | 3 | 17.6 | 83% | 50% | |
| River Gee | 3 | 3 | 0 | 0 | 3 | 0 | 2 | 1 | 1 | 2 | 2 | 1 | 3 | 0 | 1 | 2 | 1 | 2 | 8.2 | 33% | 67% | ||
| Sinoe | 5 | 4 | 0 | 1 | 2 | 3 | 1 | 1 | 3 | 4 | 1 | 5 | 0 | 5 | 0 | 4 | 1 | 2 | 3 | 9.6 | 80% | 0% | |
1 = female; 2 = male
Figure 4Number of cases reported in AVADAR districts 2017 and 2016