| Literature DB >> 36158927 |
Jok Mayom Jil1, Ayesheshem Ademe Tegegne1, Sylvester Maleghemi1, Kibebu Kinfu Berta1, Tadesse Gossaye Birru1, Ochan Taban David Kilo1.
Abstract
Introduction: South Sudan reported the last indigenous wild poliovirus (WPV) in 2001 in Unity State, while the country was part of Sudan. In addition, the country reported an imported case of WPV in 2004-2005 and 2008-2009. The WPV circulation in the state was interrupted in 2009 and the last case was reported in Ayod county. The country continues to be at risk of importation of circulating vaccine-derived poliovirus type 2 (cVDPV2). In 2014 and 2020 the country experienced an outbreak of cVDPV2, in which Jonglei state was one of the affected states. Four out of 50 (8%) cVDPV2 cases in 2020 were reported from Jonglei State. The purpose of this study is to review surveillance performance indicators of Jonglei and compare them with the WHO surveillance performance standard and other country´s surveillance performances.Entities:
Keywords: Acute flaccid paralysis surveillance; South Sudan; disease surveillance; poliovirus; sensitivity
Mesh:
Substances:
Year: 2022 PMID: 36158927 PMCID: PMC9475046 DOI: 10.11604/pamj.supp.2022.42.1.33966
Source DB: PubMed Journal: Pan Afr Med J
characteristics of acute flaccid paralysis in Jonglei State, South Sudan, 2011-2020
| Demographic characteristics | Parameter | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| AFP cases reported | 33 | 41 | 32 | 10 | 23 | 34 | 35 | 45 | 43 | 50 | 346 |
|
| Male (N= 175, 51%) | 19 | 18 | 19 | 6 | 11 | 18 | 12 | 23 | 26 | 23 | 175 |
| Female (N= 171, 49%) | 14 | 23 | 13 | 4 | 12 | 16 | 23 | 22 | 17 | 27 | 171 | |
|
| Zero doses (N=24, 7%) | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 2 | 6 | 12 | 24 |
| 1-2 dose (N=41, 12%) | 4 | 1 | 1 | 1 | 2 | 5 | 3 | 6 | 3 | 15 | 41 | |
| 3+ doses (249, 72%) | 29 | 40 | 31 | 7 | 21 | 26 | 24 | 27 | 28 | 16 | 249 | |
| Missing dose (32, 9%) | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 10 | 6 | 7 | 32 | |
|
| 0-5 Years (N= 275, 79%) | 29 | 33 | 29 | 7 | 18 | 29 | 28 | 33 | 32 | 37 | 275 |
| 6-10 Years (N= 43, 12%) | 2 | 5 | 2 | 1 | 2 | 4 | 3 | 6 | 8 | 10 | 43 | |
| 11-15 Years (N= 12, 3%) | 2 | 3 | 0 | 2 | 2 | 0 | 1 | 1 | 1 | 0 | 12 | |
| >15 Years (N= 3, 1%) | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | |
| Missing years (N= 13, 4%) | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 4 | 2 | 2 | 13 | |
|
| Fever at the onset of paralysis (N= 325, 94%) | 31 | 35 | 32 | 10 | 23 | 33 | 33 | 41 | 41 | 46 | 325 |
| Asymmetric paralysis (N= 226, 65%) | 21 | 22 | 23 | 7 | 22 | 33 | 25 | 19 | 23 | 31 | 226 | |
| Paralysis progressed within 3 days (N= 303, 88%) | 29 | 33 | 25 | 10 | 19 | 32 | 33 | 36 | 39 | 47 | 303 |
number of total AFP cases reported by county by year in Jonglei state, South Sudan 2011-2020
| County/Year | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Akobo | 4 | 2 | 5 | 1 | 3 | 5 | 2 | 5 | 5 | 4 | 36 |
| Ayod | 4 | 2 | 3 | 0 | 0 | 2 | 0 | 7 | 7 | 11 | 36 |
| Bor South | 6 | 9 | 4 | 3 | 9 | 8 | 11 | 8 | 4 | 1 | 63 |
| Duk | 2 | 3 | 1 | 1 | 1 | 6 | 3 | 2 | 5 | 4 | 28 |
| Fangak | 2 | 3 | 4 | 0 | 1 | 2 | 1 | 0 | 1 | 4 | 18 |
| Nyirol | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 6 | 12 |
| Pibor | 1 | 1 | 0 | 0 | 0 | 3 | 5 | 7 | 3 | 8 | 28 |
| Pigi | 1 | 4 | 3 | 0 | 0 | 0 | 0 | 3 | 4 | 4 | 19 |
| Pochalla | 1 | 2 | 1 | 2 | 1 | 1 | 4 | 5 | 0 | 0 | 17 |
| Twic East | 7 | 9 | 3 | 2 | 2 | 4 | 6 | 4 | 7 | 4 | 48 |
| Uror | 3 | 6 | 8 | 1 | 4 | 3 | 3 | 3 | 6 | 4 | 41 |
| Total | 33 | 41 | 32 | 10 | 23 | 34 | 35 | 45 | 43 | 50 | 346 |
main surveillance indicators for acute flaccid paralysis by County and by year in Jonglei State, South Sudan, 2011-2020
| Parameter | Main indicators | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Akobo | NPAFP rate | 3.7 | 1.8 | 4.5 | 1.1 | 3.3 | 5.4 | 2.1 | 5.1 | 4.9 | 3.8 |
| Stool adequacy (%) | 100 | 100 | 80 | 100 | 100 | 60 | 100 | 60 | 40 | 50 | |
| Ayod | NPAFP rate | 4.1 | 2 | 3 | 0 | 0 | 2.1 | 0 | 7.1 | 6.9 | 5.7 |
| Stool adequacy (%) | 100 | 100 | 100 | 0 | 0 | 100 | 0 | 100 | 71 | 64 | |
| Bor South | NPAFP rate | 3.5 | 5.1 | 2.3 | 7.2 | 21.1 | 18.2 | 24.3 | 17.2 | 2.4 | 0.6 |
| Stool adequacy (%) | 100 | 89 | 75 | 100 | 100 | 100 | 91 | 100 | 100 | 100 | |
| Duk | NPAFP rate | 6.3 | 9.1 | 3 | 1.4 | 1.4 | 8.2 | 4 | 2.6 | 8.3 | 8.1 |
| Stool adequacy (%) | 100 | 67 | 100 | 100 | 100 | 100 | 100 | 100 | 80 | 100 | |
| Fangak | NPAFP rate | 2.3 | 3.4 | 4.5 | 0 | 1.3 | 2.6 | 1.3 | 0 | 1.2 | 2.3 |
| Stool adequacy (%) | 100 | 100 | 100 | 0 | 100 | 100 | 100 | 0 | 100 | 50 | |
| Nyirol | NPAFP rate | 2 | 0 | 0 | 0 | 2.1 | 0 | 0 | 0.9 | 0 | 6.1 |
| Stool adequacy (%) | 100 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 0 | 33 | |
| Pibor | NPAFP rate | 0.8 | 0.8 | 0 | 0 | 0 | 6.8 | 11 | 12.8 | 1.8 | 4.5 |
| Stool adequacy (%) | 100 | 100 | 0 | 0 | 0 | 67 | 60 | 86 | 33 | 13 | |
| Pigi | NPAFP Rate | 3 | 11.7 | 8.8 | 0 | 0 | 0 | 0 | 2.7 | 4 | 5.2 |
| Stool adequacy (%) | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 33 | 5 | 7 | |
| Pochalla | NPAFP rate | 4.1 | 7.9 | 3.9 | 1.4 | 0.7 | 0.7 | 1.9 | 3.1 | 0 | 0 |
| Stool adequacy (%) | 100 | 100 | 100 | 100 | 100 | 100 | 75 | 100 | 0 | 0 | |
| Twic East | NPAFP rate | 17.5 | 21.8 | 7.3 | 3.7 | 3.6 | 7 | 10.1 | 6.6 | 11.1 | 6.2 |
| Stool adequacy (%) | 100 | 89 | 100 | 50 | 100 | 100 | 100 | 75 | 86 | 100 | |
| Uror | NPAFP rate | 2.9 | 5.7 | 7.5 | 0.9 | 3.4 | 2.5 | 2.4 | 2.4 | 4.6 | 3 |
| Stool adequacy (%) | 100 | 100 | 100 | 100 | 100 | 67 | 100 | 100 | 67 | 75 | |
| Jonglei State | NPAFP rate | 3.6 | 4.3 | 3.4 | 1.2 | 2.6 | 3.7 | 3.6 | 4.4 | 3.9 | 3.8 |
| Stool adequacy (%) | 100 | 93 | 94 | 90 | 96 | 88 | 89 | 84 | 67 | 58 |
classification of acute flaccid paralysis in Jonglei State, South Sudan, 2011-2020
| Parameter | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| AFP cases reported | 33 | 41 | 32 | 10 | 23 | 34 | 35 | 45 | 43 | 50 | 346 |
| % of notification with in <7 days of onset | 79 | 78 | 72 | 70 | 74 | 88 | 77 | 60 | 70 | 50 | 71 |
| % of investigation with in <2 days from notification | 100 | 100 | 97 | 100 | 100 | 97 | 80 | 87 | 88 | 72 | 90 |
| # of inadequate cases | 0 | 2 | 2 | 1 | 1 | 4 | 4 | 7 | 10 | 21 | 52 |
| % of Npent cases isolated | 27 | 29 | 25 | 30 | 35 | 29 | 26 | 16 | 19 | 22 | 25 |
| Number of WPV cases | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Number of cVDPV2 cases | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 4 |
| Number of compatible cases | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | 7 | 14 |
| Number of discarded cases | 33 | 41 | 32 | 10 | 23 | 34 | 34 | 43 | 39 | 39 | 328 |