| Literature DB >> 36071410 |
Bob Omoda Amodan1,2, Annet Kisakye3, Patricia Thiwe Okumu4, Sherry Rita Ahirirwe4, Daniel Kadobera4, Alfred Driwale5, Alex Riolexus Ario4,5.
Abstract
BACKGROUND: Polio is disease caused by poliovirus which can in turn cause irreversible paralytic disease, presenting as Acute Flaccid Paralysis (AFP). A sensitive AFP surveillance system, in which all reported AFP cases are evaluated, first to determine if they are true AFP cases or not, is key for tracking polio eradication. True AFP cases are then later categorized as polio AFP or non-polio AFP (NPAFP) cases. Sensitivity is defined by meeting an annual NPAFP rate/100,000 population < 15 years of ≥ 4/100,000, and an annual stool adequacy (SA) rate of ≥ 80%. We describe Uganda's AFP surveillance performance between 2015-2020, based on the WHO-recommended indicators, including; NPAFP and stool adequacy rate.Entities:
Keywords: AFP; Eradication; Polio; Surveillance; Uganda
Mesh:
Substances:
Year: 2022 PMID: 36071410 PMCID: PMC9449289 DOI: 10.1186/s12889-022-14077-w
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
True acute flaccid paralysis cases reported, Uganda, 2015–2020
| Year | Under 15 population | AFP cases investigated | True AFP cases | Cases with OPV3 + | Case in which NPENT isolated |
|---|---|---|---|---|---|
| 2015 | 18,461,092 | 600 | 570 | 502 | 86 |
| 2016 | 19,059,404 | 713 | 674 | 603 | 66 |
| 2017 | 19,676,228 | 610 | 590 | 434 | 75 |
| 2018 | 20,310,680 | 628 | 606 | 535 | 77 |
| 2019 | 20,960,160 | 595 | 580 | 487 | 88 |
| 2020 | 21,623,472 | 459 | 455 | 401 | 53 |
Fig. 1Trends of non-polio AFP performance rate during evaluation of AFP surveillance in Uganda, 2015–2020
District-level non-polio AFP performance in Uganda, 2015–2020
| Year | Number of districts* | Non-Polio AFP rate: | Districts with non-Polio AFP rate: | Districts with no report of AFP cases | |||
|---|---|---|---|---|---|---|---|
| 2015 | 112 | 3.14 | 39 (35) | 32 (29) | 35 (31) | 6 (5) | 0 |
| 2016 | 112 | 3.71 | 40 (36) | 37 (33) | 25 (22) | 10 (9) | 1 |
| 2017 | 116 | 3.01 | 29 (25) | 52 (45) | 29 (25) | 6 (5) | 0 |
| 2018 | 116 | 3.09 | 31 (27) | 54 (47) | 25 (22) | 6 (5) | 0 |
| 2019 | 128 | 2.87 | 49 (38) | 37 (29) | 31 (31) | 11 (9) | 0 |
| 2020 | 135 | 2.10 | 27 (20) | 30 (22) | 41 (31) | 37 (27) | 3 |
Number of districts: Districts were created by the government once there was need
Fig. 2Distribution of Non-polio AFP rate per 100,000 children < 15 years of age by districts, Uganda, 2015–2020
Fig. 3Trend of stool adequacy performance rate during evaluation of AFP surveillance in Uganda, 2015–2020
Fig. 4Percentage of districts that achieved the minimum stool adequacy performance rate (of ≥ 80%) in Uganda, 2015–2020
Stool adequacy performance rates during evaluation of AFP surveillance in Uganda, 2015–2020
| Year | Number of districts | Districts attaining stool adequacy rate of ≥ 80%, n (%) | Districts stool adequacy rate of < 80%, n (%) | Mean stool adequacy rate (%) |
|---|---|---|---|---|
| 2015 | 112 | 76 (68) | 36 (32) | 88% |
| 2016 | 112 | 69 (62) | 43 (38) | 89% |
| 2017 | 116 | 77 (66) | 39 (34) | 82% |
| 2018 | 116 | 60 (52) | 56 (48) | 88% |
| 2019 | 128 | 88 (69) | 40 (31) | 90% |
| 2020 | 135 | 108 (80) | 27 (20) | 91% |
Fig. 5Distribution of stool adequacy rate performance by districts during evaluation of AFP surveillance, Uganda, 2015–2020