| Literature DB >> 35720796 |
Lateefat Kikelomo Amao1, David Idowu Olatunji1, Gordon Igbodo1, Solomon Chieloka Okoli2, Ifeanyichukwu Amaechi1, Muhammad Isa Goni1, Odianosen Ehiakhamen1, Olaolu Aderinola1, Adesola Ogunleye1, Oladipo Ogunbode1, Adesola Adeleye1, Tajudeen Arowolo1, Kabiru Suleman1, Abubakar Hassan1, Mohammed Usman Yelwa1, Nsikak Inam1, Afolabi Akinpelu1, Fahad Muhammad1, Kola Jinadu1, Ikenna Onoh1, Jessica Akinrogbe1, Elsie Ilori1, Abaye Biobelu3, Ikwuogu Richard4, Ifeoma Nwadiuto5, Oyaba Demebons3, Ogbue Nwakaego4, Emmanuel Owhodar5, John Oladejo1, Evaezi Okpokoro6, Chikwe Ihekweazu1.
Abstract
Monkeypox (MPX) is a viral zoonosis with lesions like smallpox. Though rare in Nigeria, sporadic outbreaks have been reported in 17 states since September 2017. Unfortunately, the COVID-19 pandemic has further reduced surveillance and reporting of MPX disease. This study seeks to assess the effect of an enhanced surveillance approach to detect MPX cases and measure the cumulative incidence of MPX in priority states in Nigeria. We identified three priority states (Rivers, Delta and Bayelsa) and their Local Government Areas (LGAs) based on previous disease incidence. We also identified, trained, and incentivized community volunteers to conduct active case searches over three months (January to March 2021). We supported case investigation of suspected cases and followed up on cases in addition to routine active surveillance for MPX in health facilities and communities. Weekly and monthly follow-up was carried out during the same period. Out of the three states, 30 hotspots LGAs out of the 56 LGAs (54%) were engaged for enhanced surveillance. We trained three state supervisors, 30 LGA surveillance facilitators and 600 Community informants across the three priority states. Overall, twenty-five (25) suspected cases of MPX were identified. Out of these, three (12%) were confirmed as positive. Enhanced surveillance improved reporting of MPX diseases in hotspots LGAs across the priority states. Extension of this surveillance approach alongside tailored technical support is critical intra and post-pandemic. ©Copyright: the Author(s).Entities:
Keywords: COVID-19; Enhanced Surveillance; Monkeypox; Nigeria; Zoonosis
Year: 2022 PMID: 35720796 PMCID: PMC9202462 DOI: 10.4081/jphia.2022.2184
Source DB: PubMed Journal: J Public Health Afr ISSN: 2038-9922
Definition of key terms.
| S/No | Term | Definition |
|---|---|---|
| 1. | Suspected case | Any person with acute illness, fever >38.3oC, intense headache, lymphadenopathy, back pain, myalgia, and intense asthenia followed one to three days later by a progressively developing rash often beginning on the face (most dense) then spreading elsewhere on the body, including soles of feet and palms of hand |
| 2. | Confirmed case | Any suspected case with laboratory confirmation (viral identification by polymerase chain reaction: PCR, antibody detection, viral isolation) |
| 3. | Probable case | A suspected case with epidemiological linkage with a confirmed case in whom laboratory testing could not be carried out for confirmation |
| 4. | Urban | An LGA was classified as urban if it is State capital has an approximate population size of 20 000, >75% of its population is engaged in non-agricultural occupations, and availability of infrastructure, good transportation system and a broad array of economic, social, and recreational activities |
| 5. | Rural | An LGA was classified as rural if it is not capital has an approximate population size of less than 20 000, >75% of its population is engaged in agricultural occupations, and unavailability of infrastructure, good transportation system and a broad array of economic, social, and recreational activities |
| 6. | Peri-urban | LGAs that stand in the interphase of urban and rural |
Suspected cases of monkeypox in hotspot LGAs of Bayelsa, Delta and Rivers States.
| S/No | Targeted Territory | Area, Km2 | Population size Bayelsa | Community classification | No. of cases |
|---|---|---|---|---|---|
| 1 | Ogbia | 1,692 | 179,926 | Rural | 1 suspected case |
| 2 | Southern Ijaw | 2,682 | 319,413 | Rural | 1 Confirmed case |
| 3 | Yenegoa | 1,698 | 352,285 | Urban | 5 suspected cases |
| 4 | Brass | 1,404 | 185,049 | Rural | 1 suspected case |
| 5 | Ekeremor | 1,910 | 270,257 | Rural | No case |
| 6 | Nembe | 760 | 130,931 | Rural | No case |
| 7 | Sagbama | 945 | 187,146 | Rural | No case |
| 8 | Kolokuma | 361 | 77,292 | Rural | No case |
| Rivers | |||||
| 9 | Degema | 1,011 | 249,467 | Rural | 2 suspected cases |
| 10 | Port Harcourt | 98.49 | 538,558 | Urban | 1 suspected case |
| 11 | Gokana | 126 | 233,813 | Rural | 2 suspected cases |
| 12 | Obio/Akpor | 260 | 462,350 | Rural | No case |
| 13 | Bonny | 646 | 214,983 | Peri-Urban | 2 suspected cases |
| 14 | Andoni | 233 | 217,924 | Rural | No case |
| 15 | Eleme | 138 | 190,194 | Rural | No case |
| 16 | Etche | 774.7 | 249.939 | Rural | No case |
| 17 | Emohua | 831 | 201,057 | Rural | No case |
| 18 | Tai | 159 | 120,308 | Rural | No case |
| Delta | |||||
| 19 | Isoko North | 479 | 143,559 | Rural | 1 suspected case |
| 20 | Sapele | 580.3 | 174,273 | Peri-urban | 2 confirmed cases |
| 21 | Ughelli North | 832.7 | 320,687 | Rural | 2 suspected cases |
| 22 | Ndokwa East | 1,614 | 103,224 | Rural | 2 suspected cases |
| 23 | Ika Northeast | 475.3 | 182,819 | Rural | 1 suspected case |
| 24 | Udu | 137 | 142,480 | Rural | 1 suspected case |
| 25 | Ethiope East | 378.6 | 200,942 | Rural | No case |
| 26 | Aniocha South | 867.4 | 142,045 | Rural | No case |
| 27 | Ukuani | 414.2 | 119,034 | Rural | No case |
| 28 | Uvwie | 92.41 | 188,728 | Rural | No case |
| 29 | Warri Southwest | 1,279 | 116,538 | Peri-urban | No case |
| 30 | Warri South | 542.2 | 311,970 | Peri-urban | No case |
Figure 1.Age/ sex pyramid of suspected cases of Monkeypox. A representation of the age and gender of suspected and confirmed cases of Monkeypox.
Figure 2.Epicurve among suspected cases of MPX. A distribution of Monkeypox infection among residents of Bayelsa, Rivers and Delta states, within 12 weeks of enhanced surveillance.
Figure 3.Trend of confirmed Monkeypox cases from 2017-2021. A representation of the trend of Monkeypox infection in suspected and confirmed cases in Nigeria between 2017 and 2021.