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Bwire G, Sack DA, Lunkuse SM, Ongole F, Ngwa MC, Namanya DB, Nsungwa J, Aceng Ocero JR, Mwebesa HG, Muruta A, Nakinsige A, Kisakye A, Kalyebi P, Kemirembe J, Makumbi I, Kagirita A, Ampeire I, Mutegeki D, Matseketse D, Debes AK, Orach CG. Development of a Scorecard to Monitor Progress toward National Cholera Elimination: Its Application in Uganda. Am J Trop Med Hyg 2023; 108:954-962. [PMID: 37037429 PMCID: PMC10160876 DOI: 10.4269/ajtmh.23-0007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/01/2023] [Indexed: 04/12/2023] Open
Abstract
In 2017, the Global Task Force for Cholera Control (GTFCC) set a goal to eliminate cholera from ≥ 20 countries and to reduce cholera deaths by 90% by 2030. Many countries have included oral cholera vaccine (OCV) in their cholera control plans. We felt that a simple, user-friendly monitoring tool would be useful to guide national progress toward cholera elimination. We reviewed cholera surveillance data of Uganda from 2015 to 2021 by date and district. We defined a district as having eliminated cholera if cholera was not reported in that district for at least 4 years. We prepared maps to show districts with cholera, districts that had eliminated it, and districts that had eliminated it but then "relapsed." These maps were compared with districts where OCV was used and the hotspot map recommended by the GTFCC. Between 2018 and 2021, OCV was administered in 16 districts previously identified as hotspots. In 2018, cholera was reported during at least one of the four previous years from 36 of the 146 districts of Uganda. This number decreased to 18 districts by 2021. Cholera was deemed "eliminated" from four of these 18 districts but then "relapsed." The cholera elimination scorecard effectively demonstrated national progress toward cholera elimination and identified districts where additional resources are needed to achieve elimination by 2030. Identification of the districts that have eliminated cholera and those that have relapsed will assist the national programs to focus on addressing the factors that result in elimination or relapse of cholera.
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Affiliation(s)
- Godfrey Bwire
- Department of Community Health, Ministry of Health Uganda, Kampala, Uganda
| | - David A. Sack
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Stella M. Lunkuse
- Division of Surveillance, Knowledge and Information Management, Ministry of Health, Kampala, Uganda
| | - Francis Ongole
- Department of National Health Laboratory and Diagnostic Services, Ministry of Health, Kampala, Uganda
| | - Moise Chi Ngwa
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Jesca Nsungwa
- Department of Maternal and Child Health, Ministry of Health, Kampala, Uganda
| | | | - Henry G. Mwebesa
- Office of the Director General Health Service, Ministry of Health, Kampala, Uganda
| | - Allan Muruta
- Department of Integrated Epidemiology and Public Health Emergencies, Ministry of Health, Kampala, Uganda
| | - Anne Nakinsige
- Division of Public Health Emergency Preparedness and Response, Ministry of Health, Kampala, Uganda
| | | | - Peter Kalyebi
- Department of Environmental Health, Ministry of Health, Kampala, Uganda
| | | | - Issa Makumbi
- Public Health Emergency Operation Centre, Ministry of Health, Kampala, Uganda
| | - Atek Kagirita
- Division of Surveillance, Knowledge and Information Management, Ministry of Health, Kampala, Uganda
| | - Immaculate Ampeire
- Uganda National Immunization Programme, Ministry of Health, Kampala, Uganda
| | - David Mutegeki
- Public Health Emergency Operation Centre, Ministry of Health, Kampala, Uganda
| | | | - Amanda Kay Debes
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Elimian K, King C, Dewa O, Pembi E, Gandi B, Yennan S, Myles P, Pritchard C, Forsberg BC, Alfvén T. Healthcare workers knowledge of cholera multi-stranded interventions and its determining factors in North-East Nigeria: planning and policy implications. HUMAN RESOURCES FOR HEALTH 2023; 21:6. [PMID: 36726147 PMCID: PMC9891191 DOI: 10.1186/s12960-023-00796-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Healthcare workers' (HCWs) knowledge of multi-stranded cholera interventions (including case management, water, sanitation, and hygiene (WASH), surveillance/laboratory methods, coordination, and vaccination) is crucial to the implementation of these interventions in healthcare facilities, especially in conflict-affected settings where cholera burden is particularly high. We aimed to assess Nigerian HCWs' knowledge of cholera interventions and identify the associated factors. METHODS We conducted a cross-sectional study using a structured interviewer-administered questionnaire with HCWs from 120 healthcare facilities in Adamawa and Bauchi States, North-East Nigeria. A knowledge score was created by assigning a point for each correct response. HCWs' knowledge of cholera interventions, calculated as a score, was recoded for ease of interpretation as follows: 0-50 (low); 51-70 (moderate); ≥ 71 (high). Additionally, we defined the inadequacy of HCWs' knowledge of cholera interventions based on a policy-relevant threshold of equal or lesser than 75 scores for an intervention. Multivariable logistic regression was used to identify the factors associated with the adequacy of knowledge score. RESULTS Overall, 490 HCWs participated in the study (254 in Adamawa and 236 in Bauchi), with a mean age of 35.5 years. HCWs' knowledge score was high for surveillance/laboratory methods, moderate for case management, WASH, and vaccination, and low for coordination. HCWs' knowledge of coordination improved with higher cadre, working in urban- or peri-urban-based healthcare facilities, and secondary education; cholera case management and vaccination knowledge improved with post-secondary education, working in Bauchi State and urban areas, previous training in cholera case management and response to a cholera outbreak-working in peri-urban areas had a negative effect. HCWs' knowledge of surveillance/laboratory methods improved with a higher cadre, 1-year duration in current position, secondary or post-secondary education, previous training in cholera case management and response to a cholera outbreak. However, HCWs' current position had both positive and negative impacts on their WASH knowledge. CONCLUSIONS HCWs in both study locations recorded a considerable knowledge of multi-stranded cholera interventions. While HCWs' demographic characteristics appeared irrelevant in determining their knowledge of cholera interventions, geographic location and experiences from the current position, training and involvement in cholera outbreak response played a significant role.
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Affiliation(s)
- Kelly Elimian
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
- Exhale Health Foundation, Abuja, Nigeria.
| | - Carina King
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Ozius Dewa
- School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Emmanuel Pembi
- Adamawa State Ministry of Health, Yola, Adamawa State, Nigeria
| | - Benjamin Gandi
- Bauchi State Ministry of Health, Yola, Bauchi State, Nigeria
| | | | - Puja Myles
- Clinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK
| | | | | | - Tobias Alfvén
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Stockholm, Sweden
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Elimian K, Yennan S, Musah A, Cheshi ID, King C, Dunkwu L, Mohammed AL, Ekeng E, Akande OW, Ayres S, Gandi B, Pembi E, Saleh F, Omar AN, Crawford E, Olopha OO, Nnaji R, Muhammad B, Luka-Lawal R, Ihueze AC, Olatunji D, Ojukwu C, Akinpelu AM, Adaga E, Abubakar Y, Nwadiuto I, Ngishe S, Alowooye AB, Nwogwugwu PC, Kamaldeen K, Abah HN, Chukwuebuka EH, Yusuff HA, Mamadu I, Mohammed AA, Peter S, Abbah OC, Oladotun PM, Oifoh S, Olugbile M, Agogo E, Ndodo N, Babatunde O, Mba N, Oladejo J, Ilori E, Alfvén T, Myles P, Ochu CL, Ihekweazu C, Adetifa I. Epidemiology, diagnostics and factors associated with mortality during a cholera epidemic in Nigeria, October 2020-October 2021: a retrospective analysis of national surveillance data. BMJ Open 2022; 12:e063703. [PMID: 36123095 PMCID: PMC9486350 DOI: 10.1136/bmjopen-2022-063703] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVES Nigeria reported an upsurge in cholera cases in October 2020, which then transitioned into a large, disseminated epidemic for most of 2021. This study aimed to describe the epidemiology, diagnostic performance of rapid diagnostic test (RDT) kits and the factors associated with mortality during the epidemic. DESIGN A retrospective analysis of national surveillance data. SETTING 33 of 37 states (including the Federal Capital Territory) in Nigeria. PARTICIPANTS Persons who met cholera case definition (a person of any age with acute watery diarrhoea, with or without vomiting) between October 2020 and October 2021 within the Nigeria Centre for Disease Control surveillance data. OUTCOME MEASURES Attack rate (AR; per 100 000 persons), case fatality rate (CFR; %) and accuracy of RDT performance compared with culture using area under the receiver operating characteristic curve (AUROC). Additionally, individual factors associated with cholera deaths and hospitalisation were presented as adjusted OR with 95% CIs. RESULTS Overall, 93 598 cholera cases and 3298 deaths (CFR: 3.5%) were reported across 33 of 37 states in Nigeria within the study period. The proportions of cholera cases were higher in men aged 5-14 years and women aged 25-44 years. The overall AR was 46.5 per 100 000 persons. The North-West region recorded the highest AR with 102 per 100 000. Older age, male gender, residency in the North-Central region and severe dehydration significantly increased the odds of cholera deaths. The cholera RDT had excellent diagnostic accuracy (AUROC=0.91; 95% CI 0.87 to 0.96). CONCLUSIONS Cholera remains a serious public health threat in Nigeria with a high mortality rate. Thus, we recommend making RDT kits more widely accessible for improved surveillance and prompt case management across the country.
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Affiliation(s)
- Kelly Elimian
- Nigeria Centre for Disease Control, Abuja, Nigeria
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | | | - Anwar Musah
- Department of Risk and Disaster Reduction, University College London, London, UK
| | | | - Carina King
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | | | | | - Eme Ekeng
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | - Oluwatosin Wuraola Akande
- Department of Epidemiology and Community Health, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Stephanie Ayres
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | | | | | - Fatima Saleh
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | | | | | | | | | | | | | | | | | | | | | - Ene Adaga
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | - Yusuf Abubakar
- Zamfara State Ministry of Health, Zamfara State, Nigeria
| | | | - Samuel Ngishe
- Public Health, Ministry of Health, Benue State, Makurdi, Nigeria
| | | | | | | | | | | | | | - Ibrahim Mamadu
- World Health Organization Country Office for Nigeria, Abuja, Nigeria
| | | | - Sarah Peter
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | | | | | | | | | | | | | | | - Nwando Mba
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | - John Oladejo
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | - Elsie Ilori
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | - Tobias Alfvén
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Puja Myles
- Clinical Practice Research Datalink, London, UK
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