- Research article
- Open Access
Descriptive epidemiology of cholera outbreak in Nigeria, January–November, 2018: implications for the global roadmap strategy
BMC Public Health volume 19, Article number: 1264 (2019)
The cholera outbreak in 2018 in Nigeria reaffirms its public health threat to the country. Evidence on the current epidemiology of cholera required for the design and implementation of appropriate interventions towards attaining the global roadmap strategic goals for cholera elimination however seems lacking. Thus, this study aimed at addressing this gap by describing the epidemiology of the 2018 cholera outbreak in Nigeria.
This was a retrospective analysis of surveillance data collected between January 1st and November 19th, 2018. A cholera case was defined as an individual aged 2 years or older presenting with acute watery diarrhoea and severe dehydration or dying from acute watery diarrhoea. Descriptive analyses were performed and presented with respect to person, time and place using appropriate statistics.
There were 43,996 cholera cases and 836 cholera deaths across 20 states in Nigeria during the outbreak period, with an attack rate (AR) of 127.43/100,000 population and a case fatality rate (CFR) of 1.90%. Individuals aged 15 years or older (47.76%) were the most affected age group, but the proportion of affected males and females was about the same (49.00 and 51.00% respectively). The outbreak was characterised by four distinct epidemic waves, with higher number of deaths recorded in the third and fourth waves. States from the north-west and north-east regions of the country recorded the highest ARs while those from the north-central recorded the highest CFRs.
The severity and wide-geographical distribution of cholera cases and deaths during the 2018 outbreak are indicative of an elevated burden, which was more notable in the northern region of the country. Overall, the findings reaffirm the strategic role of a multi-sectoral approach in the design and implementation of public health interventions aimed at preventing and controlling cholera in Nigeria.
Cholera is an acute watery diarrhoeal disease caused by the ingestion of food or water contaminated with the toxigenic strains of Vibrio cholerae serogroups O1 or O139 . Cholera is often characterised by watery diarrhoea, with or without vomiting, and severe dehydration, resulting in death if left untreated . The Case Fatality Rate (CFR) from untreated cholera can be as high as 30–50%, but prompt administration of rehydration therapy can reduce it to as low as 1% . The global estimates for cholera cases and deaths are about 2.9 million and 95,000 per year, respectively , disproportionately affecting sub-Saharan African countries especially since onset of the seventh pandemic in 1961 . For instance, 17 African countries reported over 150,000 cholera cases from all the outbreaks in 2017.
Historically, Nigeria has experienced several cholera outbreaks characterised by high CFRs, notable ones being the epidemic of 1991 which resulted in 59,478 cases and 7654 deaths, and the CFR of 12.9% reported for that outbreak remains the highest for the country to date. Furthermore, another major cholera outbreak occurred in Kano state in March, 1999, with cases spreading to Adamawa and Edo states by May of that year; and the outbreak resulted in 26,358 cases and 2085 deaths. From January to December 2010, Nigeria reported 41,787 cases and 1716 deaths (CFR 4.1%) across 18 states . The last major cholera outbreak prior to 2018 was in 2014, during which the number of cases recorded cases surpassed over half of the number of cases recorded between 2012 and 2013 as well as between 2015 and 2017. In line with global evidence, however, it is likely that cholera burden in Nigeria is underestimated due to factors ranging from differences in case definitions and completeness to social, political, and economic disincentives for reporting cholera . Nonetheless, in response to the increasing global cholera burden, the Global Task Force on Cholera Control (GTFCC), in 2017, launched the Global Roadmap Strategies which seek to reduce cholera-related deaths by 90% as well as eliminate cholera infections in at least 20 out of the 47 endemic countries by 2030 . Nigeria has taken fundamental steps toward attaining these goals by deploying Oral Cholera Vaccines (OCVs) in cholera hotspots. Since the first deployment in September 2017 to date, million doses of OCVs have been deployed, albeit in a reactive context, across several hotspot areas, predominantly in the northern states (e.g. Borno, Bauchi, Yobe and Adamawa states) of Nigeria. Also in line with the GTFCC recommendations, Nigeria is finalising its National Strategic Plan of Action on Cholera Control. Despite the aforementioned efforts toward cholera prevention and control, the cholera outbreak of 2018 however reaffirms the serious public health threat of cholera and, importantly, the need for the country to adopt holistic countermeasures.
In brief, a surge in reported diarrhoea cases among adults in Kano and Kaduna states towards the end of 2017 raised a suspicion of cholera, prompting an epidemiological investigation by a rapid response team. The investigation involved using rapid diagnostic tests and microbiological investigations of stool samples or rectal swabs for diagnosis as per the Nigeria Centre for Disease Control (NCDC) guidelines . Upon confirmation of V. cholerae in line with the NCDC guidelines, cholera outbreak was declared on January 1, 2018. Health facilities at various levels of care (primary, secondary, tertiary, and specialised units such as Cholera Treatment Centres (CTCs)) in affected Local Government Areas (LGAs) relied on rapid diagnosis for subsequent testing of suspected cholera cases, but sending stool samples to the NCDC reference laboratory in Abuja for confirmatory test. In line with the Integrated Disease Surveillance Response (IDSR) system, all the reported cholera cases were collated and submitted by each reporting health facility to the Disease Surveillance and Notification Officer (DSNO) with the aid of predefined line-lists; the data were transmitted by the DSNO on a weekly basis to the State Epidemiologist for aggregation and further transmission to the Surveillance and Epidemiology Department (SED) at NCDC in Abuja, where basic statistical analyses and disseminations of findings to reporting states are undertaken. The National Cholera Emergency Operations Centre was de-escalated to a Technical Working Group on November 20, 2018, but with continued monitoring and support to affected states. Indeed, the 2018 cholera outbreak represents an opportunity to re-assess how well and how far Nigeria is progressing towards attaining global roadmap strategic goals, and to provide current epidemiology of cholera in the country, with a view to providing the evidential-basis for a holistic public health planning and effective interventions. For example, identifying the most affected age group and areas, especially in the context of emerging cholera hotspots in the country, will be useful for an efficient allocation of limited resources towards cholera prevention and control. To this end, this study describes the epidemiology of the 2018 cholera outbreak in Nigeria in terms of time, place and person.
Study approach, period, and setting
This was a retrospective analysis of secondary surveillance data spanning between January 1st and November 19th, 2018. The 20 states affected by the outbreak and their corresponding geopolitical zones were: Anambra and Ebonyi (south-east); Adamawa, Borno, Bauchi, Gombe and Yobe (north-east); Abuja, Kogi, Kwara, Nasarawa, Niger and Plateau (north-central); and Jigawa, Kaduna, Kano, Katsina, Kebbi, Sokoto and Zamfara (north-west).
Data source and management
Secondary surveillance data in MS Excel format from the NCDC SED (primarily mandated for the coordination of cholera outbreak surveillance and response activities in Nigeria) was exported into Stata version 15 (StataCorp LP, College Station, TX, USA) for management and organisation. In line with NCDC ethical guidelines, specifically with respect to confidentiality and anonymity, all forms of identifiers (e.g. names, addresses, and telephone numbers) were deleted prior to data management. The processes for selecting the final dataset is shown in Fig. 1.
Study population, and definition of key variables
The study population comprised individuals classified as having suspected cholera (herein: cholera cases) during the outbreak period. In accordance with the NCDC guidelines for preparedness and response to acute watery diarrhoea outbreak , a cholera case was defined as the detection of a cluster of persons aged 2 years or older with acute watery diarrhoea and severe dehydration or dying from acute watery diarrhoea from the same area within 1 week. In line with best practice in the context of a cholera outbreak , however, children under the age of 2 years who met the case definition were included in the current study as cholera cases. A confirmed cholera was defined as a cholera case in which Vibrio cholerae O1 or O139 was isolated in the stool by microbiological investigation . The definition of other key study variables is shown in Table 1.
Exploratory analysis of baseline characteristics of the study population was conducted using appropriate statistical summaries including frequency and percentage for binary/categorical variables, and mean and standard deviation for normally distributed continuous variables. Primary outcomes included attack rate (AR) and case fatality rate (CFR), and were presented with respect to other key study variables (Table 1). The standard approach to the description of a disease outbreak in terms of person, place and time was then used for further analyses. Similar to data management, all statistical analyses were performed in Stata version 15, and a p-value of less than 0.05 was considered statistically significant.
Description of the study population
Twenty out of 36 states (plus the federal capital city of Nigeria, Abuja) were affected by the cholera outbreak, resulting in a total of 43,996 cases and 836 deaths during the outbreak period. Figure 2 shows the epidemiological curve for cholera cases and deaths by epidemic week. The outbreak was characterised by four distinct epidemic waves and mirrored a propagated epidemic pattern, suggesting a person-to-person transmission. Notably, the majority of cholera cases occurred in the second and fourth waves, with a peak at week 37; there was however a preponderance of cholera deaths towards the end of the third wave and beginning of the fourth wave, with sporadic cases of death in between the two waves. As expected, the majority (94.48%) of cholera cases were reported during the rainy season. It was interesting to note that health care was sought within a day of illness onset by the majority of cases (62.44%), with a particular preference for primary healthcare facilities (19.24%) and secondary hospitals (14.31%). The number of samples tested by culture was extremely low as only 137 (12.03%) out of 1139 samples collected during the outbreak period were examined, yielding 92 confirmed cholera cases of serogroup O1, biotype El Tor and serotype Inaba (results not shown). The spatial distribution of cholera cases across the 20 affected states is shown in Fig. 3. The remaining sections of the paper are presented in terms of cholera distribution by person and place, and time.
Distribution of cholera cases and deaths by person and place
Although the median age for the entire study population was 14 years (IQR: 5–30), individuals aged 15 years or older (47.76%) were the most affected age group during the outbreak (Table 2). With respect to gender, there was a slight dominance of females (50.74%) over males (49.26%). States from the north-east region of Nigeria accounted for over half (51.38%) of cholera cases, while those from the south-east region (0.47%) accounted for the least proportion of cases.
The overall attack rate during the outbreak period was 127.43/100,000 (Table 3); specifically, Zamfara (175.08/100,000 population) and Bauchi (134.65/100,000) states recorded higher ARs compared to other states such as Jigawa with an AR of 0.24/100,000 population. CFRs were generally high across all affected states, with about 70% of these states recording higher CFRs above the national figure of 1.90%. Notably, states from north-central recorded the highest CFRs [7.84% in Kogi and 7.04% in Nasarawa]. A sub-analysis of the data indicates that patients’ age and sex were significantly associated with CFR (Additional file 1), such that individuals aged 5 years or older recorded a higher CFR (2.11%) as compared with those under the age of 5 years (1.43%). In addition, males were found to record a higher CFR (2.12%) than females (1.69%).
Time (epidemiological wave)
Higher number of cholera cases was recorded consistently in individuals aged 5 years or older throughout the outbreak period, particularly in the third wave during which they accounted for 77.06% of recorded cases (Table 4). However, the distribution of cholera cases was about even between males and females across all waves. With respect to geographical distribution, states from the north-east accounted for a higher number of cases in the first (78.11%) and second (70.58%) waves, whereas those from the north-west accounted for a higher number of cases in the third (86.87%) and fourth (51.70%) waves. In addition, the majority of cases in the first, third and fourth waves were recorded in rural areas. Time to health seeking was generally impressive across the four waves given that most individuals sought health care within a day of illness onset, particularly in primary health and secondary facilities; however, nine patients reported practising home-based management of illness in the second and fourth waves. Also notable was the very few records of deaths recorded in the first wave, following which the remaining decedents spread almost evenly across the second (n = 233), third (n = 296), and fourth (n = 295) waves.
Summary and interpretations of key findings
This study described the epidemiology of the 2018 cholera outbreak in Nigeria in terms of case and death distribution by person, place and time. Overall, there were 43,996 cholera cases and 836 deaths across 20 states. The AR and CFR during the outbreak were 127.43/100,000 population and 1.90%, respectively. The CFR of 1.9% in the current study is comparable with that for Africa at approximately 2%  but almost twice as low as the value recorded by Dalhat and colleagues during the 2010 cholera outbreak in Nigeria . A CFR higher than the WHO recommended benchmark of < 1% [8, 9] is generally considered high and indicative of inadequate clinical case management or quality of care . However, we think that the heterogeneity of cholera case definition in Nigeria could affect the precision of the estimated CFR in the current study , hence the need for caution in interpreting this finding. With respect to demographic characteristics of the study population, older age group was associated with increased cholera transmission during the outbreak, but gender bias with respect to cholera case distribution was not obvious. In general, the distribution of cholera cases by age and sex in Nigeria is dynamic given the mixed available evidence. For instance, some studies have reported higher number of cholera cases in adults than in children [11,12,13,14,15,16] and vice-versa [17, 18], and some studies have similarly reported higher number of cholera cases in females than in males [4, 12, 19] and vice-versa [20, 21].
Epidemiological waves during the cholera outbreak appeared to had been significantly influenced by seasonality. The marked increase in cholera cases and deaths between week 35 and week 37 (peak of the fourth wave) coincided with when the intensity of rainy season had begun to dwindle across the country, which could be explained by one or a number of factors: (1) many persons tend to rely more on unsafe water sources when water levels are decreasing towards the end of rainy season ; (2) there is an increased likelihood for water sources to be contaminated by floods around this period [22, 23]; and (3) V. cholerae survival tends to be enhanced by the synergistic effects of zooplankton on iron level concentrations in waterways around this period . Furthermore, there is evidence to suggest that Islamic festivals (Ramadan and Id el Kabir) in 2018 might have played a role in the observed trends, notably in the second and fourth waves. The peak of the second wave coincided with the week after Ramadan had commenced, and the trend was maintained up to 2 weeks following the end of the festival. Also, initial phase of the fourth wave coincided with Id el Kabir period in 2018. It is therefore possible that the change in social behaviour during these periods might have influenced the observed trends in that the traditional gathering of families and relatives in large groups for meals, as well as increased chances for people to patronise street food and water vendors could potentially aid the transmission of cholera . Nevertheless, in line with one of the GTFCC’s strategic axes (i.e. targeted multi-sectoral approach to prevent cholera recurrence), the current finding could serve as evidential-basis for a synergistic collaboration between public health and religious stakeholders in the design and implementation of cholera-focused interventions.
The potential impact of armed conflict on increased cholera burden as evidenced by the high number of cases in states from the north-east region of Nigeria is worth discussing. When water sources and waste management system are disrupted, as they have been during Boko-Haram insurgency activities in this region, the transmission of cholera is likely. This hypothesis is supported by studies in Yemen  and Liberia . In addition, the high number of cholera cases in Bauchi (21.38%) in comparison to states directly affected by Boko Haram insurgency (e.g. 17.33% in Borno) could be explained by a ‘spill-over’ effect of armed conflict. The rapid influx of internally displaced persons from states directly affected by conflict to neighbouring states such as Bauchi could also create an enabling environment (e.g. inadequate or contaminated water sources, poor sanitation facilities, overcrowding, and limited capacity for healthcare delivery by health workers) for cholera transmission. This hypothesis is in line with the findings by Siddique and colleagues wherein poor living conditions of Rwandan refugees in Goma, Zaire, significantly increased cholera transmission . Again, these findings are suggestive of the need to extend cholera stakeholders beyond the traditional public health actors. This would involve actively engaging the security agency such as the Nigerian military in planning, training and implementing cholera-focused interventions, particularly given the fact that security personnel are usually among the first responders to such contexts. The feasibility of such collaboration is worth exploring in a follow-up study. Flooding in 2018 appeared to have aided cholera transmission and associated CFRs, particularly in Anambra, Kogi and Niger states. Flooding generally disrupts access to essential commodities including safe water sources and health care delivery, thereby exacerbating the occurrence of cholera and adverse clinical outcomes such as deaths . The potential impact of flooding on cholera deaths in Nigeria is not a new phenomenon as underlined in the 2010 outbreak .
The public health implications of Inaba serotype dominance in the 2018 outbreak is also worth mentioning given the dominance by Ogawa serotype for long period in Nigeria. For instance, the Ogawa serotype of V. cholerae was in circulation during the 2010 cholera in Nigeria as evidenced by the molecular characterisation of samples from Borno, Bauchi and Gombe states . Unlike the Ogawa serotype which appears to have established its niche in diverse contexts across Nigeria, the Inaba serotype appears to be localised in northern Nigeria such as Kano, Bauchi and Plateau states [31,32,33]. This could potentially explain why the 2018 cholera appeared to have originated from communities in Kano state; and why there were more cholera cases in adults than in children under the age of 5 years in the current study as evidenced by a study conducted in Bangladesh , albeit further evidence is required for a thorough explanation. Nevertheless, in the absence of a concrete evidence as to how and why V. cholerae serotypes change, the dominance of Inaba serotype in the 2018 outbreak could be attributable to ‘natural conversion as part of survival mechanism [34, 35]. Also, we do not think the severity of the 2018 cholera outbreak compared with previous years is related to the dominance of Inaba serotype as the two serotypes are similar pathogenicity [36, 37].
Study strengths and limitations
The current study has the advantage of using a more representative data than similar studies in Nigeria, as all the 20 affected states were captured in the analyses. In describing the epidemiology of the 2010 cholera outbreak in Nigeria, for example, Dalhat and colleagues utilised data from only 10 out of the 18 affected states that submitted surveillance data to the ministry of health . Given the current nature and scope of our study, the findings will be useful in developing prevention and control measures towards attaining the global roadmap strategic goals. Scientifically, the findings will also be useful to public health researchers in assessing the impact of interventions such as OCV campaigns. Our study however has a number of potential limitations worth mentioning. The definition of a cholera case  is at variance with the WHO’s definition with respect to age – our definition uses 2 years as the benchmark while that of WHO uses 5 years, albeit children under five meeting the case definition for cholera in endemic areas are considered suspected cases in both definitions . Pathogens other than V. cholerae could be responsible for cholera-like symptoms , which could potentially affect the precision of our findings as children under-5 years were included in the definition of suspected cholera cases in the current study. The lack of a homogenous definition of cholera especially in an endemic setting such as Nigeria made the direct comparison of our findings with similar studies challenging. For example, studies in Nigeria have used 5 years [12, 17, 40], 2 years [21, 41, 42], and no age restrictions [14, 19] for the definition of suspected cholera cases. Thus, this challenge should be prioritised by the GTFCC given the relevance to cholera case management and assessment of cholera burden, which would be strategic in the objective assessment of the global roadmap goals of cholera elimination by 2030.
The severity and wide-geographical distribution of cholera cases and deaths during the 2018 outbreak are indicative of an elevated burden, which was more notable in the northern region of the country. Overall, the current distribution of cholera cases and cholera-related deaths by person, place and time reaffirms the strategic role of a multi-sectoral approach in the design and implementation of public health interventions aimed at preventing and controlling cholera in Nigeria.
Availability of data and materials
The datasets used for this study are available from the corresponding author upon reasonable request.
Stands for Attack Rate
Stands for Case Fatality Rate
Stands for Disease Surveillance and Notification Officer
Stands for Global Task Force on Cholera Control
Stands for Local Government Area
Stands for Nigeria Centre for Disease Control
Stands for Surveillance and Epidemiology Department
Clemens JD, Nair GB, Ahmed T, et al. Cholera. Lancet. 2017;390:1539–49.
Microbiology Society. Factfile: cholera: death by Diarrhoea., 2016.
Ali M, Nelson AR, Lopez AL, et al. Updated global burden of cholera in endemic countries. PLoS Negl Trop Dis. 2015;9:e0003832.
Dalhat MM, Isa AN, Nguku P, et al. Descriptive characterization of the 2010 cholera outbreak in Nigeria. BMC Public Health. 2014;14:1167.
Mengel M, Delrieu I, Heyerdahl L, et al. Cholera outbreaks in Africa. Curr Top Microbiol Immunol. 2014;379:117–44.
Global Task Force on Cholera Control. Ending Cholera: A Global Roadmap to 2030. Annecy; 2017.
Nigeria Centre for Disease Control. Preparedness and response to acute watery Diarrhoea outbreaks: a guide for health workers and authorities in Nigeria. Abuja: Nigeria Centre for Disease Control; 2017.
World health organization. Cholera case fatality rate: situations and trends. Geneva: WHO; 2017.
World Health Organization. Cholera case fatality ratio (%). Geneva: WHO; 2011.
Sack D. How valid is a case fatality rate (CFR) when monitoring cholera care? Stop Cholera 2017.
Umoh JU, Adesiyun AA, Adekeye JO, et al. Epidemiological features of an outbreak of gastroenteritis/cholera in Katsina, northern Nigeria. J Hyg (Lond). 1983;91:101–11.
Ibrahim BS, Mohammed Y, Usman R, et al. Outbreak of cholera at Dutsen-Abba Ward Zaria local government area, Kaduna state Nigeria 2015: the importance of hygienic practices. Int J Community Med Public Health. 2017;4:1473.
Shittu OB, Akpan I, Popoola TOS, et al. Epidemiological features of a GIS-supported investigation of cholera outbreak in Abeokuta, Nigeria. J Public Health Epidemiol. 2010;2:152–62.
Ishaku A, Shadrack B, Ajumobi O, et al. Investigation of cholera outbreak in an urban north central Nigerian community-the Akwanga experience. Public Health Res. 2014;4:7–12.
Falade A, Lawoyin T. News from the regions - newsletter from Nigeria. Features of the 1996 cholera epidemic among Nigerian children in Ibadan, Nigeria. J Trop Pediatr. 1999;45:59–62.
Sule IB, Yahaya M, Aisha AA, et al. Descriptive epidemiology of a cholera outbreak in Kaduna state, Northwest Nigeria, 2014. Pan Afr Med J. 2017;27:172.
Fatiregun AA, Isere EE, Ayede AI, et al. Epidemiology of an outbreak of cholera in a south-west state of Nigeria: brief report. South African J Epidemiol Infect. 2012;27:201–4.
Utsalo SJ, Eko FO, Antia-Obong EO. Features of cholera and Vibrio parahaemolyticus diarrhoea endemicity in Calabar, Nigeria. Eur J Epidemiol. 1992;8:856–60.
Hutin Y, Luby S, Paquet C. A large cholera outbreak in Kano City, Nigeria: the importance of hand washing with soap and the danger of street-vended water. J Water Health. 2003;1:45–52.
Schram R. The 1971 cholera epidemic in Zaria, Nigeria. Savanna A J Environ Soc Sci. 1972;1:213–22.
Nnaji RN, Ajumobi O, bala U, et al. Cholera outbreak investigation, Gajala community, Birnin kudu local government area (LGA), Jigawa state, Nigeria, September 2015. Int J Infect Dis. 2016;45:144–5.
Ruiz-Moreno D, Pascual M, Bouma M, et al. Cholera seasonality in Madras (1901–1940): dual role for rainfall in endemic and epidemic regions. Ecohealth. 2007;4:52–62.
Hashizume M, Faruque ASG, Wagatsuma Y, et al. Cholera in Bangladesh. Epidemiology. 2010;21:706–10.
Faruque SM, Naser IB, Islam MJ, et al. Seasonal epidemics of cholera inversely correlate with the prevalence of environmental cholera phages. Proc Natl Acad Sci. 2005;102:1702–7.
Camacho A, Bouhenia M, Alyusfi R, et al. Cholera epidemic in Yemen, 2016-18: an analysis of surveillance data. Lancet Glob Health. 2018;6:e680–90.
Dureab F, Shibib K, Al-Yousufi R, et al. Yemen: cholera outbreak and the ongoing armed conflict. J Infect Dev Ctries. 2018;12:397–403.
Centers for Disease Control and Prevention. Cholera epidemic after increased civil conflict -Monrovia, Liberia. MMWr. 2003;52(45);1093-5.
Siddique AK, Salam A, Islam MS, et al. Why treatment centres failed to prevent cholera deaths among Rwandan refugees in Goma, Zaire. Lancet (London, England). 1995;345:359–61.
Sur D, Dutta P, Nair GB, et al. Severe cholera outbreak following floods in a northern district of West Bengal. Indian J Med Res. 2000;112:178–82.
Oyedeji KS, Niemogha M-T, Nwaokorie FO, et al. Molecular characterization of the circulating strains of Vibrio cholerae during 2010 cholera outbreak in Nigeria. J Health Popul Nutr. 2013;31:178–84.
Adewale AK, Pazhani GP, Abiodun IB, et al. Unique clones of Vibrio cholerae O1 El Tor with Haitian type ctxB allele implicated in the recent cholera epidemics from Nigeria, Africa. Kirk M (ed.). PLoS One. 2016;11:e0159794.
Usman A, Sarkinfada F, Mufunda J, et al. Recurrent cholera epidemics in Kano-northern Nigeria. Cent Afr J Med. 2005;51:34–8.
Opajobi S, Kandakai-Olukemi Y, Mawak J, et al. Vibrio Cholerae 01 infections in Jos, Nigeria. African J Clin Exp Microbiol. 2004;5:260–4.
Khan AI, Chowdhury F, Harris JB, et al. Comparison of clinical features and immunological parameters of patients with dehydrating diarrhoea infected with Inaba or Ogawa serotypes of Vibrio cholerae O1. Scand J Infect Dis. 2010;42:48–56.
Alam M, Ray S, Chun C, et al. Major shift of toxigenic V. cholerae O1 from Ogawa to Inaba serotype isolated from clinical and environmental samples in Haiti. Vinetz JM (ed.). PLoS Negl Trop Dis. 2016;10:e0005045.
Woodward WE. Cholera reinfection in man. J Infect Dis. 1971;123:61–6.
Benenson AS, Mosley WH, Fahimuddin M, et al. Cholera vaccine field trials in East Pakistan. 2. Effectiveness in the field. Bull World Health Organ. 1968;38:359–72.
World Health Organization. Cholera outbreak: assessing the outbreak response and improving preparedness, vol. 2004. Geneva.
World Health Organization. The treatment of Diarrhoea: a manual for physicians and other senior health workers, vol. 2005. Geneva.
Kolo P, Jibrin Y, Sanya E, et al. Outcome of cholera admissions in Bauchi, Nigeria. South African J Epidemiol Infect. 2013;28:143–6.
Gidado S, Awosanya E, Haladu S, et al. Cholera outbreak in a naïve rural community in northern Nigeria: the importance of hand washing with soap, September 2010. Pan Afr Med J. 2018;30. https://doi.org/10.11604/pamj.2018.30.5.12768.
Abubakar AT, Dalhat M, Nguku P. Cholera outbreak - IDP camps in Maiduguri, northern Nigeria, September 2015. Int J Infect Dis. 2016;45:132.
We wish to thank the NCDC and WHO staff, especially those in the cholera Technical Working Group; the State Epidemiologists and Disease Notification and Surveillance Officers who coordinated the collection of data used for this study.
The corresponding author, Kelly Osezele Elimian, was paid a consultancy fee by the World Health Organization. However, the World Health Organization neither played a role in the design of the study, collection, analysis, and interpretation of data nor in writing the manuscript.
Ethics approval and consent to participate
The protocol for this study was reviewed and approved by the Federal Capital Territory (FCT, Nigeria) Health Research Ethics Committee (FCT HREC) (Approval Number: FHREC/2019/01/05/21–01-19).
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Elimian, K.O., Musah, A., Mezue, S. et al. Descriptive epidemiology of cholera outbreak in Nigeria, January–November, 2018: implications for the global roadmap strategy. BMC Public Health 19, 1264 (2019). https://doi.org/10.1186/s12889-019-7559-6
- Attack rate
- Case fatality rate
- Global roadmap