Epidemiology of measles outbreaks, incidence and associated risk factors in Ethiopia from 2000 to 2023: a systematic review and meta-analysis

Abstract

Background

Although a universal vaccine is available and Ethiopia is working outstandingly towards measles elimination, a recurrent measles outbreak has occurred each year in different parts of the country. Therefore, understanding the epidemiology of measles cases, the incidence of confirmed measles virus cases and related risk factors is crucial. Here, we conducted a systematic review and meta-analysis to summarize information regarding the epidemiology, measles incidence rate and risk factors for national measles infections occurring in the past two decades, from 2000 to 2023.

Methods

Data from electronic databases, including PubMed, African Journal Online, WHO databases and Google Scholars, were searched to identify studies describing measles outbreaks, incidence rates and associated factors in Ethiopia that occurred between 2000 and 2023. Important basic information was extracted in an Excel spreadsheet and imported into Comprehensive Meta-analysis Software version 3 to evaluate the associations between measles outbreaks and different risk factors. We pooled the odds ratios (ORs) and 95% confidence intervals (CIs) for every included risk factor to evaluate the associations with measles outbreaks.

Results

We included 36 studies involving 132,502 patients with confirmed measles cases in Ethiopia. The results of this systematic review and meta-analysis revealed that measles outbreaks were more frequently reported in the Oromia region (73,310 (33.1%)), followed by the Southern Nation Nationalities of Ethiopia region (29,057 (13.4%)). The overall pooled analysis indicated that the prevalence of measles susceptibility was 67.5% (95% CI: 67.3–67.8%), with an I² of 99.86% and a p value for heterogeneity < 0.0001. The non-vaccinated status of the children, their contact history with measles cases, their travel history, the presence of cases in family or neighbors, and malnourished patients were identified as factors associated with the high prevalence and recurrent measles infections in Ethiopia.

Conclusion

The results of this systematic review and meta-analysis indicated that the pooled prevalence of measles infection was high, which is a public health concern in Ethiopia. Thus, strengthening healthcare services, regular vaccination campaigns, and the integration of health education activities with other services may decrease the incidence rate.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-024-09828-6.

Introduction

Measles is a highly contagious disease caused by the measles virus. The measles virus is an enveloped, single-stranded, negative-sense RNA virus that belongs to a member of the genus Morbillivirus in the family Paramyxoviridae [1]. The virus genome consists of six genes that encode eight viral proteins (six structural and two nonstructural proteins). The six structural proteins are the hemagglutinin (H) protein, fusion protein (F), nucleocapsid protein, phosphoprotein, matrix protein, and large protein [2]. These structural proteins, particularly the H and F proteins, are responsible for the interaction of the virus with the host cell and the fusion of the viral envelope with the plasma membrane to initiate infection [3]. After human-to-human contact via respiratory droplets, more than 90% of susceptible individuals may develop systemic infections such as fever, malaise, cough, rhinitis, conjunctivitis, and Koplik’s spots, followed by maculopapular rash [4, 5].

Prior to the introduction of the measles vaccine in 1963, this viral disease caused more than 2 million deaths and 15,000–60,000 cases of blindness worldwide [6]. Owing to its high mortality and morbidity rates, in 2001, the American Red Cross, CDC, UNICEF, and WHO launched the Measles and Rubella Initiative (MRI), with the goal of reducing measles mortality by 90% in 2010 compared with the 2000 baseline [7]. These vaccination efforts resulted in a 79% reduction in global measles deaths, from 535,000 in 2000 to 139,300 in 2010 [8]. In 2011, members of the WHO Regional Office for Africa adopted a decision to eliminate measles by 2020. Member countries developed a measles elimination strategic plan to achieve the following goals by 2020: achieve and maintain measles incidence below 1 case per million population; achieve and maintain > 95% MCV1 coverage at the national and regional levels in all regions; maintain at least ≥ 95% SIA coverage; and incorporate the second dose of measles into the routine vaccination schedule [9].

Ethiopia is a strong supporter of membership in the WHO African Regional Office and advocates for a national measles strategic plan to control and ultimately eliminate measles by 2020 [10]. The country also launched a nationwide measles catch-up campaign (SIA) in 2009 and initiated field epidemiology and laboratory training programs [11, 12]. In February 2019, Ethiopia incorporated the second dose of the measles vaccine (MCV2) into its routine vaccination schedule. However, despite these efforts, national plans to accelerate measles control by 2012 (< 5 cases per 1 million people per year) and eliminate measles by 2020 (< 1 case per 100,000 people per year) have not yet been achieved [13]. Nevertheless, measles is endemic in Ethiopia, and the annual rate of measles incidence has increased significantly. Currently, there is a high rate of measles incidence, with more than 50 cases per 1,000,000 people reported annually [14]. Ethiopia remains the 4th-leading country in the world in terms of the burden of measles cases and is experiencing an ongoing measles outbreak, with more than 6933 measles confirmed cases in 2023 [15, 16].

Although the characteristics of measles infection have been well described, previous studies have focused mainly on descriptions of single measles outbreaks, and few studies have summarized the measles immunization situation in Ethiopia. In those studies, attention has been given to summarizing measles outbreaks, incidence, and risk factors. Therefore, we conducted a systematic review and meta-analysis to summarize information regarding the outbreaks, epidemiology, incidence and risk factors for measles infection in Ethiopia from 2000 to 2023.

Methods and materials

Search strategies

Both published articles and unpublished reports were searched for primary studies through electronic databases, including PubMed, Scopus, African Journal Online, WHO, and Google Scholar, to identify studies describing measles outbreaks, incidence rates and associated factors in Ethiopia that occurred between 2000 and 2023 (Fig. 1). The selection of search terms was conducted in population, intervention, comparison, and outcome (PICO) format [17]. For the population search term “Ethiopia”, for the intervention search term “Measles risk factor”, the search terms used for comparison and outcome were “no measles” and “measles” or “measles” and “no measles”. These terms were searched individually in each database and then combined using “OR” and “AND”. We registered our protocol with the Prospero International Register of Systematic Reviews (http://www.crd.york.ac.uk/PROSPERO/) 23/11/2023 (CRD42023482250). The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist [18] was utilized to present the findings of the epidemiology of measles outbreaks, incidence and associated factors in Ethiopia.

Fig. 1.

PRISMA (flow chart of study selection for epidemiology of measles outbreaks, incidence and associated factors in Ethiopia from 2000 to 2023: a systematic review and meta-analysis)

Inclusion and exclusion criteria

Articles that reported measles epidemiology, incidence, and associated risk factors that occurred in Ethiopia were eligible for this systematic review and meta-analysis. The search was limited to articles published between January 1, 2000, and May 1, 2023. Quantitative studies with sufficient basic information (measles outbreak location and epidemiological investigation about the outbreak) and a clear diagnosis of measles were included, irrespective of whether the study was implemented in a health facility and/or in the community. The exclusion criteria were as follows: research articles describing measles outbreaks outside of Ethiopia; reports or studies that lacked key information or were not related to the aim of this study; and measles outbreaks that occurred before January 1, 2000.

Data extraction

The relevant studies were identified and merged after duplicate studies were removed via EndNote X7. The data extraction format was applied by considering all the inclusion criteria to check consistency and ensure that all the pertinent information was addressed. The format includes author name, year of publication, year of measles outbreak, country, region, study design, study period, study setting, sample size, and risk factors for measles outbreak, including the number of patients (measles cases) and controls (non-measles cases). The three reviewers (DE, WT & BT) independently assessed the articles and extracted the information from each included study according to the predefined set of inclusion criteria. Any data discrepancy among the data reviewers was resolved by referring to the original study through discussion with fourth and fifth reviewers.

Data quality assessment and risk of bias

The qualities of the data or the selected articles were assessed according to the Joanna Brigg’s Institute (JBI) critical appraisal checklist, which contains 9 checklist items [18]. On the basis of the 9 points of the JBI checklist, the three authors (DE, WT & BT) assessed the overall methodological quality and evaluated the quality of the articles as low quality (< 5 out of 9), moderate quality (5–7), or high quality (> 7) (additional file 1). The assessments revealed that more than 90% of the eligible articles included in this systematic review and meta-analysis were high-quality, and these data were compiled into a standard table (Table 1).

Table 1.

Characteristics of the articles included in the study

First Author Name	Ref	Quality	Study region	Study design	Year of Study	Population at risk	Suspected cases	Measles confirmed cases
Hassen MN.	[19]	High	Addis Ababa	Surveillance	2005–2014	3,167,035	4,203	1,718
Desta TK.	[12]	High	Addis Ababa	Surveillance	2006–2016	2,750,000	4,780	1,869
TE Duressa	[20]	High	Addis Ababa	Surveillance	2013	3,101,896	610	543
Beyene BB.	[21]	High	Addis Ababa	Surveillance	2005–2009	2,750,000	1,227	1,184
Biru M.	[22]	High	Afar	surveillance	2013–2017	1,390,273	400	254
Ayele WM.	[23]	High	Afar	Case-control	2016	38,991	108	50
Desta TK.	[12]	High	Afar	surveillance	2006–2016	1,390,273	1,124	819
Beyene BB.	[21]	High	Afar	Surveillance	2005–2009	1,390,273	492	295
TE Duressa	[20]	High	Afar	Surveillance	2013	38,991	107	43
Tesfaye, A.	[24]	High	Amhara	Case-control	2017	112,673	201	134
Girmay. A.	[25]	High	Amhara	Case-control	2016	12,446	29	29
Tariku MK.	[26]	High	Amhara	Case-control	2018	103,611	38	38
Aragaw, M.	[27]	Moderate	Amhara	Cross-sectional	2009	236,098	97	97
Desta TK,	[12]	High	Amhara	Surveillance	2006–2016	17,221,976	14,324	10,212
Getahun M	[28]	High	Amhara	Surveillance	2004–2014	17,221,976	7,296	3,331
TE Duressa	[20]	High	Amhara	Surveillance	2013	19,046,226	1,223	773
Ashenafi A.	[29]	High	Amhara	Surveillance	2009–2013	2,382,497	492	205
Beyene BB.	[21]	High	Amhara	Surveillance	2005–2009	17,221,976	3,057	2,278
Tsegaye G.	[30]	High	Oromia	Case-control	2021	41,323	98	98
Tsegaye G.	[31]	High	Oromia	Surveillance	2013–2019	1,963,416	4,241	3,866
Belda, K.	[32]	High	Oromia	Cross-sectional	2015	1,787,760	1,059	1,057
Kalil, F.S.	[33]	High	Oromia	Case-control	2018–2019	164,702	1,043	1,038
Mebrate M.	[34]	High	Oromia	Case-control	2020	8,270	109	37
Getachew A.	[35]	High	Oromia	Case-control	2018	130,709	16	16
Babure ZK.	[36]	High	Oromia	Cross-sectional	2020	92,514	976	976
Yitbarek K.	[37]	High	Oromia	Surveillance	2011–2018	32,240,188	31,835	24,947
Beyene BB.	[21]	High	Oromia	Surveillance	2005–2009	26,993,933	7,861	4,207
Desta TK.	[12]	High	Oromia	Surveillance	2006–2016	32,240,188	41,191	31,802
Gutu MA.	[38]	High	Oromia	Surveillance	2007–2016	32,240,188	26,908	18,223
Poletti P.	[39]	High	Oromia	Surveillance	2013–2017	1,341,702	12,194	819
Mitiku K.	[40]	Moderate	Oromia	Surveillance	2007	1,900,412	718	670
TE Duressa	[20]	High	Oromia	Surveillance	2013	32,240,188	3,540	2,790
Bukuno S.	[41]	High	SNNPR	Case-control	2022	53,192	140	140
Beyene BB.	[21]	High	SNNPR	Surveillance	2005–2009	14,929,548	2,856	2,138
W/Kidan F.	[42]	High	SNNPR	Case-control	2019	5,572	40	40
A.B. Woyessa	[43]	Moderate	SNNPR	Case-control	2011–2012	286,600	2,866	2,150
Desta TK.	[12]	High	SNNPR	Surveillance	2006–2016	14,929,548	23,477	17,077
TE Duressa	[20]	High	SNNPR	Surveillance	2013	17,857,192	6,412	5,762
Bekele BB	[21]	High	SNNPR	Cross-sectional	2016	2,160,701	192	45
Getahun M.	[44]	High	SNNPR	Surveillance	2007–2014	14,929,548	4,810	1,614
Degefa1 G.	[45]	High	Tigray	Surveillance	2012–2015	870,375	757	751
Mohamed AD	[46]	High	Tigray	Surveillance	2013–2017	4,316,988	668	244
Desta TK.	[12]	High	Tigray	Surveillance	2006–2016	4,316,988	2,927	1,672
TE Duressa	[20]	High	Tigray	Surveillance	2013	5,003,446	134	122
Beyene BB.	[21]	High	Tigray	Surveillance	2005–2009	4,316,988	705	705
Yusuf M.	[47]	High	Somali	Cross-sectional	2016	478, 168	406	406
Ismail AS.	[48]	High	Somali	Case-control	2016	312,713	99	33
Beyene BB.	[21]	High	Somali	Surveillance	2005–2009	4,445,219	313	245
TE Duressa	[20]	High	Somali	Surveillance	2013	5,178,258	66	66
Desta TK,	[12]	High	Somali	Surveillance	2006–2016	4,445,219	1,639	1,366
Ali AM	[49]	High	Somali	Surveillance	2017–2018	4,445,219	529	771

Data synthesis

Both descriptive and statistical data synthesis approaches were used to present the findings of this systematic review and meta-analysis. A summary table was prepared to explain the characteristics of the included articles. We described the epidemiology of measles, its incidence and associated risk factors. We performed a statistical meta-analysis for the thirty-six included articles after organizing the data on an Excel spreadsheet and imported it to Comprehensive Meta-analysis Software version 3 to evaluate the associations between measles outbreaks and different risk factors. We pooled the odds ratios (ORs) and 95% confidence intervals (CIs) for every included risk factor to evaluate the associations with measles outbreaks. We assessed the level of heterogeneity across studies via both random effects and fixed effects models, reporting heterogeneity and overall p values. An I² value greater than 50% indicated high heterogeneity between studies; therefore, a random effects model was implemented.

Operational definition

A measles outbreak

is the occurrence of five or more reported suspected cases of measles in one month per 100 000 people living in a geographical area.

Measles-confirmed cases

suspected measles cases that were reported from the surveillance system and confirmed by laboratory serological tests.

An epidemiologically linked case

refers to a suspected case that has been linked (in person, place, and time) to a laboratory-confirmed case.

Non-measles infected case

was defined as any notified case or suspected case that was measles-specific IgM negative after testing as per established laboratory protocols.

Measle incidence

The measles incidence was calculated by dividing measles-confirmed cases by the population of the year and then multiplying by one million to compute the measles incidence per million people for a single-year period or multiple-year period.

Results

Study selection

Among the 354 records identified, 211 were screened after the removal of records duplicated in more than one electronic database, and 79 records were excluded because of an unrelated title and country. Following this, 57 records were excluded because they were abstracts only, letters to editors, poster papers, or guidelines, and 39 full records or articles were excluded because of the study period and incomplete information. Finally, 36 records or articles that met the critical appraisal checklists were included in this systematic review and meta-analysis, regardless of their study design (Fig. 1).

Epidemiology of measles cases in Ethiopia

Among all the selected studies, 227,250 suspected and 149,415 (65.75%) confirmed measles cases were reported from 2000 to 2023. Among these measles-confirmed cases, 62,521 (27.51%) were laboratory-confirmed (IgM + ve), 48,887 (21.51%) were epidemiologically linked, and 38,007 (16.72%) were clinically compatible. The Oromia region is one of the most affected regions, contributing approximately 90,610 (73.42%), followed by the Southern Nation Nationalities of Ethiopia region, which accounts for more than 29,057 (70.06%) measles-confirmed cases of the overall specified regions (Table 2).

Table 2.

Distribution of measles cases by region and measles confirmed cases by laboratory, epidemiological and clinically compatible methods from 2000–2023, Ethiopia

Study Region	Lab Confirmed (IgM + ve)	Discarded or (IgM -ve)	Epi linked	Clinical Compatible	Total Confirmed cases by Lab, Epi & Clinical	Total Measles suspected
Addis Ababa	1,252	5,506	2,300	1,762	5,314 (49.11%)	10,820
Afar	689	501	245	189	1,123 (69.15%)	1,624
Amhara	7,945	9,870	5,455	3,697	17,097 (63.40%)	26,967
Oromia	38,045	32,797	29,457	23,108	90,610 (73.42%)	123,407
SNNPR	12,085	12,420	9,402	7,570	29,057 (70.06%)	41,477
Tigray	1,422	1,621	1,186	962	3,570 (68.77%)	5,191
Somali	1,083	15,120	842	719	2,644 (14.88%)	17,764
Total	62,521(27.51%)	77,835	48,887(21.51%)	38,007(16.72%)	149,415 (65.75%)	227,250

Lab-confirmed cases (Lab): cases in which the person’s serum, throat swab, oral fluid or urine sample tested positive for either measles IgM antibody or virus RNA by PCR. Epidemiologically linked cases (Epi) are cases in which the patient has contact with a laboratory-confirmed case within three weeks before the onset of disease. Clinically confirmed cases are defined as fever and a maculorash accompanied by one of three symptoms: cough, coryza, or conjunctivitis. The discarded cases were cases in which the serum sample tested negative for measles IgM or if no serum sample was tested but was epidemiologically linked to an outbreak that was negative for measles

The overall pooled prevalence of measles-confirmed cases was 67.6% (95% CI: 67.3–67.8%), with an I² of 99.86% and a p value for heterogeneity < 0.0001 (Table 3). This meta-analysis also described a subgroup analysis of the pooled prevalence of the different administrative regions of Ethiopia. The largest pooled prevalence of measles confirmed cases occurred in the Oromia region, with 72.9% (95% CI: 72.7–73.2%), followed by the Southern Nation Nationalities of Ethiopia region, with 69.3% (95% CI: 68.8–69.7%), and the Afar region, with 68.9% (66.6–71.2%). In a comparison of measles susceptibility based on investigation modalities, the prevalence of measles investigated by survey and by health facilities was 69.4% (95% CI = 69.2–69.6%; I² = 99.78%; P < 0.0001) and 5.9% (95% CI = 5.6–6.3%; I² = 99.82%; P < 0.0001), respectively (Table 3).

Table 3.

Subgroup analysis of measles cases in different regions of Ethiopia

Regions	No of studies	Measles Suspected cases	Measles confirmed cases	Per cent (%)	95% CI	Heterogeneity
						I2 (%)	P value
Oromia	14	123,407	90,610	72.9	(72.7–73.2%)	99.78	< 0.0001
SNNPR	9	41,477	29,057	69.3	(68.8–69.7%)	99.82	< 0.0001
Amhara	9	26,967	17,097	62.9	(62.3–63.5%)	99.54	< 0.0001
Tigray	5	5,191	3,570	56.9	(55.3–58.5%)	98. 14	< 0.0001
Somali	6	17,764	2,644	13.3	(12.6–14. 1%)	99.96	< 0.0001
Addis Ababa	4	10,820	5,314	43.2	(42.2–44.2%)	99.67	< 0.0001
Afar	3	1,624	1,123	68.9	(66.6–71.2%)	93.21	< 0.0001
Total		227,250	149,415	67.6	(67.3–67.8%)	99.86	< 0.0001

Measles incidence rate

The incidence rate of measles in Ethiopia has significantly varied between 2005 and 2023. A noticeable increase in the incidence rate started in 2008, with 42.4 cases per million people, and reached its peak in 2015, with 173.2 cases per million people. Although the incidence rate declined between 2016 and 2020, there was a surge in 2022, indicating that the incidence rate is fluctuating and not consistently declining (Fig. 2). This suggests that measures to control the disease have not been consistently effective.

Fig. 2.

Incidence rate of measles in Ethiopia (Epidemiology of measles outbreaks, incidence and associated factors in Ethiopia from 2000–2023: a systematic review and meta-analysis)

Factors associated with measles outbreaks

In our systematic review and meta-analysis, none vaccinated patients, having a contact history with measles patients, a non-educated mother, travel history to the measles site, a distance greater than 2 km from health facilities, the presence of cases in a family or neighbor, a non-ventilated house, and malnourished patients were statistically associated with measles outbreaks. However, poor knowledge of measles transmission, living in a room by more than five people, and previous measles infections were not statistically associated with measles outbreaks (Fig. 3).

Fig. 3.

Factors associated with measles cases in Ethiopia (Epidemiology of measles outbreaks, incidence and associated factors in Ethiopia from 2000–2023: a systematic review and meta-analysis)

The significant risk factors from a number of studies revealed that none vaccinated patients were 2.6 times more likely to have measles infections than were the vaccinated patients (2.63; 1.992–3.477), and a history of contact with measles patients made them nearly 3 times more likely to have measles infections (2.94; 2.198–3.928). Patients from illiterate mothers were 1.4 times more likely to have measles infections (1.38; 1.004–1.907), whereas patients with a travel history to the measles area were 1.7 times more likely to have measles infections (1.7; 1.209–2.341). On the other hand, the presence of cases in a family or neighbor makes them 2.2 times more likely to have measles infections, and taking two or more than two vaccine doses decreases the odds of contracting measles by 61% compared with those who do not take two or more vaccines (Table 4).

Table 4.

Subgroup analysis for significant risk factors associated with measles cases in Ethiopia

Significant Risk Factors	No. studies	Pooled data subgroup-analysed with (95% CI)	Heterogeneity
			I2 (%)	P value
Having contact history with measles cases	11	2.94 (2.198–3.928)	88.53	< 0.001
None vaccinated children	10	2.63 (1.992–3.477)	90.22	< 0.001
Travel history	7	1.68 (1.209–2.341)	84.21	0.002
Presence of cases in family/neighbour	4	2.15 (1.414–3.274)	88.86	< 0.001
Vaccine doses two or more than two	4	0.39 (0.233–0.682)	79.16	0.002
Malnourished patients	2	5.99 (3.112–11.53)	86.72	< 0.001

Discussion

This systematic review and meta-analysis focused on describing the magnitude of the measles outbreak and identifying the risk factors for measles infection in Ethiopia. This study presents the epidemiology, incidence rate, and risk factors for measles outbreaks that occurred in the past two decades between 2000 and 2023.

The overall pooled prevalence of measles-confirmed cases among all regions was 67.6% (95% CI: 67.3–67.8%); however, a difference in the pooled prevalence of measles-confirmed cases was observed among the regions in our study. The Oromia region was the most affected region, with 72.9% (95% CI: 72.7–73.2%), followed by the Southern Nation Nationalities of Ethiopia region, with 69.3% (95% CI: 68.8–69.7%), and the Afar region, with 68.9% (66.6–71.2%). The disparity may be due to differences in early detection and confirmation of measles epidemics among regions, and the highest pooled prevalence may be due to the large susceptible population, which may contribute to the spread of the virus.

The measles incidence is high and has remained above 15 cases per million populations for the past twenty years. This reveals that the country is not on the right track to attain the measles elimination goal of less than 1 case per million people by 2020 [50]. According to the present study, the highest measles incidence rate (173.2 per 1,000,000 people) occurred in 2015, and the lowest measles incidence rate (15.8 per 1,000,000 people) occurred in 2018. The variation in incidence rates from year to year could be due to differences in measles outbreak duration, low routine measles vaccine coverage, poor living and nutritional conditions, measles susceptibility accumulation, or differences in clusters of non-immune individuals [51].

Our meta-analysis revealed that the non-vaccinated status of children, contact history with measles patients, travel history to measles endemic site, the presence of measles cases in family/neighbors and malnourished patients were statistically significant risk factors for the continued high incidence rate of measles in Ethiopia. Among those risk factors, the overall pooled prevalence of non-vaccinated children in our study was 2.63 (95% CI: 1.992–3.477). Thus, the likelihood of acquiring measles infection was approximately 2.6 times greater in unvaccinated patients than in vaccinated patients. This result is in line with studies conducted in Zimbabwe (3 times) [52] and Ethiopia (5 times) [53]. This may be due to the perceptions of societies about the importance of vaccines. These factors result in low vaccination coverage and inadequate herd immunity in the community.

The pooled estimate of patients who had a history of contact with measles patients revealed a 2.9-fold greater risk of developing measles infection than did those who had no known contact history. This finding is consistent with studies performed in Japan, mainland China and Taiwan in China [54]. This is because the measles virus is highly contagious and is transmitted either by direct or indirect contact with infected patients’ respiratory droplets, which increases the spread of the virus from person to person.

In many low-income countries, including Ethiopia, malnutrition is a great challenge and leads to increased susceptibility to infectious diseases [55]. In this study, the odds of acquiring measles infection in malnourished children were 5.99 times greater among children who were not malnourished (5.99; 95% CI 3.112–11.53). The findings of this meta-analysis are in line with those of a study conducted in Yemen [56]. The association between measles and malnutrition has been described, in that malnourished children are more likely to contract the measles virus than are well-nourished children. In temperate regions, virus transmission peaks in late winter and early spring and follows the rainy season in tropical regions [57]. However, in this study, knowledge about measles transmission was not statistically associated with measles outbreaks.

Conclusion

Although; considerable improvement was practiced to eliminate Measles in Ethiopia, the outbreaks is continue to occur in many parts of the country and becomes a cause of significant number of death. In this study, the pooled prevalence of measles infection was high (67.6%), which is a public health concern in Ethiopia. The Oromia region was the most affected region, followed by the Southern Nation Nationalities of Ethiopia region and the Afar region. The result of our study also shows a significant association in terms non-vaccinated status of the children, having a history of contact with measles cases, travel history, the presence of cases in families/neighbors and malnourished patients. Those risk factors were identified as factors associated with the high prevalence and recurrent measles infections in the country.

Thus, major efforts will be needed to strengthening healthcare services, regular vaccination campaigns, and the integration of health education activities with other services to reduce measles incidence rate.

Limitations

Our study had several limitations. First, since our systematic review and meta-analysis were based on reported or published papers, some measles outbreaks may not have been recorded. Therefore, the actual number of measles cases associated with these outbreaks was possibly greater than recorded. Second, measles is self-limiting, and most infections are asymptomatic; thus, some measles patients may become unidentified during measles outbreaks. Despite these limitations, we believe that our systematic review and meta-analysis provide useful information regarding the national epidemiology of measles outbreaks, incidence and important risk factors.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Abbreviations

CDC

Centers for Disease Control

CI

Confidence interval

F-protein

Fusion protein

H-protein

Hemagglutinin protein

MRI

Measles and Rubella Initiative

MCV

Measles vaccine

MV

Measles virus

RNA

Ribonucleic acid

WHO

World health origination

Author contributions

DE, WT and BT. conceived, designed the study and led the protocol design, study design, the data acquisition and data extraction. DE. conducted the statistical analysis and wrote the draft. GB. and AM. critically revised and modify the manuscript for important intellectual content. All the authors have read and approved the final manuscript.

Funding

There was no funding or sponsoring organization for this study.

Data availability

The authors confirm that all relevant data were included in the manuscript and that we do not have any research data outside the submitted manuscript file.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.