Africa-wide meta-analysis on the prevalence and distribution of human cystic echinococcosis and canine Echinococcus granulosus infections.

BACKGROUND: Echinococcosis is a neglected zoonosis of increasing public health concern worldwide. According to the World Health Organization, 19,300 lives and 871,000 disability-adjusted life-years are lost globally each year because of cystic echinococcosis. Annual costs associated with cystic echinococcosis were estimated at US$ 3 billion because of treatment of cases and losses in the livestock industry.
METHODS: We performed the random-effects model of meta-analysis using 51-year (1970-2021) data available from AJOL, Google Scholar, PubMed, Science Direct, Scopus and Web of Science. We also applied the Joanna Briggs Institute critical appraisal instrument for studies reporting prevalence data, the Cochran's Q-test, Egger's regression test and the single study deletion technique to respectively examine within-study bias, heterogeneity, across-study bias and sensitivity.
RESULTS: Thirty-nine eligible studies on human cystic echinococcosis (HCE) from 13 countries across the five African sub-regions showed an overall prevalence of 1.7% (95% CI 1.1, 2.6) with a statistically significant (P < 0.001) sub-group range of 0.0% (95% CI 0.0, 14.1) to 11.0% (95% CI 7.6, 15.7). Highest prevalences were observed in Eastern Africa (2.7%; 95% CI 1.4, 5.4) by sub-region and Sudan (49.6%; 95% 41.2, 58.1) by country. Another set of 42 studies on Echinococcus granulosus infections (EGI) in dogs from 14 countries across the five African sub-regions revealed an overall prevalence of 16.9% (95% CI 12.7, 22.3) with a significant (P < 0.001) variation of 0.4 (95% CI 0.0, 5.9) to 35.8% (95% CI 25.4, 47.8) across sub-groups. Highest prevalences of E. granulosus were observed in North Africa (25.6%; 95% CI 20.4, 31.6) by sub-region and Libya (9.2%; 95% CI 5.7, 13.9) by country.
CONCLUSION: Human cystic echinococcosis and EGI are respectively prevalent among Africans and African dogs. We recommend a holistic control approach that targets humans, livestock, dogs and the environment, which all play roles in disease transmission. This approach should involve strategic use of anthelminthics in animals, standardized veterinary meat inspection in abattoirs, control of stray dogs to reduce environmental contamination and proper environmental sanitation. Mass screening of humans in hyper-endemic regions will also encourage early detection and treatment.

Background

Cystic echinococcosis is a cestodal zoonosis caused by metacestode of the tapeworm Echinococcus granulosus. Echinococcus granulosus (s.l.) is a complex comprising ten genospecies (G1–G9 and the lion strain). The genospecies G1–G3 are closely related and are referred to as E. granulosuss (s.s.) [1, 2]. The genospecies G1 (which is the common sheep strain) is the most common cause of human cystic echinococcosis (HCE) worldwide [3]. However, other zoonotic genospecies include strain G5 (E. ortleppi) and strain G6–G9, which are referred to as E. canadensis [4].

Cystic echinococcosis is classified among neglected zoonotic diseases by the World Health Organization [5] and is one of the helminthic diseases with the widest geographic distribution, existing in all continents of the world, with the exception of only Antarctica [6-8]. According to the estimations made by the foodborne disease burden epidemiology reference group of the World Health Organization, 19,300 lives and 871,000 disability-adjusted life-years are lost globally each year due to cystic echinococcosis. Annual costs associated with cystic echinococcosis were also estimated at US$ 3 billion because of treatment of cases and losses in the livestock industry [9].

The tapeworm Echinococcus granulosus infects the small intestine of canids, which serve as its definitive hosts. Herbivores act as intermediate hosts, where the parasitic larva, called hydatid cyst, causes a condition referred to as cystic echinococcosis. Humans acquire infection through the ingestion of food (particularly vegetable and water) contaminated with feces of infected dogs [10]. Humans do not contribute to the sustenance of the life cycle, hence are considered aberrant intermediate hosts or dead-end hosts [11]. E. granulosus is principally maintained in a domestic dog-sheep-dog cycle, where it is transmitted between stray or owned dogs and a number of domestic ruminant species [9].

The life cycle is complex, involving two hosts and a free-living egg stage. The dynamics of the transmission of the parasite are determined by the interaction of factors associated with these two hosts and with the external environment. Some of the factors that perpetuate cystic echinococcosis in humans may include farming activities involving livestock and dogs as well as home-slaughtering practices and dogs scavenging within abattoir premises [12].

Cystic echinococcosis usually remains asymptomatic for years before the hydatid cysts grow large enough to cause symptoms. Clinical symptoms are dependent on organs affected, cyst location within the organ, cyst size and the genotype of the parasite associated with infection [13, 14]. Symptoms may be associated with complications such as cyst rupture with resultant infection and anaphylaxis, fistula development with adjacent structures like biliary tract, intestine and bronchus and mass effects on neighboring structures [15].

Cystic echinococcosis is a zoonosis of increasing public health concern worldwide. Several individual surveillance studies on both HCE and E. granulosus infections in dogs (the definitive hosts) have been reported across the African continent. However, harmonized data on the pathogen in Africa are lacking. In this study, we performed a systematic review and meta-analysis of data published on cystic echinococcosis in humans and E. granulosus infections in dogs on the African continent between January 1, 1970, and December 31, 2021, and presented in this report Africa-wide prevalence and distribution of echinococcosis.

Methods

Study protocol

This Africa-wide systematic review and meta-analysis was performed in line with the 27 items recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) published by Moher et al. [16]. The basic requirement for inclusion of a study was the occurrence of cystic echinococcosis in humans and the infection of dogs with E. granulosus. We registered the review protocol on PROSPERO with registration number CRD42020208975 and available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020208975.

Information sources and search strategy

Authors systematically searched AJOL, Google scholar, PubMed, Science Direct, Scopus and Web of Science for a period of 6 months (1 October 2021 to 31 March 2022) for information published on HCE and E. granulosus infections in dogs from 1 January 1970 until 31 December 2021. Two different MeSH search strings were used in the present study: (i) “Cystic echinococcosis” OR “Hydatid cyst” OR “Metacestode of E. granulosus” AND “Humans” OR “Man” AND “Africa” and (ii) “Echinococcus granulosus” OR “E. granulosus” OR “Dog tapeworm” OR “Hydatid worm” OR “Hyper tapeworm” AND “Dogs” OR “Canids” OR “Carnivores” AND “Africa.” Additional studies were obtained through screening of citation lists and contact of authors and editors of journals for studies with inadequate information online.

Study selection, data extraction and reliability

We screened the title of each downloaded article, followed by its abstract for relevance. Thereafter, studies that were apparently relevant were subjected to full text review for extraction of data using the inclusion criteria. Criteria for inclusion of a study was that it: (i) investigated cystic echinococcosis in humans and E. granulosus infection in dogs, (ii) was published in English, (iii) disclosed the number of individuals studied and the number of cases, (iv) disclosed study location, (v) was carried out and published between 1 January 1970 and 31 December 2021, (vi) identified the cause of echinococcosis in humans and dogs as the larva and adult of E. granulosus respectively and (vii) disclosed the method of diagnosis employed.

To ensure the quality of our data and reduce the likelihood of errors, four authors (SNK, NBA, MZ and KM) participated in the screening of articles, their selection as well as quality assessment and extraction of data independently. However, in cases of discrepancies, the four authors cross checked data simultaneously with the help of two others (MIA and AAM) and discuss issues until consensus was reached. Data extracted from each relevant article included: (i) surname of author, (ii) the year of conduct and publication of a study, (iii) the number of individuals examined by each article and the number of cases, (iv) the location where the study was conducted and (v) finally the method of diagnosis employed.

Risk of bias within study

We examined within-study bias using the Joanna Briggs Institute (JBI) critical appraisal instrument for studies reporting prevalence data published by Munn et al. [17], which is available from https://pubmed.ncbi.nlm.nih.gov/26317388. The JBI checklist poses nine questions focusing on: (i) suitability of sample frame, (ii) suitability of the way study participants were sampled, (iii) sufficiency of sample size, (iv) exhaustiveness of the description of study subjects and settings, (v) sufficiency of data analysis of the identified sample, (vi) soundness of the methods employed for the detection of human cystic echinococcosis and canine E. granulosus infection, (vii) dependability of the measurement of the condition in all participants, (viii) relevance of the statistical analysis used and (ix) sufficiency of the response rate and its management. Based on these nine questions of the JBI checklist, we scored articles 0, 1 or NA for having no, yes or not applicable response to a question. With slight modifications adopted from Karshima et al. [18], we grouped articles with total score ranges of 0–3 as having high risk of bias, 4–6 as having moderate risk and 7–9 as having low risk.

Pooling and heterogeneity analysis

Data were entered through Microsoft Excel, cleaned and subjected to statistical and meta-analysis using StataMP version 14 and Comprehensive Meta-Analysis version 3.0. We determined the prevalence of each recruited article and its 95% confidence interval (CI) by employing the online exact binomial proportion and CI calculator available from http://statpages.info/confint.html. Estimated prevalence of HCE and EGI in dogs and their respective 95% CI were evaluated using the random-effects model of meta-analysis with the assumption that the true effect sizes may differ within recruited articles since they were carried out using different methodologies and under different environmental conditions [19]. Heterogeneity was determined using Cochran’s Q-test while the degree of variation across studies was quantified by the I-square statistics. According to the method of Higgins et al. [20], absence of heterogeneity, low, moderate and substantive heterogeneities were represented by I2 values of 0, 25, 50 and 75% respectively.

Publication bias and sensitivity analysis

Publication bias was assessed using funnel plot while its statistical significance was measured by Egger’s regression asymmetry test [21]. We used the non-parametric “fill and trim” linear random method described by Duval and Tweedie [22] to test for unbiased estimates. To test for sensitivity, we deleted one article at any given point before carrying out meta-analysis until analysis was done without each of the relevant articles. Any estimated prevalence (EP) value that was within the 95% CI of the overall EP, when number of articles equals N-1, affirms that the deleted study did not significantly influence the present analysis [23].

Sub-grouping and meta-regression

We performed sub-group analysis for sub-regions of Africa (Central, Eastern, Northern, Southern and Western), methods of diagnosis (others, serology and ultrasonography) for HCE and (ELISA, microscopy and PCR) for EGI, study periods (1970–1987, 1988–2004 and 2005–2021) for HCE and (1975–1990, 1991–2006 and 2007–2021) for EGI, sample sizes of relevant articles (≤ 500, 501–1000 and > 1000) for HCE and (≤ 200, 201–400 and > 400) for EGI, gender/sex (men and women) for HCE and (females and males) for EGI, age (adult and children) and dog type (owned and stray dogs).

We also performed meta-regression to identify possible sources of heterogeneity in the analysis for HCE and compared Western Africa with other sub-regions from Africa, ultrasonography with other diagnostic methods, 2005–2021 with other study periods, sample size > 1000 with other sample sizes, men with women and finally children with adults. For EGI in dogs, we also compared Western Africa with other sub-regions from Africa, PCR with other diagnostic methods, 2007–2021 with other study periods, sample size > 400 with other sample sizes, male dogs with females and stray dogs with owned dogs.

Results

Human cystic echinococcosis in Africa

The process for the selection of articles on HCE is presented in Fig. 1. A total of 587 articles on HCE in Africa were identified. Of these, 39 articles [12, 59–96] that certified the inclusion criteria were synthesized after the removal of 205 irrelevant, 82 duplicate, 64 review articles, 192 case reports and 5 others with inadequate prevalence data. The characteristics of the articles on HCE are presented in Table 1. The majority (53.9%) of the articles on HCE were from Northern Africa. Five articles diagnosed HCE using other methods (one autopsy, one surgery and three combinations of different methods), 16 used serology and the remaining 18 utilized ultrasonography. The 39 articles on HCE were spread across study period with 13, 10 and 16 of them respectively conducted during 1970 and 1987, 1988 and 2004 as well as 2005 and 2021. Furthermore, 13, 8 and 18 of the articles respectively reported sample sizes of ≤ 500, 501–1000 and > 1000 while 10 articles each reported HCE in adults and children. Finally, 5 articles scored 7–9 points based on the JBI critical appraisal checklist and were classified as articles with low risk of bias, while 34 of them scored 4–6 points and were classified as having moderate risk of bias.

Fig. 1

Flow diagram for the selection of eligible studies

Table 1

List and characteristics of studies on human cystic echinococcosis in Africa

Country	Study year	MOD	Sample size	Cases	Prev. (%)	95% CI	ROB	Study reference
C/Africa
Gabon	2014–16	US	348	0	0.00	0.00, 1.05	MR	Lotsch et al. [59]
E/Africa
Ethiopia	2008–12	US	25,840	27	0.10	0.07, 0.15	LR	Assefa et al. [60]
Ethiopia	1980	IHT	1342	68	3.49	2.60, 4.57	MR	Fuller and Fuller [61]
Ethiopia	2002–06	US	36,402	26	0.07	0.05, 0.10	MR	Kebede et al. [62]
Ethiopia	1989	US	990	7	6.41	5.16, 7.85	MR	Klungsoyr et al. [63]
Ethiopia, Kenya, South Sudan and Tanzania	1985–87	US	18,565	332	1.79	1.60, 1.99	MR	Macpherson et al. [64]
Kenya	1981/82	IHT	1190	85	7.14	5.74, 8.76		French and Ingera [65]
Kenya	1991	ELISA	538	88	16.36	13.33, 19.76	MR	Kenny and MacCabe [66]
Kenya	1986	USS/ELISA	3553	198	5.57	4.84, 6.38	MR	Macpherson et al. [67]
Kenya	1983–15	US	961	240	24.97	22.27, 27.84	MR	Solomon et al. [68]
Kenya	1985–12	US	10,920	418	3.83	3.48, 4.20	MR	Solomon et al. [69]
Mozambique	2011/11	MWB	601	104	17.30	14.36, 20.57	MR	Noormahomed et al. [70]
South Sudan	2012	USS	610	4	0.66	0.18, 1.67	MR	Stewart et al. [71]
Tanzania	2012	ELISA	345	39	11.30	8.16, 15.13	MR	Khan et al. [72]
Tanzania	1977–86	US	959	10	1.04	0.50, 1.91	MR	Macpherson et al. [73]
N/Africa
Egypt	1974	LAT	755	47	6.23	4.61, 8.19	MR	Botros et al. [74]
Egypt	1997–99	MRI, US & X-ray	492,353	133	0.03	0.02, 0.03	MR	Kandeel et al. [75]
Egypt	2006	IHT	21	3	14.29	3.05, 36.34	MR	Mazyat et al. [76]
Libya	1972–79	Surgical	22,979	111	0.48	0.40, 0.58	MR	Aboundaya [77]
Libya	1979–80	ELISA	217	20	9.22	5.72, 13.88		Gebreel et al. [78]
Libya	1989	IHT	384	8	0.36	0.13, 0.79	MR	Khan et al. [79]
Libya	2008–11	ELISA	300	27	9.00	6.01, 12.82	LR	Mohamed et al. [80]
Libya	1991	US	4103	57	1.39	1.05, 1.81	MR	Shambesh et al. [81]
Libya	1996	US	485	22	4.54	2.86, 6.79	MR	Shambesh et al. [82]
Libya	1998	US	20,220	339	1.68	1.50, 1.86	MR	Shambesh et al. [83]
Morocco	2014	US	5367	102	1.90	1.55, 2.30	LR	Chebil et al. [84]
Morocco	2000/01	US	11,612	126	1.09	0.90, 1.29	MR	Macpherson et al. [85]
Sudan	2017/18	ELISA	305	20	6.56	4.05, 9.95	LR	Ahmed et al. [86]
Sudan	2002	US	300	1	0.33	0.01, 1.84	LR	Elmahdi et al. [87]
Tunisia	1980–84	ELISA	355	8	2.25	0.98, 4.39	MR	Bchir et al. [88]
Tunisia	1990	US	1434	50	1.34	0.62, 2.53	MR	Bchir et al. [89]
Tunisia	1990–17	US	7808	26	0.33	0.22, 0.49	MR	Jomaa et al. [90]
Tunisia	2004–09	Autopsy	2155	26	2.08	0.90, 4.06	MR	Khelil et al. [91]
Tunisia	2018	ELISA	374	32	8.56	5.93, 11.86	MR	M’rad et al. [92]
Tunisia	1983	US	670	9	0.57	0.01, 3.13	MR	Mlika et al. [93]
Tunisia	1985	US/ELISA	1650	6	13.12	9.41, 17.63	MR	Mlika et al. [94]
S/Africa
South Africa	1995–10	IHT	236	26	11.02	7.32, 15.72	MR	Wahlers et al. [12]
W/Africa
Nigeria	1977	AGDT and IHT	189,861	1	0.00	0.00, 0.00	MR	Dada [95]
Nigeria	1986	CFT	176	1	1.21	0.79, 1.76	MR	Sixl et al. [96]

AGDT Agar gel diffusion test, CFT complement fixation test, CI confidence interval, C/Africa Central Africa, E/Africa eastern Africa, ELISA enzyme-linked immunosorbent assay, IHT indirect hemagglutination test, LAT latex agglutination test, LR low risk, MR moderate risk, MRI magnetic resonance imaging, MWB multiplex western blot, N/Africa northern Africa, ROB risk of bias, S/Africa southern Africa, US ultrasonography, W/Africa western Africa

Table 2 shows the estimated prevalence of HCE in Africa. The overall EP of HCE was 1.7% with a statistically significant (P < 0.001) sub-group range of 0.0% (95% CI 0.0, 14.1) to 11.0% (95% CI 7.6, 15.7). Highest EPs of HCE were observed in Eastern Africa (2.7%, 95% CI 1.4, 5.4), serology (5.8%, 95% CI 4.0, 8.4), the study period 2005–2021 (2.6%, 95% CI 1.2, 5.8), sample size ≤ 500 (5.4%, 95% CI 3.7, 7.9), women (3.4%, 95% CI 1.9, 6.0) and adults (6.0%, 95% CI 3.3, 10.5). Country-based prevalence of HCE ranged between 0.0 (95% CI 1.2, 1.5) in Nigeria and 9.2% (95% CI 5.7, 13.9) in Libya with the highest proportion of the articles (18.0%) reported from Libya and Tunisia (Fig. 2). Substantive heterogeneity of 99.4% was observed with a range of 0.0–99.9% even after sub-group analysis (Fig. 3).

Table 2

Sub-group analysis for estimated prevalence of human cystic echinococcosis in Africa

Variables	No. of studies	Estimated prevalence			(95% CI)	P-value	Heterogeneity			Meta-regression
		SS	Cases	Prev. (%)			Q-value	I2 (%)	Q-P	P-value	OR (95% CI)
Regions
C/Africa	1	348	0	0.14	0.01, 2.25	< 0.001	0.00	0.000	1.000	0.001	2.12 (− 2.62, 6.85)
E/Africa	14	102,816	1646	2.71	1.35, 5.37		2303.04	99.44	< 0.001		5.08 (2.46, 7.69)
N/Africa	21	573,847	1173	1.80	0.88, 3.63		2734.56	99.27	< 0.001		4.66 (2.09, 7.24)
S/Africa	1	236	26	11.02	7.61, 15.67		0.00	0.00	1.000		6.57 (2.71, 10.44)
W/Africa	2	190,037	2	0.02	0.00, 14.06		24.36	95.89	< 0.001		Reference
MOD
Others	5	522,690	474	0.51	0.05, 5.04	< 0.001	2274.46	99.82	< 0.001	0.002	− 0.78 (− 2.26, 0.69)
Serology	16	197,000	577	5.80	3.98, 8.39		265.29	94.35	< 0.001		1.46 (0.44, 2.48)
US	18	147,594	1796	1.13	0.62, 2.03		2241.26	99.24	< 0.001		Reference
Study period
1970–1987	13	242,272	896	1.55	0.84, 2.84	< 0.001	786.20	98.47	< 0.001	0.438	− 0.69 (− 1.92, 0.54)
1988–2004	10	532,419	831	1.30	0.36, 4.60		2621.83	99.66	< 0.001		− 0.71 (− 2.03, 0.60)
2005–2021	16	92,593	1120	2.64	1.18, 5.82		2145.82	99.30	< 0.001		Reference
Sample size
≤ 500	13	3846	207	5.44	3.73, 7.89	< 0.001	73.06	83.58	< 0.001	0.001	1.81 (0.78, 2.83)
501–1000	8	6084	509	4.13	1.92, 8.65		369.19	98.10	< 0.001		1.75 (0.58, 2.92)
> 1000	18	857,354	2131	0.71	0.36, 1.41		3968.06	99.57	< 0.001		Reference
Gender
Women	17	39,667	758	3.39	1.90, 5.97	< 0.001	896.15	98.22	< 0.001	0.523	0.29 (− 0.59, 1.16)
Men	17	33,266	428	2.54	1.34, 4.76		581.00	97.25	< 0.001		Reference
Age
Adult	10	10,351	411	5.98	3.33, 10.51	< 0.001	260.91	96.55	< 0.001	0.045	1.12 (0.03, 2.20)
Children	10	11,962	124	1.96	0.66, 5.68		256.39	96.49	< 0.001		Reference
Overall	39	921,794	3713	1.67	1.08, 2.58		6297.68	99.40	< 0.001

CI confidence interval, C/Africa Central Africa, ELISA enzyme linked immunosorbent assay, E/Africa eastern Africa, I2 inverse variance index, MOD method of diagnosis, N/Africa northern Africa, OR odds ratio, PCR polymerase chain reaction, Prev prevalence, Q-P Cochrane’s P-value, SS sample size, S/Africa southern Africa, US ultrasonography, W/Africa western Africa

Fig. 2

Country-based prevalence and distribution of articles on HCE

Fig. 3

Forest plot for the prevalence of human cystic echinococcosis in Africa

Funnel plot for articles published on HCE (Fig. 4a) and findings from Egger regression test indicated insignificant publication bias. As shown by the results of our sensitivity analysis, no single article influenced the results of the present analysis (Additional file 1: Dataset S1). Meta-regression analysis implicated study locations, methods of diagnosis, sample sizes of individual articles and age of participants (P < 0.05) as possible sources of the heterogeneity associated with the analysis on HCE (Table 2).

Fig. 4

Funnel plot for studies published on a HCE and b EGI in dogs

Echinococcus granulosus infection in dogs in Africa

Overall, 878 articles were identified, but following screening, a total of 538 irrelevant, 137 duplicates, 102 review articles, 47 wildlife-based articles as well as 8 articles with inadequate prevalence and 4 with inconsistent data were excluded (Fig. 1). Forty-two articles [53, 55–57, 59, 97–131] were finally synthesized. The characteristics of the 42 articles that reported EGI in dogs are presented in Table 3. A higher proportion (20/42) of the articles on EGI were from Northern Africa. Three, 12 and 27 of the articles diagnosed E. granulosus using ELISA, PCR and microscopy respectively. Additionally, 15, 9 and 18 of the studies were conducted between 1975 and 1990, 1991 and 2006 as well as 2007 and 2021 respectively. Furthermore, 25, 10 and 18 of the articles had sample sizes of ≤ 200, 201–400 and > 400 respectively. Finally, based on the JBI critical appraisal checklist, 38 of the articles were grouped as articles of moderate risk of bias (4–6 points) and the remaining 4 as those with low risk of bias (7–9 points) as shown in Table 3.

Table 3

List and characteristics of studies on Echinococcus granulosus infections in dogs in Africa

Country	Study year	MOD	Sample size	Cases	Prev. (%)	95% CI	ROB	Study reference
C/Africa
Gabon	2014–16	PCR	128	0	0.00	0.00, 2.84	MR	Lotsch et al. [59]
E/Africa
Ethiopia	2008	Microscopy	18	3	16.67	3.58, 41.42	MR	Kebede et al. [97]
Ethiopia	2010	Microscopy	44	15	34.09	20.49, 49.92	MR	Koskei et al. [98]
Ethiopia	1992	Microscopy	9	2	22.22	2.81, 60.01	MR	Mersie [99]
Kenya	2013–16	PCR–RFLP	1621	178	10.98	9.50, 12.61	MR	Mulinge et al. [57]
Kenya	2001/02	Copro-ELISA	203	56	27.59	21.56, 34.28	MR	Buishi et al. [100]
Kenya	1989	ELISA	143	50	34.97	27.19, 43.38	MR	Jenkins et al. [101]
Kenya	1979–83	Microscopy	695	274	39.42	35.77, 43.17	MR	Macpherson et al. [102]
Kenya	1992	Microscopy	156	16	10.26	5.98, 16.12	MR	Wachira et al. [103]
Uganda	2007/08	Microscopy	327	217	66.36	60.96, 71.47	LR	Inangolet et al. [104]
Uganda	2013	Copro-PCR	261	32	12.26	8.54, 16.87	LR	Oba et al. [105]
Zambia	2005/06	Multiplex-PCR	540	0	0.00	0.00, 0.68	MR	Nonaka et al. [106]
N/Africa
Algeria	2006/07	Microscopy	120	22	18.33	11.86, 26.43	MR	Kohil et al. [107]
Egypt	2006	Microscopy	50	8	16.00	7.17, 29.11	MR	Mazyad et al. [76]
Libya	1985–88	Microscopy	92	33	35.87	26.13, 46.54	MR	Awan et al. [108]
Libya	2006	Microscopy	50	29	58.00	43.21, 71.81	MR	Ben Musa and Sadok [109]
Libya	2001/02	Copro-PCR	409	93	22.74	18.76, 27.11	LR	Buishi et al. [110]
Libya	1986	Microscopy	151	42	27.81	20.84, 35.68	MR	Gusbi [111]
Libya	1980–82	Microscopy	27	3	11.11	2.35, 29.16	MR	Packer and Ali [112]
Morocco	2016	Copro-PCR	254	104	40.94	34.84, 47.27	MR	Amarir et al. [113]
Morocco	2010–11	Microscopy	79	224	35.27	29.02, 41.91	LR	Dakkak et al. [114]
Morocco	1985	Microscopy	57	13	22.81	12.74, 35.85	MR	Pandey et al. [115]
Morocco	1987	Microscopy	61	31	50.82	37.70, 63.86	MR	Pandey et al. [116]
Sudan	2004	Copro-PCR	84	41	48.81	37.74, 59.96	MR	Omer et al. [55]
Sudan	1985	Microscopy	49	25	51.02	36.24, 65.58	MR	Saad and Magzoub [117]
Tunisia	2014	PCR	1095	298	27.21	24.60, 29.96	MR	Chaabane-Banaoues et al. [53]
Tunisia	2018	PCR	288	32	11.11	7.73, 15.32	MR	M’rad et al. [92]
Tunisia	1986	Microscopy	50	11	22.00	11.53, 35.96	MR	Bchir et al. [118]
Tunisia	2015	Microscopy	140	33	23.57	16.82, 31.48	MR	Iraqi [119]
Tunisia	1998/99	Microscopy	198	42	21.21	15.74, 27.57	MR	Lahmar et al. [120]
Tunisia	2007	Microscopy	375	13	3.47	1.86, 5.86	MR	Lahmar et al. [121]
Tunisia	2007	Copro-PCR	60	6	10.00	3.76, 20.51	MR	Lahmar et al. [122]
S/Africa
South Africa	1978	Microscopy	1063	10	0.94	0.45, 1.72	MR	Verster [123]
W/Africa
Mali	2010/11	Multiplex-PCR	118	1	0.85	0.02, 4.63	MR	Mauti et al. [56]
Nigeria	2012/13	ELISA	273	34	12.45	8.78, 16.97	MR	Adediran et al. [124]
Nigeria	1983	Microscopy	60	51	85.00	73.43, 92.90	MR	Arene [125]
Nigeria	2018/19	Multiplex PCR	217	12	5.53	2.89, 9.46	LR	Awosanya et al. [126]
Nigeria	1978	Microscopy	180	1	0.56	0.01, 3.06	MR	Dada et al. [127]
Nigeria	1979	Microscopy	330	13	3.94	2.11, 6.44	MR	Dada [128]
Nigeria	2019	Microscopy	26,844	2486	9.26	8.92, 9.61	MR	Karshima et al. [129]
Nigeria	1985	Microscopy	182	8	4.40	1.92, 8.48		Okolo [130]
Nigeria	1984	Microscopy	254	2	0.79	1.10, 2.82	MR	Ugochukwu and Ejimadu [131]

CI confidence interval, C/Africa Central Africa, E/Africa eastern Africa, ELISA enzyme-linked immunosorbent assay, LR low risk, MR moderate risk, N/Africa northern Africa, PCR polymerase chain reaction, RFLP restriction fragment length polymorphism, ROB risk of bias, S/Africa southern Africa, W/Africa western Africa

EP of EGI in dogs is shown in Table 4. The overall EP was 16.9% (95% CI 12.7, 22.3) with a significant (P < 0.001) variation of 0.4 (95% CI 0.0, 5.9) to 35.8% (95% CI 25.4, 47.8) across sub-groups. Highest prevalences of EGI were observed in Northern Africa (25.6%, 95% CI 20.4, 31.6), ELISA detection method (23.6%, 95% CI 12.8, 39.4), study period 1991–2006 (23.4%, 95% CI 15.3, 34.0), the sample size ≤ 200 (23.5%, 95% CI 17.5, 30.8), female dogs (35.8%, 95% CI 25.4, 47.8) and stray dogs (29.7%, 95% CI 23.2, 37.0). EPs of canine EGI in relation to individual countries ranged between 2.9 (95% CI 1.9, 4.1) in Ethiopia to 49.6% (95% CI 41.2, 58.1) in Sudan, with the highest proportion of articles (19.1%) reported from Nigeria (Fig. 5). Overall, heterogeneity was 98.3% with a range of 0.0–99.4% (Table 4, Fig. 6).

Table 4

Sub-group analysis for estimated prevalence of Echinococcus granulosus infection in dogs in Africa

Variables	No. of studies	Estimated prevalence			(95% CI)	P-value	Heterogeneity			Meta-regression
		SS	Cases	Prev. (%)			Q-value	I2 (%)	Q-P	P-value	OR (95% CI)
Regions
C/Africa	1	128	0	0.39	0.02, 5.89	< 0.001	0.00	0.00	1.000	< 0.001	− 2.95 (− 6.31, 0.41)
E/Africa	11	4017	843	21.01	11.61, 35.01		519.54	98.08	< 0.001		1.25 (0.38, 2.12)
N/Africa	20	3834	958	25.62	20.44, 31.58		233.59	91.87	< 0.001		1.52 (0.73, 2.30)
S/Africa	1	1063	10	0.94	0.51, 1.74		0.00	0.00	1.000		− 2.06 (− 4.05, − 0.06)
W/Africa	9	28,458	2608	6.53	3.12, 13.15		172.88	95.37	< 0.001		Reference
MOD
ELISA	3	619	140	23.58	12.76, 39.42	< 0.001	29.55	93.23	< 0.001	0.298	0.91 (− 0.61, 2.42)
Microscopy	27	31,806	3482	18.44	11.86, 27.53		1785.75	98.54	< 0.001		0.61 (− 0.24, 1.46)
PCR	12	5075	797	13.18	8.36, 20.17		303.58	96.38	< 0.001		Reference
Study period
1975–1990	15	3394	567	16.61	9.24, 28.06	< 0.001	412.06	96.60	< 0.001	< 0.001	− 2.31 (− 3.55, − 1.08)
1991–2006	9	1699	287	23.35	15.26, 34.00		86.84	90.79	< 0.001		0.70 (0.08, 1.33)
2007–2021	18	32,407	3565	15.07	9.79, 22.49		1275.55	98.67	< 0.001		Reference
Sample size
≤ 200	25	2451	565	23.48	17.49, 30.76	< 0.001	257.59	90.68	< 0.001	0.137	0.41 (− 1.10, 1.92)
201–400	10	2782	515	11.72	5.17, 24.45		512.24	98.24	< 0.001		0.74 (0.01, 1.47)
> 400	17	32,267	3339	10.44	5.30, 19.53		932.95	99.36	< 0.001
Sex
Female	4	868	350	35.79	25.35, 47.77	0.224	40.53	90.13	< 0.001	0.855	0.07 (− 0.66, 0.79)
Male	4	910	341	33.92	23.23, 46.56		49.44	91.91	< 0.001		Reference
Dog type
Owned	15	3351	506	15.92	10.89, 22.71	< 0.001	229.88	93.91	< 0.001	0.006	− 0.77 (− 1.32, − 0.22)
Stray	21	1672	491	29.65	23.22, 37.01		150.59	86.72	< 0.001		Reference
Overall	42	37,500	4419	16.94	12.65, 22.32		2355.16	98.26	< 0.001

CI confidence interval, C/Africa Central Africa, ELISA enzyme-linked immunosorbent assay, E/Africa eastern Africa, I2 inverse variance index, MOD method of diagnosis, N/Africa northern Africa, OR odds ratio, PCR polymerase chain reaction, Prev prevalence, Q-P: Cochrane’s P-value, SS sample size, S/Africa southern Africa, W/Africa western Africa

Fig. 5

Country-based prevalence and distribution of articles on EGI

Fig. 6

Forest plot for the prevalence of Echinococcus granulosus infection in dogs in Africa

Funnel plot (Fig. 4b) and results of Egger regression test revealed insignificant publication bias across articles published on EGI in Africa. Sensitivity analysis revealed insignificant influence of individual studies on the present analysis (Additional file 2: Dataset S2). Meta-regression showed that study location (P < 0.001, df: 4, Q: 30.97), study period (P < 0.001, df: 2, Q: 27.17) and dog type (P: 0.006, df: 1, Q: 7.62) might be the possible sources of the heterogeneity in our analysis on EGI (Table 4).

Discussion

Human cystic echinococcosis

Human cystic echinococcosis is endemic in many African countries; however, the actual data on its current incidence, prevalence and burden are lacking. Though a number of surveillance reports are documented from different African countries, no harmonized report is available. This meta-analysis provided information on the prevalence and distribution of the disease across Africa to enable policy makers to take informed decisions towards cost-effective disease control.

The present study revealed an Africa-wide prevalence of 1.7%, which is lower than the ranges reported in Asia (2.2–6.0%) [24-27] and Latin America (4.7–7.1%) [28-30]. On the other hand, the present finding is higher than reports from European countries like Italy (0.2%) [31] and Slovakia (0.6%) [32]. These variations might be due to location-based differences in the numbers of free-roaming dogs and ownership of dogs, which are the definitive hosts that are capable of contaminating the environment. Slaughtering livestock at home, feeding raw viscera to dogs as well as environmental and climatic factors including temperature, rainfall and humidity that affect the environmental survival of eggs might also be responsible.

Our analysis revealed regional variation in the prevalence of HCE with the highest in Eastern Africa, and Northern Africa in second place. This finding affirms existing reports that the disease is highly endemic among the nomadic pastoralist of Eastern Africa [33-35]. In line with the present finding, regional variations in the prevalence of HCE were also reported in other continents such as Asia [27, 36, 37] and Latin America [28-30].

Three methods, serology, ultrasonography and “others” (autopsy, surgery and test combinations), were employed by the 39 studies for the detection of HCE. Of these methods, serology revealed the highest prevalence of the disease probably due to factors including the high sensitivity, specificity and diagnostic accuracy of these techniques, their ability to detect small-sized cyst that might be missed by ultrasonography [38] as well as the prolonged persistence of antibodies against hydatid cyst even after chemotherapy and/or surgical removal of the cysts [39]. In addition to the prevalence detected by the analyzed articles using ultrasonography, which is the gold test for the diagnosis of cystic echinococcosis in humans, it is able to identify the location, number and size of cysts [38].

Our analysis revealed a 1.0% (1.6–2.6%) increase in the prevalence of HCE during the 51 years (1970–2021) under review. Detail analysis showed an initial decline of 0.3% between 1988 and 2004, which was followed by an increase of 1.3% during 2005 and 2021. These fluctuations indicate possible inconsistencies in the control measures against the disease in Africa. The study also revealed decrease in the prevalence of HCE as sample sizes were increasing. This could indicate potential sampling biases in the articles with smaller samples, thus creating potential uncertainty in the estimated prevalence.

Prevalence of HCE in women was significantly higher than that observed among men. This may be attributable to hormonal imbalances associated with pregnancy and lactation in women which usually interfere with immunity. The finding of higher prevalence in women concurs reports from Argentina [29] and Iran [24]. Our finding however contradicts the reports of Andrabi et al. [25] from India and Acosta-Jamett et al. [40] from Chile who reported higher prevalence of HCE in men compared to women. The higher prevalence observed in adults (≥ 18 years) compared to children (≤ 17 years) is in line with the report of Uchiumi et al. [30] from Argentina and could be attributable to the chronic nature of the disease.

Echinococcus granulosus infection in dogs

The second part of this study investigated the current status of E. granulosus in dogs which are the definitive host of the pathogen. Forty-two studies that met the inclusion criteria were harmonized to determine the prevalence and distribution of E. granulosus, whose metacestode is associated with the zoonosis; HCE and serious economic losses in the meat industry.

The 16.9% Africa-wide prevalence of EGI observed in dogs falls within the ranges documented elsewhere. For instance, studies from Asia reported a range of 7.3 to 48.0% [41-44], those from Latin America reported a range of 9.3 to 42.3% [45-48], and in Australia, a range of 3.16 to 50.7% was also reported [49-51] affirming reports that E. granulosus is cosmopolitan in distribution. The infection in these dogs may pose the risk of environmental contamination which may in turn result in the infection of intermediate hosts like domestic ruminants thereby maintaining the disease.

Regional variations in the prevalence of E. granulosus were observed across Africa with the highest in Northern Africa and Eastern Africa in second place, thus showing an almost similar disease pattern with HCE. These variations may be attributable to factors including differences in the level of incursion of wild dogs into peri-urban environments [52], densities of intermediate hosts as well as both the climatic and environmental influences on egg development and survival [53]. Other factors may include regional variations in the number of straying dogs, accessibility of dogs to organs of livestock infected with E. granulosus cysts and illegal or uninspected home slaughter [10].

Serology, particularly ELISA, revealed the highest prevalence of E. granulosus probably due to the high sensitivity and specificity of this method as well as its inability to distinguish between active and convalescent infections [54]. Interestingly, serology also revealed highest prevalence in HCE. Of the three techniques (ELISA, microscopy and PCR) employed in the detection of E. granulosus, PCR revealed the least prevalence of 14.5%. However, in addition to the prevalence reported by these PCR techniques they were able to identify genotypes such as E. granulosus (s.s.) (G1–G3) in Sudan, E. canadensis (G6–G9) in Sudan [55] and Mali [56], E. ortleppi (G5) and E. felidis (lion strain) in Kenya [57].

We observed a significant decrease in the prevalence of E. granulosus with an overall decline of 0.7% between 1975 and 2021. However, sub-group analysis by year of study revealed an initial increase of 6.7% between 1991 and 2006, which was followed by 7.4% decline during 2007–2021. This is suggestive of possible challenges with existing control programs against the pathogen in Africa. Similar to the finding in HCE, prevalence of E. granulosus significantly decreased with increasing sample size.

Hormonal imbalances associated with pregnancy and lactation, which usually compromise immunity in females, may be responsible for the higher prevalence of E. granulosus observed in females compared to male dogs. This finding concurs with the report of Liu et al. [58] from China. It however contradicts other reports from Iran [41, 43], Chile [47] and Australia [51]. Our study also revealed a significantly higher prevalence of E. granulosus in stray than owned dogs. A number of factors including easy access of stray dogs to offal of slaughtered ruminants in abattoirs and possible capture and consumption of wild ruminants during hunting may be responsible for the higher prevalence among this group.

Meta-analysis

The heterogeneity between studies on HCE was attributed to study locations, diagnostic methods and sample sizes of the analyzed studies as well as the ages of the participants. However, that between studies on E. granulosus was due to study location, study periods and dog type. The present study revealed insignificant publication bias for both studies on HCE and E. granulosus by funnel plot and Egger regression test. Sensitivity test also showed insignificant single study influence on our analysis affirming the credibility and reliability of the present study.

Study limitations

The study had limitations such as uneven distribution of studies on both HCE and E. granulosus across the continent and sub-regions. Over 41% of the studies analyzed for HCE used serology, which is incapable of differentiating active from convalescent infections. Majority of the studies on E. granulosus used microscopy and were unable to identify the genotypes involved in infections. In addition, only studies published in English were included in the present analysis resulting in language bias.

Conclusion

In this study, we provided information on the prevalence and distribution of HCE and EGI in dogs in Africa. Prevalence of HCE was generally low with the highest sub-regional prevalence in Eastern Africa. Prevalence of EGI in dogs was moderately high with the highest in Northern Africa. Gender and age influenced the prevalence of HCE. Straying of dogs also influenced dog infection with E. granulosus. We recommend a holistic control approach that targets humans, livestock, dogs and the environment, which all play roles in disease epidemiology. This approach should involve strategic use of anthelminthics in animals, standardized veterinary meat inspection in abattoirs, control of stray dogs to reduce environmental contamination and proper environmental sanitation. Mass screening of humans in highly endemic regions will also encourage early detection and treatment.

Additional file 1: Dataset S1. Sensitivity analysis for the estimated prevalence of HCE.

Additional file 2: Dataset S2. Sensitivity analysis for the estimated prevalence of EGI in dogs.