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Erschienen in: BMC Infectious Diseases 1/2014

Open Access 01.12.2014 | Research article

A systematic review of the epidemiology of hepatitis E virus in Africa

verfasst von: Jong-Hoon Kim, Kenrad E Nelson, Ursula Panzner, Yogita Kasture, Alain B Labrique, Thomas F Wierzba

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2014

Abstract

Background

Hepatitis E Virus (HEV) infection is a newly recognized serious threat to global public health and Africa is suspected to be among the most severely affected regions in the world. Understanding HEV epidemiology in Africa will expedite the implementation of evidence-based control policies aimed at preventing the spread of HEV including policies for the use of available resources such as HEV vaccines.

Methods

Here we present a comprehensive review of HEV epidemiology in Africa based on published data. We searched for articles on HEV epidemiology in Africa from online databases such as PubMed, Scopus, and ISI Web of Science and critically reviewed appropriate publications to extract consistent findings, identify knowledge gaps, and suggest future studies.

Results

Taking a particularly high toll in pregnant women and their fetuses, HEV has infected human populations in 28 of 56 African countries. Since 1979, 17 HEV outbreaks have been reported about once every other year from Africa causing a reported 35,300 cases with 650 deaths.

Conclusions

In Africa, HEV infection is not new, is widespread, and the number of reported outbreaks are likely a significant underestimate. The authors suggest that this is a continent-wide public health problem that deserves the attention of local, regional and international agencies to implement control policies that can save numerous lives, especially those of pregnant women and their fetuses.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1471-2334-14-308) contains supplementary material, which is available to authorized users.
An erratum to this article can be found online at http://​dx.​doi.​org/​10.​1186/​s12879-017-2274-3.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

TFW outlined the manuscript, oversaw the development, and with J-HK wrote the manuscript. J-HK, UP, and YK searched and J-HK reviewed the literature. All authors reviewed the results, edited the manuscript, and approved the final manuscript.
Abkürzungen
HEV
Hepatitis E virus
CFR
Case fatality rate
NANB
Non A, non B
HBV
Hepatitis B virus
CAR
Central African Republic
DRC
Democratic Republic of the Congo
ORF
Open reading frame
NT
Nucleotides
NA
Not available.

Background

Hepatitis E virus (HEV) causes large outbreaks and sporadic cases of acute hepatitis, and an estimated one-third of the world’s population has been infected with HEV [1]. It is the most or second most common cause of acute viral hepatitis among adults throughout much of Asia, the Middle East, and Africa [24] although the true burden of HEV infection remains unknown [1]. HEV infection is usually self-limiting, but may develop into fulminant hepatitis with a case-fatality rate (CFR) between 1 and 2% in the general population [5], which can rise to over 40% in pregnant women, especially during the third trimester of pregnancy [6].
HEV was first identified in 1983 during the search for the causative agent of an outbreak of enterically transmitted non-A, non-B (NANB) hepatitis [7]. Its full-length genome was first cloned in 1991 [8]. It is a spherical, non-enveloped, single-stranded RNA virus belonging to the Hepeviridae family and the Hepevirus genus [9]. The existing evidence suggests all human HEV strains belong to a single serotype [10] although there are at least four genotypes (1–4) [11, 12] with 24 subtypes [3, 12, 13]. Genotypes 1 and 2 are predominantly found in populations in developing countries whereas genotypes 3 and 4 are zoonotic and globally distributed [3]. Two recombinant HEV vaccine candidates have been clinically evaluated [1416]. One vaccine candidate, rHEV, showed 95.5% efficacy after three doses in phase II trial in Nepalese military population while the other vaccine, HEV 239, showed 100% efficacy after three doses in phase III trial in a Chinese population. HEV 239 is licensed by China’s Ministry of Science and Technology [17], and is being produced and marketed by Xiamen Innovax Limited [18].
The first retrospectively (serologically) confirmed HEV outbreak occurred in New Delhi, India in 1955–56 with more than 29,000 symptomatic jaundiced persons [1921]. Since then, many serologically confirmed outbreaks and sporadic cases [3, 22] and probable outbreaks have occurred, especially in Asia and Africa [23]. Africa has usually been the place where resources for controlling infectious diseases are last deployed although it is among the regions most severely inflicted by infectious diseases [24]. Acknowledging that understanding HEV infection and distribution in Africa can expedite implementation of evidence-based control policies, our overall objective was to characterize the epidemiology of HEV in Africa by reviewing and summarizing relevant, peer-reviewed literature. The authors’ specific objectives were to explore rates of infection (i.e., seroprevalence, outbreaks, sporadic cases), severity (i.e., case-fatality rates), modes of transmission, and circulating genotypes. The authors also identified knowledge gaps in the existing literature and suggested future studies.

Methods

Searching

We searched PubMed, Scopus, and ISI Web of Science (up to March 24, 2014) using the following search terms: (“Hepatitis E” OR “Non A Non B”) AND (Country_name_1 OR Country_name_2 OR …), where ellipsis represents names of all African countries (with OR between them) as extracted from a UN list [25]. The search term includes “Non A Non B” because HEV was identified as the causative agent of the enterically transmitted NANB hepatitis [7] and thus should be responsible for at least some of NANB outbreaks. In addition, we reviewed relevant references from the articles we obtained. Articles published in English and French were included.

Selection and methods

Figure 1 is a flow chart that describes the procedure of literature selection. We identified 219, 288, and 159 articles from PubMed, Scopus, and ISI Web of Science, respectively, and also reviewed articles obtained by screening references. The number of articles was 426 after removing duplicates. Of 426 articles, we synthesized 160 original research articles that provide relevant information while excluding the other 266 articles for the following reasons:
1.
Non-African populations (n = 28)
 
2.
Topics other than HEV epidemiology, e.g., molecular biology (n = 168)
 
3.
Insufficient information, e.g., case report (n = 34)
 
4.
Review articles (n = 25)
 
5.
Suboptimal methodology (n = 11)
 
Of 160 articles, we summarized 138 articles about serologically confirmed HEV in the main text and separately summarized NANB outbreaks in the Additional file 1 (n = 22).
HEV seroprevalence analysis included articles describing serology studies for total antibodies (i.e., both IgG and IgM) or IgG to HEV by enzyme-linked immunosorbent assay, using commercial kits or in-house methods. In outbreaks, incident cases of HEV are defined by the existence of IgM antibodies to HEV or paired serum samples with a significant increase in IgG to HEV or the existence of HEV RNA measured by reverse transcriptase polymerase chain reaction. CFR was defined as the number of deaths divided by the number of laboratory confirmed cases or cases epidemiologically linked to HEV infections times 100.

Data source

Sources of data on the epidemiology of HEV come from (i) seroprevalence studies in the general population (e.g., blood donors or healthy population) or suspected high-risk population (e.g., pig handlers or waste water treatment plant workers or pregnant women), (ii) studies of sporadic acute hepatitis patients, and (iii) investigations of hepatitis outbreaks. We also discuss studies of sporadic cases and outbreaks of NANB hepatitis viruses in the Discussion Section with tables of data in the Additional file 1. The present paper includes studies from 28 (50%) of 56 African countries: Algeria [2628], Burkina Faso [29], Burundi [30, 31], Cameroon [32], Central African Republic [33, 34], Chad [27, 28, 3538], Côte d’Ivoire [39], Democratic Republic of the Congo [40], Djibouti [41, 42], Ethiopia [6, 43], Eritrea [44], Egypt [4571], Gabon [72, 73], Ghana [32, 7478], Kenya [79, 80], Madagascar [81], Mayotte [82], Morocco [8385], Namibia [8688], Nigeria [8991], Senegal [92, 93], Somalia [9496], South Africa [97, 98], South Sudan [99], Sudan [35, 100105], Tunisia [106111], the United Republic of Tanzania [112114], and Zambia [115].

Results

Seroprevalence of anti-HEV antibodies

Data on seroprevalence of anti-HEV antibodies comes from 35 studies in 13 African countries. Table 1 presents a summary sorted by country name and seroprevalence. Seroprevalence varies by country from 84.3% [55] among pregnant Egyptian women aged 24 years on average to 0% among village residents aged 24 years on average in Gabon [72]. The seroprevalence seems to be higher in pregnant women than in the general population in Ghana (28.7% [78] vs. 4.6% [76]) and also in Gabon (14.2% [73] vs. 0% [72]). Two studies of Ghanaians suggest that predominant HEV genotypes in that country may be of zoonotic origin: seroprevalence among pig handlers is over 34% [75, 77] whereas that among general population is about 4% [76]. Seroprevalence also differs between rural and urban areas. In Gabon, one study found a higher prevalence of HEV of about 2.0 times in urban (13.5%) compared with rural areas (6.4%) [73]. On the other hand, in South Africa, HEV seroprevalence is higher in rural compared with urban residents (15.3% vs. 6.6%) [98]. The difference in seroprevalence between rural and urban residents is also observed in Egypt with seroprevalence being higher in rural areas [53].
Table 1
Seroprevalence of anti-HEV antibodies in Africa
Country
% sero-prevalence
Sample demographics
Sample size
Year of sampling
Diagnostic methods
Source
Burkina Faso
19.1
Blood donors
178
2010-12
IgG
[29]
11.6
Pregnant women
189
2010-12
IgG
[29]
Burundi
14.0
Adults without chronic liver disease, 44.7 yrs old (±13.5)
129
1986
Total Ig
[30]
Cameroon
14.2
HIV-infected adults, 38.1 yrs old (±11.3)
289
2009-10
IgG
[32]
2.0
HIV-infected children, 8.3 yrs old (±7.5)
100
2009-10
IgG
[32]
CARa
24.2
Patients attending the center for sexually transmitted diseases
157
1995b
Total Ig
[33]
Djibouti
13.0
Male peacekeepers in Haiti, 31.2 yrs old
112
1998b
Total Ig
[42]
Egypt
84.3
Pregnant women, 24 yrs old (16–48)
2,428
1997-2003
Total Ig
[55]
 
80.1
Patients with chronic liver disease, 48 yrs old (23–62)
518
2000-2
IgG
[57]
 
67.6
Residents of two rural villages, 24.5 and 26.5 yrs, respectively
10,156
1997
Total Ig
[54]
 
58.6
Pregnant women, ~33 yrs old
116
2009
IgG
[58]
 
56.4
Residents of a semi-urban village, 1–67 yrs old
140
1993
Total Ig
[51]
 
51.2
Waste water treatment plant workers, 47.1 yrs old
43
2011b
Total Ig
[60]
 
50.6
Waste water treatment plant workers, 20–60 yrs old
233
2000b
Total Ig
[61]
 
45.3
Blood donors, 18–45 yrs old
95
1998b
IgG
[52]
 
54.1
Four waste water treatment plant male workers, 20–60 yrs old
205
1998-9
IgG
[116]
 
39.6
Haemodialysis patients, 8–20 yrs old
96
1998b
IgG
[52]
 
38.9
Healthy females, 21.8 yrs old (16–25)
95
1995
IgG
[50]
 
17.2
Residents of a hamlet, 20.9 yrs old (<1-95)
1259
1992
IgG
[49]
 
0.0
Healthy controls, 20–60 yrs old
96
1998-9
IgG
[116]
Gabon
14.2
Pregnant women, 24.6 yrs old (14–44)
840
2005, 2007
IgG
[73]
 
0.0
Villagers, 29 yrs old (2–80)
35
1991-2
Total Ig
[72]
Ghana
45.3
Adult HIV patients (n = 402), 40 yrs old (±9.6)
402
2008-10
IgG
[32]
 
38.1
Pig handlers, 36.5 yrs old (12–65)
105
2009b
Total Ig
[77]
 
34.8
Pig handlers, 32.9 yrs old (15–70)
353
2008
Total Ig
[75]
 
28.7
Pregnant women, 28.9 yrs old (13–42)
157
2008
Total Ig
[78]
 
4.6
Blood donors
239
2012b
IgG
[76]
 
4.4
6-18 yr olds
803
1993
Total Ig
[74]
Madagascar
14.1
Slaughterhouse workers
427
2008-9
Total Ig
[81]
Morocco
8.5
Blood donors
200
2000-1
IgG
[85]
 
2.2
232 men and 259 women, 27.7 yrs old (±5.9)
491
1995b
IgG
[84]
Nigeria
43.0
Health care workers
88
2008-9
Total Ig
[90]
 
94.0
Control healthy adults
44
2008-9
Total Ig
[90]
 
13.4
Healthy and sick people, 29.8 yrs old (3–72)
186
2007
Total Ig
[91]
South Africa
10.7
Urban (n = 407) and rural (n = 360) blacks, 42.4 yrs old (18–85)
767
1996b
Total Ig
[98, 117]
 
2.6
Medical students
227
1992
Total Ig
[97]
 
1.8
Canoeists who have been regularly exposed to waste water
555
1992
Total Ig
[97]
Tanzania
6.6
Women, 32.1 yrs old (15–45)
212
1996
Total Ig
[114]
 
0.2
Healthy adults, 30.3 yrs old
403
1992
Total Ig
[112]
 
0.0
Women, 24.5 yrs old
180
1995
Total Ig
[113]
Tunisia
46.0
Healthy persons, > 60 yrs old
100
1991
IgG
[106]
 
29.5
Children with chronic haematological diseases
34
1996
IgG
[106]
 
28.9
Polytransfused patients; adults (n = 59, 34.8 yrs old (20–61)) and children (n = 48, 7.3 yrs old (1–15))
107
2008-9
IgG
[107]
 
22.0
Healthy blood donors, < 40 yrs old
100
1996
IgG
[106]
 
12.1
Pregnant women, 30.1 yrs old (17–52)
404
2008-9
IgG
[108]
 
10.0
Healthy controls; blood donors (n = 100, 31.3 yrs old (20–58)) and children, (n = 60, 7.9 yrs old (1–15))
160
2008-9
IgG
[107]
 
5.4
Blood donors, 32.6 yrs old (±8.6)
687
2007-8
Total Ig
[109]
 
4.3
Healthy persons, 20.7 yrs old (16–25)
1,505
2008b
IgG
[110]
Zambia
42
Urban adults, 18–64 yrs old
106
1999
IgG
[115]
 
16
Urban children, 1–15 yrs old
194
2011
IgG
[115]
aCAR; Central African Republic.
bThe year of the publication.
Seroprevalence varies by country and by subpopulation and studies were done under different conditions (e.g., sample size, demographics, and different diagnostic methods). Age of the sample is provided as mean (range or ± standard deviation, if available).

Sporadic hepatitis cases attributed to HEV

Data on acute hepatitis E come from studies of sporadic acute hepatitis cases and are available from 29 studies in 13 African countries. Table 2 shows a summary sorted by country followed by decreasing proportion of sporadic hepatitis cases that are attributable to HEV infection. Table 2 also provides characteristics of sporadic hepatitis cases studied and types of antibodies tested (i.e., IgG or IgM). The proportion of cases that are attributable to HEV ranges from 70% in male patients aged 25–33 years in Nigeria [89] to 2% in patients aged < 15 years in Egypt [48]. It is interesting to note that existing studies show that the proportions of cases that are attributable to HEV are lower than 27% in Egypt despite their high HEV seroprevalence: the majority of acute hepatitis patients were attributable to HAV [45, 48, 64, 70] or HBV [71]. For example, one study of acute hepatitis among Egyptian children with a mean age of 5.4 years reported that HAV was responsible for 35 out of 36 acute hepatitis cases whereas HEV was detected in only one case [48].
Table 2
Sporadic cases caused by hepatitis E virus in Africa
Country
% sero-positivity
Case demographics
No. of cases
Year of sampling
Diagnostic methods
Source
Chad
48.8
Acute or fulminant hepatitis patients, 4–64 yrs old
41
1993
IgM
[36]
 
20.0a
Sporadic cases
17
1994
RT-PCRb
[27]
Djibouti
58.5
Acute hepatitis patients, 21 · 8 yrs old (2–65)
65
1992-3
IgM
[41]
Egypt
21.7
Acute hepatitis patients, 26 · 6 yrs old (18–60)
143
1993-4
IgM
[71]
 
24.2
Jaundiced patients, 1–73 yrs old
202
1993
IgM
[46]
 
22.2
Jaundiced children, 5 yrs old (1–11)
261
1990
IgM
[70]
 
20.2
Acute viral hepatitis patients, 8 yrs old
287
2006-8
IgM
[62]
 
17.9
Acute hepatitis patients, 15.7 (± 14.9) yrs old
235
2007-8
IgM or > =3-fold rise in IgG
[69]
 
17.2
Children with elevated level (two-fold or more) of AST and ALT
64
2006d
IgM
[47]
 
15.7
Acute hepatitis patients, 15.9 yrs old (1–65)
235
2007-8
IgM
[63]
 
15.1
Children with acute jaundice, 6 · 4 yrs old (1–13)
73
1987-8
IgM
[45]
 
12.5
Patients with acute hepatitis, 20 · 2 yrs old (4–65)
200
2001-2
IgM
[64]
 
6.0
Children with minor hepatic ailments, 6 mo -10 yrs
100
2004-5
IgM
[65]
 
5 · 0
Patients with acute on chronic liver failure, 46.4 yrs old
100
2009-10
IgM
[66]
 
2.1
Acute viral hepatitis patients, 25 yrs old (2–77)
47
2002-5
IgM
[67]
 
2.0
Hepatitis patients, 5.4 yrs old (1.5-15)
50
2007
RT-PCR
[48]
Ethiopia
45.6
Acute viral hepatitis patients with NANB
79
1988-91
FABAd
[43]
 
31.8
Non-pregnant women with acute viral hepatitis, 30 yrs old
22
1988-91
FABA
[6]
 
67 · 9
Pregnant women with acute viral hepatitis, 26 yrs old
28
1988-91
FABA
[6]
Mayotte
100.0
Patients with acute jaundice, 46 yrs old
1
2009
IgM
[82]
Nigeria
70.0
Male patients with acute hepatitis, 25–33 yrs old
10
1997-8
RT-PCR
[89]
Senegal
20.0
Patients with jaundice
30
1992c
IgM
[93]
 
10.2
Patients with viral hepatitis
49
1993c
IgM
[92]
Somalia
61.1
Native Somalis and displaced Ethiopian patients with acute hepatitis, 7–90 yrs old
36
1992-3
IgM
[96]
Sudan
5.4
Patients with fulminant hepatic failure, 38 yrs old (19–75)
37
2003-4
IgM
[103]
 
59.0
Children with acute clinical jaundice, ≤14 yrs old
39
1987-8
IgM
[118]
a20% was extrapolated from the results of RT-PCR results of 5 samples out of total 17 cases.
bReverse transcription polymerase chain reaction.
cThe year of the publication.
dFABA; fluorescent antibody blocking assay, which is claimed to detect acute infection, not but past infection.
Proportion of sporadic hepatitis cases attributable to HEV varies by country and by subpopulation and studies were done under different conditions (e.g., sample size, demographics, and different diagnostic methods). Age of the sample is provided as mean (range or ± standard deviation, if available).

Outbreaks and attack rate

The first well-characterized outbreak of laboratory-confirmed Hepatitis E occurred in Côte d’Ivoire in 1986 [39]. However, assuming that hepatitis outbreaks characterized by acute jaundice and a high CFR among pregnant women were likely due to HEV, Teo identified earlier, probable HEV outbreaks in Tunisia from 1950 to 1953, Algeria from 1952 to 1956, Congo in 1958, Morocco from 1958 to 60, and Libya from 1968 to 1970 and also in 1975 [23].
HEV outbreaks have been detected in 11 African countries (17 studies), of which some outbreaks in refugee camps [79, 86, 100] and Table 3 presents a summary of these outbreaks sorted by country name and decreasing clinical attack rate. The highest attack rate (25.1%) of the population was observed during outbreaks in two subcounties of Kitgum District, Uganda from October 2007 to June 2009 [119, 120]. Attack rate could have been even higher because the epidemic had not ended at the time of the investigation and in particular, it had not even peaked but was increasing in one of two subcounties. The lowest attack rate (2.7%) was observed during an outbreak in the Central African Republic on July 2002 [34].
Table 3
Hepatitis E outbreaks in Africa
Country
Year
No. cases (deaths)
Clinical attack rate (population size)
Variance in clinical attack rates
Source
By age
By gender
 
Algeria
1979-80
20
NAa
NA
NA
[27]
CARb
Jul - Oct 2002
715
2.7%
No significant difference
No significant difference
[34]
 
Jun 2004 - Sep 2005
411
NA
The age group 18–34 years was more frequently anti-HEV IgM positive (91.2%) than those aged 1–17 (78.0%) or over 34 (64.9%) (p < 0.001)
Risk for infection was clearly higher in males than females based on IgG seroprevalence (OR = 2.04; 95% CI 1.21-3.45; p < 0.005)
[121]
Chad
1983-4
34
NA
NA
NA
[27]
 
Jun - Aug 2004
989 (30)
NA
NA
NA
[37, 38]
Djibouti
Dec1992-Sep1993
43
NA
NA
NA
[41]
Eritrea
Oct 1988-Mar 1989
> 750
NA
81% of the patients were between 18 and 30 years of age among aged from 15 to 56.
The outbreak among military personnel; no female patients
[44]
Kenyad
Mar - Oct 1991
1,765 (63)
6.3% (n = 26,920)
Increased with age with a peak among those >30, while serologic attack rate is not different by age group
Clinical attack rate is 6.1% for male and 6.3% for female
[79]
 
Jul - Nov 2012
349 (10)
NA
NA
184 (54.3%) were females.
[80]
Morocco
1994
> 75
NA
NA
NA
[83]
Namibiad
Jul - Oct 1983
201
NA
Most common in persons aged 25–29 years old among patients aged 5–54 years old
72% of 64 patients were male.
[86]
Somalia
1988 – 9, 23 months
11,759 (346)
4.7% (n = 245,312)
Increased with age groups: 5%, 13%, and 20% for those aged 0–4, 5–15, and >15 years old, respectively
Female-to-male ratio was 1.08:1
[94, 95]
South Sudan
Jul 2012-Jan 2013
5,080
7.4%
Persons aged 18–59 years had the highest attack rates
NA
[99]
Sudan
Oct 1988
≥55
NA
NA
NA
[122]
 
Jul - Dec 2004
2,621 (45)
3.3%c,d (n = 78,800)
Being 15–45 years old was a risk factor for clinical HEV infection with odds ratio being 2.13 (95% CI, 1.02-4.46).
No significant difference
[100]
 
Nov 2010-Mar 2011
39 e (11e)
NA
NA
Only pregnant women were reported.
[104]
Uganda
Oct 2007 -Jun 2009
>10,356 (160)
25.1% (n = 19,098)
< 2 year olds (6.9%) vs. pregnant women (87%)
22% males vs. 28% females (p < 0.001)
[119, 120, 123]
aNA; not available.
bCAR; Central African Republic.
cActive case finding suggested a clinical attack rate of 16%.
dOutbreak in refugee camps.
eFor pregnant women.
Published reports suggest clinical HEV infection risk is highest among young adults in African populations [44, 79, 86, 94, 100, 119, 120] although one study reports no significant difference in the risk of clinical HEV infection by age [34]. Studies show mixed results regarding whether sex predisposes people to clinical HEV infection (i.e., higher risk for males [86] or higher risk for females [119, 120] or no significant difference [34, 79, 94, 100, 123].

Case fatality rate (CFR)

The CFR from outbreak investigations or sporadic cases were reported by 8 African countries (10 studies). Table 4 presents a summary sorted by CFR and pregnancy. CFR’s in the overall population range from 17.8% in Darfur, Sudan in 2004 [101] to 1.5% in Uganda during March to December, 2008 [123]. Among pregnant women, fatalities are considerably higher ranging from 42.1% among sporadic cases sampled during 1988-91in Ethiopia [6] to 12.5% during an outbreak in Dadaab refugee camp of Kenya in 2012 [80]. Compared with the overall population, fatalities are also higher in children under 2 years of age. One study in Uganda using active case detection and verbal autopsies found that icteric children less than two years of age experienced 13% mortality, which was higher than the 6.9% experienced among pregnant woman [120]. One author claims that the inoculum size may be important in determining CFR: CFR was 8.6% among villagers supplied by wells whereas it was 2.5% and 0.8% in those relying on river and pond water, respectively [94].
Table 4
Case-fatality rates (CFRs) of HEV infection
Country
Year
Case-fatality rate (n = no. of cases)
Source
Pregnant female
Overall
CARa
2002
20% (n = 5)
1.8% (n = 222)
[34]
Chad
2004
NAb
3.0% (n = 989)
[37]
Eritrea
1988-89
NA
0% (n = 423)
[44]
Ethiopia
1988-91
42.1% (n = 19)
NA
[6]
Kenya
2012
12.5% (n = 72)
2.9% (n = 339)
[80]
Somalia
1988-9
13.8% (n = NA)
3.0% (n = 11,413)
[94]
South Sudan
2012-3
10.4% (n = 211)
NA
[99]
Sudan
2004
31.1% (n = 61)
17.8% (n = 253)
[101]
 
2004
31.1% (n = 61)
1.7% (n = 2,621)
[100]
 
2004
NA
1.7% (n = 2,472)
[37]
Uganda
2008
NA
1.5% (n = 9,648)
[123]
aCAR; Central African Republic.
bNA; not available.

Genotype prevalence

Data on the genotypes of circulating HEV’s are available for 9 countries (16 studies). Table 5 presents a summary sorted by genotype and also provides characteristics of the sample, genomic regions tested. Genotype 1 seems to be most prevalent as it was found in Central African Republic [34], Sudan [35], Chad [28, 35], Egypt [46, 62, 124], and Namibia [88] followed by genotype 2, which were observed in Central African Republic [34], Chad [35], Namibia [87], and Nigeria [6, 89]. Genotype 3 is rare and was found in one Egyptian child [48], one acute hepatitis patient in Mayotte (originally from France) [82]. Genotype prevalence can differ in neighboring countries as was demonstrated by one study in Sudan and Chad where genotype 1 was more common in Sudan and genotype 2 was more common in Chad [35], Figure 2 shows a map of Africa where countries in which HEV infections were observed are differently colored according to HEV genotype.
Table 5
Genotype distribution from African HEVs
Genotype
Country
Year of sampling
Sample
RNA region tested
Source
1
CARa
2002
One fecal sample from an outbreak
NAb
[34]
Chad
1984
A patient with hepatitis E
Complete genome
[28]
 
2004
Five isolates from an outbreak
ORFc2 (363 ntd)
[35]
Egypt
1993
Acute hepatitis patients
ORF1 (location: 55–320)
[46]
 
2006-8
Acute hepatitis patients
ORF1
[62]
 
2012e
Sixteen isolates from acute hepatitis patients
ORF2 (189 nt)
[124]
Namibia
1983
Nine isolates from an outbreak in Kavango
ORF2 (296 nt), 3 (188 nt)
[88]
Sudan
2004
Twenty three isolates from an outbreak
ORF2 (363 nt)
[35]
Uganda
2007
Internally displaced persons camp
NA
[123]
 
2008
Twenty four isolates from an outbreak
NA
[119]
2
CAR
2002
Three fecal samples from an outbreak
NA
[34]
Chad
2004
Four isolates from an outbreak
ORF2 (363 nt)
[35]
Namibia
1995
Four isolates from NANB outbreak in Rundu
ORF2 (451 nt near 3’-end)
[87]
Nigeria
2000e
Ten adult acute hepatitis patients
ORF1, 2 (3’-end)
[89]
3
Egypt
2007
One 9 year-old acute hepatitis patient
ORF1, 2, 2/3
[48]
Mayotte
2009
One French acute hepatitis patient (46 yr old)
ORF2 (288 nt)
[82]
Madagascar
2008-9
Slaughter house workers
ORF2,3 (1000 nt)
[81]
aCAR; Central African Republic.
bNA; not available.
cORF; open reading frame.
dnt; nucleotides.
ePublication year.

Mode of transmission

Studies stress the importance of fecal contamination of water as a main source of infection in outbreaks across African countries [34, 44, 86, 94, 100, 101, 123]. However, in a laboratory-confirmed HEV outbreak of 3,218 cases in northern Uganda, the authors suggest that some patients were infected through person-to-person transmission, which is supported by three observations: (1) HEV was not detected from water or zoonotic sources, (2) the epidemic curve suggested a propagated, not point-source outbreak, and (3) there was evidence of close contact between incident cases and subsequently infected household contacts after an incubation period [120]. Non-human reservoirs have been identified in donkeys in Sudan (unknown genotype) [100] and pigs the Democratic Republic of the Congo and Uganda (both genotype 3), and cows, buffaloes, sheep and goats in Egypt [40, 120]. In Ghana, the high prevalence (34.8%) of antibodies to HEV in pig farm workers was reported with the greatest risk factor being close contact with piped-water [75, 77]. No data have been reported from Africa suggesting the transmission of HEV by transfusion or by sexual intercourse [125] although the transmission of HEV by transfusion has been well documented in Europe and Japan [126, 127]. A single Egyptian study suggested HEV transmission from mothers to their neonates. Of nine mothers PCR positive for HEV RNA, five (55.6%) of their neonates were also PCR positive [128]. No other studies have investigated mother-to-child transmission in Africa.

Co-infection with other infectious diseases

Three infectious diseases—hepatitis viruses other than HEV, schistosomiasis, and HIV—are known to be associated with an increased risk or severity of HEV infection from published studies. First, infection with other hepatitis viruses was positively associated with infection with HEV. One study found a high prevalence of anti-HEV antibodies in Egyptian children infected with Hepatitis B (56.7%), Hepatitis C (52%) and both Hepatitis B and C (30%) compared with patients with non-A, non-B, non-C hepatitis (7.1%) [129]. Second, one study showed that patients with schistosomiasis infection had a higher prevalence of HEV infection: seroprevalence of HEV infection was 31% in patients with Schistosoma mansoni whereas it was 14% among parasite-free individuals [53]. Third, studies reported discordant findings as to whether patients with HIV infection or AIDS are at increased risk for HEV infection. One study reported that anti-HEV seroprevalence among HIV/AIDS cases in Africa was similar to HIV negatives and concluded that there is no significant increased risk for HEV infection in patients with HIV positive [30]. Another study showed the seroprevalence of anti-HEV IgG antibodies was higher among HIV-1 infected women than HTLV-I infected women (7.1% vs. 5.0%) [130]. Similarly, HEV infection was significantly more common in HIV-seropositive than HIV-seronegative Zambian adults (odds ratio = 6.2, 95% CI, 2.2-17.8). [115]

Discussion

The first documented outbreak of HEV infection likely occurred in 1950 in Tunisia [23] and since the 1980’s, when HEV diagnostic assays became available, half of all African countries including nations in north, south, east, west, and central Africa have published articles of Hepatitis E infections. Clearly, these results suggest that HEV infection is not new to Africa and implies that this is a continent-wide public health problem and a potential threat to travelers. This is supported by a recently published study on HEV in low- and middle-income countries in Asia and Africa [131]. HEV infection deserves the attention of local, regional and international agencies.
Since nations lack routine surveillance for HEV infection, it is difficult to estimate the African disease burden. However, these publications suggest that outbreaks are frequent with about one outbreak report published every other year from Africa. As only a few outbreaks are likely identified and even fewer reported in peer-reviewed journals, it is probable that outbreaks in Africa are even more common than these reports imply. To address HEV outbreak control, routine HEV surveillance and response is necessary and could be integrated with measles or poliomyelitis surveillance, which are ongoing activities in most countries.
Among HEV outbreaks, the overall case-fatality rate is comparable to that seen with other diseases such as cholera and measles signifying that these patients require equal attention. Like HEV infections among pregnant woman in Asia, the clinical prognosis is far worse for pregnant women than for men with fatalities reaching four out of 10 infected pregnant women [6]. The concerns for pregnant woman are further amplified when recognizing that HIV prevalence is high among pregnant women in sub-Saharan Africa [132] and co-infection with HIV and HEV as reported here may increase the risk of fulminant or chronic hepatitis. African men co-infected with HIV and HEV are similarly at risk of complications. While appreciating the hardship from all HEV-associated deaths, maternal deaths are the great tragedy of HEV infection likely causing serious adverse consequences for the health and well-being of surviving family members, especially children.
It has been suggested that many hepatitis outbreaks that occurred before the development of diagnostic assays for any hepatitis virus and enterically transmitted NANB hepatitis outbreaks were likely due to HEV as CFRs in pregnant women in these outbreaks were disproportionately high and attack rates were higher in young adults compared to children or adults [23]. This review supports the prior study showing that outbreaks and sporadic cases by NANB reported in Africa, many of which were not considered in the previous study, also display high CFR in pregnant women and high clinical attack rate among young adults (Tables A1-A3 in the Additional file 1).
We noted several limitations with the existing literature. First, there is no diagnostic “gold standard” for HEV infection and existing studies use different assays that vary in sensitivity and specificity adversely impacting the validity and comparability of reports. Second, studies measure the prevalence of HEV infection in dissimilar subpopulations making it difficult to compare seroprevalence. For example, it is difficult to conclude whether the overall seroprevalence of HEV infection in South Africa is higher than that in Morocco when examining studies that show seroprevalence among South Africans with a mean age of 42 years is 10.7% [98] and that among younger population in Morocco is 2.2-6.8% [84, 85]. Third, studies use different criteria to define acute hepatitis. In a study of Egyptian children, acute hepatitis was defined as the acute injury to the liver, manifested by two fold or more increase in the level of aspartate aminotransferase and alanine aminotransferase [47] whereas in another study, acute hepatitis was defined as the patient whose aminotransferase level was 5 times the normal value [133]. Finally, different surveillance methods may lead to different attack rates being determined. Attack rates are exceptionally difficult to determine in un-enumerated populations, which is likely to be the case in many African nations. The limitations noted above could be corrected in future studies by developing and publishing standardized study methods including case definitions and analytical plans and by development of a generic protocol for outbreak and endemic disease investigations. For diagnosis, an enzyme-linked immunosorbent assay for HEV IgG and IgM (Beijing Wantai Biological Pharmacy Enterprise CO., LTD.) shows high sensitivity and specificity compared to other assays including molecular methods [134].
There are knowledge gaps. Serology studies suggest that many Africans are infected with HEV, but except during outbreaks, symptomatic disease is only sporadic implying that case finding is incomplete or that only a few infected cases progress to clinical disease. Pathogenesis studies are needed. While there are a growing number of published reports on the impact of HEV infection, the overall burden of hepatitis E in Africa remains unclear. For example, two studies from South Asia using verbal autopsies suggest that HEV is responsible for 10% or more of pregnancy-associated deaths [135, 136]. The same investigation should also be carried out in multiple sites in Africa. HEV transmission in nations with genotypes 1 and 2 likely occurs from the fecal-oral route. However, the authors in one study on the HEV epidemic in Uganda during 2007–9 claimed that person-to-person transmission played a significant role in the propagation of HEV [120, 137]. Because of the implications for control measures, this report implies that HEV transmission studies should be carried out. Given the high background rates of HEV infection, the effect of co-infections (e.g., HIV, Hepatitis B) on the severity of disease especially in pregnant women are needed. Potential risk factors for HEV infection such as co-infections or pregnancy need to be clarified. Studies of vertical transmission and blood donor screening should be funded.
As these results suggest that acute hepatitis E is fecal-orally transmitted in African countries, the ultimate control of this disease will require increased access to safe water and sanitation and improved personal hygiene. Until these measures are universal, an anti-HEV vaccine is needed. Hecolin™ is a safe and effective anti-HEV vaccine for healthy subjects 16 years of age and older exposed to HEV genotype 4. The vaccine is now licensed in China [14]. This vaccine shows promise for outbreak interventions and control of endemic disease but several epidemiological issues need to be addressed before the vaccine is used widely in Africa. The participants in the efficacy trial used for licensing Hecolin™ were healthy adults, and there is no safety data on persons with chronic liver disease, the immunocompromised, and among children less than 16 years old. While the vaccine has also been found safe in a small number of pregnant women (n = 37) inadvertently vaccinated during a large clinical trial [138], there is a necessity for demonstrating safety in well-powered trials of pregnant women as this population should be included in outbreak response because of the high case fatality rate. While vaccine efficacy has been established for genotype 4, there are no studies in patients with genotype 1 or 2, the prominent strains in Africa. For outbreaks, it is unknown how quickly after the first injection protection will be afforded to those at risk early in the outbreak. There are no published reports on the length of protection. Still, these issues can and should be addressed quickly as there is a potential for this vaccine is be a major component of African HEV control program.

Conclusions

Extensive data suggest that hepatitis E is a major contributor to disease and mortality across much of the African continent, with country-level variability, as expected. Still, it is challenging to make comparisons across these populations, given differing methodologies and assays used to determine HEV etiology. Despite its substantial impact on human health, HEV has, even in hyper-endemic South Asia, been neglected in recognition as a major public health problem since its identification. Given the emerging evidence that HEV could be vaccine preventable, we hope this review will shed light on a pathogen of significance across the African continent.

Acknowledgements

We thank members at IVI for invaluable comments on the manuscript. This manuscript was edited by the IVI Communications & Advocacy Unit. The IVI receives funding support from the Bill and Melinda Gates Foundation, and the governments of Korea and Sweden.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( https://​creativecommons.​org/​publicdomain/​zero/​1.​0/​ ) applies to the data made available in this article, unless otherwise stated.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

TFW outlined the manuscript, oversaw the development, and with J-HK wrote the manuscript. J-HK, UP, and YK searched and J-HK reviewed the literature. All authors reviewed the results, edited the manuscript, and approved the final manuscript.
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Metadaten
Titel
A systematic review of the epidemiology of hepatitis E virus in Africa
verfasst von
Jong-Hoon Kim
Kenrad E Nelson
Ursula Panzner
Yogita Kasture
Alain B Labrique
Thomas F Wierzba
Publikationsdatum
01.12.2014
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2014
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/1471-2334-14-308

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