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. 2017 Mar 3;17:187. doi: 10.1186/s12879-017-2274-3

Erratum to: A systematic review of the epidemiology of hepatitis E virus in Africa

Jong-Hoon Kim 1,, Kenrad E Nelson 2, Ursula Panzner 1, Yogita Kasture 1, Alain B Labrique 2, Thomas F Wierzba 3
PMCID: PMC5335775  PMID: 28257623

Erratum

In this letter, we wish to correct errors in the previously published article [1]. Although the errors do not change the main results and conclusions described in the abstract of the original article, we believe providing the correct information is important. The major correction is about the genotype distribution of HEV in Africa. In the original article, we indicated that genotype 3 is rare and less commonly found than genotype 2 while genotype 1 is the most prevalent. The correct information is, however, that genotypes 2 and 3 were identified at a similar frequency while genotype 1 was the most prevalent. This error arose because the genotypes of HEV identified in seven Nigerian adults [89] were mistaken to be 2, when their actual genotype was 3. In what follows, we revised the relevant section named “Genotype prevalence” on page 5 of the original article and the relevant table and figure (i.e., Table 5 and Fig. 2).

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]
3 Nigeria 2000e Ten adult acute hepatitis patients ORF1, 2 (3'-end) [89]
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 2009 Slaughter house workers ORF2,3 (1000 nt) [81]

aCAR; Central African Republic

bNA; not available

cORF; open reading frame

dnt; nucleotides

ePublication year

Fig. 2.

Fig. 2

Map of Africa. Colored areas represent countries where HEV is endemic at least for some subpopulations or sporadic HEV cases or outbreaks have been detected. Circles indicate HEV outbreaks with centers and areas indicating the location and outbreak size, respectively. Different colors represent different genotypes. White areas indicate countries where no data is 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 and 3, of which both were observed at a similar frequency. Genotype 2 was found in Central African Republic [34], Chad [35], and Namibia [87]. Genotype 3 was observed in one Egyptian child [48], one acute hepatitis patient in Mayotte (originally from France) [82], seven Nigerian adults with acute hepatitis E [89], and slaughter house workers in Madagascar [81]. 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.

We corrected additional minor errors in Tables 1 and 2 although these corrections do not cause any changes in the main text. We have made three revisions to Table 1 of the original article:

  1. The seroprevalence of a Zambian population were 42% and 16%, which should be 40.6% and 16.0%, respectively [115]

  2. The sample size, (n = 402), in the description of the study conducted in Ghana (the first row of Ghana) was removed to avoid duplication

  3. The study of HEV in Sierra Leone was mistaken to be omitted in the original article with no reference included. It is now included in the revised Table 1 with the full reference [139]

Table 1.

Seroprevalence of anti-HEV antibodies in Africa. 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)

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)and 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 Asymptomatic 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]
54.1 Four waste water treatment plant male workers, 20-60 yrs old 205 1998-9 IgG [116]
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]
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, 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 men (n = 232) and women (n = 259), 27.7 yrs old (±5.9) 491 1995b IgG [84]
Nigeria 94.0 Control healthy adults (n = 44) 44 2008-9 Total Ig [90]
43.0 Health care workers 88 2008-9 Total Ig [90]
13.4 Healthy and sick people, 29.8 yrs old (3-72) 186 2007 Total Ig [91]
Sierra Leone 7.6 Primary school children, 6-12 yrs old 66 1998b IgG [139]
South Africa 10.7 Urban (n = 407) and rural (n = 360) blacks, 42 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 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 40.6c Urban adults, 18–64 yrs old 106 1999 IgG [115]
16.0 Urban children, 1–15 yrs old 194 2011 IgG [115]

aCAR; Central African Republic

bThe year of the publication

cThe original study reports 42%, but the actual figures indicate that 43 out of 106 specimens are positive; 43/106 = 0.4056

Table 2.

Sporadic cases caused by hepatitis E virus in Africa. 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)

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 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]
21.7 Acute hepatitis patients, 26.6 yrs old (18-60) 143 1993-4 IgM [71]
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 [76]
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 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

The order of table cells was rearranged for Egyptian data by descending seroprevalence to make it consistent across countries. For Table 2, some of decimal points appear as middle dots in the original article, which were revised to be the same as other decimal points (i.e., periods) in the revised Table 2.

139. Hodges M, Sanders E, Aitken C. Seroprevalence of hepatitis markers; HAV, HBV, HCV and HEV amongst primary school children in Freetown, Sierra Leone. West Afr J Med. 1998; 17(1): 36-7.

Footnotes

The online version of the original article can be found under doi:10.1186/1471-2334-14-308.

Reference

  • 1.Kim J-H, Nelson KE, Panzner U, Kasture Y, Labrique AB, Wierzba TF. A systematic review of the epidemiology of hepatitis E virus in Africa. BMC Infectious Diseases. 2014;14:308. doi: 10.1186/1471-2334-14-308. [DOI] [PMC free article] [PubMed] [Google Scholar]

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