Literature DB >> 31818269

Associated factors in distinguishing patients with brucellosis from suspected cases.

Jingjing Luo1, Huixin Yang1, Fangfang Hu1, Siwen Zhang1, Taijun Wang1, Qian Zhao1, Ruize Wang1, Qing Zhen2.   

Abstract

BACKGROUND: To investigate the risk factors for brucellosis in suspected cases of the disease.
METHODS: A self-designed questionnaire was developed to collect data from 3557 people whose initial visit site was the Songyuan Center for Disease Control and Prevention (CDC) from January 1st, 2009 to December 31st, 2012. After collecting blood samples, a plate agglutination test (PAT) and serum agglutination test (SAT) were used to distinguish the patients with brucellosis from the suspected cases.
RESULTS: Sex, occupation (farmers and herdsmen), contact with abortion products, and contact with feces were the main risk factors for brucellosis in the suspected cases (all P < 0.05). No difference existed between the confirmed cases and suspected cases in the demographic characteristics, contact with animals (except swine), contact with substances, or clinical symptoms (except fever). However, the confirmed cases showed significant differences from people without brucellosis in demographic characteristics, contact with animals (except cattle and swine), contact with substances, and clinical symptoms. Suspected cases exhibited significant differences from people without brucellosis in the demographic characteristics (except education), contact with animals (except swine), contact with substances (except dust), and clinical symptoms (except chills and acratia). Brucella was cultured from the blood samples of three of 30 suspected cases with fever. Using AMOS-PCR and agarose electrophoresis, the detailed species of Brucella strain was identified as Brucella melitensis.
CONCLUSIONS: Abortion products and feces are the main risk factors for brucellosis in suspected cases of the disease. Pyrexia in suspected cases with a history of contact with abortion products or feces should raise suspicion for the disease.

Entities:  

Keywords:  Brucellosis; Confirmed case; Suspected case

Mesh:

Year:  2019        PMID: 31818269      PMCID: PMC6902461          DOI: 10.1186/s12879-019-4662-3

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

Brucellosis is the most common zoonosis caused by Brucella infection. The disease is classified as one of the category B infectious diseases in China. According to reports, the average annual growth rate of brucellosis in 2003–2014 is 20.8%, and it will continue to rise over the next 5 years [1]. The symptoms of human brucellosis include undulant fever, weight loss, night sweats, joint pain, enlarged lymph nodes and hepatosplenomegaly. Because the clinical manifestations of brucellosis are diverse and nonspecific, a missed or incorrect diagnosis for brucellosis is possible, especially for clinically suspected cases [2-5]. Clinically suspected brucellosis cases are defined as individuals with clinical manifestations and epidemiological profiles who test positive by the plate agglutination test (PAT). In fact, clinically suspected brucellosis cases include individuals with suboptimal health, misdiagnosed brucellosis cases, and patients with other diseases [6]. The clinically suspected cases lack standardized treatment and management protocols. Some of these suspected cases may develop chronic brucellosis, which poses a serious burden for treatment [7]. In this article, we investigated the risk factors of the confirmed cases, suspected cases, and people without brucellosis to raise awareness among physicians and suspected cases.

Methods

Definitions

The diagnosis of brucellosis was based on the “Diagnostic criteria for brucellosis” (WS269–2007).

A confirmed case

A confirmed case was defined (1) by epidemiological history; (2) by characteristic clinical findings and (3) as having either positive blood cultures for Brucella or a serum agglutination brucella antibody titer of ≥1:100.

A suspected case

A suspected case was defined (1) by epidemiological history; (2) by characteristic clinical findings and (3) as having a standard plate agglutination titer of ≥0.04 and a serum agglutination brucella antibody titer of ≤1:50.

An asymptomatic infection

The difference between a confirmed case and a person with asymptomatic infection is that the latter was free of clinical symptoms and no organs were damaged. Except for the suspected cases, confirmed cases and people with asymptomatic infection, the remainder of the visitors to the Songyuan CDC from 2009 to 2012 were negative for brucellosis.

Study protocol

A self-designed questionnaire was used to collect information, including demographic characteristics (sex, age, nation, education level, and occupation), contact with animals, manner of contact and clinical symptoms (Additional file 1), and the initial visit site was the Songyuan Center for Disease Control and Prevention (CDC) from January 1st, 2009 to December 31st, 2012. We excluded those cases that had a history of brucellosis and whose questionnaire missed important information that could not be supplemented, such as the exposure history and laboratory findings. Finally, we enrolled a total 3557 people (2860 with clinical symptoms and 697 without clinical symptoms). Blood samples were collected from all the enrollees. Based on a titer of < 0.04 detected by the plate agglutination test (PAT), we found 1939 people (1487 with clinical symptoms and 452 without clinical symptoms) without brucellosis. Based on the criteria of titer of ≥1:100 or ≤ 1:50 with the serum agglutination test (SAT), we determined 991 confirmed symptomatic cases, 382 suspected cases, 169 confirmed asymptomatic cases, and 76 people without brucellosis. Because brucellosis is characterized by the acute or insidious onset of fever and one or more symptoms, including night sweats, arthralgia, headache, fatigue, anorexia, myalgia, weight loss, arthritis/spondylitis, meningitis, or focal organ involvement (endocarditis, orchitis/epididymitis, hepatomegaly, splenomegaly), we randomly chose 30 suspected cases with fever to investigate the possibility of diagnosing brucellosis using the Brucella culture and validation with agarose electrophoresis or AMOS-PCR products [8] (Fig. 1). The sequence of PCR primers is listed in Additional file 2.
Fig. 1

Study protocol

Study protocol

Data management and analysis

Normally distributed data were displayed as the mean and standard deviation (x ±s). The median and Q1 to Q3 (25th to 75th percentiles, respectively) are shown. The chi-square test was used to compare the demographic characteristics, contact route, and clinical symptoms among the three groups (i.e., confirmed cases, suspected cases, and people without brucellosis). When the expected values in any of the cells of a contingency table were below 1 or more than 20% of the cells had an expected count less than 5, Fisher’s exact test was used. The difference revealed by the chi-square test was further analyzed using the Bonferroni adjustment method. The adjusted significance level α was 0.017, and statistical significance was attained when a p-value was less than this value. Multinomial logistic regression was used to confirm factors influencing the occurrence of brucellosis. The assignment of independent variables is shown in Table 1. For the brucellosis risk factors, we chose P < 0.05 for the inclusion criteria, 0.05 ≤ P ≤ 0.10 for the suspected risk criteria, and P > 0.1 for the exclusion criteria. The data were calculated using Epi-Data version 3.1 software and STATA version 12.6.
Table 1

Assignment of independent variables

VariableAssignment
SexMen = 1, Women = 2
Age66~86 years old = 1, 56~65 years old =2, 46~55 years old =3, 36~45 years old =4, 26~35 years old =5, 14~25 years old =6, 1~13 years old = 7
EducationPrimary = 1, Junior = 2, Senior =3, Undergraduate and above =4, Unknown =5, Illiteracy =6
OccupationFarmer and herdsmen =1, Unknown = 2, Nonfarmer and nonherdsmen =3
Contact with abortionYes = 1, No = 2
Contact with furYes = 1, No = 2
Contact with fecesYes = 1, No = 2
Contact with dustYes = 1, No = 2
Family member of infectedYes = 1, No = 2
Assignment of independent variables

Results

Baseline characteristics

From 2009 to 2012, a total 3557 individuals were enrolled in this study and further divided into three groups (confirmed cases: 991; suspected cases: 382; people without brucellosis: 2015). We compared the differences among the three groups using the chi-square test and found significant differences in demographic characteristics, contact history (except with deer, canine, dairy and meat), and clinical symptoms (except dizziness, cough, wrist pain, omalgia, sacroiliac pain, and lymphatic swelling) (P < 0.05) (Tables 2, 3 and 4).
Table 2

Demographic characteristics of the participants

Confirmed casen (%)Suspected casen (%)People without brucellosisn (%)C vs S vs PeC vs SC vs PeS vs Pe
X2PX2PX2PX2P
Sex89.141< 0.0013.8770.04982.664< 0.00118.482< 0.001
 Men759(76.59)273(71.47)1205(59.80)
 Women232(23.41)109(28.53)810(40.20)
Age64.861< 0.00110.320.11236.423< 0.00134.573< 0.001
  ≤ 1321(2.12)6(1.57)132(6.55)
 14~2599(9.99)24(6.28)234(11.61)
 26~35162(16.35)69(18.06)364(18.06)
 36~45281(28.36)128(33.51)524(26.00)
 46~55271(27.35)92(24.08)470(23.33)
 56~65129(13.02)56(14.66)225(11.17)
  ≥ 6628(2.83)7(1.83)66(3.28)
Education21.5090.0185.4520.34018.9010.0023.9470.557
 Illiteracy52(5.25)15(3.93)116(5.76)
 Primary edu611(61.65)234(61.26)1202(59.65)
 Junior edu296(29.87)112(29.32)559(27.74)
 Senior edu27(2.72)17(4.45)99(4.91)
 Undergraduate & above3(0.30)3(0.79)29(1.44)
 Unknown2(0.20)1(0.26)10(0.50)
Occupation155.747< 0.00112.7540.415123.857< 0.00154.654< 0.001
 Farmers and herdsmen838(84.56)331(86.65)1527(75.78)
 Livestock merchant6(0.61)3(0.79)21(1.04)
 Livestock slaughterer9(0.91)1(0.26)14(0.69)
 Dairy processor6(0.61)2(0.52)7(0.35)
 Fur-making worker2(0.20)0(0.00)2(0.10)
 Other worker10(1.01)4(1.05)60(2.98)
 Veterinarian3(0.30)2(0.52)7(0.35)
 Doctor or nurse0(0.00)1(0.26)6(0.30)
 Student13(1.31)7(1.83)75(3.72)
 Children12(1.21)2(0.52)79(3.92)
 Unemployed3(0.30)0(0.00)35(1.74)
 Officer0(0.00)2(0.52)30(1.49)
 Freelancer25(2.52)7(1.83)99(4.91)
 Unknown64(6.46)20(5.24)53(2.63)
Table 3

Contact history of the participants

Confirmed casen (%)Suspected casen (%)People without brucellosisn (%)C vs S vs PeC vs SC vs PeS vs Pe
X2PX2PX2PX2P
Contact with animals
 Cattle12.8910.0022.4860.1155.3380.0219.6010.002
  yes85(8.58)23(6.02)228(11.32)
  no906(91.42)359(93.98)1787(88.68)
 Sheep65.415< 0.0011.2170.27058.904< 0.00117.383< 0.001
  yes654(65.99)240(62.83)1032(51.22)
  no337(34.01)142(37.17)983(48.78)
 Swine9.6490.0089.7420.0022.5320.1124.7850.029
  yes64(6.46)44(11.52)163(8.09)
  no927(93.54)338(88.48)1852(91.91)
 Deer0.5820.843
  yes5(0.50)1(0.26)7(0.35)
  no986(99.50)381(99.74)2008(99.65)
 Canine2.3760.305
  yes162(16.35)59(15.45)287(14.24)
  no829(83.65)323(84.55)1728(85.76)
Contact with substances
 Abortion products213.426< 0.0011.9450.163194.577< 0.00172.951< 0.001
  yes446(45.01)156(40.84)414(20.55)
  no545(54.99)226(59.16)1601(79.45)
 Dairy and meat4.1820.124
  yes34(3.43)15(3.93)101(5.01)
  no957(96.57)367(96.07)1914((94.99)
 Fur43.090< 0.0010.0110.91535.375< 0.00116.015< 0.001
  yes649(65.49)249(65.18)1090(54.09)
  no342(34.51)133(34.82)925(45.91)
 Feces84.272< 0.0010.3700.54366.699< 0.00145.770< 0.001
  yes231(23.31)95(24.87)238(11.81)
  no760(76.69)287(75.13)1777(88.19)
 Dust15.424< 0.0012.4900.11515.426< 0.0010.9770.323
  yes305(30.78)101(26.44)485(24.07)
  no686(69.22)281(73.56)1530(75.93)
Table 4

Clinical symptoms of the participants

Confirmed casen (%)Suspected casen (%)People without brucellosisn (%)C vs S vs PeC vs SC vs PeS vs Pe
X2PX2PX2PX2P
Fever330.505< 0.0018.4660.004300.494< 0.00186.074< 0.001
 yes732(73.86)252(65.97)811(40.25)
 no259(26.14)130(34.03)1204(59.75)
Chills10.3630.0060.0810.7769.3140.0023.4090.065
 yes117(11.81)43(11.26)168(8.34)
 no874(88.19)339(88.74)1847(91.66)
Acratia7.3030.0260.8120.3677.2350.0070.7940.373
 yes392(39.56)141(36.91)696(34.54)
 no599(60.44)241(63.09)1319(65.46)
Hyperhidrosis119.031< 0.0013.3690.066113.247< 0.00130.548< 0.001
 yes369(37.24)122(31.94)389(19.31)
 no622(62.76)260(68.06)1626(80.69)
Dizziness0.4900.783
 yes21(2.12)8(2.09)50(2.48)
 no970(97.88)374(97.91)1965(97.52)
Headache57.392< 0.0010.2220.63851.125< 0.00121.371< 0.001
 yes235(23.71)86(22.51)269(13.35)
 no756(76.29)296(77.49)1746(86.65)
Cough0.1530.926
 yes20(2.02)8(2.09)45(2.23)
 no971(97.98)374(97.91)1970(97.77)
Joint and muscle pain63.716< 0.0010.1580.69155.357< 0.00123.535< 0.001
 yes359(36.23)134(35.08)470(23.33)
 no632(63.77)248(64.92)1545(76.67)
Muscular soreness24.294< 0.0010.3870.53417.532< 0.00114.175< 0.001
 yes150(15.14)63(16.49)200(9.93)
 no841(84.86)319(83.51)1815(90.07)
Omalgia2.6760.262
 yes43(4.34)16(4.19)65(3.23)
 no948(95.66)366(95.81)1950(96.77)
Wrist pain0.5820.837
 yes5(0.50)1(0.26)7(0.35)
 no986(99.50)381(99.74)2008(99.65)
Lumbago41.410< 0.0012.8990.08941.003< 0.0016.5580.010
 yes198(19.98)61(15.97)228(11.32)
 no793(80.02)321(84.03)1787(88.68)
Coxalgia19.362< 0.0010.0920.76215.361< 0.00110.8470.001
 yes63(6.36)26(6.81)66(3.28)
 no928(93.64)356(93.19)1949(96.72)
Sacroiliac pain0.9250.738
 yes3(0.30)2(0.52)6(0.30)
 no988(99.70)380(99.48)2009(99.70)
Gonalgia10.6610.0050.7480.3876.0650.0147.5600.006
 yes140(14.13)61(15.97)222(11.02)
 no851(85.87)321(84.03)1793(88.98)
Dolor vagus27.616< 0.0010.1430.70521.253< 0.00113.960< 0.001
 yes224(22.60)90(23.56)317(15.73)
 no767(77.40)292(76.44)1698(84.27)
Lymphatic swelling4.5800.079
 yes2(0.20)3(0.79)3(0.15)
 no989(99.80)379(99.21)2012(99.85)
Enlargement of testis21.422< 0.0010.2320.63020.433< 0.0017.8830.005
 yes42(4.24)14(3.66)31(1.54)
 no949(95.76)368(96.34)1984(98.46)

C Confirmed case; S Suspected case; Pe People without brucellosis

Primary edu: primary education; Junior edu: Junior middle school education; Senior edu: Senior middle school education

Demographic characteristics of the participants Contact history of the participants Clinical symptoms of the participants C Confirmed case; S Suspected case; Pe People without brucellosis Primary edu: primary education; Junior edu: Junior middle school education; Senior edu: Senior middle school education We further investigated the difference between any two groups using the Bonferroni adjustment (P < 0.017). For the demographic characteristics, our results revealed no difference between the confirmed and suspected cases. However, the confirmed cases were significantly different from the people without brucellosis, and the suspected cases exhibited significant differences from the people without brucellosis (except in education, P = 0.557) (Table 2). After comparing the history of contact with animals between the confirmed and suspected cases, we found that only contact with swine was a significant characteristic (P = 0.002). Nevertheless, contact with swine showed no difference between the confirmed cases and the people without brucellosis (P = 0.012) or between the suspected cases and the people without brucellosis (P = 0.029). For contact with sheep, significant differences existed between the confirmed cases and the people without brucellosis and between the suspected cases and the people without brucellosis (all P < 0.001). Moreover, for contact with cattle, the people without brucellosis showed no difference with the confirmed cases (P = 0.021) but exhibited a significant difference with the suspected cases (P = 0.002). In addition, with respect to contact with substances, our results indicated no difference between the confirmed and suspected cases, but both the confirmed and suspected cases exhibited significant differences with the people without brucellosis (except for contact with dust in the suspected cases vs the people without brucellosis, P = 0.323) (Table 3). When comparing the clinical symptoms, we found no difference between the confirmed and suspected cases (except with fever, P = 0.004). However, the confirmed cases were significantly different from the people without brucellosis (P = 0.065), and the suspected cases exhibited significant differences from the people without brucellosis (P = 0.373) (except with chills and acratia) (Table 4).

Analysis of risk factors of brucellosis

We used multivariable logistic regression to identify the risk factors for brucellosis, and our results demonstrated that sex (adjusted odds ratio [aOR]: 2.249; 95% confidence interval [CI]: 1.864–2.712), age (14~86 years old) (aOR: 2.186; 95% CI: 1.037–4.608), occupation (farmers and herdsmen, and unspecified occupation) (aOR: 1.434; 95% CI: 1.052–1.953 and aOR: 5.071; 95% CI: 3.091–8.319, respectively), and contact with abortion products (aOR: 2.513; 95% CI: 2.040–3.096) were significantly associated with the risk of brucellosis in the confirmed cases (all P < 0.05). In addition, sex (aOR: 1.652; 95% CI: 1.284–2.126), occupation (farmers and herdsmen; unspecified occupation) (aOR: 1.895; 95% CI: 1.195–3.004 and aOR: 4.646; 95% CI: 2.341–9.220, respectively), contact with abortion products (aOR: 2.186; 95% CI: 1.037–4.608), and contact with feces (aOR: 1.506; 95% CI: 1.039–2.183) were significantly associated with the risk of brucellosis in the suspected cases (all P < 0.05) (Table 5).
Table 5

Influencing factors of brucellosis by multinomial logistic regression. Reference: people without brucellosis; sex of control: women; age of control: 1 to 13 years old; profession of control: nonfarmer and nonherdsmen; contact history of control: no contact

GroupInfluencing factorBStd. ErrorWaldSig.Exp(B)95% CI for Exp(B)
LowerUpper
Confirmed caseSex0.8100.09671.7730.0002.2491.8642.712
Age
 14~25-years-old0.6520.3273.9660.0461.9201.0103.647
 26~35-years-old0.6740.3234.3510.0371.9631.0423.700
 36~45-years-old0.7900.3166.2690.0122.2041.1874.091
 46~55-years-old0.8890.3157.9660.0052.4321.3124.507
 56~65-years-old0.9170.3257.9470.0052.5011.3224.730
 66~86-years-old0.7820.3814.2240.0402.1861.0374.608
Farmers and herdsmen0.3600.1585.2180.0221.4341.0521.953
Unspecified occupation1.6240.25341.3330.0005.0713.0918.319
Abortion products0.9220.10675.0050.0002.5132.0403.096
Suspected caseSex0.5020.12915.2400.0001.6521.2842.126
Farmers and herdsmen0.6390.2357.3880.0071.8951.1953.004
Unspecified occupation1.5360.35019.2880.0004.6462.3419.220
Abortion products0.7140.14424.6290.0002.0431.5412.708
Feces0.4090.1894.6700.0311.5061.0392.183
Influencing factors of brucellosis by multinomial logistic regression. Reference: people without brucellosis; sex of control: women; age of control: 1 to 13 years old; profession of control: nonfarmer and nonherdsmen; contact history of control: no contact

Germ culture of blood samples

To investigate the possibility of diagnosing brucellosis in the suspected cases, we randomly chose blood samples from 30 suspected cases with fever to culture Brucella and found the bacterium in the blood samples of three cases. Furthermore, we used AMOS-PCR and agarose electrophoresis to identify the detailed species of the Brucella strains and found the species to be Brucella melitensis (Fig. 2).
Fig. 2

Agarose electrophoresis of AMOS-PCR products. PCR amplification using B4/B5, AMOS-M-F, AMOS-A-F, AMOS-R primers identify 3 brucella strains. M: DNA markers; 1: Negative control; 2: 544A; 3: 16 M; 4–6: Isolated strains

Agarose electrophoresis of AMOS-PCR products. PCR amplification using B4/B5, AMOS-M-F, AMOS-A-F, AMOS-R primers identify 3 brucella strains. M: DNA markers; 1: Negative control; 2: 544A; 3: 16 M; 4–6: Isolated strains

Discussion

Brucellosis is a common zoonotic infection caused by Brucella. This bacterial disease has not only a considerable influence on human and animal health but also a major socioeconomic impact because of loss in husbandry [9, 10]. Each year, there are 5,000,000 to 6,000,000 brucellosis patients and 500,000 new cases worldwide [11]. Furthermore, most cases of brucellosis are underdiagnosed and underreported because of vague flu-like symptoms, nonstandard medications, and difficulty in diagnosis [12]. Routine laboratory tests for the diagnosis of brucellosis include the PAT and SAT. If PAT and SAT identify suspected cases and trigger physicians to pay close attention to persistent symptoms in these suspected cases, Brucella culture from blood samples is a further determining method. Using the Brucella culture, Basappa G. Mantur found that 7.14% of suspected cases had brucellosis with negative PAT and SAT results [6]. Over 30% of clinically suspected cases are confirmed by this method to have brucellosis [13]. Similarly, we used this method and found that 10% of clinically suspected cases had brucellosis. However, this method is still deficient in providing information on the Brucella strains [14, 15]. Thus, we used AMOS-PCR to further determine the Brucella strains. Interestingly, the only strain we identified was Brucella melitensis. Because sheep-raising is the main economic source for farmers and herdsmen in Songyuan, sheep are one of the animals with which they most frequently come into contact. Moreover, Brucella melitensis (sheep) has much higher pathogenicity for humans than Brucella abortus (cattle) or Brucella suis (pig) [16]. These reasons at least partly support our findings. For these reasons, Brucella melitensis is the most prevalent Brucella species in Songyuan, Jilin province [17]. A high incidence of brucellosis exists in this province. As an agro-pastoral region, sheep, cattle, swine, deer, and canine are the main livestock. There is no clear border between the feeding areas and living areas. Moreover, the livestock waste is not subjected to sanitary treatment [18]. Contact with livestock and substances are the main activities contributing to brucellosis in Songyuan. We investigated the contribution of contact with livestock (sheep, cattle, swine, deer, and canine) and contact with substances (abortion products, dairy and meat, fur, feces, and dust) to the brucellosis risk. Our results revealed that abortion products were a risk factor for brucellosis both in the confirmed and suspected cases. Notably, feces were a risk factor for brucellosis only in the suspected cases. This is probably because the excreta eliminated by livestock such as cattle and sheep into the litter or into the air is not treated in time, and the Brucella in the feces enters the air to form infectious aerosol particles which infect humans through the respiratory system. Studies have shown that dust in sand and air may carry Brucella and can be transmitted by inhalation of infectious aerosol particles [19]. Unlike contact with abortion products, contact with feces is an indirect method for the confirmed and suspected cases, and infection of the respiratory tract by Brucella is the main route of fecal transmission. However, we could not provide the follow-up findings and repetition results of serology in the suspected cases with respiratory findings. Additionally, physicians pay more attention to suspected cases and possibly inquire further about contact information from these cases. These reasons may provide an explanation for feces being a risk factor for brucellosis in the suspected cases. During the epidemiological investigation in Songyuan, we found that sex, farmers, and herdsmen were also risk factors for brucellosis in both the confirmed and suspected cases. Interestingly, constituent ratios exhibited an increasing tendency from the confirmed cases to the suspected cases to the people without brucellosis, in student, officers and people with senior middle school education or undergraduate and above education (Table 2). After comparing the clinical symptoms, we found that the constituent ratio of the pyrexia cases exhibited a decreasing tendency from the confirmed cases to the suspected cases to the people without brucellosis (Table 4). Because the constituent ratio of pyrexia in the suspected cases was significantly higher than that in the people without brucellosis (P < 0.001), physicians should pay much more attention to pyrexia in suspected cases. The authors, Basappa G. Mantur [6], and Wand Yi [13] performed retrospective studies and found cases misdiagnosed with brucellosis. Intriguingly, Catherine Kansiime [20] performed a prospective study and found that 31.8% of suspected cases ultimately develop brucellosis. These results further confirm that suspected cases remain at risk of brucellosis. This study has limitations. We found that age (14–86) was a risk factor for brucellosis in the confirmed cases but not in the suspected cases. We cannot provide a sufficient explanation for this discrepancy, which merits further study in the future.

Conclusion

Abortion products and feces are the main risk factors for brucellosis in confirmed and suspected cases, and feces was a risk factor for brucellosis only in the suspected cases. This study confirms the need for policy makers to educate farmers about health care, avoiding unprotected contact with animal abortion products or feces, and wearing masks as often as possible. In addition, pyrexia in suspected cases with a history of contact with abortion products and feces should raise suspicion for the disease. The authors suggest further investigation of the main route of fecal transmission in suspected cases. Additional file 1. Case questionnaire – for outpatient of brucellosis. Additional file 2. Oligonucleotide sequences of primers used in AMOS-PCR.
  15 in total

Review 1.  The new global map of human brucellosis.

Authors:  Georgios Pappas; Photini Papadimitriou; Nikolaos Akritidis; Leonidas Christou; Epameinondas V Tsianos
Journal:  Lancet Infect Dis       Date:  2006-02       Impact factor: 25.071

2.  Apparent seroprevalence, isolation and identification of risk factors for brucellosis among dairy cattle in Goa, India.

Authors:  Ajay D Pathak; Z B Dubal; M Karunakaran; Swapnil P Doijad; Abhay V Raorane; R B Dhuri; M A Bale; Eaknath B Chakurkar; Dewanand R Kalorey; Nitin V Kurkure; Sukhadeo B Barbuddhe
Journal:  Comp Immunol Microbiol Infect Dis       Date:  2016-05-25       Impact factor: 2.268

Review 3.  From the discovery of the Malta fever's agent to the discovery of a marine mammal reservoir, brucellosis has continuously been a re-emerging zoonosis.

Authors:  Jacques Godfroid; Axel Cloeckaert; Jean-Pierre Liautard; Stephan Kohler; David Fretin; Karl Walravens; Bruno Garin-Bastuji; Jean-Jacques Letesson
Journal:  Vet Res       Date:  2005 May-Jun       Impact factor: 3.683

4.  Clinical utility of a quantitative Rose Bengal slide agglutination test in the diagnosis of human brucellosis in an endemic region.

Authors:  Basappa G Mantur; Satish K Amarnath; Giridhar A Patil; Arun S Desai
Journal:  Clin Lab       Date:  2014       Impact factor: 1.138

5.  Asymptomatic brucellosis infection in humans: implications for diagnosis and prevention.

Authors:  Q Zhen; Y Lu; X Yuan; Y Qiu; J Xu; W Li; Y Ke; Y Yu; L Huang; Y Wang; Z Chen
Journal:  Clin Microbiol Infect       Date:  2013-05-13       Impact factor: 8.067

6.  Narrative overview of animal and human brucellosis in Morocco: intensification of livestock production as a driver for emergence?

Authors:  Marie J Ducrotoy; Khaoula Ammary; Hicham Ait Lbacha; Zaid Zouagui; Virginie Mick; Laura Prevost; Ward Bryssinckx; Susan C Welburn; Abdelali Benkirane
Journal:  Infect Dis Poverty       Date:  2015-12-22       Impact factor: 4.520

7.  Epidemic characteristics, high-risk townships and space-time clusters of human brucellosis in Shanxi Province of China, 2005-2014.

Authors:  Qiulan Chen; Shengjie Lai; Wenwu Yin; Hang Zhou; Yu Li; Di Mu; Zhongjie Li; Hongjie Yu; Weizhong Yang
Journal:  BMC Infect Dis       Date:  2016-12-19       Impact factor: 3.090

8.  Annual trends of human brucellosis in pastoralist communities of south-western Uganda: a retrospective ten-year study.

Authors:  Catherine Kansiime; Elizeus Rutebemberwa; Benon B Asiimwe; Fredrick Makumbi; Joel Bazira; Anthony Mugisha
Journal:  Infect Dis Poverty       Date:  2015-08-31       Impact factor: 4.520

9.  Risk factors for human brucellosis in agro-pastoralist communities of south western Uganda: a case-control study.

Authors:  Benon B Asiimwe; Catherine Kansiime; Innocent B Rwego
Journal:  BMC Res Notes       Date:  2015-09-04

10.  Enzootic situation and molecular epidemiology of Brucella in livestock from 2011 to 2015 in Qingyang, China.

Authors:  Xiaoan Cao; Shien Li; Zhaocai Li; Zhijun Liu; Jie Ma; Zhongzi Lou; Jizhang Zhou; Yongsheng Liu; Zhizhong Jing; Baoquan Fu
Journal:  Emerg Microbes Infect       Date:  2018-04-04       Impact factor: 7.163

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