{"title":"OzFoodNet quarterly report, 1 January to 31 March 2015.","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 2","pages":"E186-E193"},"PeriodicalIF":2.5,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35396626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Australian Meningococcal Surveillance Programme, 1 January to 31 March 2017.","authors":"Monica M Lahra","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 2","pages":"E201"},"PeriodicalIF":2.5,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35396628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brett N Archer, Cathie Hallahan, Priscilla Stanley, Kathy Seward, Margaret Lesjak, Kirsty Hope, Anthony Brown
We investigated an outbreak of Q fever in a remote rural town in New South Wales, Australia. Cases identified through active and passive case finding activities, and retrospective laboratory record review were interviewed using a standard questionnaire. Two sets of case-case analyses were completed to generate hypotheses regarding clinical, epidemiological and exposure risk factors associated with infection during the outbreak. Laboratory-confirmed outbreak cases (n=14) were compared with an excluded case group (n=16) and a group of historic Q fever cases from the region (n=106). In comparison with the historic case group, outbreak cases were significantly more likely to be female (43% vs. 18% males, P = 0.04) and identify as Aboriginal (29% vs. 7% non-Aboriginal, P = 0.03). Similarly, very few cases worked in high-risk occupations (21% vs. 84%, P < 0.01). Most outbreak cases (64%) reported no high-risk exposure activities in the month prior to onset. In comparison with the excluded case group, a significantly increased proportion of outbreak cases had contact with dogs (100% vs. 63%, P = 0.02) or sighted kangaroos on their residential property (100% vs. 60%, P = 0.02). High rates of tick exposure (92%) were also reported, although this was not significantly different from the excluded case group. While a source of this outbreak could not be confirmed, our findings suggest infections likely occurred via inhalation of aerosols or dust contaminated by Coxiella burnetii, dispersed through the town from either an unidentified animal facility or from excreta of native wildlife or feral animals. Alternatively transmission may have occurred via companion animals or tick vectors.
{"title":"Atypical outbreak of Q fever affecting low-risk residents of a remote rural town in New South Wales.","authors":"Brett N Archer, Cathie Hallahan, Priscilla Stanley, Kathy Seward, Margaret Lesjak, Kirsty Hope, Anthony Brown","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>We investigated an outbreak of Q fever in a remote rural town in New South Wales, Australia. Cases identified through active and passive case finding activities, and retrospective laboratory record review were interviewed using a standard questionnaire. Two sets of case-case analyses were completed to generate hypotheses regarding clinical, epidemiological and exposure risk factors associated with infection during the outbreak. Laboratory-confirmed outbreak cases (n=14) were compared with an excluded case group (n=16) and a group of historic Q fever cases from the region (n=106). In comparison with the historic case group, outbreak cases were significantly more likely to be female (43% vs. 18% males, P = 0.04) and identify as Aboriginal (29% vs. 7% non-Aboriginal, P = 0.03). Similarly, very few cases worked in high-risk occupations (21% vs. 84%, P < 0.01). Most outbreak cases (64%) reported no high-risk exposure activities in the month prior to onset. In comparison with the excluded case group, a significantly increased proportion of outbreak cases had contact with dogs (100% vs. 63%, P = 0.02) or sighted kangaroos on their residential property (100% vs. 60%, P = 0.02). High rates of tick exposure (92%) were also reported, although this was not significantly different from the excluded case group. While a source of this outbreak could not be confirmed, our findings suggest infections likely occurred via inhalation of aerosols or dust contaminated by Coxiella burnetii, dispersed through the town from either an unidentified animal facility or from excreta of native wildlife or feral animals. Alternatively transmission may have occurred via companion animals or tick vectors.</p>","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 2","pages":"E125-E133"},"PeriodicalIF":2.5,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35397179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Australian Gonococcal Surveillance Programme (AGSP) has continuously monitored antimicrobial resistance in clinical isolates of Neisseria gonorrhoeae from all Australian states and territories since 1981. In 2015, there were 5,411 clinical isolates of gonococci from public and private sector sources tested for in vitro antimicrobial susceptibility by standardised methods. Current treatment recommendations for the majority of Australian states and territories is a dual therapeutic strategy of ceftriaxone and azithromycin. Decreased susceptibility to ceftriaxone (minimum inhibitory concentration or MIC value 0.06-0.125 mg/L) was found nationally in 1.8% of isolates, which was lower than that reported in the AGSP annual report 2014 (5.4%). The highest proportions were reported from South Australia and New South Wales (3.6% and 2.7% respectively). High level resistance to azithromycin (MIC value ≥ 256 mg/L) was again reported in 2015, with 1 strain in each of New South Wales and urban Western Australia. There was no reported Azithromycin resistance in the Australian Capital Territory, the Northern Territory, or remote Western Australia. The proportion of strains resistant to penicillin in urban and rural Australia ranged from 8.7% in Tasmania to 33% in the Australian Capital Territory. In rural and remote Northern Territory, penicillin resistance rates remain low (2.2%). In remote Western Australia relatively low numbers of strains are available for testing, however there is now widespread molecular testing for penicillin resistance in Western Australia to monitor resistance and inform guidelines and these data are included in the AGSP annual report. Quinolone resistance ranged from 11% in the urban and rural areas of the Northern Territory, to 41% in South Australia. Quinolone resistance rates remain comparatively low in remote areas of the Northern Territory (3.3%) and remote areas of Western Australia (3.4%). There was no reported quinolone resistance in Tasmania, but the number of isolates tested was relatively low. Azithromycin resistance ranged from 1.8% in Victoria to 5.8% in Queensland.
{"title":"Australian Gonococcal Surveillance Programme annual report, 2015.","authors":"Monica M Lahra, Rodney P Enriquez","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The Australian Gonococcal Surveillance Programme (AGSP) has continuously monitored antimicrobial resistance in clinical isolates of Neisseria gonorrhoeae from all Australian states and territories since 1981. In 2015, there were 5,411 clinical isolates of gonococci from public and private sector sources tested for in vitro antimicrobial susceptibility by standardised methods. Current treatment recommendations for the majority of Australian states and territories is a dual therapeutic strategy of ceftriaxone and azithromycin. Decreased susceptibility to ceftriaxone (minimum inhibitory concentration or MIC value 0.06-0.125 mg/L) was found nationally in 1.8% of isolates, which was lower than that reported in the AGSP annual report 2014 (5.4%). The highest proportions were reported from South Australia and New South Wales (3.6% and 2.7% respectively). High level resistance to azithromycin (MIC value ≥ 256 mg/L) was again reported in 2015, with 1 strain in each of New South Wales and urban Western Australia. There was no reported Azithromycin resistance in the Australian Capital Territory, the Northern Territory, or remote Western Australia. The proportion of strains resistant to penicillin in urban and rural Australia ranged from 8.7% in Tasmania to 33% in the Australian Capital Territory. In rural and remote Northern Territory, penicillin resistance rates remain low (2.2%). In remote Western Australia relatively low numbers of strains are available for testing, however there is now widespread molecular testing for penicillin resistance in Western Australia to monitor resistance and inform guidelines and these data are included in the AGSP annual report. Quinolone resistance ranged from 11% in the urban and rural areas of the Northern Territory, to 41% in South Australia. Quinolone resistance rates remain comparatively low in remote areas of the Northern Territory (3.3%) and remote areas of Western Australia (3.4%). There was no reported quinolone resistance in Tasmania, but the number of isolates tested was relatively low. Azithromycin resistance ranged from 1.8% in Victoria to 5.8% in Queensland.</p>","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthony Dk Draper, Claire N Morton, Joshua Ni Heath, Justin A Lim, Peter G Markey
An outbreak of salmonellosis occurred following attendance at a school camp between 5 and 8 August 2014 in a remote area of the Northern Territory, Australia. We conducted a retrospective cohort study via telephone interviews, using a structured questionnaire that recorded symptoms and exposures to foods and activities during the camp. A case was anyone with laboratory confirmed Salmonella Saintpaul infection or a clinically compatible illness after attending the camp. Environmental health officers from the Environmental Health Branch undertook an investigation and collected water and environmental samples. We interviewed 65 (97%) of the 67 people who attended the camp. There were 60 students and 7 adults. Of the 65 people interviewed, 30 became ill (attack rate 46%); all were students; and 4 had laboratory confirmed S. Saintpaul infection. The most commonly reported symptoms were diarrhoea (100% 30/30), abdominal pain (93% 28/30), nausea (93% 28/30) and fever (70% 21/30). Thirteen people sought medical attention but none required hospitalisation. Illness was significantly associated with drinking cordial at lunch on 7 August (RR 3.8, 95% CI 1.3-11, P < 0.01), as well as drinking cordial at lunch on 8 August (RR 2.1, 95% CI 1.1-4.2, P=0.01). Salmonella spp. was not detected in water samples or wallaby faeces collected from the camp ground. The epidemiological investigation suggests the outbreak was caused by environmental contamination of food or drink and could have occurred during ice preparation or storage, preparation of the cordial or from inadequate sanitising of the cooler from which the cordial was served. This outbreak highlights the risks of food or drink contamination with environmental Salmonella. Those preparing food and drink in campground settings should be vigilant with cleaning, handwashing and disinfection to prevent outbreaks of foodborne disease.
2014年8月5日至8日期间,在澳大利亚北领地一个偏远地区的一个学校营地上学后发生了沙门氏菌病暴发。我们通过电话访谈进行了一项回顾性队列研究,使用了一份结构化的问卷,记录了营地期间的症状、食物暴露和活动情况。任何在参加营地后经实验室确认感染圣保罗沙门氏菌或临床相容疾病的人均为病例。环境卫生处的环境卫生官员进行了调查,并收集了水和环境样本。我们采访了参加夏令营的67人中的65人(97%)。有60名学生和7名成年人。在接受采访的65人中,30人患病(发病率46%);他们都是学生;4人经实验室确诊感染圣保罗链球菌。最常见的报告症状是腹泻(100% 30/30)、腹痛(93% 28/30)、恶心(93% 28/30)和发烧(70% 21/30)。13人求医,但没有人需要住院治疗。疾病与8月7日午餐时饮用甜酒(RR 3.8, 95% CI 1.3-11, P < 0.01)和8月8日午餐时饮用甜酒(RR 2.1, 95% CI 1.1-4.2, P=0.01)显著相关。在营地采集的水样和小袋鼠粪便中未检出沙门氏菌。流行病学调查表明,疫情是由食品或饮料的环境污染引起的,可能是在制冰或储存、制冰或供应甜酒的冷却器消毒不当时发生的。这次暴发突出了食品或饮料被环境沙门氏菌污染的风险。在露营地准备食物和饮料的人应注意清洁、洗手和消毒,以防止食源性疾病的爆发。
{"title":"An outbreak of Salmonella Saintpaul gastroenteritis after attending a school camp in the Northern Territory, Australia.","authors":"Anthony Dk Draper, Claire N Morton, Joshua Ni Heath, Justin A Lim, Peter G Markey","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>An outbreak of salmonellosis occurred following attendance at a school camp between 5 and 8 August 2014 in a remote area of the Northern Territory, Australia. We conducted a retrospective cohort study via telephone interviews, using a structured questionnaire that recorded symptoms and exposures to foods and activities during the camp. A case was anyone with laboratory confirmed Salmonella Saintpaul infection or a clinically compatible illness after attending the camp. Environmental health officers from the Environmental Health Branch undertook an investigation and collected water and environmental samples. We interviewed 65 (97%) of the 67 people who attended the camp. There were 60 students and 7 adults. Of the 65 people interviewed, 30 became ill (attack rate 46%); all were students; and 4 had laboratory confirmed S. Saintpaul infection. The most commonly reported symptoms were diarrhoea (100% 30/30), abdominal pain (93% 28/30), nausea (93% 28/30) and fever (70% 21/30). Thirteen people sought medical attention but none required hospitalisation. Illness was significantly associated with drinking cordial at lunch on 7 August (RR 3.8, 95% CI 1.3-11, P < 0.01), as well as drinking cordial at lunch on 8 August (RR 2.1, 95% CI 1.1-4.2, P=0.01). Salmonella spp. was not detected in water samples or wallaby faeces collected from the camp ground. The epidemiological investigation suggests the outbreak was caused by environmental contamination of food or drink and could have occurred during ice preparation or storage, preparation of the cordial or from inadequate sanitising of the cooler from which the cordial was served. This outbreak highlights the risks of food or drink contamination with environmental Salmonella. Those preparing food and drink in campground settings should be vigilant with cleaning, handwashing and disinfection to prevent outbreaks of foodborne disease.</p>","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E10-E15"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"OzFoodNet quarterly report, 1 October to 31 December 2014.","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E91-E98"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Australian Gonococcal Surveillance Programme, 1 July to 30 September 2016\u2029.","authors":"Monica M Lahra, Rodney P Enriquez","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E109-E110"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthony Dk Draper, Claire N Morton, Joshua Ni Heath, Justin A Lim, Anninka I Schiek, Stephanie Davis, Vicki L Krause, Peter G Markey
In June 2015, an outbreak of salmonellosis occurred among people who had eaten at a restaurant in Darwin, Northern Territory over 2 consecutive nights. We conducted a retrospective cohort study of diners who ate at the restaurant on 19 and 20 June 2015. Diners were telephoned and a questionnaire recorded symptoms and menu items consumed. An outbreak case was defined as anyone with laboratory confirmed Salmonella Typhimurium PT9 (STm9) or a clinically compatible illness after eating at the restaurant. Environmental health officers inspected the premises and collected food samples. We contacted 79/83 of the cohort (response rate 95%); 21 were cases (attack rate 27%), and 9 had laboratory confirmed STm9 infection. The most commonly reported symptoms were diarrhoea (100%), abdominal pain (95%), fever (95%) and nausea (95%). Fifteen people sought medical attention and 7 presented to hospital. The outbreak was most likely caused by consumption of duck prosciutto, which was consumed by all cases (OR 18.6, CI 3.0-∞, P < 0.01) and was prepared on site. Salmonella was not detected in any food samples but a standard plate count of 2 x 107 colony forming units per gram on samples of duck prosciutto demonstrated bacterial contamination. The restaurant used inappropriate methodology for curing the duck prosciutto. Restaurants should consider purchasing pre-made cured meats, or if preparing them on site, ensure that they adhere to safe methods of production.
2015年6月,在北领地达尔文一家餐馆连续两晚就餐的人群中爆发了沙门氏菌病。我们对2015年6月19日和20日在该餐厅用餐的食客进行了回顾性队列研究。研究人员给用餐者打了电话,并填写了一份调查问卷,记录了用餐者的症状和所吃的菜单。暴发病例定义为在餐厅用餐后感染经实验室确认的鼠伤寒沙门氏菌PT9 (STm9)或临床相容疾病的任何人。环境卫生官员视察了该处所并收集了食物样本。我们联系了79/83的队列(应答率95%);21例(发病率27%),实验室确诊感染9例。最常见的报告症状是腹泻(100%)、腹痛(95%)、发烧(95%)和恶心(95%)。15人寻求医疗救助,7人被送往医院。暴发最可能由食用鸭熏火腿引起,所有病例均食用鸭熏火腿(OR 18.6, CI 3.0-∞,P < 0.01),且均为现场制作。在任何食品样品中均未检测到沙门氏菌,但鸭熏火腿样品的标准平板计数为每克2 × 107菌落形成单位,表明细菌污染。这家餐馆用了不恰当的方法来腌制熏鸭肉。餐馆应考虑购买预制腌肉,如果在现场准备,则应确保它们遵循安全的生产方法。
{"title":"An outbreak of salmonellosis associated with duck prosciutto at a Northern Territory restaurant.","authors":"Anthony Dk Draper, Claire N Morton, Joshua Ni Heath, Justin A Lim, Anninka I Schiek, Stephanie Davis, Vicki L Krause, Peter G Markey","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>In June 2015, an outbreak of salmonellosis occurred among people who had eaten at a restaurant in Darwin, Northern Territory over 2 consecutive nights. We conducted a retrospective cohort study of diners who ate at the restaurant on 19 and 20 June 2015. Diners were telephoned and a questionnaire recorded symptoms and menu items consumed. An outbreak case was defined as anyone with laboratory confirmed Salmonella Typhimurium PT9 (STm9) or a clinically compatible illness after eating at the restaurant. Environmental health officers inspected the premises and collected food samples. We contacted 79/83 of the cohort (response rate 95%); 21 were cases (attack rate 27%), and 9 had laboratory confirmed STm9 infection. The most commonly reported symptoms were diarrhoea (100%), abdominal pain (95%), fever (95%) and nausea (95%). Fifteen people sought medical attention and 7 presented to hospital. The outbreak was most likely caused by consumption of duck prosciutto, which was consumed by all cases (OR 18.6, CI 3.0-∞, P < 0.01) and was prepared on site. Salmonella was not detected in any food samples but a standard plate count of 2 x 10<sup>7</sup> colony forming units per gram on samples of duck prosciutto demonstrated bacterial contamination. The restaurant used inappropriate methodology for curing the duck prosciutto. Restaurants should consider purchasing pre-made cured meats, or if preparing them on site, ensure that they adhere to safe methods of production.</p>","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E16-E20"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gulam Khandaker, Frank H Beard, Aditi Dey, Chris Coulter, Alexandra J Hendry, Kristine K Macartney
Background: bacille Calmette-Guérin (BCG) immunisation programs in Australia are funded and operated by the individual states and territories. In recent years BCG vaccine shortages have required use of unregistered products. We aimed to evaluate BCG immunisation programs in Australia, with particular reference to program implementation and national consistency. Methods: Between September and November 2015, 12 key stakeholders, representing Australian states and territories, completed surveys. We analysed BCG vaccination coverage data from the Australian Childhood Immunisation Register (ACIR), and data on adverse events following immunisation (AEFI) with BCG vaccine from the Therapeutic Goods Administration's Adverse Drug Reactions System, for 2001 to 2014. Results: Access to BCG vaccination varies between jurisdictions, with some states providing this only in major city locations. Analysis of ACIR data suggests significant differences in vaccine delivery between jurisdictions, but varying levels of under-reporting to the ACIR were also acknowledged. The rate of BCG AEFI appeared to increase between 2011 and 2014; however, these data need to be interpreted with caution due to small numbers, likely under-reporting of both numerator (AEFI) and denominator (vaccine doses administered), and the general increase in reporting of AEFI related to other vaccines in children over this period. Conclusions: BCG immunisation programs aim to prevent severe forms of tuberculosis in young children who live in or travel to high burden settings. A range of factors, particularly inconsistent vaccine supply are leading to low, variable and inequitable vaccine delivery across Australian jurisdictions. Improved BCG vaccination uptake and AEFI data quality are required for accurate monitoring of program delivery and vaccine safety - this is particularly important given the current need to use unregistered vaccines. Improved and consistent access to BCG vaccine is suggested to optimise equity for at-risk children Australia-wide.
{"title":"Evaluation of bacille Calmette-Guérin immunisation programs in Australia.","authors":"Gulam Khandaker, Frank H Beard, Aditi Dey, Chris Coulter, Alexandra J Hendry, Kristine K Macartney","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>bacille Calmette-Guérin (BCG) immunisation programs in Australia are funded and operated by the individual states and territories. In recent years BCG vaccine shortages have required use of unregistered products. We aimed to evaluate BCG immunisation programs in Australia, with particular reference to program implementation and national consistency.\u2029 Methods: Between September and November 2015, 12 key stakeholders, representing Australian states and territories, completed surveys. We analysed BCG vaccination coverage data from the Australian Childhood Immunisation Register (ACIR), and data on adverse events following immunisation (AEFI) with BCG vaccine from the Therapeutic Goods Administration's Adverse Drug Reactions System, for 2001 to 2014.\u2029 Results: Access to BCG vaccination varies between jurisdictions, with some states providing this only in major city locations. Analysis of ACIR data suggests significant differences in vaccine delivery between jurisdictions, but varying levels of under-reporting to the ACIR were also acknowledged. The rate of BCG AEFI appeared to increase between 2011 and 2014; however, these data need to be interpreted with caution due to small numbers, likely under-reporting of both numerator (AEFI) and denominator (vaccine doses administered), and the general increase in reporting of AEFI related to other vaccines in children over this period.\u2029 Conclusions: BCG immunisation programs aim to prevent severe forms of tuberculosis in young children who live in or travel to high burden settings. A range of factors, particularly inconsistent vaccine supply are leading to low, variable and inequitable vaccine delivery across Australian jurisdictions. Improved BCG vaccination uptake and AEFI data quality are required for accurate monitoring of program delivery and vaccine safety - this is particularly important given the current need to use unregistered vaccines. Improved and consistent access to BCG vaccine is suggested to optimise equity for at-risk children Australia-wide.</p>","PeriodicalId":51669,"journal":{"name":"Communicable Diseases Intelligence","volume":"41 1","pages":"E33-E48"},"PeriodicalIF":2.5,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34892642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}