50
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Seroprevalence and Risk Factors for Coxiella burnetii (Q Fever) Seropositivity in Dairy Goat Farmers' Households in The Netherlands, 2009–2010

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Community Q fever epidemics occurred in the Netherlands in 2007–2009, with dairy goat and dairy sheep farms as the implicated source. The aim of the study was to determine the seroprevalence and risk factors for seropositivity in dairy goat farmers and their household members living or working on these farms. Sera of 268 people living or working on 111 dairy goat farms were tested for Coxiella burnetii IgG and IgM antibodies using immunofluorescence assay. Seroprevalences in farmers, spouses and children (12–17 years) were 73.5%, 66.7%, and 57.1%, respectively. Risk factors for seropositivity were: performing three or more daily goat-related tasks, farm location in the two southern provinces of the country, proximity to bulk milk-positive farms, distance from the nearest stable to residence of 10 meters or less, presence of cats and multiple goat breeds in the stable, covering stable air spaces and staff not wearing farm boots. Goat farmers have a high risk to acquire this occupational infection. Clinicians should consider Q fever in this population presenting with compatible symptoms to allow timely diagnosis and treatment to prevent severe sequelae. Based on the risk factors identified, strengthening general biosecurity measures is recommended such as consistently wearing boots and protective clothing by farm staff to avoid indirect transmission and avoiding access of companion animals in the goat stable. Furthermore, it provides an evidence base for continuation of the current vaccination policy for small ruminants, preventing spread from contaminated farms to other farms in the vicinity. Finally, vaccination of seronegative farmers and household members could be considered.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Wind in November, Q Fever in December

          Q fever is a worldwide zoonosis caused by Coxiella burnetii, an obligate intracellular bacteria which lives in the phagolysosomes of the host cell. The main characteristic of Q fever is its clinical polymorphism. Acute cases, which are symptomatic in less than 50%, generally manifest as an insolated fever or a flulike syndrome that may be accompanied by granulomatous hepatitis, pneumonia, or meningoencephalitis ( 1 ). Cases with febrile eruptions, myocarditis, and pericarditis have also been reported ( 2 ); the various clinical manifestations may depend on host factors ( 2 ). In chronic Q fever, endocarditis is the primary sign ( 3 ), although osteomyelitis, infections of vascular grafts or aneurisms ( 4 ), and pregnancy complications ( 5 ) have also been reported. Thus, a serologic confirmation is required for the diagnosis of Q fever. Throughout the world, the most common reservoirs of C. burnetii are cattle, sheep, and goats ( 6 ); the bacterium is found in urine, feces, milk, and birth products of infected animals ( 7 ). Also, infected cats ( 8 ), rabbits ( 9 ), and dogs ( 10 ) can transmit C. burnetii to people. Human infections mainly occur after persons inhale contaminated aerosols and, rarely, after they ingest unpasteurized milk or cheese. The role of wind in aerosol transmission has been suggested since the 1950s ( 11 ). Two large outbreaks of Q fever have been studied extensively and have provided additional information about the disease’s epidemiology. In a British study ( 12 ), Q fever developed in persons who were exposed to contaminated straw, manure, and dust introduced by the vehicles that traveled along the road where these persons lived. In a Swiss study ( 13 ), Q fever also developed in 415 persons who lived on a valley road along which sheep were herded to mountain pastures. Table 1 summarizes the other main outbreaks reported over the last 20 years. Table 1 Primary Q fever outbreaks reported over the last 20 years Source Year Country No. of cases Reference Sheep 1981 USA 81 14 1982 UK 14 15 1983 Switzerland 415 13 1993 Italy 58 16 1996 Germany 45 17 1996 Germany 18 18 1996 France 204 19;20 Cattle 1982 USA 25 15 1996 Poland 25 21 Goats 1992 France 40 22 1998 Slovakia 113 23 2000 Canada 62 24 Cats 1984 Canada 13 25 1988 Canada 12 8 1989 USA 15 26 Rabbits 1986 Canada 4 9 Pigeons 2000 France 4 27 Dogs 1996 Canada 3 10 In a survey carried out from 1995 to 1997 ( 28 ), the study area (40 km northwest of Marseille) was shown to have an incidence of Q fever 5.4 times higher than that of the area of Marseille. This hyperendemicity could be due to wind blowing through an extensive sheep-rearing area before reaching the study area. The main peak of Q fever cases occurs in April and May in the disease-hyperendemic area, 1 month after the second lambing season, which takes place when the strongest winds blow. At the time of the main lambing, in October and November, the wind is infrequent, leading to a small number of Q fever cases. During the winter of 1998 to 1999, an unexpected number of cases were diagnosed in this area. Our study attempted to confirm our previous hypotheses by correlating this unusual winter peak of infections with unusual meteorologic events. Materials and Methods Serologic Diagnosis The serologic diagnosis of Q fever was performed at the National Reference Center by using the immunofluorescence reference technique as previously described ( 29 ). The titers of immunoglobulin (Ig) G, IgM, and IgA against phases I and II of C. burnetii were determined. A case of evolving Q fever (acute or chronic) was diagnosed when the phase II IgG titer was >200 and the phase II IgM titer was >50. A diagnosis of chronic Q fever was made when the phase I IgG titer was >800 (29). Demographic, Geographic, and Meteorologic Data Marseille is a city located in southern France with 1 million inhabitants. About 40 km northwest of Marseille is a large, natural, saltwater lake called "Etang de Berre" (Figure 1). Northwest of Etang de Berre is a 600-km2, semidesert plain region called "La Crau," which is the only steppe in Western Europe. La Crau is limited by the Alpilles Mountains (north), the Mediterranean Sea (south), the Etang de Berre (west), and the Rhône River (east). The irrigated northern area (humid Crau) is devoted to hay cultivation (120 km2), whereas the stony and dry southern part is devoted to sheep grazing. Figure 1 Etang de Berre area of France, showing the location of "La Crau" (sheep-breeding area), and the direction of the mistral wind. The black dots represent the human Q fever cases (places of residence). The white dots represent the 7 cases which occurred in December 1998 to January 1999. Data on sheep breeding were obtained from the "Chambre d’Agriculture" in Aix en Provence. These data included the approximate number of sheep and the features of sheep breeding in the area. Meteorologic data were obtained from the Meteo France weather station at Istres in the form of cumulative wind speed and direction compass cards from January 1996 to December 1999 and monthly compass cards and data sheets for November and December between 1996 and 1999. Wind speed and direction are measured every 3 hours, providing about 240 data points per month. The tables provided by Meteo France show the wind direction and speed in three meter per second (m/s) speed ranges of 2–4, 5–8, and >8. We considered only the mistral, which is the most common and strongest wind and blows for several consecutive days, in sunny and dry conditions. It mostly originates from between the west-northwest and the north and blows through La Crau before reaching the study area. Winds that occur in other local climatic conditions, such as rainfall and high humidity, come primarily come from other directions, mainly the east and south, and blow for short periods only. These winds were not considered in our study. Monthly cumulative precipitation data between 1996 and 1999 in Istres, and daily precipitation for October, November, and December, 1998 and 1999, were also obtained from Meteo France (www.meteo.fr). Using the serologic criteria described above, Coxiella burnetii–positive patients were identified from the database of the National Reference Center between 1996 and 1999. The eastern part of La Crau, along the Etang de Berre, was considered the study area. All patients had conditions diagnosed when they were inpatients or outpatients at the general hospital in Martigues or in private laboratories in the cities of Martigues, Fos-sur-Mer, Istres, Sausset-les-Pins, and Châteauneuf-les-Martigues (outpatients who were sent to the laboratory by their general practitioner). Medical practices in this area send all serum specimens for Q fever diagnosis to the National Reference Center or, if they test serum specimens by immunofluorescence with phase II antigen provided by the National Reference Center, send positive serum specimens to the center for confirmation. All serologic diagnoses of Q fever are therefore ultimately made at the National Reference Center with the reference serologic technique. Therefore, we may assume that all diagnosed cases are included in our database. For each patient with a diagnosis of Q fever, a questionnaire was filled out, which provided administrative, epidemiologic, clinical, and biologic data. Patient data were included in the study only if the patient’s place of residence (as recorded in the hospital or laboratory files) was in the study area. Statistical Analyses All data were managed by using EpiInfo 6 (Centers for Disease Control and Prevention, Atlanta, GA). Pearson’s chi square or two-tailed Fisher exact test was used to compare frequencies of qualitative data. A difference was considered significant when p 2 m/s, 59.4% of winds >5 m/s, and 80% of winds >8 m/s, which confirms the importance of the mistral in terms of frequency of occurrence and speed. To explain the unusual peak of Q fever cases in December 1998 and January 1999, we studied the wind frequencies 1 month before, i.e., in November and December. Table 2 shows the percentage of northwest wind for the three defined speed ranges, by year; p refers to the comparison between the year under consideration and 1998. In each speed range, the frequency of the mistral was higher in November and December 1998 than in any other year: for the speed range >2 m/s, it was 60.9% in November to December 1998, whereas it was 41.3, 40.5, and 52.4 in November to December 1996, 1997, and 1999, respectively. This unusual frequency was even more notable for the strongest winds (which are more consistent with the mistral), representing 93.5% of the wind in November to December 1998 but only 63.1%, 47.7%, and 85% in November to December 1996, 1997, and 1999, respectively. All these differences were statistically significant, except those between 1998 and 1999 in the speed range >5 m/s. Table 2 Northwest wind (mistral) in November and December 1996 to 1999, expressed as the percentage of measures for three wind speed ranges Years Northwest wind
>2 m/s (%) pa Northwest wind
>5 m/s (%) pa Northwest wind
>8 m/s (%) pa Nov–Dec 1996 41.3 <10–7 47.3 <10–7 63.1 <10–6 Nov–Dec 1997 40.5 <10–7 50.0 <10–7 47.7 <10–7 Nov–Dec 1998 60.9 76.9 93.5 Nov–Dec 1999 52.4 0.01 72.3 0.21 (NS)b 85.0 0.045 ap values refer to the comparison between the considered year and 1998.
bNS, not significant. In terms of precipitation (Figure 4), October and November 1999 were much more rainy (190.6 mm and 54.4 mm of rainfall, respectively) than October and November 1998 (34.8 mm and 14.2 mm, respectively). The rainfall amount of December 1999 (7.2 mm) was lower than that of December 1998 (56.8 mm). Exceptionally high amounts of precipitation (156.6 mm) were noted in October 1999. The global precipitation of December 1998, primarily depends on that of December 31 (43.4 mm of 56.8 mm). Figure 5 shows the mean monthly rainfall from 1995 to 1999. The main lambing in autumn occurs during the period of the most rainfall, whereas the spring secondary lambing occurs during a dry period. Figure 4 Rainfall (in mm) in October, November, and December 1996 to 1999 in Istres. Figure 5 Mean monthly rainfall in Istres (1995–1999). Discussion In our previous study, carried out in the same area, we showed a geographic and statistical relationship between the sheep densities, the incidence of Q fever, and the strong, local wind known as the mistral, which blows from the northwest ( 28 ). Although C. burnetii transmission is multifactorial, we speculated that the high incidence of Q fever in the study area was related to aerosol spread of organisms because the mistral blows through the local steppe where 70,000 sheep are bred (Figure 1). This study was designed to confirm this hypothesis and find an explanation for the unusual peak of Q fever cases that occurred during the winter of 1998 to 1999. We found that no changes occurred in medical practice or demographics of the region during the study period, and the Chambre of Agriculture and the veterinary services reported no unusual events in the sheep flocks in the region. Under these conditions, we have shown the following: 1) the incidence of Q fever was statistically higher in the period from December 1998 through January 1999 than in the same period in other years; 2) that the speed of the mistral, especially, was significantly higher in November to December 1998 than in other years. Our study has then shown that the increased frequency of the mistral blowing through La Crau after the main lambing season was associated with an unusual peak of Q fever cases in the study area 1 month later. However, Table 2 also shows that the mistral blew with increased frequency during the 1999 winter (although significantly less so than in 1998), without a significant increase in the incidence of Q fever cases. We suspect this might be related to variations in the conditions of C. burnetii transmission which are known to be strongly multifactorial. One of these factors seems to be rainfall, since the fall of 1998 was drier than that of other years, particularly that of 1999, when the mistral was also stronger than in the other 2 years. Moreover, we have shown that the main fall lambing takes place at a time when the mistral is unfrequent, and the environment is wet. On the contrary, the secondary spring lambing occurs at a time when a strong mistral blows, at a dry season, which enhances the aerosols. The role of wind in the aerosol transmission of C. burnetii has been suggested since the 1950s ( 11 ). The wind probably played a role in Q fever cases which occurred in northern Kent (United Kingdom) in people living and working near a fertilizer factory which received offal from abattoirs in Kent and Sussex ( 11 ). A small outbreak occurred in a kindergarten in France caused by aerosol transmission from cattle manure infected with C. burnetii applied to nearby pastures ( 30 ). An epidemic in people exposed to packing straw has been described in eastern Kent (United Kingdom) ( 11 ), and another epidemic occurred in workers exposed to dust from maize grain used as animal food ( 31 ). The role of wind has also been suspected in the infection of cotton (in fields or assembly areas) from neighboring sheep and cattle pastures ( 32 ). More recently, the role of wind was assessed in a large outbreak in Birmingham (United Kingdom) in 1989. A case-control study (26 case-patients and 52 matched controls) produced no evidence that direct contact with animals or animal products had caused the outbreak. The epidemic curve suggested a point source exposure in the week beginning April 10. The home addresses of case-patients were clustered in a rectangle-shaped area, 11 miles (18.3 km) north/south by 4 miles (6.7 km) east/west, and attack rates became lower toward the north. Directly south of this area was a region containing farms where outdoor lambing and calving took place, a potent source of C. burnetii spores. A retrospective computerized analysis showed that the geographic distribution of cases was associated with a source in this area (p < 0.00001). On 11 April, unusual southerly gales of up to 78 mph (130 km/h) were recorded. The probable cause of the outbreak was windborne spread of C. burnetii spores from farmland to more settled areas ( 33 ). The role of wind, however, was excluded in a study conducted from 1996 to 2000 in French Guiana ( 34 ). In the study of a 1987 outbreak in a Somerset (United Kingdom) secondary school, the high prevalence of unexplained infections was suspected of being related to the spread of organisms, either windborne or in straw or manure ( 35 ). In Germany, 40 outbreaks of human Q fever were documented from 1947 to 1999 ( 36 ). Sheep were implicated in the transmission in at least 24 outbreaks. Dry weather or wind blowing from areas where sheep were located to inhabited areas likely contributed to at least 14 episodes. Evidence is now accumulating that wind is an epidemiologic factor in Q fever outbreaks occurring near sheep-rearing areas. It is a factor that can only be monitored and not prevented. Some preventive measures could be of interest in terms of public health: serologic testing and vaccinating sheep, indoor lambing, and appropriate disposal of placentas and litter. However, the feasibility of such measures in France in general and particularly in La Crau is low: Q fever is not a veterinarian-reportable disease, so testing (in cases of abortion) is carried out on request and must be paid by the farmer. An effective phase I animal vaccine is not yet available in France. Although indoor lambing is not possible in such an extensive breeding area, due to the lack of sheepfolds, recommendations have been made on proper disposal of placentas (they should not be left on the ground where they dry up, but properly collected and incinerated). This is possible only when lambing occurs in the presence of farmers. Many other personal and behavioral factors may be involved that would be preventable. Further studies are needed to identify and confirm such preventable risk factors.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The 2007–2010 Q fever epidemic in The Netherlands: characteristics of notified acute Q fever patients and the association with dairy goat farming.

            We describe the Q fever epidemic in the Netherlands with emphasis on the epidemiological characteristics of acute Q fever patients and the association with veterinary factors. Data from 3264 notifications for acute Q fever in the period from 2007 through 2009 were analysed. The patients most affected were men, smokers and persons aged 40–60 years. Pneumonia was the most common clinical presentation (62% in 2007 and 2008). Only 3.2% of the patients were working in the agriculture sector and 0.5% in the meat-processing industry including abattoirs. Dairy goat farms with Coxiella burnetii-induced abortion waves were mainly located in the same area where human cases occurred. Airborne transmission of contaminated dust particles from commercial dairy goat farms in densely populated areas has probably caused this epidemic. In 2010, there was a sharp decline in the number of notified cases following the implementation of control measures on dairy goat and sheep farms such as vaccination, hygiene measures and culling of pregnant animals on infected farms. In combination with a rise in the human population with antibodies against C. burnetii, these have most likely ended the outbreak. Development of chronic Q fever in infected patients remains an important problem for years to come.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              The use of a geographic information system to identify a dairy goat farm as the most likely source of an urban Q-fever outbreak

              Background A Q-fever outbreak occurred in an urban area in the south of the Netherlands in May 2008. The distribution and timing of cases suggested a common source. We studied the spatial relationship between the residence locations of human cases and nearby small ruminant farms, of which one dairy goat farm had experienced abortions due to Q-fever since mid April 2008. A generic geographic information system (GIS) was used to develop a method for source detection in the still evolving major epidemic of Q-fever in the Netherlands. Methods All notified Q-fever cases in the area were interviewed. Postal codes of cases and of small ruminant farms (size >40 animals) located within 5 kilometres of the cluster area were geo-referenced as point locations in a GIS-model. For each farm, attack rates and relative risks were calculated for 5 concentric zones adding 1 kilometre at a time, using the 5-10 kilometres zone as reference. These data were linked to the results of veterinary investigations. Results Persons living within 2 kilometres of an affected dairy goat farm (>400 animals) had a much higher risk for Q-fever than those living more than 5 kilometres away (Relative risk 31.1 [95% CI 16.4-59.1]). Conclusions The study supported the hypothesis that a single dairy goat farm was the source of the human outbreak. GIS-based attack rate analysis is a promising tool for source detection in outbreaks of human Q-fever.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                27 July 2012
                : 7
                : 7
                : e42364
                Affiliations
                [1 ]Centre for Infectious Disease Control, National Institute for Public Health and The Environment, Bilthoven, The Netherlands
                [2 ]Academic Collaborative Centre AMPHI, Department of Primary and Community Care, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
                [3 ]Department of Medical Microbiology and Infection Control, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
                [4 ]Department of Small Ruminant Health, Animal Health Service, Deventer, The Netherlands
                University of São Paulo, Brazil
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: BS YD. Performed the experiments: BS AL PS YD. Analyzed the data: BS AL YD. Contributed reagents/materials/analysis tools: BS AL PS HA PV JH YD. Wrote the paper: BS AL PS HA PV JH YD.

                Article
                PONE-D-12-08409
                10.1371/journal.pone.0042364
                3407076
                22848762
                b6a43261-dd88-440f-9655-49d8e8577cd1
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 March 2012
                : 4 July 2012
                Page count
                Pages: 10
                Funding
                The study was funded by the Netherlands organisation for health research and development, and co-financed by the Ministery of Public Health and the Ministry of Agriculture. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Microbiology
                Applied Microbiology
                Emerging Infectious Diseases
                Medicine
                Epidemiology
                Infectious Disease Epidemiology
                Infectious Diseases
                Infectious Disease Control
                Zoonoses
                Public Health
                Occupational and Industrial Health
                Veterinary Science
                Animal Types
                Small Animals
                Veterinary Diseases
                Veterinary Virology
                Veterinary Medicine
                Livestock Care

                Uncategorized
                Uncategorized

                Comments

                Comment on this article