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11. Residential exposure to microbial emissions from livestock farms: Implementation and evaluation of land use regression and random forest spatial models

Author

IRAS OH Epidemiology Microbial Agents, One Health Microbieel, Dep Population Health Sciences, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, IRAS – One Health Microbial, Hewitt, Beatrice Cornu, Smit, Lidwien A M, Kersen, Warner van, Wouters, Inge M., Heederik, Dick J.J., Kerckhoffs, Jules, Hoek, Gerard, Rooij, Myrna M.T. de, IRAS OH Epidemiology Microbial Agents, One Health Microbieel, Dep Population Health Sciences, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, IRAS – One Health Microbial, Hewitt, Beatrice Cornu, Smit, Lidwien A M, Kersen, Warner van, Wouters, Inge M., Heederik, Dick J.J., Kerckhoffs, Jules, Hoek, Gerard, and Rooij, Myrna M.T. de

Published
2024

12. Dietary strategies can increase cloacal endotoxin levels and modulate the resident microbiota in broiler chickens

Author

IRAS OH Epidemiology Microbial Agents, IRAS – One Health Microbial, Perricone, Vera, Schokker, Dirkjan, Bossers, Alex, de Bruijn, Anne, Kar, Soumya K, Te Pas, Marinus F W, Rebel, Johanna M J, Wouters, Inge M, de Jong, Ingrid C, IRAS OH Epidemiology Microbial Agents, IRAS – One Health Microbial, Perricone, Vera, Schokker, Dirkjan, Bossers, Alex, de Bruijn, Anne, Kar, Soumya K, Te Pas, Marinus F W, Rebel, Johanna M J, Wouters, Inge M, and de Jong, Ingrid C

Published
2024

13. Short-term residential exposure to endotoxin emitted from livestock farms in relation to lung function in non-farming residents

Author

IRAS OH Epidemiology Microbial Agents, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, IRAS – One Health Microbial, de Rooij, Myrna M T, Erbrink, Hans J, Smit, Lidwien A M, Wouters, Inge M, Hoek, Gerard, Heederik, Dick J J, IRAS OH Epidemiology Microbial Agents, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, IRAS – One Health Microbial, de Rooij, Myrna M T, Erbrink, Hans J, Smit, Lidwien A M, Wouters, Inge M, Hoek, Gerard, and Heederik, Dick J J

Published
2024

18. High Coxiella burnetii Seroconversion Rate in Veterinary Students, the Netherlands, 2006-2010

Author

de Lange, Marit M.A., van der Hoek, Wim, Schneeberger, Peter M., Swart, Arno, Heederik, Dick J.J., Schimmer, Barbara, and Wouters, Inge M.

Subjects
Antigen-antibody reactions -- Health aspects, Q fever -- Risk factors, Medical students -- Statistics -- Health aspects, Rickettsiales infections -- Statistics -- Diagnosis, Health
Abstract

Qfever is caused by the bacteria Coxiella burnetii and can manifest as acute or chronic illness. Veterinarians who care for livestock are prone to C. burnetii infection (1,2). A high [...]

Published
2020
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19. Indoor Airborne Microbiome and Endotoxin: Meteorological Events and Occupant Characteristics Are Important Determinants

Author

Amin, Hesham, primary, Šantl-Temkiv, Tina, additional, Cramer, Christine, additional, Finster, Kai, additional, Real, Francisco Gomez, additional, Gislason, Thorarinn, additional, Holm, Mathias, additional, Janson, Christer, additional, Jögi, Nils Oskar, additional, Jogi, Rain, additional, Malinovschi, Andrei, additional, Marshall, Ian P. G., additional, Modig, Lars, additional, Norbäck, Dan, additional, Shigdel, Rajesh, additional, Sigsgaard, Torben, additional, Svanes, Cecilie, additional, Thorarinsdottir, Hulda, additional, Wouters, Inge M., additional, Schlünssen, Vivi, additional, and Bertelsen, Randi J., additional

Published
2023
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21. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks

Author

Demenais, Florence, Margaritte-Jeannin, Patricia, Barnes, Kathleen C., Cookson, William O. C., Altmüller, Janine, Ang, Wei, Barr, R. Graham, Beaty, Terri H., Becker, Allan B., Beilby, John, Bisgaard, Hans, Bjornsdottir, Unnur Steina, Bleecker, Eugene, Bønnelykke, Klaus, Boomsma, Dorret I., Bouzigon, Emmanuelle, Brightling, Christopher E., Brossard, Myriam, Brusselle, Guy G., Burchard, Esteban, Burkart, Kristin M., Bush, Andrew, Chan-Yeung, Moira, Chung, Kian Fan, Couto Alves, Alexessander, Curtin, John A., Custovic, Adnan, Daley, Denise, de Jongste, Johan C., Del-Rio-Navarro, Blanca E., Donohue, Kathleen M., Duijts, Liesbeth, Eng, Celeste, Eriksson, Johan G., Farrall, Martin, Fedorova, Yuliya, Feenstra, Bjarke, Ferreira, Manuel A., Freidin, Maxim B., Gajdos, Zofia, Gauderman, Jim, Gehring, Ulrike, Geller, Frank, Genuneit, Jon, Gharib, Sina A., Gilliland, Frank, Granell, Raquel, Graves, Penelope E., Gudbjartsson, Daniel F., Haahtela, Tari, Heckbert, Susan R., Heederik, Dick, Heinrich, Joachim, Heliövaara, Markku, Henderson, John, Himes, Blanca E., Hirose, Hiroshi, Hirschhorn, Joel N., Hofman, Albert, Holt, Patrick, Hottenga, Jouke, Hudson, Thomas J., Hui, Jennie, Imboden, Medea, Ivanov, Vladimir, Jaddoe, Vincent W. V., James, Alan, Janson, Christer, Jarvelin, Marjo-Riitta, Jarvis, Deborah, Jones, Graham, Jonsdottir, Ingileif, Jousilahti, Pekka, Kabesch, Michael, Kähönen, Mika, Kantor, David B., Karunas, Alexandra S., Khusnutdinova, Elza, Koppelman, Gerard H., Kozyrskyj, Anita L., Kreiner, Eskil, Kubo, Michiaki, Kumar, Rajesh, Kumar, Ashish, Kuokkanen, Mikko, Lahousse, Lies, Laitinen, Tarja, Laprise, Catherine, Lathrop, Mark, Lau, Susanne, Lee, Young-Ae, Lehtimäki, Terho, Letort, Sébastien, Levin, Albert M., Li, Guo, Liang, Liming, Loehr, Laura R., London, Stephanie J., Loth, Daan W., Manichaikul, Ani, Marenholz, Ingo, Martinez, Fernando J., Matheson, Melanie C., Mathias, Rasika A., Matsumoto, Kenji, Mbarek, Hamdi, McArdle, Wendy L., Melbye, Mads, Melén, Erik, Meyers, Deborah, Michel, Sven, Mohamdi, Hamida, Musk, Arthur W., Myers, Rachel A., Nieuwenhuis, Maartje A. E., Noguchi, Emiko, O’Connor, George T., Ogorodova, Ludmila M., Palmer, Cameron D., Palotie, Aarno, Park, Julie E., Pennell, Craig E., Pershagen, Göran, Polonikov, Alexey, Postma, Dirkje S., Probst-Hensch, Nicole, Puzyrev, Valery P., Raby, Benjamin A., Raitakari, Olli T., Ramasamy, Adaikalavan, Rich, Stephen S., Robertson, Colin F., Romieu, Isabelle, Salam, Muhammad T., Salomaa, Veikko, Schlünssen, Vivi, Scott, Robert, Selivanova, Polina A., Sigsgaard, Torben, Simpson, Angela, Siroux, Valérie, Smith, Lewis J., Solodilova, Maria, Standl, Marie, Stefansson, Kari, Strachan, David P., Stricker, Bruno H., Takahashi, Atsushi, Thompson, Philip J., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiesler, Carla M. T., Torgerson, Dara G., Tsunoda, Tatsuhiko, Uitterlinden, André G., van der Valk, Ralf J. P., Vaysse, Amaury, Vedantam, Sailaja, von Berg, Andrea, von Mutius, Erika, Vonk, Judith M., Waage, Johannes, Wareham, Nick J., Weiss, Scott T., White, Wendy B., Wickman, Magnus, Widén, Elisabeth, Willemsen, Gonneke, Williams, L. Keoki, Wouters, Inge M., Yang, James J., Zhao, Jing Hua, Moffatt, Miriam F., Ober, Carole, and Nicolae, Dan L.

Published
2018
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22. Detection of SARS-CoV-2 in Air and on Surfaces in Rooms of Infected Nursing Home Residents

Author

IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, Linde, Kimberly J, Wouters, Inge M, Kluytmans, Jan A J W, Kluytmans-van den Bergh, Marjolein F Q, Pas, Suzan D, Koopmans, Marion P G, GeurtsvanKessel, Corine H, Meier, Melanie, Meijer, Patrick, Raben, Ceder R, Spithoven, Jack, Tersteeg-Zijderveld, Monique H G, COCON Consortium, Heederik, Dick J J, Dohmen, Wietske, IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, Linde, Kimberly J, Wouters, Inge M, Kluytmans, Jan A J W, Kluytmans-van den Bergh, Marjolein F Q, Pas, Suzan D, Koopmans, Marion P G, GeurtsvanKessel, Corine H, Meier, Melanie, Meijer, Patrick, Raben, Ceder R, Spithoven, Jack, Tersteeg-Zijderveld, Monique H G, COCON Consortium, Heederik, Dick J J, and Dohmen, Wietske

Published
2023

23. Ventilation and thermal conditions in secondary schools in the Netherlands: Effects of COVID-19 pandemic control and prevention measures

Author

IRAS OH Epidemiology Microbial Agents, Ding, Er, Zhang, Dadi, Hamida, Amneh, García-Sánchez, Clara, Jonker, Lotte, de Boer, Annemarijn R, Bruijning, Patricia C J L, Linde, Kimberly J, Wouters, Inge M, Bluyssen, Philomena M, IRAS OH Epidemiology Microbial Agents, Ding, Er, Zhang, Dadi, Hamida, Amneh, García-Sánchez, Clara, Jonker, Lotte, de Boer, Annemarijn R, Bruijning, Patricia C J L, Linde, Kimberly J, Wouters, Inge M, and Bluyssen, Philomena M

Published
2023

24. Optimization of bacterial DNA and endotoxin extraction from settled airborne dust

Author

IRAS OH Epidemiology Microbial Agents, Amin, Hesham, Marshall, Ian P G, Bertelsen, Randi J, Wouters, Inge M, Schlünssen, Vivi, Sigsgaard, Torben, Šantl-Temkiv, Tina, IRAS OH Epidemiology Microbial Agents, Amin, Hesham, Marshall, Ian P G, Bertelsen, Randi J, Wouters, Inge M, Schlünssen, Vivi, Sigsgaard, Torben, and Šantl-Temkiv, Tina

Published
2023

25. Ventilation and thermal conditions in secondary schools in the Netherlands: Effects of COVID-19 pandemic control and prevention measures

Author

Ding, Er (author), Zhang, D. (author), Hamida, A.B. (author), Garcia Sanchez, C. (author), Jonker, Lotte (author), de Boer, Annemarijn R. (author), Bruijning, Patricia C.J.L. (author), Linde, Kimberly J. (author), Wouters, Inge M. (author), Bluyssen, P.M. (author), Ding, Er (author), Zhang, D. (author), Hamida, A.B. (author), Garcia Sanchez, C. (author), Jonker, Lotte (author), de Boer, Annemarijn R. (author), Bruijning, Patricia C.J.L. (author), Linde, Kimberly J. (author), Wouters, Inge M. (author), and Bluyssen, P.M. (author)

Abstract

During the COVID-19 pandemic, the importance of ventilation was widely stressed and new protocols of ventilation were implemented in school buildings worldwide. In the Netherlands, schools were recommended to keep the windows and doors open, and after a national lockdown more stringent measures such as reduction of occupancy were introduced. In this study, the actual effects of such measures on ventilation and thermal conditions were investigated in 31 classrooms of 11 Dutch secondary schools, by monitoring the indoor and outdoorCO2 concentration and air temperature, both before and after the lockdown. Ventilation rates were calculated using the steady-state method. Pre-lockdown, with an average occupancy of 17 students, in 42% of the classrooms the CO2 concentration exceeded the upper limit of the Dutch national guidelines (800 ppm above outdoors),while 13% had a ventilation rate per person (VRp) lower than the minimum requirement (6 l/s/p). Post lockdown, the indoor CO2 concentration decreased significantly while for ventilation rates significant increase was only found in VRp, mainly caused by the decrease in occupancy (average 10 students). The total ventilation rate per classrooms, mainly induced by opening windows and doors, did not change significantly. Meanwhile, according to the Dutch national guidelines, thermal conditions in the classrooms were not satisfying, both pre and post-lockdown. While opening windows and doors cannot achieve the required indoor environmental quality at all times, reducing occupancy might not be feasible for immediate implementation. Hence, more controllable and flexible ways for improving indoor air quality and thermal comfort in classrooms are needed., Indoor Environment, Urban Data Science

Published
2023
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26. Indoor Airborne Microbiome and Endotoxin: Meteorological Events and Occupant Characteristics Are Important Determinants

Author

IRAS OH Epidemiology Microbial Agents, IRAS – One Health Microbial, Amin, Hesham, Šantl-Temkiv, Tina, Cramer, Christine, Finster, Kai, Real, Francisco Gomez, Gislason, Thorarinn, Holm, Mathias, Janson, Christer, Jögi, Nils Oskar, Jogi, Rain, Malinovschi, Andrei, Marshall, Ian P G, Modig, Lars, Norbäck, Dan, Shigdel, Rajesh, Sigsgaard, Torben, Svanes, Cecilie, Thorarinsdottir, Hulda, Wouters, Inge M, Schlünssen, Vivi, Bertelsen, Randi J, IRAS OH Epidemiology Microbial Agents, IRAS – One Health Microbial, Amin, Hesham, Šantl-Temkiv, Tina, Cramer, Christine, Finster, Kai, Real, Francisco Gomez, Gislason, Thorarinn, Holm, Mathias, Janson, Christer, Jögi, Nils Oskar, Jogi, Rain, Malinovschi, Andrei, Marshall, Ian P G, Modig, Lars, Norbäck, Dan, Shigdel, Rajesh, Sigsgaard, Torben, Svanes, Cecilie, Thorarinsdottir, Hulda, Wouters, Inge M, Schlünssen, Vivi, and Bertelsen, Randi J

Published
2023

27. Childhood lower respiratory tract infections linked to residential airborne bacterial and fungal microbiota

Author

IRAS OH Epidemiology Microbial Agents, IRAS – One Health Microbial, Fakunle, Adekunle G, Jafta, Nkosana, Bossers, Alex, Wouters, Inge M, Kersen, Warner van, Naidoo, Rajen N, Smit, Lidwien A M, IRAS OH Epidemiology Microbial Agents, IRAS – One Health Microbial, Fakunle, Adekunle G, Jafta, Nkosana, Bossers, Alex, Wouters, Inge M, Kersen, Warner van, Naidoo, Rajen N, and Smit, Lidwien A M

Published
2023

28. A comparison of passive and active dust sampling methods for measuring airborne methicillin-resistant Staphylococcus aureus in pig farms

Author

IRAS OH Epidemiology Microbial Agents, Klinische infectiologie en microb. lab., One Health Microbieel, IRAS – One Health Microbial, Infectious Diseases and Immunology - KLIF, Rittscher, Anne E, Vlasblom, Abel A, Duim, Birgitta, Scherpenisse, Peter, van Schothorst, Isabella J, Wouters, Inge M, Van Gompel, Liese, Smit, Lidwien A M, IRAS OH Epidemiology Microbial Agents, Klinische infectiologie en microb. lab., One Health Microbieel, IRAS – One Health Microbial, Infectious Diseases and Immunology - KLIF, Rittscher, Anne E, Vlasblom, Abel A, Duim, Birgitta, Scherpenisse, Peter, van Schothorst, Isabella J, Wouters, Inge M, Van Gompel, Liese, and Smit, Lidwien A M

Published
2023

29. Detection of SARS-CoV-2 in Air and on Surfaces in Rooms of Infected Nursing Home Residents

Author

Linde, Kimberly J, Wouters, Inge M, Kluytmans, Jan A J W, Kluytmans-van den Bergh, Marjolein F Q, Pas, Suzan D, Koopmans, Marion P G, GeurtsvanKessel, Corine H, Meier, Melanie, Meijer, Patrick, Raben, Ceder R, Spithoven, Jack, Tersteeg-Zijderveld, Monique H G, COCON Consortium, Heederik, Dick J J, Dohmen, Wietske, IRAS OH Epidemiology Microbial Agents, and Faculteit Diergeneeskunde

Subjects
Medicine(all), nursing home, SARS-CoV-2, surface, air levels
Abstract

There is an ongoing debate on airborne transmission of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a risk factor for infection. In this study, the level of SARS-CoV-2 in air and on surfaces of SARS-CoV-2 infected nursing home residents was assessed to gain insight in potential transmission routes. During outbreaks, air samples were collected using three different active and one passive air sampling technique in rooms of infected patients. Oropharyngeal swabs (OPS) of the residents and dry surface swabs were collected. Additionally, longitudinal passive air samples were collected during a period of 4 months in common areas of the wards. Presence of SARS-CoV-2 RNA was determined using RT-qPCR, targeting the RdRp- and E-genes. OPS, samples of two active air samplers and surface swabs with Ct-value ≤35 were tested for the presence of infectious virus by cell culture. In total, 360 air and 319 surface samples from patient rooms and common areas were collected. In rooms of 10 residents with detected SARS-CoV-2 RNA in OPS, SARS-CoV-2 RNA was detected in 93 of 184 collected environmental samples (50.5%) (lowest Ct 29.5), substantially more than in the rooms of residents with negative OPS on the day of environmental sampling (n = 2) (3.6%). SARS-CoV-2 RNA was most frequently present in the larger particle size fractions [>4 μm 60% (6/10); 1-4 μm 50% (5/10)

Published
2023

30. Assessment of Indoor Air Quality for Group-Housed Macaques (Macaca spp.)

Author

Maaskant, Annemiek, Janssen, Isabel, Wouters, Inge M, Eerdenburg, Frank J C M van, Remarque, Edmond J, Langermans, Jan A M, Bakker, Jaco, AISS LAS/3'R Centre ULS, IRAS OH Epidemiology Microbial Agents, FAH veterinaire epidemiologie, AISS LAS/3'R Centre ULS, IRAS OH Epidemiology Microbial Agents, and FAH veterinaire epidemiologie

Subjects
endotoxin, General Veterinary, airborne fungi, ventilation rate, non-human primate, dust, ammonia, humidity, air quality, Animal Science and Zoology
Abstract

Indoor Air Quality (IAQ) is strongly associated with animal health and wellbeing. To identify possible problems of the indoor environment of macaques (Macaca spp.), we assessed the IAQ. The temperature (°C), relative humidity (%) and concentrations of inhalable dust (mg/m3), endotoxins (EU/m3), ammonia (ppm) and fungal aerosols were measured at stationary fixed locations in indoor enclosures of group-housed rhesus (Macaca mulatta) and cynomolgus macaques (Macaca fascicularis). In addition, the personal exposure of caretakers to inhalable dust and endotoxins was measured and evaluated. Furthermore, the air circulation was assessed with non-toxic smoke, and the number of times the macaques sneezed was recorded. The indoor temperature and relative humidity for both species were within comfortable ranges. The geometric mean (GM) ammonia, dust and endotoxin concentrations were 1.84 and 0.58 ppm, 0.07 and 0.07 mg/m3, and 24.8 and 6.44 EU/m3 in the rhesus and cynomolgus macaque units, respectively. The GM dust concentrations were significantly higher during the daytime than during the nighttime. Airborne fungi ranged between 425 and 1877 CFU/m3. Personal measurements on the caretakers showed GM dust and endotoxin concentrations of 4.2 mg/m3 and 439.0 EU/m3, respectively. The number of sneezes and the IAQ parameters were not correlated. The smoke test revealed a suboptimal air flow pattern. Although the dust, endotoxins and ammonia were revealed to be within accepted human threshold limit values (TLV), caretakers were exposed to dust and endotoxin levels exceeding existing occupational reference values.

Published
2022

31. Determinants for antimicrobial resistance genes in farm dust on 333 poultry and pig farms in nine European countries

Author

Luiken, Roosmarijn Ec, Heederik, Dick Jj, Scherpenisse, Peter, Van Gompel, Liese, van Heijnsbergen, Eri, Greve, Gerdit D, Jongerius-Gortemaker, Betty Gm, Tersteeg-Zijderveld, Monique Hg, Fischer, Jennie, Juraschek, Katharina, Skarżyńska, Magdalena, Zając, Magdalena, Wasyl, Dariusz, EFFORT Group, Wagenaar, Jaap A, Smit, Lidwien Am, Wouters, Inge M, Mevius, Dik J, Schmitt, Heike, Klinische infectiologie en microb. lab., dIRAS RA-I&I I&I, Faculteit Diergeneeskunde, IRAS OH Epidemiology Microbial Agents, dIRAS RA-I&I RA, LS IRAS EEPI GRA (Gezh.risico-analyse), One Health Microbieel, and dI&I I&I-4

Subjects
Pig, Livestock, Risk factors, Environmental Science(all), Dust, Environment, Antimicrobial resistance, Biochemistry, Poultry, One health
Abstract

Livestock feces with antimicrobial resistant bacteria reaches the farm floor, manure pit, farm land and wider environment by run off and aerosolization. Little research has been done on the role of dust in the spread of antimicrobial resistance (AMR) in farms. Concentrations and potential determinants of antimicrobial resistance genes (ARGs) in farm dust are at present not known. Therefore in this study absolute ARG levels, representing the levels people and animals might be exposed to, and relative abundances of ARGs, representing the levels in the bacterial population, were quantified in airborne farm dust using qPCR. Four ARGs were determined in 947 freshly settled farm dust samples, captured with electrostatic dustfall collectors (EDCs), from 174 poultry (broiler) and 159 pig farms across nine European countries. By using linear mixed modeling, associations with fecal ARG levels, antimicrobial use (AMU) and farm and animal related parameters were determined. Results show similar relative abundances in farm dust as in feces and a significant positive association (ranging between 0.21 and 0.82) between the two reservoirs. AMU in pigs was positively associated with ARG abundances in dust from the same stable. Higher biosecurity standards were associated with lower relative ARG abundances in poultry and higher relative ARG abundances in pigs. Lower absolute ARG levels in dust were driven by, among others, summer season and certain bedding materials for poultry, and lower animal density and summer season for pigs. This study indicates different pathways that contribute to shaping the dust resistome in livestock farms, related to dust generation, or affecting the bacterial microbiome. Farm dust is a large reservoir of ARGs from which transmission to bacteria in other reservoirs can possibly occur. The identified determinants of ARG abundances in farm dust can guide future research and potentially farm management policy.

Published
2022

32. A comparison of passive and active dust sampling methods for measuring airborne methicillin-resistant Staphylococcus aureusin pig farms

Author

Rittscher, Anne E, Vlasblom, Abel A, Duim, Birgitta, Scherpenisse, Peter, van Schothorst, Isabella J, Wouters, Inge M, Van Gompel, Liese, and Smit, Lidwien A M

Abstract

Methicillin-resistant strains of Staphylococcus aureus(MRSA) are resistant to most β-lactam antibiotics. Pigs are an important reservoir of livestock-associated MRSA (LA-MRSA), which is genetically distinct from both hospital and community-acquired MRSA. Occupational exposure to pigs on farms can lead to LA-MRSA carriage by workers. There is a growing body of research on MRSA found in the farm environment, the airborne route of transmission, and its implication on human health. This study aims to directly compare two sampling methods used to measure airborne MRSA in the farm environment; passive dust sampling with electrostatic dust fall collectors (EDCs), and active inhalable dust sampling using stationary air pumps with Gesamtstaubprobenahme (GSP) sampling heads containing Teflon filters. Paired dust samples using EDCs and GSP samplers, totaling 87 samples, were taken from 7 Dutch pig farms, in multiple compartments housing pigs of varying ages. Total nucleic acids of both types of dust samples were extracted and targets indicating MRSA (femA, nuc, mecA) and total bacterial count (16S rRNA) were quantified using quantitative real-time PCRs. MRSA could be measured from all GSP samples and in 94% of the EDCs, additionally MRSA was present on every farm sampled. There was a strong positive relationship between the paired MRSA levels found in EDCs and those measured on filters (Normalized by 16S rRNA; Pearson’s correlation coefficient r= 0.94, Not Normalized; Pearson’s correlation coefficient r= 0.84). This study suggests that EDCs can be used as an affordable and easily standardizedmethod for quantifying airborne MRSA levels in the pig farm setting.

Published
2023
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33. SARS-CoV-2 outbreaks in secondary school settings in the Netherlands during fall 2020; silent circulation

Author

Jonker, Lotte, primary, Linde, Kimberly J, additional, de Hoog, Marieke LA, additional, Sprado, Robin, additional, Huisman, Robin, additional, Molenkamp, Richard, additional, Oude Munnink, Bas B, additional, Dohmen, Wietske, additional, Heederik, Dick JJ, additional, Eggink, Dirk, additional, Welkers, Matthijs RA, additional, Vennema, Harry, additional, Koopmans, Marion PG, additional, Fraaij, Pieter LA, additional, Wouters, Inge M, additional, and Bruijning-Verhagen, Patricia CJL, additional

Published
2022
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34. Determinants for antimicrobial resistance genes in farm dust on 333 poultry and pig farms in nine European countries

Author

Luiken, Roosmarijn EC., primary, Heederik, Dick JJ., additional, Scherpenisse, Peter, additional, Van Gompel, Liese, additional, van Heijnsbergen, Eri, additional, Greve, Gerdit D., additional, Jongerius-Gortemaker, Betty GM., additional, Tersteeg-Zijderveld, Monique HG., additional, Fischer, Jennie, additional, Juraschek, Katharina, additional, Skarżyńska, Magdalena, additional, Zając, Magdalena, additional, Wasyl, Dariusz, additional, Wagenaar, Jaap A., additional, Smit, Lidwien AM., additional, Wouters, Inge M., additional, Mevius, Dik J., additional, and Schmitt, Heike, additional

Published
2022
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35. Determinants for antimicrobial resistance genes in farm dust on 333 poultry and pig farms in nine European countries

Author

Klinische infectiologie en microb. lab., dIRAS RA-I&I I&I, Faculteit Diergeneeskunde, IRAS OH Epidemiology Microbial Agents, dIRAS RA-I&I RA, LS IRAS EEPI GRA (Gezh.risico-analyse), One Health Microbieel, dI&I I&I-4, Luiken, Roosmarijn Ec, Heederik, Dick Jj, Scherpenisse, Peter, Van Gompel, Liese, van Heijnsbergen, Eri, Greve, Gerdit D, Jongerius-Gortemaker, Betty Gm, Tersteeg-Zijderveld, Monique Hg, Fischer, Jennie, Juraschek, Katharina, Skarżyńska, Magdalena, Zając, Magdalena, Wasyl, Dariusz, EFFORT Group, Wagenaar, Jaap A, Smit, Lidwien Am, Wouters, Inge M, Mevius, Dik J, Schmitt, Heike, Klinische infectiologie en microb. lab., dIRAS RA-I&I I&I, Faculteit Diergeneeskunde, IRAS OH Epidemiology Microbial Agents, dIRAS RA-I&I RA, LS IRAS EEPI GRA (Gezh.risico-analyse), One Health Microbieel, dI&I I&I-4, Luiken, Roosmarijn Ec, Heederik, Dick Jj, Scherpenisse, Peter, Van Gompel, Liese, van Heijnsbergen, Eri, Greve, Gerdit D, Jongerius-Gortemaker, Betty Gm, Tersteeg-Zijderveld, Monique Hg, Fischer, Jennie, Juraschek, Katharina, Skarżyńska, Magdalena, Zając, Magdalena, Wasyl, Dariusz, EFFORT Group, Wagenaar, Jaap A, Smit, Lidwien Am, Wouters, Inge M, Mevius, Dik J, and Schmitt, Heike

Published
2022

36. Risk factors for the abundance of antimicrobial resistance genes aph(3')-III, erm(B), sul2 and tet(W) in pig and broiler faeces in nine European countries

Author

IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, dIRAS RA-I&I RA, Klinische infectiologie en microb. lab., dI&I I&I-4, dIRAS RA-I&I I&I, LS IRAS EEPI GRA (Gezh.risico-analyse), One Health Microbieel, Yang, Dongsheng, Heederik, Dick J J, Mevius, Dik J, Scherpenisse, Peter, Luiken, Roosmarijn E C, Van Gompel, Liese, Skarżyńska, Magdalena, Wadepohl, Katharina, Chauvin, Claire, Van Heijnsbergen, Eri, Wouters, Inge M, Greve, Gerdit D, Jongerius-Gortemaker, Betty G M, Tersteeg-Zijderveld, Monique, Zając, Magdalena, Wasyl, Dariusz, Juraschek, Katharina, Fischer, Jennie, Wagenaar, Jaap A, Smit, Lidwien A M, Schmitt, Heike, IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, dIRAS RA-I&I RA, Klinische infectiologie en microb. lab., dI&I I&I-4, dIRAS RA-I&I I&I, LS IRAS EEPI GRA (Gezh.risico-analyse), One Health Microbieel, Yang, Dongsheng, Heederik, Dick J J, Mevius, Dik J, Scherpenisse, Peter, Luiken, Roosmarijn E C, Van Gompel, Liese, Skarżyńska, Magdalena, Wadepohl, Katharina, Chauvin, Claire, Van Heijnsbergen, Eri, Wouters, Inge M, Greve, Gerdit D, Jongerius-Gortemaker, Betty G M, Tersteeg-Zijderveld, Monique, Zając, Magdalena, Wasyl, Dariusz, Juraschek, Katharina, Fischer, Jennie, Wagenaar, Jaap A, Smit, Lidwien A M, and Schmitt, Heike

Published
2022

37. Assessment of Indoor Air Quality for Group-Housed Macaques (Macaca spp.)

Author

AISS LAS/3'R Centre ULS, IRAS OH Epidemiology Microbial Agents, FAH veterinaire epidemiologie, Maaskant, Annemiek, Janssen, Isabel, Wouters, Inge M, Eerdenburg, Frank J C M van, Remarque, Edmond J, Langermans, Jan A M, Bakker, Jaco, AISS LAS/3'R Centre ULS, IRAS OH Epidemiology Microbial Agents, FAH veterinaire epidemiologie, Maaskant, Annemiek, Janssen, Isabel, Wouters, Inge M, Eerdenburg, Frank J C M van, Remarque, Edmond J, Langermans, Jan A M, and Bakker, Jaco

Published
2022

38. Antimicrobial resistance genes aph(3')-III, erm(B), sul2 and tet(W) abundance in animal faeces, meat, production environments and human faeces in Europe

Author

IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, dIRAS RA-I&I RA, dIRAS RA-I&I I&I, Klinische infectiologie en microb. lab., LS IRAS EEPI GRA (Gezh.risico-analyse), One Health Microbieel, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, dI&I I&I-4, Yang, Dongsheng, Heederik, Dick J J, Scherpenisse, Peter, Van Gompel, Liese, Luiken, Roosmarijn E C, Wadepohl, Katharina, Skarżyńska, Magdalena, Van Heijnsbergen, Eri, Wouters, Inge M, Greve, Gerdit D, Jongerius-Gortemaker, Betty G M, Tersteeg-Zijderveld, Monique, Portengen, Lützen, Juraschek, Katharina, Fischer, Jennie, Zając, Magdalena, Wasyl, Dariusz, Wagenaar, Jaap A, Mevius, Dik J, Smit, Lidwien A M, Schmitt, Heike, IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, dIRAS RA-I&I RA, dIRAS RA-I&I I&I, Klinische infectiologie en microb. lab., LS IRAS EEPI GRA (Gezh.risico-analyse), One Health Microbieel, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, dI&I I&I-4, Yang, Dongsheng, Heederik, Dick J J, Scherpenisse, Peter, Van Gompel, Liese, Luiken, Roosmarijn E C, Wadepohl, Katharina, Skarżyńska, Magdalena, Van Heijnsbergen, Eri, Wouters, Inge M, Greve, Gerdit D, Jongerius-Gortemaker, Betty G M, Tersteeg-Zijderveld, Monique, Portengen, Lützen, Juraschek, Katharina, Fischer, Jennie, Zając, Magdalena, Wasyl, Dariusz, Wagenaar, Jaap A, Mevius, Dik J, Smit, Lidwien A M, and Schmitt, Heike

Published
2022

39. SARS-CoV-2 outbreaks in secondary school settings in the Netherlands during fall 2020: silent circulation

Author

IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, Jonker, Lotte, Linde, Kimberly J, de Hoog, Marieke L A, Sprado, Robin, Huisman, Robin C, Molenkamp, Richard, Oude Munnink, Bas B, Dohmen, Wietske, Heederik, Dick J J, Eggink, Dirk, Welkers, Matthijs R A, Vennema, Harry, Fraaij, Pieter L A, Koopmans, Marion P G, Wouters, Inge M, Bruijning-Verhagen, Patricia C J L, IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, Jonker, Lotte, Linde, Kimberly J, de Hoog, Marieke L A, Sprado, Robin, Huisman, Robin C, Molenkamp, Richard, Oude Munnink, Bas B, Dohmen, Wietske, Heederik, Dick J J, Eggink, Dirk, Welkers, Matthijs R A, Vennema, Harry, Fraaij, Pieter L A, Koopmans, Marion P G, Wouters, Inge M, and Bruijning-Verhagen, Patricia C J L

Published
2022

40. Establishing farm dust as a useful viral metagenomic surveillance matrix

Author

IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, Kwok, Kirsty T T, de Rooij, Myrna M T, Messink, Aniek B, Wouters, Inge M, Smit, Lidwien A M, Cotten, Matthew, Heederik, Dick J J, Koopmans, Marion P G, Phan, My V T, IRAS OH Epidemiology Microbial Agents, Faculteit Diergeneeskunde, Kwok, Kirsty T T, de Rooij, Myrna M T, Messink, Aniek B, Wouters, Inge M, Smit, Lidwien A M, Cotten, Matthew, Heederik, Dick J J, Koopmans, Marion P G, and Phan, My V T

Published
2022

41. Establishing farm dust as a useful viral metagenomic surveillance matrix

Author

Kwok, Kirsty T.T., de Rooij, Myrna M.T., Messink, Aniek B., Wouters, Inge M., Smit, Lidwien A.M., Cotten, Matthew, Heederik, Dick J.J., Koopmans, Marion P.G., Phan, My V.T., Kwok, Kirsty T.T., de Rooij, Myrna M.T., Messink, Aniek B., Wouters, Inge M., Smit, Lidwien A.M., Cotten, Matthew, Heederik, Dick J.J., Koopmans, Marion P.G., and Phan, My V.T.

Abstract

Farm animals may harbor viral pathogens, some with zoonotic potential which can possibly cause severe clinical outcomes in animals and humans. Documenting the viral content of dust may provide information on the potential sources and movement of viruses. Here, we describe a dust sequencing strategy that provides detailed viral sequence characterization from farm dust samples and use this method to document the virus communities from chicken farm dust samples and paired feces collected from the same broiler farms in the Netherlands. From the sequencing data, Parvoviridae and Picornaviridae were the most frequently found virus families, detected in 85–100% of all fecal and dust samples with a large genomic diversity identified from the Picornaviridae. Sequences from the Caliciviridae and Astroviridae familes were also obtained. This study provides a unique characterization of virus communities in farmed chickens and paired farm dust samples and our sequencing methodology enabled the recovery of viral genome sequences from farm dust, providing important tracking details for virus movement between livestock animals and their farm environment. This study serves as a proof of concept supporting dust sampling to be used in viral metagenomic surveillance.

Published
2022

42. Determinants for antimicrobial resistance genes in farm dust on 333 poultry and pig farms in nine European countries

Author

Luiken, Roosmarijn E.C., Heederik, Dick J.J., Scherpenisse, Peter, Van Gompel, Liese, van Heijnsbergen, Eri, Greve, Gerdit D., Jongerius-Gortemaker, Betty G.M., Tersteeg-Zijderveld, Monique H.G., Fischer, Jennie, Juraschek, Katharina, Skarżyńska, Magdalena, Zając, Magdalena, Wasyl, Dariusz, Wagenaar, Jaap A., Smit, Lidwien A.M., Wouters, Inge M., Mevius, Dik J., Schmitt, Heike, Luiken, Roosmarijn E.C., Heederik, Dick J.J., Scherpenisse, Peter, Van Gompel, Liese, van Heijnsbergen, Eri, Greve, Gerdit D., Jongerius-Gortemaker, Betty G.M., Tersteeg-Zijderveld, Monique H.G., Fischer, Jennie, Juraschek, Katharina, Skarżyńska, Magdalena, Zając, Magdalena, Wasyl, Dariusz, Wagenaar, Jaap A., Smit, Lidwien A.M., Wouters, Inge M., Mevius, Dik J., and Schmitt, Heike

Abstract

Livestock feces with antimicrobial resistant bacteria reaches the farm floor, manure pit, farm land and wider environment by run off and aerosolization. Little research has been done on the role of dust in the spread of antimicrobial resistance (AMR) in farms. Concentrations and potential determinants of antimicrobial resistance genes (ARGs) in farm dust are at present not known. Therefore in this study absolute ARG levels, representing the levels people and animals might be exposed to, and relative abundances of ARGs, representing the levels in the bacterial population, were quantified in airborne farm dust using qPCR. Four ARGs were determined in 947 freshly settled farm dust samples, captured with electrostatic dustfall collectors (EDCs), from 174 poultry (broiler) and 159 pig farms across nine European countries. By using linear mixed modeling, associations with fecal ARG levels, antimicrobial use (AMU) and farm and animal related parameters were determined. Results show similar relative abundances in farm dust as in feces and a significant positive association (ranging between 0.21 and 0.82) between the two reservoirs. AMU in pigs was positively associated with ARG abundances in dust from the same stable. Higher biosecurity standards were associated with lower relative ARG abundances in poultry and higher relative ARG abundances in pigs. Lower absolute ARG levels in dust were driven by, among others, summer season and certain bedding materials for poultry, and lower animal density and summer season for pigs. This study indicates different pathways that contribute to shaping the dust resistome in livestock farms, related to dust generation, or affecting the bacterial microbiome. Farm dust is a large reservoir of ARGs from which transmission to bacteria in other reservoirs can possibly occur. The identified determinants of ARG abundances in farm dust can guide future research and potentially farm management policy.

Published
2022

43. Risk factors for the abundance of antimicrobial resistance genes aph(3′)-III, erm(B), sul2 and tet(W) in pig and broiler faeces in nine European countries

Author

Yang, Dongsheng, Heederik, Dick J.J., Mevius, Dik J., Scherpenisse, Peter, Luiken, Roosmarijn E.C., Van Gompel, Liese, Skarżyńska, Magdalena, Wadepohl, Katharina, Chauvin, Claire, Van Heijnsbergen, Eri, Wouters, Inge M., Greve, Gerdit D., Jongerius-Gortemaker, Betty G.M., Tersteeg-Zijderveld, Monique, ZajCrossed D Sign c, Magdalena, Wasyl, Dariusz, Juraschek, Katharina, Fischer, Jennie, Wagenaar, Jaap A., Smit, Lidwien A.M., Schmitt, Heike, Yang, Dongsheng, Heederik, Dick J.J., Mevius, Dik J., Scherpenisse, Peter, Luiken, Roosmarijn E.C., Van Gompel, Liese, Skarżyńska, Magdalena, Wadepohl, Katharina, Chauvin, Claire, Van Heijnsbergen, Eri, Wouters, Inge M., Greve, Gerdit D., Jongerius-Gortemaker, Betty G.M., Tersteeg-Zijderveld, Monique, ZajCrossed D Sign c, Magdalena, Wasyl, Dariusz, Juraschek, Katharina, Fischer, Jennie, Wagenaar, Jaap A., Smit, Lidwien A.M., and Schmitt, Heike

Abstract

Objectives: The occurrence and zoonotic potential of antimicrobial resistance (AMR) in pigs and broilers has been studied intensively in past decades. Here, we describe AMR levels of European pig and broiler farms and determine the potential risk factors. Methods: We collected faeces from 181 pig farms and 181 broiler farms in nine European countries. Real-time quantitative PCR (qPCR) was used to quantify the relative abundance of four antimicrobial resistance genes (ARGs) [aph(3′)-III, erm(B), sul2 and tet(W)] in these faeces samples. Information on antimicrobial use (AMU) and other farm characteristics was collected through a questionnaire. A mixed model using country and farm as random effects was performed to evaluate the relationship of AMR with AMU and other farm characteristics. The correlation between individual qPCR data and previously published pooled metagenomic data was evaluated. Variance component analysis was conducted to assess the variance contribution of all factors. Results: The highest abundance of ARG was for tet(W) in pig faeces and erm(B) in broiler faeces. In addition to the significant positive association between corresponding ARG and AMU levels, we also found on-farm biosecurity measures were associated with relative ARG abundance in both pigs and broilers. Between-country and between-farm variation can partially be explained by AMU. Different ARG targets may have different sample size requirements to represent the overall farm level precisely. Conclusions: qPCR is an efficient tool for targeted assessment of AMR in livestock-related samples. The AMR variation between samples was mainly contributed to by between-country, between-farm and within-farm differences, and then by on-farm AMU.

Published
2022

44. SARS-CoV-2 outbreaks in secondary school settings in the Netherlands during fall 2020; silent circulation

Author

Epi Infectieziekten Team 1, Child Health, Infection & Immunity, JC onderzoeksprogramma Methodologie, JC onderzoeksprogramma Infectieziekten, Jonker, Lotte, Linde, Kimberly J., de Hoog, Marieke L.A., Sprado, Robin, Huisman, Robin C., Molenkamp, Richard, Oude Munnink, Bas B., Dohmen, Wietske, Heederik, Dick J.J., Eggink, Dirk, Welkers, Matthijs R.A., Vennema, Harry, Fraaij, Pieter L.A., Koopmans, Marion P.G., Wouters, Inge M., Bruijning-Verhagen, Patricia C.J.L., Epi Infectieziekten Team 1, Child Health, Infection & Immunity, JC onderzoeksprogramma Methodologie, JC onderzoeksprogramma Infectieziekten, Jonker, Lotte, Linde, Kimberly J., de Hoog, Marieke L.A., Sprado, Robin, Huisman, Robin C., Molenkamp, Richard, Oude Munnink, Bas B., Dohmen, Wietske, Heederik, Dick J.J., Eggink, Dirk, Welkers, Matthijs R.A., Vennema, Harry, Fraaij, Pieter L.A., Koopmans, Marion P.G., Wouters, Inge M., and Bruijning-Verhagen, Patricia C.J.L.

Published
2022

47. Antimicrobial resistance genes aph(3′)-III, erm(B), sul2 and tet(W) abundance in animal faeces, meat, production environments and human faeces in Europe

Author

Yang, Dongsheng, primary, Heederik, Dick J J, additional, Scherpenisse, Peter, additional, Van Gompel, Liese, additional, Luiken, Roosmarijn E C, additional, Wadepohl, Katharina, additional, Skarżyńska, Magdalena, additional, Van Heijnsbergen, Eri, additional, Wouters, Inge M, additional, Greve, Gerdit D, additional, Jongerius-Gortemaker, Betty G M, additional, Tersteeg-Zijderveld, Monique, additional, Portengen, Lützen, additional, Juraschek, Katharina, additional, Fischer, Jennie, additional, Zając, Magdalena, additional, Wasyl, Dariusz, additional, Wagenaar, Jaap A, additional, Mevius, Dik J, additional, Smit, Lidwien A M, additional, and Schmitt, Heike, additional

Published
2022
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49. SARS-CoV-2 Incidence in Secondary Schools; the Role of National and School-Initiated COVID-19 Measures and Indoor Air Quality

Author

Jonker, Lotte, primary, Linde, Kimberly J., additional, de Boer, Annemarijn Rachel, additional, Ding, Erica, additional, Zhang, Dadi, additional, de Hoog, Marieke L. A., additional, Herfst, Sander, additional, Heederik, Dick J. J., additional, Fraaij, Pieter L. A., additional, Bluyssen, Philomena, additional, Wouters, Inge M., additional, and Bruijning-Verhagen, Patricia, additional

Published
2022
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50. Spatial Variation of Endotoxin Concentrations Measured in Ambient P[M.sub.10] in a Livestock-Dense Area: Implementation of a Land-Use Regression Approach

Author

de Rooij, Myrna M.T., Heederik, Dick J.J., van Nunen, Erik J.H.M., van Schothorst, Isabella J., Maassen, Catharina B.M., Hoek, Gerard, and Wouters, Inge M.

Subjects
Air pollution -- Analysis -- Usage -- Health aspects, Stochastic models -- Usage -- Environmental aspects -- Health aspects, Endotoxins -- Distribution -- Health aspects, Livestock farms -- Analysis -- Usage -- Health aspects -- Environmental aspects, Environmental management -- Models, Company distribution practices, Environmental issues, Health
Abstract

Background: Results from studies on residential health effects of livestock farming are inconsistent, potentially due to simple exposure proxies used (e.g., livestock density). Accuracy of these proxies compared with measured exposure concentrations is unknown. Objectives: We aimed to assess spatial variation of endotoxin in P[M.sub.10] (particulate matter [less than or equal to] 10 [micro]m) at residential level in a livestock-dense area, compare simple livestock exposure proxies to measured endotoxin concentrations, and evaluate whether land-use regression (LUR) can be used to explain spatial variation of endotoxin. Methods: The study area (3,000 [km.sup.2]) was located in Netherlands. Ambient P[M.sub.10] was collected at 61 residential sites representing a variety of surrounding livestock-related characteristics. Three to four 2-wk averaged samples were collected at each site. A local reference site was used for temporal variation adjustment. Samples were analyzed for P[M.sub.10] mass by weighing and for endotoxin by using the limulus amebocyte lysate assay. Three LUR models were developed, first a model based on general livestock-related GIS predictors only, followed by models that also considered speciesspecific predictors and farm type-specific predictors. Results: Variation in concentrations measured between sites was substantial for endotoxin and more limited for P[M.sub.10] (coefficient of variation: 43%, 8%, respectively); spatial patterns differed considerably. Simple exposure proxies were associated with endotoxin concentrations although spatial variation explained was modest ([R.sup.2] < 26%). LUR models using a combination of animal-specific livestock-related characteristics performed markedly better, with up to 64% explained spatial variation. Conclusion: The considerable spatial variation of ambient endotoxin concentrations measured in a livestock-dense area can largely be explained by LUR modeling based on livestock-related characteristics. Application of endotoxin LUR models seems promising for residential exposure estimation within health studies. https://doi.org/10.1289/EHP2252, Introduction There is concern about the influence of air pollution from livestock farms on public health. Several studies have shown associations between livestock farming exposure proxies and respiratory health of [...]

Published
2018
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