Skip to main content

Presentation of a participatory approach to develop preventive measures to reduce COVID-19 transmission in child care



It can be suspected that work in child care facilities is associated with an elevated exposure risk towards SARS-CoV-2 infections. It is still unclear under which conditions employees in those facilities can safely pursue their work. Preventive workplace-related measures to reduce transmission dynamics in this work environment need to be developed. These measures need to build on a solid scientific foundation and be ready for practical use at the same time. Therefore, the aim of the study is to present a participatory approach to identify, minimize, and eliminate workplace-specific COVID-19 transmission within child care. The approach presented combines quantitative as well as qualitative elements and includes a screening of critical workplace conditions and the development of preventive measures to foster a safe workplace design.


First, 428 employees of different child care facilities in a large German city reported their subjective risk of infection, fear of infection, and support received by the employer. Second, the participants commented in detail about high risk conditions during work. Third, employees provided suggestions for preventive measures. We conducted a qualitative analysis of free text answers to evaluate which aspects are perceived as critical from an employee perspective.


Participants provided valuable and practicable ideas on how to design and improve preventive measures to reduce COVID-19 transmission in child care dealing with structural conditions, the interaction with the parents, the implementation of preventive measures and recommendations for policy makers.


These new insights help to organize pandemic risk management in order to align theoretical based measures with the practical realization. We encourage researchers to adapt the approach presented to other work areas in order to foster participation of employees in work design to reduce COVID-19 transmission.


The coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has become one major global challenge for modern society. Public health interventions targeting the slowdown of transmission dynamics have a strong impact on society, policy, and economy. After acute public health interventions (e.g., lockdowns) have been implemented in the beginning of the pandemic, calls for targeted interventions to reboot the working life are growing [1]. Questions regarding how and under which conditions individuals can safely return to their workplaces become increasingly important. In particular, individuals at workplaces associated with a high infection risk demand preventive measures combining scientific rigor and practical feasibility. One of these high risk work areas is child care, although the extend of child-to-adult transmission is not yet quantified [2,3,4]. Child care staff working with young children have a workplace which precludes general protective measures such as social distancing as well as personal protective equipment [5]. Thus, it is crucial to provide them with a series of preventive measures that fit the requirements of early childhood education. We aim to present a participatory approach to identify, minimize or even eliminate workplace-specific infection risks. We focus on workplace stressors arising from the current COVID-19 situation and examine preventive measures to reduce the psychological burden.

Our research design combines quantitative as well as qualitative methods to screen critical work characteristics in a three-step process: First, we collected information on three aspects of workplace conditions (risk of infection, fear of infection and support of employer) using a standardized quantitative questionnaire. Second, we explored causes of these critical aspects to identify why some of them are perceived as problematic using qualitative methods. This mixed methods screening approach is complemented by a third qualitative step in which employees made suggestions on preventive measures. Our participatory process may be used to design a safer workplace during the COVID-19 pandemic – as well as future pandemics – allowing the consideration of workers’ personal view.


In Germany, children have the possibility to attend kindergarten and day care facilities until school enrollment (on an average 5 years). Employers of these facilities are accountable for occupational health and workplace safety activities. They have to create a work environment that is secure and safe. During the first wave of the pandemic in early 2020, employers received instructions and guidelines on how to re-design child care from their corresponding Federal State Ministry for Family Affairs. This information, however, was only partly evidence-based and implementation was difficult because of the general nature of advises for safety measures. Our approach is located in this information process and displays perceptions as well as recommendations given by the employees of child care facilities, who had to put these preventive measures in practice and work under adjusted working conditions.

This study highlights three aspects that are proposed to be of major importance for the management of COVID-19 at work: risk of infection, fear of infection and support of employer. SARS-CoV-2 spreads person-to-person while the dominant route of transmission is assumed to be respiratory. SARS-CoV-2 has been found in exhaled breath and aerosols [6]. Most transmission occurs through close range contact [7,8,9]. Research suggests that beside washing or sanitizing hands and avoiding touching one’s face, physical distancing and wearing face masks protects individuals against an infection by SARS-CoV-2 as well [10, 11]. These effective measures to reduce transmission of SARS-CoV-2 can only be partially implemented in child care as they contradict pedagogical concepts. Face covering interferes with core pillars of child education and development, since learning to recognize emotions from facial cues plays a vital role in early childhood, especially for children under 3 years [12, 13]. Facial emotional expressions and their recognition are fundamental to human social interaction because they assumably enable an appropriate prediction of another individual’s emotional state to anticipate future actions [14]. Similarly, maintaining physical distance is particularly difficult as close body contact is sometimes needed with infants in child care settings in order to calm and comfort them or to provide personal hygiene. To conclude, effective prevention cannot easily be applied within child care to reduce the risk of infection for children and employees.

Additionally, we also focus on perceived fear of infection, which may amplify if individuals have risk factors associated with the development of a severe course of disease [7]. Thus, individuals may experience fears about their own health but also about infecting others such as close family members [15]. In addition, the pandemic situation is associated with generalized feelings of insecurity and psychological stress. Due to fear of infection and increased perceived stress employees might stay absent from work in order to avoid risk-prone situations [16]. Recent research also showed that fear of infection critically impairs important work and health outcomes of individuals [17].

Also, the employers’ support is a key topic in this study since it summarizes major considerations for protecting employees. It has been shown that the enactment of policies, practices, and procedures to design safe working conditions by the employer has an effect on employees’ work environment, psychosocial and physical health problems [18, 19]. Employers’ support describes the evaluation of how employees perceive and evaluate the preventive measures implemented by their employers. Results from this research may be used to adjust existing preventive measures by considering the experience of individuals who work in the child care setting and are therefore experts of their own work.


Sample and procedure

We contacted 371 child care facilities and 174 day care institutions in a large city in Western Germany. Participation was voluntary and informed consent was given by all participants. In total, 428 employees from different child and day care facilities participated in an online survey. The mean age of participants was 43.92 years (SD = 11.81) ranging from 21 to 70. The majority of participants were female (95%). Most participants worked in child care facilities (79%) most of which were owned by a municipality (44%), a church (16%), a welfare organization (15%), a private sponsor (5%) or other sponsors (20%). The study was approved by the ethics committee at the Medical Faculty of Heinrich Heine University Düsseldorf (no. 2020–1067).


Participants responded to an online-survey and rated their subjective risk of infection, fear of infection and support by the employer. They also stated demographic characteristics. Each topic was explored by three questions: (1) a screening question, (2) a problem question, and (3) a solution question [20, 21]. Screening questions asked whether a certain topic was perceived as critical on a five-point Likert scale with a response format of 1 (I strongly disagree) to 5 (I strongly agree). Items were adapted from an existing instrument to measure psychosocial work stressors ([22, 23]; risk of infection: “At my current workplace, there is a risk of being infected with the coronavirus (COVID-19)”; fear of infection: “I am afraid of an infection with the coronavirus (COVID-19)”; support of employer: “My employer acted quickly to prevent health risks from employees during the coronavirus pandemic”). The subsequent problem questions identified the root cause of the critical aspects of the different topics. Problem questions presented four to five pre-defined causes of critical workplace conditions. Multiple selection was possible. Pre-defined causes were developed under discussion with ten experts in the field of occupational health. Participants could additionally give a free text answer, which enabled the possibility of a detailed description of the identified problem. Finally, a solution question was presented so that participants could suggest preventive measures to minimize critical workplace conditions. The instrument is displayed in the Additional file 1.

Screening questions were quantitative in nature and analyzed with IBM SPSS 27. Problem questions were on the one hand quantitative (pre-defined causes) and on the other hand qualitative (free text answers). Therefore, a content analysis using MAXQDA 2020 [24] was conducted to identify main topics of critical workplace conditions. We used overarching codes to capture the main issues raised by participants. The material was initially coded by the first author and then discussed by all authors to reduce potential redundancies and ensure comprehensibility as well as replicability. The same procedure was administered for the qualitative solution question.


Screening questions

Infection risk (M = 4.31, SD = 0.98) was perceived as particularly high. The mean value of fear of infection (M = 3.10, SD = 1.30) was also high, while employers’ support had a medium level (M = 2.37, SD = 1.16).

Problem questions

Problem questions were introduced to specify critical working conditions in greater detail and summarize answers on pre-defined causes as well as free text answers. Answers on pre-defined causes. Child care staff’s answers on pre-defined causes of problem questions are presented in Table 1. Most participants regarded difficulties with physical distance as the major cause for a high risk of infection (83%). Also, the compliance of other people with safety regulations (30%) and the lack of access to personal protective equipment (10%) were seen as critical aspects regarding infection risk. For fear of infection, participants reported to be afraid of infecting others (37%), infecting themselves (36%) or having a serious course of illness (35%). Participants also reported that they were afraid of the subsequent consequences (e.g., quarantine, economic consequences) of an infection (30%). Employers’ reaction to the pandemic was critically perceived by the absence of materials for personal protection (11%) or the non-adjustment of work processes (9%).

Table 1 Child care staff’s answers on pre-defined causes of problem questions

Free text answers

Participants were also encouraged to give a free text answer on problem questions to provide a detailed description of the critical workplace situation. Regarding the risk of infection, participants described in more detail that the recommended minimum of 1.5-m distance in child care, especially between children and colleagues, could not be maintained in a real-life work situation. Similarly, face masks are considered to be a hindrance. It was also stated that some parents do not fully comply with protective measures, both in private life and in everyday care (including the wearing of face masks, minimum distance or contact reduction). Contact reduction refers to the aspect that children are strictly separated within different groups of one child care facility but then mixed during leisure time when parents meet each other in their free time. Participants assumed an increased risk of infection particularly for children whose parents have high-risk professions for example in the field of medical care. With regard to employees’ fear of infection, respondents were particularly concerned about infecting relatives belonging to a risk group. In addition, some respondents assigned themselves to a risk group (due to age or previous illnesses) and were therefore anxious. Concerning employers’ reaction to the pandemic, the following aspects were of primary importance: In some cases, mainly in the beginning of the pandemic, there was no adequate provision of personal protective equipment. Likewise, in certain circumstances no additional financial resources were received in order to successfully implement protective measures proposed in the facilities. In addition, particular local conditions of the facilities (e.g. small outdoor area) were not sufficiently considered when specifying the protective measures proposed. Information on the protective measures was described as partly inconsistent and not geared to the target group. Child care facilities received lengthy and detailed descriptions of the measures so that they had to study many pages with instructions. Above all, the facilities lacked targeted personnel support in implementing the protective measures, and employees wished to receive support of an expert who visits facilities on site to inspect the specific conditions of each facility.

Solution question

In a third step, participants were asked to provide suggestions for dealing with the pandemic situation by answering an open question. In total, 123 participants provided a solution to prevent transmission dynamics in their facility. Table 2 summarizes their main proposed solutions arranged around four themes. The first one deals with enhancing the structural organization of child care. This theme subsumes aspects that require timely or financial resources of the employer or policy maker. The second topic concerns interaction between parents and employees. Proposed measures subsume mainly behavioral aspects like informing parents about the pandemic situation to structure communication and encourage sensitivity for the current situation in child care. The third theme deals with the implementation of preventive measures. Communication between policy makers, health experts, and employees of child care facilities is described. Preventive measures in this topic area are mainly based on communication, require minor resources, and ought to render communication processes between the stakeholders more transparent and participative. The fourth issue summarizes measures that aim at support on the political level and mainly contains communication activities. It is described that the appreciation of child care work during the pandemic would help employees deal with the uncertain situation. In sum, the common ground of all measures is a transparent, participative and appreciative communication and interaction between stakeholders within child care to enhance working conditions in the COVID-19 situation.

Table 2 Child care staff’s recommendation on preventive measures to minimize COVID-19 transmission in the workplace


In this study we applied an online participatory approach to identify critical workplace-specific risks associated with COVID-19 transmission within child care and related employee suggestions for preventive measures to reduce risk factors. Although current research shows that infected children predominantly have a mild course [25, 26], viral load and infectivity are comparable to adults [27]. Thus, it is pivotal to implement measures to prevent COVID-19 transmission dynamics within child care. We focused on three topics to organize information collection within the approach presented. Employees of child care facilities informed us about the risk of infection, the fear of infection, and the support of their employer. Furthermore, participants specified critical aspects of these three topics by describing the root causes of the risk factors. This phase of problem identification was complemented by a solution phase in which participants made suggestions for preventive measures to reduce transmission dynamics within child care. These proposed preventive measures can be categorized into four groups. The suggestions refer to different levels: structural conditions, interaction with and behavior of the parents, the process of implementation of measures and the support at the political level. Ultimately, the respondents made tangible recommendations for the adjustment of protective measures.

We assume that the participative approach helps to integrate opinions and expertise of employees within the process of work design during a pandemic. Participation within work design and organizational health is a key aspect for the successful implementation of health-related measures [28]. This approach shows employees that their ideas are taken seriously by the superior level and that they can effectively contribute to the process of creating safe and healthy working conditions [29]. By involving employees, key information on applicability and utility of work design measures can be received. Due to their experience and practical knowledge, child care workers know best about what is feasible and what is not [30]. Further experimental studies have shown that participatory interventions in workplace redesign positively influence the perception of workplace characteristics by employees and thus increase well-being at work [31]. Therefore, we aim to encourage researchers and practitioners to involve employees when discussing the design of work during extraordinary situations like the COVID-19 pandemic.


Although the study has several strengths like the combination of qualitative and quantitative methods of data collection, there are some limitations. First, data was only collected in one city in Germany. Therefore, the generalizability of findings might be limited. Future research should replicate and extend our findings not only within other locations of study but also within other workplaces that are associated with a high infection risk. According to this issue, we were not able to calculate response rates for the sample in this study. We sent the study information to a coordinating office which forwarded the material to the facilities. For this reason, we do not know how many institutions or individuals received the study information. However, recent large-scale studies have revealed that responsiveness seems to be a critical issue within the child care staff population [32].

Second, in the qualitative results we do not differentiate between aspects that were made by a large group of individuals and aspects that only display opinions of a minority of participants. Due to the qualitative nature of our approach, this differentiation was not presented as we mainly focus on collecting information on how to design work more safely. In this context, valuing propositions with regard to frequencies may not be beneficial since the quality of propositions does not depend on the mere quantity of individuals making these propositions. Future research should integrate another subsequent step of evaluation within the proposed participatory approach to include an evaluation of proposed measures by all employees.

Third, we assessed all variables via online self-report questionnaires so that common method bias might have influenced our results. We tested for seriousness of participation at the end of the survey and only included participants who indicated seriousness of their responses [33]. We directly asked participants whether they had answered the questions in a serious manner (“Please indicate whether you have taken part seriously, so that we can use your answers for our scientific analysis, or whether you were just clicking through to take a look at the survey”).


Participants provided valuable ideas about how to design and implement preventive measures to reduce COVID-19 transmission within child care facilities. This approach is promising with regard to generating preventive measures that consider the view of employees who will eventually be confronted with different working conditions. Additionally, we demonstrated that this process may be applied online-based to reduce personal contact. Our approach has yielded some important insights about how to improve work characteristics in a workplace that is associated with a high risk of infection. We encourage researchers to adapt the approach presented to other work areas in order to foster participation in work design of employees to mitigate COVID-19 transmission.

Availability of data and materials

The original data are available from the corresponding author on reasonable request.


  1. 1.

    Rasmussen SA, Khoury MJ, Del Rio C. Precision public health as a key tool in the COVID-19 response. JAMA. 2020;324(10):933–4. .

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Laxminarayan R, Wahl B, Dudala SR, Gopal K, Mohan B C, Neelima S, et al. Epidemiology and transmission dynamics of COVID-19 in two Indian states. SCIENCE. 2020;370(6517):691–7. .

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Merckx J, Labrecque JA, Kaufman JS. Transmission of SARS-CoV-2 by children. Dtsch Arztebl Int. 2020;117(33–34):553–60. .

    Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Vermund SH, Pitzer VE. Asymptomatic transmission and the infection fatality risk for COVID-19: implications for school reopening. Clin Infect Dis. 2021;72(9):1493–6. .

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Michaels D, Wagner GR. Occupational safety and health administration (OSHA) and worker safety during the COVID-19 pandemic. JAMA. 2020;324(14):1389–90. .

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Meyerowitz EA, Richterman A, Gandhi RT, Sax PE. Transmission of SARS-CoV-2: A review of viral, host, and environmental factors. Ann Intern Med. 2021;174(1):69-79.

  7. 7.

    Cevik M, Kuppalli K, Kindrachuk J, et al. Virology, transmission, and pathogenesis of SARS-CoV-2. BMJ. 2020;371:m3862.

    Article  Google Scholar 

  8. 8.

    Chu DK, Akl EA, Duda S, Solo K, Yaacoub S, Schünemann HJ, et al. Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis. Lancet. 2020;395(10242):1973–87. .

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review. JAMA. 2020;324(8):782–93. .

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Islam N, Sharp SJ, Chowell G, et al. Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries. BMJ. 2020;370:m2743.

    Article  Google Scholar 

  11. 11.

    Cheng KK, Lam TH, Leung CC. Wearing face masks in the community during the COVID-19 pandemic: altruism and solidarity. Lancet. 2020. .

  12. 12.

    Chronaki G, Hadwin JA, Garner M, Maurage P, Sonuga-Barke EJS. The development of emotion recognition from facial expressions and non-linguistic vocalizations during childhood. Br J Dev Psychol. 2015;33(2):218–36. .

    Article  PubMed  Google Scholar 

  13. 13.

    Green J, Staff L, Bromley P, et al. The implications of face masks for babies and families during the COVID-19 pandemic: A discussion paper. J Neonatal Nurs. 2021;27(1):21–5. [published Online First: 29 October 2020].

    Article  PubMed  Google Scholar 

  14. 14.

    Russell JA, Bachorowski J-A, Fernandez-Dols J-M. Facial and vocal expressions of emotion. Annu Rev Psychol. 2003;54(1):329–49. .

    Article  PubMed  Google Scholar 

  15. 15.

    Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. 2020;395(10227):912–20. .

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Shultz JM, Cooper JL, Baingana F, Oquendo MA, Espinel Z, Althouse BM, et al. The role of fear-related behaviors in the 2013-2016 West Africa Ebola virus disease outbreak. Curr Psychiatry Rep. 2016;18(11):104. .

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Trougakos JP, Chawla N, McCarthy JM. Working in a pandemic: exploring the impact of COVID-19 health anxiety on work, family, and health outcomes. J Appl Psychol. 2020;105(11):1234–45. .

    Article  PubMed  Google Scholar 

  18. 18.

    Dollard MF, Bakker AB. Psychosocial safety climate as a precursor to conducive work environments, psychological health problems, and employee engagement. J Occup Organ Psych. 2010;83(3):579–99. .

    Article  Google Scholar 

  19. 19.

    Dollard MF, Opie T, Lenthall S, Wakerman J, Knight S, Dunn S, et al. Psychosocial safety climate as an antecedent of work characteristics and psychological strain: a multilevel model. Work Stress. 2012;26(4):385–404. .

    Article  Google Scholar 

  20. 20.

    Dragano N, Wulf IC, Diebig M. Digitale Gefährdungsbeurteilung psychischer Belastung. In: Badura B, Ducki A, Schröder H, editors. Fehlzeiten-Report 2019. Berlin: Springer; 2019. p. 111–25.

    Chapter  Google Scholar 

  21. 21.

    Angerer P, Müller A, Süß S, et al. Gefährdungsbeurteilung psychischer Belastung für die digitalisierte Arbeit: Das System DYNAMIK 4.0. ASU. 2018;53:718–22.

    Google Scholar 

  22. 22.

    Diebig M, Dragano N, Körner U, Lunau T, Wulf IC, Angerer P. Development and validation of a questionnaire to measure psychosocial work stressors in modern working environments. J Occup Environ Med. 2020;62(3):185–93. .

    Article  PubMed  Google Scholar 

  23. 23.

    Diebig M, Angerer P. Description and application of a method to quantify criterion-related cut-off values for questionnaire-based psychosocial risk assessment. Int Arch Occup Environ Health. 2021;94(3):475–85. .

    Article  PubMed  Google Scholar 

  24. 24.

    Mayring P, Huber GL, Guertler L. Mixed methodology in psychological research. Rotterdam: Sense Publishers; 2007. .

    Book  Google Scholar 

  25. 25.

    Castagnoli R, Votto M, Licari A, Brambilla I, Bruno R, Perlini S, et al. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents: a systematic review. JAMA Pediatr. 2020;174(9):882–9. .

    Article  PubMed  Google Scholar 

  26. 26.

    Götzinger F, Santiago-García B, Noguera-Julián A, Lanaspa M, Lancella L, Calò Carducci FI, et al. COVID-19 in children and adolescents in Europe: a multinational, multicentre cohort study. Lancet Child Adolesc Health. 2020;4(9):653–61. .

    Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Wölfel R, Corman VM, Guggemos W, Seilmaier M, Zange S, Müller MA, et al. Virological assessment of hospitalized patients with COVID-2019. Nature. 2020;581(7809):465–9. .

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Nielsen K, Randall R, Holten A-L, González ER. Conducting organizational-level occupational health interventions: what works? Work Stress. 2010;24(3):234–59. .

    Article  Google Scholar 

  29. 29.

    Karasek R, Theorell T. Healthy work: stress, productivity, and the reconstruction of working life. New York: Basic Books; 1990.

    Google Scholar 

  30. 30.

    Kompier MAJ, Geurts SA, Gründemann RW, et al. Cases in stress prevention: the success of a participative and stepwise approach. Stress Med. 1998;14(3):155–68.<155::AID-SMI773>3.0.CO;2-C .

    Article  Google Scholar 

  31. 31.

    Holman DJ, Axtell CM, Sprigg CA, Totterdell P, Wall TD. The mediating role of job characteristics in job redesign interventions: a serendipitous quasi-experiment. J Organ Behav. 2010;31(1):84–105. .

    Article  Google Scholar 

  32. 32.

    OECD. Providing quality early childhood education and care: results from the starting strong survey 2018. Paris: OECD Publishing; 2019. .

    Book  Google Scholar 

  33. 33.

    Aust F, Diedenhofen B, Ullrich S, Musch J. Seriousness checks are useful to improve data validity in online research. Behav Res Methods. 2013;45(2):527–35. .

    Article  PubMed  Google Scholar 

Download references


We thank Hannah Trienens (Heinrich Heine University Düsseldorf) for her enduring support in the project and Lisa Guthardt (Heinrich Heine University Düsseldorf) for her critical reading of the paper. We also want to thank all employees from the child and day care facilities for participating in this study.


This work was funded by the Ministry for Children, Family, Refugees, and Integration of the State of North Rhine-Westphalia. Open Access funding enabled and organized by Projekt DEAL.

Author information




MD, PA and SG conceived and designed the study. MD performed the analysis and drafted the manuscript. MD, SG, and PA contributed to the interpretation of the findings, writing and revision of the manuscript. ND provided critical feedback on the manuscript. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Mathias Diebig.

Ethics declarations

Ethics approval and consent to participate

The project has been approved by the ethics committee at the Medical Faculty of Heinrich Heine University Düsseldorf (no. 2020–1067) and has been performed in accordance with the ethical standards as laid down in the 2013 Declaration of Helsinki. Informed consent was obtained from all individual participants included in the study.

Consent for publication

All co-authors have read the text and approved the publication.

Competing interests

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Diebig, M., Gritzka, S., Dragano, N. et al. Presentation of a participatory approach to develop preventive measures to reduce COVID-19 transmission in child care. J Occup Med Toxicol 16, 26 (2021).

Download citation


  • Preventive measures
  • COVID-19 transmission
  • Participation
  • Work design