211 10 20655 https://www.socictopen.socict.org/files/original/38d3b55cc7835c1bd35c3aef966635ea.pdf 150a9e39296bef2277af704afd565854 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of newly developed SARS-CoV2 serology test along with real-time PCR for early detection in health care workers and on-time plasma donation. Creator An entity primarily responsible for making the resource Hossein Samadi Kafil, Leila Roshangar, Leili Aghebati-Maleki, Mahsa Hajivalili, Ata Mahmoodpoor, Javad Ahmadian Heris, Maryam Hosseini, Mehdi Yousefi, Mohammad Sadegh Soltani-Zangbar, Mostafa Haji-Fatahaliha, Roza Motavalli, Sara Farhang, Ramin Pourakbari, Farhad Jadidi-Niaragh, Amin Kamrani, Homayoon Siahmansouri, Abolfazl Miahipour, Oldouz Shareghi-Oskoue, Forough Parhizkar Description An account of the resource As the daily number of coronavirus infection disease 19 (COVID19) patients increases, the necessity of early diagnosis becomes more obvious. In this respect, we aimed to develop a serological test for specifically detecting anti-SARS-CoV2 antibodies. We collected serum and saliva samples from 609 individuals who work at TBZMED affiliated hospitals in Tabriz, Iran, from April to June of 2020. Real-time PCR technique was used to detect SARS-CoV-2 genome using specific primers. An enzyme linked immunosorbent assay (ELISA) test was designed based on virus nucleocapsid (N), spike (S) and its receptor binding domain (RBD) protein, and the collected sera were subjected to IgM and/or IgG analysis. Real-time PCR results showed that 66 people were infected with the SARS-CoV-2. Our designed ELISA kit showed 93.75% and 98% of sensitivity and specificity, respectively. In this study, 5.74% of participants had specific IgG against RBD, whereas the percentage for IgM positive individuals was 5.58%. Approximately the same results were observed for S protein. The number of positive participants for NP increased further, and the results of this antigen showed 7.38% for IgG and 7.06% for IgM. The ELISA test beside real-time PCR could provide a reliable serologic profile for the status of the disease progress and early detection of individuals. More importantly, it possesses the potential to identify the best candidates for plasma donation according to the antibody titers. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource ELISA, spike protein, Nucleocapsid protein, receptor-binding domain, SARS-CoV-2, IgG, IgM, RBD, receptor binding domain, PCR, polymerase chain reaction, N, Nucleocapsid protein, S, Spike protein, ELISA, enzyme-linked immune-sorbent assay, SARS-CoV-2, Severe Acute Respiratory Syndrome caused by Coronavirus-2 Identifier An unambiguous reference to the resource within a given context 10.1016/j.genrep.2021.101140 Source A related resource from which the described resource is derived Gene reports https://www.socictopen.socict.org/files/original/6022370b7cb2a43ef5e41dea4a7d717e.pdf 1277bc829510a2f3dfacf600b8e69d92 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application price of the field: proposal of a ICT solution for small farmer Creator An entity primarily responsible for making the resource Karen Cristina de Andrade Pereira, Vitória Aparecida Cardoso Description An account of the resource Family farming performs multiple functions for society, as environmental preservation and food security, because it is responsible for most of the domestic food production of several products. However, despite its importance, this sector faces many obstacles, and one of them is the lack of access to information, which is of great importance because it helps family farmers in decision making, making them more competitive in the market. Therefore, the objective of this paper is to present a mobile application proposal that assists the small producer in decision making. This research is exploratory about the goal, with a quantitative and qualitative approach. The qualitative approach is justified by the identification of the problems faced by family farming through bibliographic research, and the quantitative approach is justified by the use of secondary data for the mobile application proposal. In order to facilitate the access to information by the small farmer, it was proposed the application Price of the Field, that would present the average price paid for a particular product and its estimated cost, and the margin generated by the difference between the two values. Through this application, the farmer will have access to information that will help him decide what to produce, through the estimated cost of production, and he will be able to establish a more fair price for his products, based on average prices. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Subject The topic of the resource Agricultura Familiar, Aplicativo, Informação, Preço do Campo Source A related resource from which the described resource is derived Revista Eletrônica Competências Digitais para Agricultura Familiar Publisher An entity responsible for making the resource available Universidade Estadual Paulista Júlio de Mesquita Filho Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agriculture (General) Relation A related resource <a href="http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/36" target="_blank" rel="noreferrer noopener">http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/36</a> https://www.socictopen.socict.org/files/original/d1af007db904f489b5bda050b1f8188f.pdf 1cb28548e4c7706bd86f44da6fb61964 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia Creator An entity primarily responsible for making the resource Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei, Mabrook Al-Rakhami Description An account of the resource The novel coronavirus disease (COVID-19) is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide. Because of the unpredictable outbreak nature and the virus’s pandemic intensity, people are experiencing depression, anxiety, and other strain reactions. The response to prevent and control the new coronavirus pneumonia has reached a crucial point. Therefore, it is essential—for safety and prevention purposes—to promptly predict and forecast the virus outbreak in the course of this troublesome time to have control over its mortality. Recently, deep learning models are playing essential roles in handling time-series data in different applications. This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. Long short-term memory (LSTM) and gated recurrent unit (GRU) have been applied on time-series data in three countries: Egypt, Saudi Arabia, and Kuwait, from 1/5/2020 to 6/12/2020. The results show that LSTM has achieved the best performance in confirmed cases in the three countries, and GRU has achieved the best performance in death cases in Egypt and Kuwait. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1155/2021/6686745 Source A related resource from which the described resource is derived Complexity Publisher An entity responsible for making the resource available Hindawi-Wiley Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Electronic computers. Computer science https://www.socictopen.socict.org/files/original/40210aeceb53e1498d386e292081af44.pdf 8bb37df1f606fa7eb6f3ff66a1e81e90 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applying geospatial technologies to integrate agritourism and family farming Creator An entity primarily responsible for making the resource Bernadete da Conceição Carvalho Gomes Pedreira, Elaine Cristina Cardoso Fidalgo Description An account of the resource Geospatial Technologies can be used as auxiliary tools to agritourism development, facilitating its planning. This work aims at presenting cases of applying geospatial technologies to promote and develop agritourism in the context of small farming in two different scales: in the municipality of Cachoeiras de Macacu, RJ, and one farm in Socorro, SP. The geospatial technologies were applied for agritourism data survey and integration considering the demand for its planning. The main results are assessments and maps indicating the potential of the study areas to develop agritourism in small farms. These results supported the development of an agritourism plan for Cachoeiras de Macacu and an agritourism zoning for the farm. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource Pequeno produtor rural, Sensoriamento remoto, Turismo Rural, georreferenciamento, produção agropecuária Source A related resource from which the described resource is derived Revista Eletrônica Competências Digitais para Agricultura Familiar Publisher An entity responsible for making the resource available Universidade Estadual Paulista Júlio de Mesquita Filho Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agriculture (General) Relation A related resource <a href="http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/93" target="_blank" rel="noreferrer noopener">http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/93</a> https://www.socictopen.socict.org/files/original/7846b2203c33eb16bf6facdee94bc528.pdf 260e2c449fca724192a915a7c7918de1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applying lessons from the Ebola vaccine experience for SARS-CoV-2 and other epidemic pathogens. Creator An entity primarily responsible for making the resource Beth-Ann Coller, Samantha Bruno, Jayanthi Wolf, Michael Eichberg, Risat Jannat, Sharon Rudo, Susan VanRheenen Description An account of the resource The world is experiencing an unprecedented global pandemic of coronavirus disease 2019 (COVID-19) caused by a novel coronavirus, Severe Acute Respiratory Syndrome-coronavirus-2 (SARS-CoV-2). Development of new vaccines and therapeutics are important to achieve long-term prevention and control of the virus. Experience gained in the development of vaccines for Ebola virus disease provide important lessons in the regulatory, clinical, and manufacturing process that can be applied to SARS-CoV-2 and other epidemic pathogens. This report outlines the main lessons learned by Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA (MSD) during development of an Ebola Zaire vaccine (ERVEBO®) and looks ahead to critical lessons beyond vaccine development. It highlights focus areas for public-private partnership and regulatory harmonization that can be directly applied to current vaccine development efforts for SARS-CoV-2, while drawing attention to the need for parallel consideration of issues beyond development that are equally important to achieve global preparedness and response goals. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Drug Development, Drug Regulation Identifier An unambiguous reference to the resource within a given context DOI: 10.1038/s41541-020-0204-7 Source A related resource from which the described resource is derived npj Vaccines Publisher An entity responsible for making the resource available Nature Publishing Group https://www.socictopen.socict.org/files/original/c1f674d6d83e5d9f0fca0a45841339d5.pdf f9061a0681e8b666cf331927d1072566 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Corneel Vandelanotte, Quyen G. To, Kien G. To, Van-Anh N. Huynh, Nhung TQ Nguyen, Diep TN Ngo, Stephanie J. Alley, Anh NQ Tran, Anh NP Tran, Ngan TT Pham, Thanh X Bui Description An account of the resource Anti-vaccination attitudes have been an issue since the development of the first vaccines. The increasing use of social media as a source of health information may contribute to vaccine hesitancy due to anti-vaccination content widely available on social media, including Twitter. Being able to identify anti-vaccination tweets could provide useful information for formulating strategies to reduce anti-vaccination sentiments among different groups. This study aims to evaluate the performance of different natural language processing models to identify anti-vaccination tweets that were published during the COVID-19 pandemic. We compared the performance of the bidirectional encoder representations from transformers (BERT) and the bidirectional long short-term memory networks with pre-trained GLoVe embeddings (Bi-LSTM) with classic machine learning methods including support vector machine (SVM) and naïve Bayes (NB). The results show that performance on the test set of the BERT model was: accuracy = 91.6%, precision = 93.4%, recall = 97.6%, F1 score = 95.5%, and AUC = 84.7%. Bi-LSTM model performance showed: accuracy = 89.8%, precision = 44.0%, recall = 47.2%, F1 score = 45.5%, and AUC = 85.8%. SVM with linear kernel performed at: accuracy = 92.3%, Precision = 19.5%, Recall = 78.6%, F1 score = 31.2%, and AUC = 85.6%. Complement NB demonstrated: accuracy = 88.8%, precision = 23.0%, recall = 32.8%, F1 score = 27.1%, and AUC = 62.7%. In conclusion, the BERT models outperformed the Bi-LSTM, SVM, and NB models in this task. Moreover, the BERT model achieved excellent performance and can be used to identify anti-vaccination tweets in future studies. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource neural network, deep learning, LSTM, bert, transformer, stance analysis Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph18084069 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/33f04d3e357db091ed01807537ebf55a.pdf 06fb73e1906629b2959107b3eef74483 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applying the WHO ICF Framework to the Outcome Measures Used in the Evaluation of Long-Term Clinical Outcomes in Coronavirus Outbreaks Creator An entity primarily responsible for making the resource Sofia Straudi, Kajal Patel, Ng Yee Sien, Nora Fayed, John L. Melvin, Manoj Sivan Description An account of the resource (1) Objective: The World Health Organization’s (WHO) International Classification of Functioning, Disability and Health (ICF) classification is a unified framework for the description of health and health-related states. This study aimed to use the ICF framework to classify outcome measures used in follow-up studies of coronavirus outbreaks and make recommendations for future studies. (2) Methods: EMBASE, MEDLINE, CINAHL and PsycINFO were systematically searched for original studies assessing clinical outcomes in adult survivors of severe acute respiratory distress syndrome (SARS), middle east respiratory syndrome (MERS) and coronavirus disease-19 (COVID-19) after hospital discharge. Individual items of the identified outcome measures were linked to ICF second-level and third-level categories using ICF linking rules and categorized according to an ICF component. (3) Results: In total, 33 outcome measures were identified from 36 studies. Commonly used (a) ICF body function measures were Pulmonary Function Tests (PFT), Impact of event scale (IES-R) and Hospital Anxiety and Depression Scale (HADS); (b) ICF activity was 6-Minute Walking Distance (6MWD); (c) ICF participation measures included Short Form-36 (SF-36) and St George’s Respiratory Questionnaire (SGRQ). ICF environmental factors and personal factors were rarely measured. (4) Conclusions: We recommend future COVID-19 follow-up studies to use the ICF framework to select a combination of outcome measures that capture all the components for a better understanding of the impact on survivors and planning interventions to maximize functional return. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource MERS, SARS, Prevalence, covid-19, Follow-Up Studies, outcome measures Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17186476 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/cfc1ce11b56ab64287f958d29d193868.pdf d38293c3294ee0aff5efc3504e3f6fb3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource APPRECIATING POSITIVITY OF COVID-19 Creator An entity primarily responsible for making the resource Joel Rey Ugsang Acob Description An account of the resource This article aims to decipher the effects of COVID-19 on humans, thus maintaining the equanimity of life. Ecclesiastes continually radiates its significance these trying times with the operation that everything has its season under heavens. Only an undesirable and existential peril like COVID-19 steered to such profound transformation vastly. The portrayal is considered some of the many obvious outgrowths of the COVID-19 plague. Compared to 2019, levels of pollution have significantly subtracted to 50% because of the measures to ensure the virus is contained. Recognizing health-wealth worth took place when the world watches someone busy picking up the pieces of their lives amidst helpless speculators. In the busyness of life, most, if not all, rarely spend time to slow down, stay home, and go inward. The pandemic teaches us lessons about relationships. The invisible lines that divide people into strata - religion, sex, age, and country have all disappeared as humanity is confronted with this menace as people. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, Pandemic, environment, humanity, Nursing Identifier An unambiguous reference to the resource within a given context 10.33546/bnj.1214 Source A related resource from which the described resource is derived Belitung Nursing Journal Publisher An entity responsible for making the resource available Belitung Raya Foundation Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nursing https://www.socictopen.socict.org/files/original/e7b784980877ce1738296a4b050b63c4.pdf 8130ea4876bbe4cfd3537a228a089d55 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Approaches for Covid-19 infection control in the workplaces Creator An entity primarily responsible for making the resource Ehsan Rafeemanesh, Farzaneh Rahimpour, Maryam Memarzadeh Description An account of the resource Introduction: Due to the spread of the new coronavirus around the world, workplaces are not safe against this disease. Different guidelines have been promoted by international organizations regarding high-risk jobs and the necessity of implementing health rules in the workplaces. According to the considerable number of incidence of this disease in our country, the aim of this review article is to evaluate the epidemiologic studies on prevention and control of new coronavirus in the workplaces. Method: In this study, with the aim of evaluating occupational risk factors for new coronavirus infection, different databases such as Scopus, PubMed, and Google Scholar from 2019 to 2020 and CDC, NIOSH, OSHA, and WHO instructions were evaluated. 18 articles and 5 instructions were selected for this review article. Results: Investigations revealed that most of occupations such as healthcare workers, waste workers, and public transportation staff are at increased risk of this disease. Conclusion: All members of the society including employers, employees and laborers should be completely ready to overcome the virus, even if the epidemic has not been spreading in that country or area. This point can be effective on the reduction of lost workdays, work absenteeism and prevent the spread of the virus in the community. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, control, workplaces, occupation Source A related resource from which the described resource is derived طب کار Publisher An entity responsible for making the resource available Shahid Sadoughi University of Medical Science Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Special situations and conditions https://www.socictopen.socict.org/files/original/fa2bb6b3a22dbe6672be21265f6f6632.pdf 2c70328a17846bd58d28bd195c39c9fc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Approaches to Daily Monitoring of the SARS-CoV-2 Outbreak in Northern Italy Creator An entity primarily responsible for making the resource Milena Maule, Lorenzo Richiardi, Carlo Novara, Giovenale Moirano Description An account of the resource Italy was the first European country affected by the Sars-Cov-2 pandemic, with the first autochthonous case identified on Feb 21st. Specific control measures restricting social contacts were introduced by the Italian government starting from the beginning of March. In the current study we analyzed public data from the four most affected Italian regions. We (i) estimated the time-varying reproduction number (Rt), the average number of secondary cases that each infected individual would infect at time t, to monitor the positive impact of restriction measures; (ii) applied the generalized logistic and the modified Richards models to describe the epidemic pattern and obtain short-term forecasts. We observed a monotonic decrease of Rt over time in all regions, and the peak of incident cases ~2 weeks after the implementation of the first strict containment measures. Our results show that phenomenological approaches may be useful to monitor the epidemic growth in its initial phases and suggest that costly and disruptive public health controls might have had a positive impact in limiting the Sars-Cov-2 spread in Northern Italy. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Epidemiology, Public Health, infectious disease, outbreak analyses, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fpubh.2020.00222 Source A related resource from which the described resource is derived Frontiers in Public Health Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine