THE IMPACT OF THE SARS-COV-2 PANDEMIC ON THE EPIDEMIOLOGICAL PICTURE AND CHARACTERISTICS OF COLORECTAL CANCER - A RETROSPECTIVE ANALYSIS OF THE DEPARTMENT OF ONCOLOGY AND RADIOTHERAPY, UH of SPLIT, FOR THE YEAR 2020 IN COMPARISON TO PRE PANDEMIC 2017

Introduction: Colorectal cancer is the third most common cause of cancer in the world, after lung and breast cancer, while in Croatia is the most common malignant disease. Among the EU members, Croatia ranks ninth in terms of the incidence of colon cancer and a high second place by mortality. Since 2007, Croatia has had a National Colon Cancer Early Detection Program, but the response rate is still very low - 36% (25-52% depending on county and year).2 Despite the prevention program, approximately 13% of patients in Croatia is initially diagnosed with metastatic disease.1 According to the results of the CONCORD 3 study3, Croatia is at the bottom of the five-year survival (48%) compared to some other western countries (up to 71%) in the world. Method(s): A retrospective analysis was conducted at the Clinic of Oncology and Radiotherapy, CHC Split. Patients with newly diagnosed colorectal adenocarcinoma enrolled in the clinic from January 1, 2020 to December 31, 2020 were processed. The data were analyzed using descriptive statistics methods, with the use of Microsoft Excel tools. Result(s): A retrospective analysis of the medical history identified 269 patients (compared to 387 in 2017) presented at the multidisciplinary team (MDT) of CHC Split who were diagnosed with colorectal adenocarcinoma in 2020. All patients were presented to the MDT before starting the treatment. The median age of patients was 66 years, and the youngest patient was 22 years old. Patients from other counties who did not undergo the entire treatment/monitoring in our institution were excluded from the analysis. 52 patients (19.3%) were diagnosed in the metastatic stage of the disease, in stage 0 4 patients (1.5%), in stage I 32 (12%), in stage II 91 (34%), and in stage III 88 (33%). In 2 patients, the stage couldn't be precisely determined. There is a significant decrease in the number (81 in 2017 and 52 in 2020) but no percentage wise (20.9% in 2017 and 19.3% in 2020) of patients diagnosed with de novo metastatic colorectal cancer compared to the previous analysis from 2017, when 81 of them were detected. Patients diagnosed with metastatic disease were mostly in good general condition: ECOG 0 status 21 patients (40.3%), ECOG 1 24 patients (46.2%), ECOG 2 7 patients (13.5%), while no patient was ECOG status 3 or 4. 32 (57.7%) patients had a left-sided tumor, while 20 (42.3%) patients had a right-sided tumor. Conclusion(s): The results of our retrospective analysis showed a significant decrease in the number of patients compared to previous years. The effect of the smaller number of newly diagnosed patients will be analyzed and the real consequences will be seen, however, the appearance of patients in the later stages of the disease is to be expected.

Epidemic Analytics for Decision Supports in COVID19 Crisis

Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

MORTALITY TRENDS IN CROATIA IN THE FIRST TWO DECADES OF THE 21st CENTURY

Negative demographic trends in Croatia (natural decrease, negative net migration and population aging) are increasingly influencing socio-economic development of the country. Already in early 21st century, the long term decrease of live births and the increase of deaths were recognized as destabilizing factors of population development in Croatia. After the Croatian accession to the EU, the concerns regarding future demographic development of the country raised even more due to intensive emigration to other EU countries, which coincided with the historically low birth rates and high death rates. The focus of this paper is on mortality trends in Croatia in the first two decades of the 21st century. In this period, mortality in Croatia was influenced by different socio-economic, demographic, and epidemiological factors. Given the lack of recent papers dealing with mortality in Croatia, the main aim of this paper is to provide an overview of the changes in selected mortality indicators and contribute to the discussion on recent mortality trends in Croatia. The results of this research indicate that Croatia experienced some positive changes regarding mortality (increase of life expectancy at birth and decrease of infant mortality rates in the first period, in particular), but, some of the trends are not favourable, particularly the changes in the causes of death. Although improvements were observed regarding the share of deaths caused by the diseases of the circulatory system, there was a notable increase in deaths caused by the endocrine, nutritional and metabolic diseases which can be attributed to the unhealthy lifestyle and various behavioural factors.

Modeling reality with mathematics

Simulating the behavior of a human heart, predicting tomorrow's weather, optimizing the aerodynamics of a sailboat, finding the ideal cooking time for a hamburger: to solve these problems, cardiologists, meteorologists, sportsmen, and engineers can count on math help. This book will lead you to the discovery of a magical world, made up of equations, in which a huge variety of important problems for our life can find useful answers. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. All rights reserved.

Invited Commentary: Modern Epidemiology Confronts COVID-19-Reflections From Psychiatric Epidemiology.

Dimitris et al. (Am J Epidemiol. 2022;191(6):980-986) outline how the coronavirus disease 2019 (COVID-19) pandemic has, with mixed results, put epidemiology under the spotlight. While epidemiologic theory and methods have been critical in many successes, the ongoing global death toll from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the sometimes chaotic public messaging underscore that epidemiology as a field has room for improvement. Here, we use examples from psychiatric epidemiologic studies conducted during the COVID-19 era to reflect on errors driven by overlooking specific major methodological advances of modern epidemiology. We focus on: 1) use of nonrepresentative sampling in online surveys, which limits the potential knowledge to be gained from descriptive studies and amplifies collider stratification bias in causal studies; and 2) failure to acknowledge multiple versions of exposures (e.g., lockdown, school closure) and differences in prevalence of effect measure modifiers across contexts, which causes violations of the consistency assumption and lack of effect transportability. We finish by highlighting: 1) the heterogeneity of psychiatric epidemiologic results during the pandemic across place and sociodemographic groups and over time; 2) the importance of following the foundational advancements of modern epidemiology even in emergency settings; and 3) the need to limit the role of political agendas in cherry-picking and reporting epidemiologic evidence.

Vaccine Preventable Disease Seroprevalence in a Nationwide Assessment of Timor-Leste (VASINA-TL): study protocol for a population-representative cross-sectional serosurvey.

INTRODUCTION: Historic disruption in health infrastructure combined with data from a recent vaccine coverage survey suggests there are likely significant immunity gaps to vaccine preventable diseases and high risk of outbreaks in Timor-Leste. Community-based serological surveillance is an important tool to augment understanding of population-level immunity achieved through vaccine coverage and/or derived from prior infection. METHODS AND ANALYSIS: This national population-representative serosurvey will take a three-stage cluster sample and aims to include 5600 individuals above 1 year of age. Serum samples will be collected by phlebotomy and analysed for measles IgG, rubella IgG, SARS-CoV-2 antispike protein IgG, hepatitis B surface antibody and hepatitis B core antigen using commercially available chemiluminescent immunoassays or ELISA. In addition to crude prevalence estimates and to account for differences in Timor-Leste's age structure, stratified age-standardised prevalence estimates will be calculated, using Asia in 2013 as the standard population. Additionally, this survey will derive a national asset of serum and dried blood spot samples which can be used for further investigation of infectious disease seroepidemiology and/or validation of existing and novel serological assays for infectious diseases. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Research Ethics and Technical Committee of the Instituto Nacional da Saúde, Timor-Leste and the Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research, Australia. Co-designing this study with Timor-Leste's Ministry-of-Health and other relevant partner organisations will allow immediate translation of findings into public health policy, which may include changes to routine immunisation service delivery and/or plans for supplementary immunisation activities.

New Trends in Fuzzy Modeling Through Numerical Techniques

Amoebiasis is a parasitic intestinal infection caused by the highly pathogenic amoeba Entamoeba histolytica. It is spread through person-to -person contact or by eating or drinking food or water contaminated with feces. Its transmission rate depends on the number of cysts present in the environment. The traditional models assumed a homogeneous and contra-dictory transmission with reality. The heterogeneity of its transmission rate is a significant factor when modeling disease dynamics. The heterogeneity of disease transmission can be described mathematically by introducing fuzzy theory. In this context, a fuzzy SEIR Amoebiasis disease model is consid-ered in this study. The equilibrium analysis and reproductive number are studied with fuzziness. Two numerical schemes forward Euler method and a nonstandard finite difference (NSFD) approach, are developed for the learned model, and the results of numerical simulations are presented. The numerical and simulation results reveal that the proposed NSFD method provides an adequate representation of the dynamics of the disease despite the uncertainty and heterogeneity. Moreover, the obtained method generates plausible predictions that regulators can use to support decision-making to design and develop control strategies.

Epidemiological characteristics and disease spectrum analysis of outpatients in the dermatology department of a hospital in Wuhan during the COVID-19 epidemic.

Objective: To investigate epidemiological characteristics of outpatients and disease spectrum in the dermatology department during the COVID-19 epidemic Methods: A retrospective comparison of outpatient visits, gender, age and disease types in the dermatology department of Wuhan No.1 Hospital was performed between COVID-19 epidemic period (from 23th January 2020 to 15th April 2020) and the same period in 2019. Enumeration data were analyzed by Pearson's chi-square test. Result(s): During the COVID-19 epidemic, the number of outpatient visits to the dermatology department of the hospital decreased markedly, and the average daily number of outpatient visits (236 visits/day) was only 8.81% of that during the same period in 2019 (2 678 visits/day) ;the ratio of male to female patients was reversed from 1:1.37 in 2019 to 1.16:1 in 2020;the proportions of patients aged 0-6, 7-12, 13-17 and 18-45 years significantly decreased compared with those in 2019 (all P < 0.001), and the proportions of patients aged 46-69 and > 69 years significantly increased (both P < 0.001). During the COVID-19 epidemic, there were 171 types of skin diseases in the dermatology outpatient department, and the number of disease categories decreased compared with that during the same period in 2019 (442 types) ;the number of patient visits for allergic skin diseases, erythematous papulosquamous skin diseases, viral infectious skin diseases and bacterial infectious skin diseases significantly increased compared with that during the same period in 2019 (all P < 0.001), while the number of patient visits for sebaceous and sweat gland disorders, pigmented skin diseases and physical skin diseases significantly decreased (all P < 0.001). Conclusion(s): Compared with the same period in 2019, the number of outpatient visits, patient sex ratio, age distribution and disease types in the dermatology department have undergone marked changes during the COVID-19 epidemic, and this study provides a reference for healthcare workers in dermatology department to respond to various epidemics and natural disasters in the future.Copyright © 2021 by the Chinese Medical Association.

The Epidemiologic Transition in French Guiana: Secular Trends and Setbacks, and Comparisons with Continental France and South American Countries.

There are great variations between population subgroups, notably in poorer countries, leading to substantial inconsistencies with those predicted by the classical epidemiologic transition theory. In this context, using public data, we aimed to determine how the singular case of French Guiana fit and transitioned in the epidemiologic transition framework. The data show a gradual decline in infant mortality to values above 8 per 1000 live births. Premature mortality rates were greater but declined more rapidly in French Guiana than in mainland France until 2017 when they reascended in a context of political turmoil followed by the COVID-19 pandemic and strong reluctance to get vaccinated. Although infections were a more frequent cause of death in French Guiana, there is a marked decline and circulatory and metabolic causes are major causes of premature death. Fertility rates remain high (>3 live births per woman), and the age structure of the population is still pyramid-shaped. The singularities of French Guiana (rich country, universal health system, widespread poverty) explain why its transition does not fit neatly within the usual stages of transition. Beyond gradual improvements in secular trends, the data also suggest that political turmoil and fake news may have detrimentally affected mortality in French Guiana and reversed improving trends.

Factors associated with having COVID-19 among unvaccinated pregnant and non-pregnant women in Metro Manila, Philippines: a multicentre longitudinal cohort study.

OBJECTIVE: To determine the potential risk factors associated with having COVID-19 among unvaccinated pregnant and non-pregnant women. DESIGN: A multicentre prospective cohort study among eligible women in Metro Manila, Philippines, from 2020 to 2022. SETTING: Five national and local hospital research sites altogether recruited and screened 500 consenting eligible individuals. PARTICIPANTS: Pregnant and non-pregnant participants meeting the eligibility criteria were admitted for a reverse-transcription PCR determination of SARS-CoV-2, pregnancy testing and ultrasound, and an interview with an administered questionnaire. EXPOSURES: Primary exposure was pregnancy; secondary exposures involve sociodemographic, lifestyle and obstetric-gynaecologic factors. OUTCOME MEASURE: Outcome being measured was COVID-19 status. RESULTS: The significant COVID-19 risk factors were: pregnancy (PR=1.184, 95% CI 1.096, 1.279), having a white-collar job (PR=1.123, 95% CI 1.02, 1.235), travelling abroad (PR=1.369, 95% CI 1.083, 1.173) and being infected by at least one vaccine-preventable disease (VPD) (PR=1.208, 95% CI 1.113, 1.310). Protective factors included having graduate-level education (PR=0.787, 95% CI 0.649, 0.954), immunisation against a VPD (PR=0.795, 95% CI 0.733, 0.862) and practising contraception (PR=0.889, 95% CI 0.824, 0.960). CONCLUSION: This study is the first in the country to determine the risks influencing COVID-19 infection among unvaccinated pregnant and non-pregnant women. Pregnancy is a significant risk for COVID-19 among women in Metro Manila. Educational attainment and positive health behaviours seem to confer protection. Occupations and activities that increase the frequency of interactions, as well as history of communicable diseases may predispose women to COVID-19. Further studies are needed to elucidate the development of the disease in pregnant women, including the maternal and neonatal effects of COVID-19 via potential vertical mechanisms of transmission.

A systematic outbreak investigation of SARS-CoV-2 transmission clusters in a tertiary academic care center.

BACKGROUND: We sought to decipher transmission pathways in healthcare-associated infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within our hospital by epidemiological work-up and complementary whole genome sequencing (WGS). We report the findings of the four largest epidemiologic clusters of SARS-CoV-2 transmission occurring during the second wave of the pandemic from 11/2020 to 12/2020. METHODS: At the University Hospital Basel, Switzerland, systematic outbreak investigation is initiated at detection of any nosocomial case of SARS-CoV-2 infection, as confirmed by polymerase chain reaction, occurring more than five days after admission. Clusters of nosocomial infections, defined as the detection of at least two positive patients and/or healthcare workers (HCWs) within one week with an epidemiological link, were further investigated by WGS on respective strains. RESULTS: The four epidemiologic clusters included 40 patients and 60 HCWs. Sequencing data was available for 70% of all involved cases (28 patients and 42 HCWs), confirmed epidemiologically suspected in house transmission in 33 cases (47.1% of sequenced cases) and excluded transmission in the remaining 37 cases (52.9%). Among cases with identical strains, epidemiologic work-up suggested transmission mainly through a ward-based exposure (24/33, 72.7%), more commonly affecting HCWs (16/24, 66.7%) than patients (8/24, 33.3%), followed by transmission between patients (6/33, 18.2%), and among HCWs and patients (3/33, 9.1%, respectively two HCWs and one patient). CONCLUSIONS: Phylogenetic analyses revealed important insights into transmission pathways supporting less than 50% of epidemiologically suspected SARS-CoV-2 transmissions. The remainder of cases most likely reflect community-acquired infection randomly detected by outbreak investigation. Notably, most transmissions occurred between HCWs, possibly indicating lower perception of the risk of infection during contacts among HCWs.

Epidemiological Surveillance Reveals the Rise and Establishment of the Omicron SARS-CoV-2 Variant in Brazil.

The introduction of SARS-CoV-2 variants of concern (VOCs) in Brazil has been associated with major impacts on the epidemiological and public health scenario. In this study, 291,571 samples were investigated for SARS-CoV-2 variants from August 2021 to March 2022 (the highest peak of positive cases) in four geographical regions of Brazil. To identify the frequency, introduction, and dispersion of SARS-CoV-2 variants in 12 Brazilian capitals, VOCs defining spike mutations were identified in 35,735 samples through genotyping and viral genome sequencing. Omicron VOC was detected in late November 2021 and replaced the Delta VOC in approximately 3.5 weeks. We estimated viral load differences between SARS-CoV-2 Delta and Omicron through the evaluation of the RT-qPCR cycle threshold (Ct) score in 77,262 samples. The analysis demonstrated that the Omicron VOC has a lower viral load in infected patients than the Delta VOC. Analyses of clinical outcomes in 17,586 patients across the country indicated that individuals infected with Omicron were less likely to need ventilatory support. The results of our study reinforce the importance of surveillance programs at the national level and showed the introduction and faster dispersion of Omicron over Delta VOC in Brazil without increasing the numbers of severe cases of COVID-19.

Depression in older adults during the COVID-19 pandemic: A systematic review.

BACKGROUND: Depression affected 5.7% of people aged 60 years and over prior to the pandemic and has increased by approximately 28%. The aim of this study is to identify and describe factors associated with depressive symptoms, the diagnostic assessment instruments and interventions used to evaluate and treat depression in adults aged 60 years and older since the onset of the COVID-19 pandemic. METHODS: Four electronic databases were systematically searched to identify eligible studies published since the beginning of the COVID-19 pandemic. A total of 832 articles were screened, of which 53 met the inclusion criteria. RESULTS: Factors contributing to depressive symptoms in older adults prior to the pandemic were grouped into the following categories: sociodemographic characteristics (i.e., being female); loneliness and weak social support; limitations in daily functioning, physical activity and neurocognitive impairment; and clinical factors. The following groups of factors directly related to the pandemic were found: stress-related factors and feelings or worries related to the pandemic; information access (e.g., receiving news about COVID-19 through the media); factors directly related to COVID-19 (e.g., having infected acquaintances); and factors related to the measures that were taken to reduce the spread of COVID-19 (e.g., confinement measures). The most frequently used instrument to assess depressive symptoms was the Geriatric Depression Scale Short Form (GDS-SF). Four studies implemented interventions during the pandemic that led to significant reductions in depressive symptoms and feelings of loneliness. CONCLUSIONS: Improved understanding of pandemic-associated risk factors for depression can inform person-cantered care. It is important continued mental healthcare for depression for older adults throughout crises, such as the COVID-19 pandemic. Remote delivery of mental healthcare represents an important alternative during such times. It is crucial to address depression in older adults (which often causes disability), since the pandemic situation has increased depressive symptoms in this population.

Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency.

Scholars and experts argue that future pandemics and/or epidemics are inevitable events, and the problem is not whether they will occur, but when a new health emergency will emerge. In this uncertain scenario, one of the most important questions is an accurate prevention, preparedness and prediction for the next pandemic. The main goal of this study is twofold: first, the clarification of sources and factors that may trigger pandemic threats; second, the examination of prediction models of on-going pandemics, showing pros and cons. Results, based on in-depth systematic review, show the vital role of environmental factors in the spread of Coronavirus Disease 2019 (COVID-19), and many limitations of the epidemiologic models of prediction because of the complex interactions between the new viral agent SARS-CoV-2, environment and society that have generated variants and sub-variants with rapid transmission. The insights here are, whenever possible, to clarify these aspects associated with public health in order to provide lessons learned of health policy that may reduce risks of emergence and diffusion of new pandemics having negative societal impact.

Wastewater pandemic preparedness: Toward an end-to-end pathogen monitoring program.

Molecular analysis of public wastewater has great potential as a harbinger for community health and health threats. Long-used to monitor the presence of enteric viruses, in particular polio, recent successes of wastewater as a reliable lead indicator for trends in SARS-CoV-2 levels and hospital admissions has generated optimism and emerging evidence that similar science can be applied to other pathogens of pandemic potential (PPPs), especially respiratory viruses and their variants of concern (VOC). However, there are substantial challenges associated with implementation of this ideal, namely that multiple and distinct fields of inquiry must be bridged and coordinated. These include engineering, molecular sciences, temporal-geospatial analytics, epidemiology and medical, and governmental and public health messaging, all of which present their own caveats. Here, we outline a framework for an integrated, state-wide, end-to-end human pathogen monitoring program using wastewater to track viral PPPs.

COVID-19 Outbreak in a Military Unit in Korea.

OBJECTIVES: This study presents the response of a military unit to the COVID-19 outbreak in Gyeonggi Province. As soon as two soldiers were identified as index cases, the infectious disease investigators of the Gyeonggi Provincial Government, Korea Disease Control and Prevention Agency and the Armed Forces Epidemiologic Investigation Center, discussed the investigation and response plan for an imminent massive outbreak. METHODS: The joint immediate response team (IRT) conducted interviews with confirmed patients with COVID-19, reviewed medical records, performed contact tracing using global positioning system (GPS), and undertook a field investigation. For risk assessment, the joint IRT visited all eight sites of the military units and the army chaplain's church to evaluate the transmission risk of each site. The evaluation items included the size of the site, the use of air conditioning, whether windows were opened, and whether masks were worn. A pooled testing was used for a low-risk population to quickly detect the spread of COVID-19 in the military base. RESULTS: A day before the symptom onset of the index case, the lecturer and >50% of the attendees were infected with COVID-19 while attending a lecture that lasted 2 h and 30 min. Attendees were not wearing masks and were in a poorly ventilated room. CONCLUSION: Since the disease can be spread before symptom onset, contact tracing must be performed to investigate potential exposures prior to symptom onset and manage any exposed persons.

Lessons learned: A look back at the performance of nine COVID-19 serologic assays and their proposed utility.

BACKGROUND: Serologic assays for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been proposed to assist with the acute diagnosis of infection, support epidemiological studies, identify convalescent plasma donors, and evaluate vaccine response. METHODS: We report an evaluation of nine serologic assays: Abbott (AB) and Epitope (EP) IgG and IgM, EUROIMMUN (EU) IgG and IgA, Roche anti-N (RN TOT) and anti-S (RS TOT) total antibody, and DiaSorin (DS) IgG. We evaluated 291 negative controls (NEG CTRL), 91 PCR positive (PCR POS) patients (179 samples), 126 convalescent plasma donors (CPD), 27 healthy vaccinated donors (VD), and 20 allogeneic hematopoietic stem cell transplant (HSCT) recipients (45 samples). RESULTS: We observed good agreement with the method performance claims for specificity (93-100%) in NEG CTRL but only 85% for EU IgA. The sensitivity claims in the first 2 weeks of symptom onset was lower (26-61%) than performance claims based on > 2 weeks since PCR positivity. We observed high sensitivities (94-100%) in CPD except for AB IgM (77%), EP IgM (0%). Significantly higher RS TOT was observed for Moderna vaccine recipients then Pfizer (p-values < 0.0001). A sustained RS TOT response was observed for the five months following vaccination. HSCT recipients demonstrated significantly lower RS TOT than healthy VD (p < 0.0001) at dose 2 and 4 weeks after. CONCLUSIONS: Our data suggests against the use of anti-SARS-CoV-2 assays to aid in acute diagnosis. RN TOT and RS TOT can readily identify past-resolved infection and vaccine response in the absence of native infection. We provide an estimate of expected antibody response in healthy VD over the time course of vaccination for which to compare antibody responses in immunosuppressed patients.

Epidemiological features, genomic characteristics, and origin tracing of the COVID-19 outbreaks in Beijing from January to September 2022.

Different variants of severe acute respiratory syndrome coronavirus 2 have been discovered globally. At present, the Omicron variant has been extensively circulated worldwide. There have been several outbreaks of the Omicron variant in China. Here, we investigated the epidemiologic, genetic characteristics, and origin-tracing data of the outbreaks of COVID-19 in Beijing from January to September 2022. During this time, 19 outbreaks occurred in Beijing, with the infected cases ranging from 2 to 2230. Two concern variants were detected, with eight genotypes. Based on origin tracing analysis, two outbreaks were from the cold-chain transmission and three from items contaminated by humans. Imported cases have caused other outbreaks. Our study provided a detailed analysis of Beijing's outbreaks and valuable information to control the outbreak's spread.

Genetic characterization of four strains porcine circovirus-like viruses in pigs with diarrhea in Hunan Province of China.

In this study, we detected a circular replication-associated protein (Rep)-encoding single-stranded (CRESS) DNA virus [named Po-Circo-like (PCL) virus] in intestinal tissue and fecal samples of pigs. PCL virus contains a single-stranded DNA genome, and ORF1 encodes the Rep and not the typical capsid protein encoded in PCV. The Rep protein may be responsible for viral genome replication. In addition, PCL virus may be one of the pathogens causing diarrhea symptoms in pigs. We identified four strains of PCL virus in two different pig farms with severe diarrhea outbreaks in Hunan Province, China. The strains in this study share 85.7-99.7% nucleic acid identity and 84.7-100% amino acid identity with Rep of the reference strains. A multiple sequence alignment of these PCL viruses and Bo-Circo-like CH showed a identity of 93.2% for the Rep protein, and the nucleotide identity was 86.7-89.3%. Moreover, Bo-Circo-like CH and HN75, HN39-01, HN39-02 had similar stem-loop sequences. In conclusion, the present study is the first detailed report of the PCL virus in Hunan provinces, which is a potential new virus in pigs that might be involved in cross-species transmission. Further investigation is needed to determine the pathogenesis of this virus and its epidemiologic impact.