World Health Organization Website Research Articles

Evaluation of Healthcare Workers Attitudes Toward Handling and Treating COVID-19 Patients in Diyala Governorate, Iraq

Background: In 2019, the World Health Organization (WHO) declared a global state of emergency due to the spread of the COVID-19 pandemic. Objective: This study aimed to determine the attitudes of healthcare workers in various Iraqi health institutions towards treating patients with COVID-19. Additionally, it aimed to identify the most important reasons behind preventing them from doing their job. Methods: Between Nov. 2021 to Dec. 2022, we conducted a self-administered cross-sectional survey of 207 healthcare worker participants. The data were collected using a questionnaire that included three parts. The first part included sociodemographic data, the second part aimed to assess the participants’ information concerning how they dealt with this pandemic, and the third part was designed to identify the participants’ attitudes. The statistic data were analysed by using (SPSS), 25.0/ IBM Crop., Armonk, NY. The scientific content of the questionnaire items was taken from the online literature as well as updated information on the WHO website. Results: The results study revealed that 135 (65.22\%) of the participants were willing to receive and treat COVID-19 patients in hospitals and private clinics. While 72 (34.78\%) of the study participants showed their unwillingness to treat infected patients. The most crucial reasons behind their reluctance were the fear of transmission of infection and the lack of protective equipment. Conclusion: The study concluded that the participants' willingness was good. This was indicated by their positive attitudes toward carrying out their medical duties and commitment to providing health care and treatment for COVID-19 patients. There is an urgent need to reduce psychological and physical stress as well as the pressures that health workers suffer from because they are facing large numbers of daily infections. This reduction is achieved via training, continuous education and equipping hospitals with the latest protective supplies to confront epidemics and pandemics.

Prevalence of postnatal anxiety disorders in mothers of preterm infants: a systematic review protocol.

The objective of this systematic review is to evaluate and synthesize the available evidence on the prevalence of postnatal anxiety disorders in mothers of preterm infants within 12 months of delivery. Mothers of preterm infants report more postpartum psychological problems than other mothers. Anxiety disorders are among the most frequently reported manifestations, and affect the quality of maternal care and the baby's development. However, data on the prevalence of postnatal anxiety disorders in mothers of preterm infants are inconsistent and imprecise. It is, therefore, necessary to estimate the prevalence of anxiety disorders among mothers of premature infants in order to develop appropriate interventions for screening, support, and treatment. This review will consider studies conducted in any setting and any geographical location that report on the prevalence of any anxiety disorders in mothers of preterm infants within 12 months of delivery. Any analytical or descriptive observational studies and experimental or quasi-experimental studies will be included. MEDLINE (Ovid), PsycINFO (Ovid), Embase (Elsevier), CINAHL (EBSCOhost), Google Scholar, MedNar, and the World Health Organization website will be searched for studies written in English or French. Screening, critical appraisal, and data extraction will be performed by 2 independent reviewers using the relevant JBI systematic review tools. The findings will be presented in narrative format, including tables and figures to aid in data presentation. PROSPERO CRD42023428202.

Best evidence summary for awake prone positioning in treating hypoxemic due to COVID-19 infection

Objective: To retrieve, evaluate, and summarize the best evidence for the treatment of hypoxemia in patients with COVID-19 infection using the awake prone positioning, with the aim of guiding healthcare professionals in the standardized implementation of this therapy. Methods: A systematic search was conducted in databases including UpToDate, BMJ Best Practice, JBI Evidence-Based Healthcare Center, American Association of Critical-Care Nurses, Intensive Care Society, European Respiratory Society, World Health Organization website, Cochrane Library, PubMed, China National Knowledge Infrastructure (CNKI), and Wanfang. The retrieved literature was subjected to quality assessment and evidence extraction. Results: A total of ten publications were included, consisting of one thematic evidence summary, one guideline, two systematic reviews, three randomized controlled trials, and three expert consensus statements. This summary synthesizes thirty key pieces of evidence in five categories: organizational management and training, risk assessment, preparatory operations, implementation key points, and risk control. Conclusions: Awake prone positioning is beneficial for improving hypoxemia in patients with COVID-19 and is easy to implement. Medical institutions should develop nursing management systems, operational standards, and best practices for awake prone positioning based on evidence-based evidence in order to improve the quality of care management for such patients.

Поликодовость английских текстов медицинского просвещения: прагматический и лингвокультурный аспекты

The aim of the study is to identify the pragmatic and linguocultural features of polycode English texts of medical education. The article discusses the features of polycode medical education texts posted at the World Health Organization website in the section “Multimedia”. The scientific novelty of the study is determined by the fact that, for the first time, polycode texts of medical education are considered as an effective tool for pragmalinguistic impact in the context of communication aimed at a wide target audience with various receptive-cognitive skills. The results obtained demonstrate that polycode texts of medical education presented in the video section are common and possess the widest range of semiotic codes. These texts can be divided into several groups based on the following criteria: mode of presenting information – cinematic and animated polycode texts, and the topic criterion – texts about vaccination, about the fight against malaria, about science in the “WHO’s Science in 5” section, etc. The pragmatic function is supported by the auditory and visual channels and manifested by verbal and non-verbal sign systems. The information is aimed at various population groups and belongs to mass communication.

Management of infodemics in outbreaks or health crises: a systematic review.

The World Health Organization (WHO) defined an infodemic as an overabundance of information, accurate or not, in the digital and physical space, accompanying an acute health event such as an outbreak or epidemic. It can impact people's risk perceptions, trust, and confidence in the health system, and health workers. As an immediate response, the WHO developed the infodemic management (IM) frameworks, research agenda, intervention frameworks, competencies, and processes for reference by health authorities. This systematic review explored the response to and during acute health events by health authorities and other organizations operating in health. It also assessed the effectiveness of the current interventions. On 26 June 2023, an online database search included Medline (Ovid), Embase, Cochrane Library, Scopus, Epistemonikos, and the WHO website. It included English-only, peer-reviewed studies or reports covering IM processes applied by health organizations that reported their effectiveness. There was no restriction on publication dates. Two independent reviewers conducted all screening, inclusion, and quality assessments, and a third reviewer arbitrated any disagreement between the two reviewers. Reviewers identified 945 records. After a final assessment, 29 studies were included in the review and were published between 2021 and 2023. Some countries (Pakistan, Yemen, Spain, Italy, Hong Kong, Japan, South Korea, Singapore, United Kingdom, United States, New Zealand, Finland, South Korea, and Russia) applied different methods of IM to people's behaviors. These included but were not limited to launching media and TV conservations, using web and scientific database searches, posting science-based COVID-19 information, implementing online surveys, and creating an innovative ecosystem of digital tools, and an Early AI-supported response with Social Listening (EARS) platform. Most of the interventions were effective in containing the harmful effects of COVID-19 infodemic. However, the quality of the evidence was not robust. Most of the infodemic interventions applied during COVID-19 fall within the recommended actions of the WHO IM ecosystem. As a result, the study suggests that more research is needed into the challenges facing health systems in different operational environments and country contexts in relation to designing, implementing, and evaluating IM interventions, strategies, policies, and systems.

Benford’s law analysis to evaluate the quality data of COVID-19 epidemiological surveillance in Indonesia

Countries worldwide, including Indonesia, grappled with the unprecedented challenges brought about by the coronavirus disease (COVID-19) pandemic. Surveillance data vividly illustrates the profound effect of the COVID-19 pandemic in Indonesia. Both daily cases and deaths were raised, revealing the rapid transmission of the virus within communities. A quantitative study using a statistical approach was accomplished with secondary data to evaluate the quality of COVID-19 epidemiological surveillance data in Indonesia during the period between March 2020 to January 2021. The data was sourced from the World Health Organization (WHO) website using data reports on COVID-19 confirmed cases and deaths. A rapid tool called the first digit law or the fulfillment of Benford’s law was used to suggest good data quality for epidemiological surveillance. Data analysis used the Chi-squared test and the log-likelihood ratio test. Also, it displayed the difference in mean absolute deviation (MAD) to identify the proximity of the data and Benford’s law distribution. The results showed that both confirmed, and death case distributions were statistically non-conformity with Benford’s law distribution. In terms of quality data regarding the COVID-19 pandemic, the epidemiological surveillance system falls short of Benford’s law assumption. Benford's law has been acknowledged as an initial analysis that can expeditiously assess the performance of a surveillance system. The next phase of this study would be to conduct a complete evaluation suitably, especially in post-pandemic COVID-19.

The lived experience of people affected by cancer: A global cross-sectional survey protocol.

A diagnosis of cancer impacts the person's physical and mental health and the psychosocial and financial health of their caregivers. While data on the experience of living with cancer is available, there is a dearth of data from persons in low- and middle-income countries (LMICs). The perspectives of other impacted individuals also remain understudied (e.g., bereaved family members), as well as the impact on survivors and their families over time. The objective of this study is to describe the psychosocial and financial impact of cancer on people diagnosed with cancer as a child, adolescent or adult, their families/caregivers, and the family members of those who have died from cancer, in high-income countries (HICs) and LMICs. This study is an observational, descriptive, quantitative study. Data will be collected anonymously via a digital online cross-sectional survey distributed globally by the World Health Organization (WHO) via the LimeSurvey software. Participants will include (a) adults aged 18+ who have been diagnosed with cancer at any age, who are currently undergoing cancer treatment or who have completed cancer treatment; (b) adult family members of individuals of any age with a cancer diagnosis, who are currently undergoing cancer treatment or who have completed cancer treatment; and (c) bereaved family members. Participants will be anonymously recruited via convenience and snowball sampling through networks of organisations related to cancer. Survey results will be analysed quantitatively per respondent group, per time from diagnosis, per disease and country. Results will be disseminated in peer-reviewed journals and at scientific conferences; a summary of results will be available on the WHO website. This study will suggest public health interventions and policy responses to support people affected by cancer and may also lead to subsequent research focusing on the needs of people affected by cancer.

A stylistic analysis of the language of crisis (Covid-19): A transitivity and modality-based study

Speech, simply, is a kind of communication used to convey a speaker's intentions and ideas. The purpose of this study is to evaluate and interpret transitivity and modality as well as their use in Tedros Adhanom Ghebreyesus' Speeches on COVID-19. The data consists of transcripts of two speeches presented at the COVID-19 media briefings on March 11, 2020, and April 1, 2021, which are published on the (World Health Organization website) (www.who.int). The transcripts are reviewed and examined in terms of Halliday's (1994) 'Transitivity theory, as well as Lock's (1996) 'Modality theory'. The findings show that the speeches employed rational, material, mental, behavioral, and linguistic transitivity processes, as well as obligation, potentiality, ability, inclination, usuality, and probability modality. The usage of transitivity and modality, with reference to the context of speeches, reveals different interpretations of meaning. Furthermore, this study contributes and adds efficient methods and good practices to health socialization throughout the pandemic, which has a significant impact on the public's understanding of how to correctly handle COVID-19.

Health Inequality Data Repository

The Health Inequality Data Repository from the World Health Organization (WHO) is a free, open-access selection of publicly available disaggregated data about health and indicators of health. It includes regional and continental data sets from 1950 to 2022, covering all world regions, from 16 sources on more than 2,000 indicators. As of November 2023, the available data set categories are Sustainable Development Goals; WHO Global Health Observatory; COVID-19; Reproductive, Maternal, and Child Health; Immunization; HIV, Tuberculosis, and Malaria; Adult Health; Health Care; Burden of Disease; Disability; Migration; Environmental Health; WHO General Programme of Work; and Beyond the Health Sector (Health Inequality Monitor 2023). The sources of the data sets include publicly available data from the WHO and numerous United Nations (UN) agencies, the Organisation for Economic Co-operation and Development (OECD), the European Union, the US Agency for International Development (USAID), and more. In addition to the data sets, two software options are available. The Health Equity Assessment Toolkit (HEAT) allows users to view the data in various chart and graph formats, and HEAT Plus allows users to upload their own disaggregated data in addition to the available data sets. The Health Inequality Data Repository and its supporting software tools are housed within the Health Inequality Monitor section of the WHO website, and it has numerous educational options related to its resources and goals.

Abstract 269: Promoting Access to Vascular Neurology Services in Underserved Areas of Africa

Introduction Stroke is the most common manifestation of cerebrovascular disease, which requires prompt diagnosis and treatment. As one of the most prevalent causes of death, the third‐major source of illness, and the primary cause of long‐term disability, it is regarded as one of the most significant global health issues. To reduce the rising death and disability due to stroke in Africa, adequate vascular neurology services are crucial. There is little available data on how these services are accessed in African nations. The aim of this study is to outline the underlying reasons for Africa's lack of vascular neurology services as well as the measures required to improve access. Methods Data were collected by reviewing the literature from publications published between the years 2016 – 2023 from online databases including PubMed, Google Scholar and the World Health Organization website. Results Africa currently has some of the highest stroke indices in the world. Stroke is one of the major causes of dementia, disability, and mortality worldwide. The rise in the prevalence of stroke has been attributed to the shortage of vascular neurology services in underdeveloped African nations. Numerous initiatives have been initiated to expand access to these services in particular settings due to the various circumstances that have contributed to their restricted availability; nonetheless, more stroke care policies need to be implemented on a larger scale in order to improve outcomes. Conclusion In particular, for underserved areas, this study gives an overview of the difficulties and opportunities related to the availability of vascular neurology services in Africa. Although the accessibility of these services is still below the necessary levels, legislators, medical experts, and international organizations may collaborate to improve access and outcomes.

Alcohol per capita and prevalence of alcohol exposed pregnancies: systematic review and meta-analysis

Abstract Background Alcohol is a teratogen that crosses the placenta. While studies have estimated the global burden of alcohol use in pregnancy, reliable and valid data on alcohol consumption during pregnancy in many countries is lacking. Alcohol consumption per capita (APC) data are available worldwide. This systematic review, by investigating the association between APC and alcohol consumption in pregnancy by country, aims to evaluate the accuracy of using APC data to predict the prevalence of prenatal alcohol exposure (PAE). Methods This study combines studies identified in a systematic review by Popova et al. 2017 and a systematic search of MEDLINE from 2015 through 6th October 2022, to identify additional papers. Papers identified in either search were on the prevalence of PAE or fetal alcohol syndrome (FAS). Two authors independently screened titles, abstracts, full-text articles and performed data extraction and quality assessment. APC data,per country, by year, was obtained from the World Health Organization (WHO) website. A meta-analysis, assuming a random effects model will be performed. Sensitivity analyses, including restricting by population, timing of exposure, time and method of ascertainment of alcohol consumption will be carried out. Results Of 24,935 PAE and 12,231 FAS prevalence articles identified, 400 PAE studies and 77 FAS studies met the inclusion criteria. Studies represent data from 1959-2020 from all 6 WHO regions, with APC between 0.012-14.78. Preliminary analysis suggests a statistically significant correlation between prevalence of alcohol consumption during pregnancy and APC. Conclusions Preliminary results from this study suggest that publicly available data on APC can be used to predict the population-based prevalence of alcohol use in pregnancy in different countries. Effective policies and interventions are required to reduce APC and thus, alcohol use in pregnancy and associated detrimental child health outcomes around the globe. Key messages • Knowing the prevalence of FAS and its main risk factor- prenatal alcohol use, will inform the setting of priorities for public health policy, public health initiatives, and health-care planning. • By investigating the association between alcohol intake in pregnancy and APC we will assess whether APC can predict alcohol intake in pregnancy.

Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study.

To identify and analyze population interest in obesity, nutrition, and occupational health and safety and its relationship with the worldwide prevalence of obesity through information search trends. In this ecological study, data were obtained through online access to Google Trends using the topics "obesity", "nutrition", and "occupational health and safety". Obesity data were obtained from the World Health Organization (WHO) website for crude adult prevalence and estimates by region. The variables studied were relative search volume (RSV), temporal evolution, milestone, trend, and seasonality. The temporal evolution of the search trends was examined by regression analysis (R2). To assess the relationship between quantitative variables, the Spearman correlation coefficient (Rho) was used. Seasonality was verified using the augmented Dickey-Fuller (ADF) test. The RSV trends were as follows: obesity (R2 = 0.04, p = 0.004); nutrition (R2 = 0.42, p < 0.001); and occupational health and safety (R2 = 0.45, p < 0.001). The analysis of seasonality showed the absence of a temporal pattern (p < 0.05 for all terms). The associations between world obesity prevalence (WOP) and the different RSVs were as follows: WOP versus RSV obesity, Rho = -0.79, p = 0.003; WOP versus RSV nutrition, Rho = 0.57, p = 0.044; and WOP versus RSV occupational health and safety, Rho = -0.93, p = 0.001. Population interest in obesity continues to be a trend in countries with the highest prevalence, although there are clear signs popularity loss in favor of searches focused on possible solutions and treatments, with a notable increase in searches related to nutrition and diet. Despite the fact that most people spend a large part of their time in the workplace and that interventions including various strategies have been shown to be useful in combating overweight and obesity, there has been a decrease in the population's interest in information related to obesity in the workplace. This information can be used as a guide for public health approaches to obesity and its relationship to nutrition and a healthy diet, approaches that are of equal utility and applicability in occupational health.

Application of the multiple dependent state sampling strategy to late adolescent suicide rates

A multiple dependent state sampling plan (MDSSP) is designed when the lifetimes of the variables follow New Lomax Rayleigh Distribution (NLRD). The decision to accept or reject a lot in the proposed methodology is based on the quality of the given present or previous lots. A binomial model-based operating characteristic curve (OC curve) for continuous lots of variables under similar settings in healthcare is used in finding the probability of acceptance, acceptance number, rejection number, and the number of preceding (succeeding) lots to consider. Time truncated life test based on the specified median of the NLRD is used in designing the current acceptance sampling plan. For specified values of the parameters of NLRD, quantile ratios, consumer’s risk and producer’s risk, average sampling number (ASN) and probability of acceptance of a lot are reported in tables. Real data on worldwide suicide rates of 15–19 years in the year 2019 from the World Health Organization (WHO) website is considered to illustrate this methodology. The minimum sample size required from the selected data to comment on worldwide suicide rates in late adolescents is explained with MDSSP. The results of the proposed acceptance sampling method are compared with the single-stage sampling plan.

Global Stillbirth Policy Review - Outcomes And Implications Ahead of the 2030 Sustainable Development Goal Agenda.

Globally, data on stillbirth is limited. A call to action has been issued to governments to address the data gap by strengthening national policies and strategies to drive urgent action on stillbirth reduction. This study aims to understand the policy environment for stillbirths to advance stillbirth recording and reporting in data systems. A systematic three-step process (survey tool examination, identifying relevant study questions, and reviewing country responses to the survey and national documents) was taken to review country responses to the global 2018-2019 World Health Organization (WHO) Reproductive, Maternal, Neonatal, Child and Adolescent Health (RMNCAH) Policy Survey. Policy Survey responses were reviewed to identify if and how stillbirths were included in national documents. This paper uses descriptive analyses to identify and describe the relationship between multiple variables. Responses from 155 countries to the survey were analysed, and over 800 national policy documents submitted by countries in English reviewed. Fewer than one-fifth of countries have an established stillbirth rate (SBR) target, with higher percentages reported for under-5 (71.0%) and neonatal mortality (68.5%). Two-thirds (65.8%) of countries reported a national maternal death review panel. Less than half (43.9%) of countries have a national policy that requires stillbirths to be reviewed. Two-thirds of countries have a national policy requiring review of neonatal deaths. WHO websites and national health statistics reports are the common data sources for stillbirth estimates. Countries that are signatories to global initiatives on stillbirth reduction have established national targets. Globally, nearly all countries (94.8%) have a national policy that requires every death to be registered. However, 45.5% of reviewed national policy documents made mention of registering stillbirths. Only 5 countries had national policy documents recommending training of health workers in filling out death certificates using the International Classification of Diseases (ICD)-10 for stillbirths. The current policy environment in countries is not supportive for identifying stillbirths and recording causes of death. This is likely to contribute to slow progress in stillbirth reduction. The paper proposes policy recommendations to make every baby count.

Looking for SARS-CoV-2 Therapeutics Through Computational Approaches.

In the last few years, in silico tools, including drug repurposing coupled with structure-based virtual screening, have been extensively employed to look for anti-COVID-19 agents. The present review aims to provide readers with a portrayal of computational approaches that could be conducted more quickly and cheaply to novel anti-viral agents. Particular attention is given to docking-based virtual screening. The World Health Organization website was consulted to gain the latest information on SARS-CoV-2, its novel variants and their interplay with COVID-19 severity and treatment options. The Protein Data Bank was explored to look for 3D coordinates of SARS-CoV-2 proteins in their free and bound states, in the wild-types and mutated forms. Recent literature related to in silico studies focused on SARS-CoV-2 proteins was searched through PubMed. A large amount of work has been devoted thus far to computationally targeting viral entry and searching for inhibitors of the S-protein/ACE2 receptor complex. Another large area of investigation is linked to in silico identification of molecules able to block viral proteases -including Mpro- thus avoiding maturation of proteins crucial for virus life cycle. Such computational studies have explored the inhibitory potential of the most diverse molecule databases (including plant extracts, dietary compounds, FDA approved drugs). More efforts need to be dedicated in the close future to experimentally validate the therapeutic power of in silico identified compounds in order to catch, among the wide ensemble of computational hits, novel therapeutics to prevent and/or treat COVID- 19.

COWAVE: A labelled COVID-19 wave dataset for building predictive models.

The ongoing COVID-19 pandemic has posed a significant global challenge to healthcare systems. Every country has seen multiple waves of this disease, placing a considerable strain on healthcare resources. Across the world, the pandemic has motivated diligent data collection, with an enormous amount of data being available in the public domain. In this manuscript, we collate COVID-19 case data from around the world (available on the World Health Organization (WHO) website), and provide various definitions for waves. Using these definitions to define labels, we create a labelled dataset, which can be used while building supervised learning classifiers. We also use a simple eXtreme Gradient Boosting (XGBoost) model to provide a minimum standard for future classifiers trained on this dataset and demonstrate the utility of our dataset for the prediction of (future) waves. This dataset will be a valuable resource for epidemiologists and others interested in the early prediction of future waves. The datasets are available from https://github.com/RamanLab/COWAVE/.

Transitivity and Modality Analysis of Tedros Adhanom Ghebreyesus’s Speeches on Handling COVID-19

Speech is one of the communication media that can be used to convey certain ideas and intentions of the speaker. The current study aims to analyze the use of transitivity and modality in Tedros Adhanom Ghebreyesus’s speeches on handling COVID-19 and interpret their meanings. Data comprises the transcripts of two speeches delivered at the media briefing on COVID-19 on 11 March 2020 and 1 April 2021 available on the World Health Organization website (www.who.int). The transcripts were then examined and evaluated using Halliday’s (1994) transitivity theory and Halliday's (1994) and Lock’s (1996) modality theories. The results reveal that the speeches made use of material, relational, mental, behavioral, verbal, and existential processes of transitivity, as well as potentiality/ability, obligation, usuality, inclination, and probability of modality. Depending on the contexts of speech, the use of transitivity and modality indicates certain interpretations of meaning. Moreover, this study contributes best practices to health socialization during the pandemic and gives a great impact on the public’s better understanding of how to properly handle COVID-19.

Exploring the effects of adiponectin and leptin in correlating obesity with cognitive decline: a systematic review.

Obesity and cognitive decline including dementia and Alzheimer's Disease (AD) affect millions worldwide. Several studies have shown that obese individuals suffer from cognitive decline. Here, we suggest that adiponectin and leptin, protein hormones secreted by white adipose tissue explain the relationship between obesity and cognitive decline. We systematically searched PubMed and World Health Organization (WHO) websites with the keywords obesity and dementia and compiled literature that explains how adiponectin and leptin impact obesity and cognitive decline. Full-text, free-access articles on PubMed published after 2009 have been included. Whereas articles published before 2009, books, and reports were excluded. We concentrated on mechanisms via which adiponectin and leptin affect energy expenditure, fatty acid catabolism, satiety, hunger, Body Mass Index (BMI), neurogenesis, and brain structures that lead to the development of cognitive dysfunction. Moreover, we hypothesized that adiponectin and leptin hormones explain how obesity and dementia are connected. After compiling the research studies, we summarized that adiponectin and leptin negatively correlate to BMI. Adiponectin arbitrates energy expenditure and fatty acid catabolism to prevent obesity. In the presence of adiponectin, hippocampal cells proliferate, whereas neurogenesis is reduced in its absence. However, leptin prevents obesity by promoting satiety, reducing hunger, and increasing insulin sensitivity. It also has neuroprotective effects thus reducing the risk of developing cognitive decline. So, physical exercise, diet alteration, weight reduction, adiponectin, and leptin supplementation should be carried out to protect against obesity-induced cognitive decline. Therefore, further research studies should be done in this area.

Performance of discrete wavelet transform-based method in the detection of influenza outbreaks in Iran: An ecological study.

Timely detection of outbreaks is one of the main purposes of the health surveillance system. The presence of appropriate methods in the detection of outbreaks can have an important role in the timely detection of outbreaks. Because of the importance of this issue, this study aimed to assess the performance of discrete wavelet transform (DWT) based methods in detecting influenza outbreaks in Iran from January 2010 to January 2020. All registered influenza-positive virus cases in Iran from January 2010 to January 2010 were obtained from the FluNet web base tool, the World Health Organization website. The combination method that includes DWT and Shewhart control chart was used in this study. All analyses were performed using MATLAB software version 2018a Stata software version 15. The Mean ± SD and median of reported influenza cases from January 2010 to January 2020 was 36 ± 108 and four cases per week. The combination of the DWT and Shewhart control chart with K = 0.25 had the most sensitivity. The most specificity in the detection of nonoutbreak days was seen in the combination of DWT and Shewhart control chart with K = 1.5, K = 1.75, and K = 2, respectively. The combination of DWT and Shewhart control chart with K = 0.5 had the best performance in the detection of outbreaks (sensitivity = 0.64, specificity: 0.90, Youden index: 0.54, and area under the curve [AUC]: 0.77). The DWT-based method in detecting influenza outbreaks has acceptable performance, but it is recommended that this method's performance be assessed in detecting outbreaks of other infectious diseases.

Pandemic “Covid-19 – Postcovid Syndrome”: A System Method of Leeching is a New and Effective Treatment

In March 2023 (March 11, 2023), it is 3 years since the World Health Organization (WHO) declared a pandemic of a new virus called “COVID-19”. As of March 21, 2023, the WHO website has reported 761,071,826 confirmed cases of “COVID-19”, including 6,879,677 deaths (0.9%). A total of 13,260,401,200 doses of various vaccines have been administered. WHO continues to collect statistics on the incidence of the disease in the world until the pandemic is stopped, despite the vaccination measures taken. What are the lessons of the pandemic that health authorities around the world have learned in three years? The mechanism of the “COVID-19” disease has become clearer. The concept of “POSTCOVID SYNDROME” or “LONG COVID” is developing. Work continues to improve vaccines, the use of which has revealed the negative aspects of vaccination.