ABSTRACT
Background & Objective: Screening and timely diagnosis of positive individuals is one of the important issues in controlling pandemic of Covid-19. Early and timely diagnosis of asymptomatic individuals, contact tracking, disconnection of Covid-19 transmission chain through early detection of patients and decreasing R0 were the main objectives of the current study. Materials & Methods: The Covid-19 outpatient sampling detection project started in Zanjan province on March 26, 2020 and samples were taken from people suspected of having Corona Virus and people in contact with these patients. Results: All 31,937 cases (48% male, 52% female) who had referred to Comprehensive Health Care Centers until May 16, 2020, were selected. A considerable percentage of incidences were observed in Zanjan and Khodabandeh cities. 20% of the examined samples had positive results. A substantial incidence was found in the age group of over 70-year-old. Following implementation of the outpatient screening project, R0 fell below 1 in the province. Conclusion: Prior to the implementation of Covid-19 laboratorial outpatient screening project, the value of R0 was 1.4 in Zanjan province. However, this value fell below 1, after implementation of the laboratorial outpatient screening indicating that the principal way to effectively control Covid-19 is to detect positive cases and manage them.
ABSTRACT
Background and Aim: Covid-19 pandemic has caused significant disruptions in the provision of non-communicable disease prevention and management services in many countries and there is a concern that this disorder will lead to long-term complications of these diseases;This study aimed to quantitatively analyze the status of some prevention and management services of non-communicable diseases in the primary health care system of Iran during the Covid-19 pandemic. Materials and Methods: In this study, the routine data of 8 services related to the prevention and management of non-communicable diseases in the integrated electronic health record system (SIB) within 10 months after the outbreak of Covid-19 were compared to the same period last year.
ABSTRACT
Background: Serological surveillance of COVID-19 through conducting repetitive population-based surveys can be useful in estimating and monitoring changes in the prevalence of infection across the country. This paper presents the protocol of nationwide population-based surveys of the Iranian COVID-19 Serological Surveillance (ICS) program. Methods: The target population of the surveys is all individuals ≥6 years in Iran. Stratified random sampling will be used to select participants from those registered in the primary health care electronic record systems in Iran. The strata are the 31 provinces of the country, in which sampling will be done through simple random sampling. The sample size is estimated 858 individuals for each province (except for Tehran province, which is 2574) at the first survey. It will be recalculated for the next surveys based on the findings of the first survey. The participants will be invited by the community health workers to the safe blood sampling centers at the district level. After obtaining written informed consent, 10 mL of venous blood will be taken from the participants. The blood samples will be transferred to selected reference laboratories in order to test IgG and IgM antibodies against COVID-19 using an Iranian SARS-CoV-2 ELISA Kit (Pishtaz Teb). A serologically positive test is defined as a positive IgG, IgM, or both. After adjusting for the measurement error of the laboratory test, nonresponse bias, and sampling design, the prevalence of COVID-19 will be estimated at the provincial and national levels. Also, the approximate incidence rate of infection will be calculated based on the data of both consecutive surveys. Conclusion: The implementation of these surveys will provide a comprehensive and clear picture of the magnitude of COVID-19 infection and its trend over time for health policymakers at the national and subnational levels. © Iran University of Medical Sciences