Estimating eviction prevalence across the United States.

SignificanceSeveral negative effects of forced displacement have been well documented, yet we lack reliable measurement of eviction risk in the national perspective. This prevents accurate estimations of the scope and geography of the problem as well as evaluations of policies to reduce housing loss. We construct a nationwide database of eviction filings in the United States. Doing so reveals that 2.7 million households, on average, are threatened with eviction each year; that the highest eviction filing rates are not concentrated solely in high-cost urban areas; and that state-level housing policies are strongly associated with county-level eviction filing risk. These data facilitate an expanded research agenda on the causes and consequences of eviction lawsuits in the United States.

Improving Biomarker-based HIV Incidence Estimation in the Treatment Era.

BACKGROUND: Estimating HIV-1 incidence using biomarker assays in cross-sectional surveys is important for understanding the HIV pandemic. However, the utility of these estimates has been limited by uncertainty about what input parameters to use for false recency rate (FRR) and mean duration of recent infection (MDRI) after applying a recent infection testing algorithm (RITA). METHODS: This article shows how testing and diagnosis reduce both FRR and mean duration of recent infection compared to a treatment-naive population. A new method is proposed for calculating appropriate context-specific estimates of FRR and mean duration of recent infection. The result of this is a new formula for incidence that depends only on reference FRR and mean duration of recent infection parameters derived in an undiagnosed, treatment-naive, nonelite controller, non-AIDS-progressed population. RESULTS: Applying the methodology to eleven cross-sectional surveys in Africa results in good agreement with previous incidence estimates, except in 2 countries with very high reported testing rates. CONCLUSIONS: Incidence estimation equations can be adapted to account for the dynamics of treatment and recent infection testing algorithms. This provides a rigorous mathematical foundation for the application of HIV recency assays in cross-sectional surveys.

A Nationally Representative Survey of COVID-19 in Pakistan, 2021-2022.

We conducted 4,863 mobile phone and 1,715 face-to-face interviews of adults >18 years residing in Pakistan during June 2021-January 2022 that focused on opinions and practices related to COVID-19. Of those surveyed, 26.3% thought COVID-19 was inevitable, and 16.8% had tested for COVID-19. Survey participants who considered COVID-19 an inevitability shared such traits as urban residency, concerns about COVID-19, and belief that the virus is a serious medical threat. Survey respondents who had undergone COVID-19 testing shared similarities regarding employment status, education, mental health screening, and the consideration of COVID-19 as an inevitable disease. From this survey, we modeled suspected and confirmed COVID-19 cases and found nearly 3 times as many suspected and confirmed COVID-19 cases than had been reported. Our research also suggested undertesting for COVID-19 even in the presence of COVID-19 symptoms. Further research might help uncover the reasons behind undertesting and underreporting of COVID-19 in Pakistan.

Urethrocutaneous fistulas after voluntary medical male circumcision for HIV prevention-15 African Countries, 2015-2019.

BACKGROUND: Voluntary medical male circumcision (VMMC) is an HIV prevention strategy recommended to partially protect men from heterosexually acquired HIV. From 2015 to 2019, the President's Emergency Plan for AIDS Relief (PEPFAR) has supported approximately 14.9 million VMMCs in 15 African countries. Urethrocutaneous fistulas, abnormal openings between the urethra and penile skin through which urine can escape, are rare, severe adverse events (AEs) that can occur with VMMC. This analysis describes fistula cases, identifies possible risks and mechanisms of injury, and offers mitigation actions. METHODS: Demographic and clinical program data were reviewed from all reported fistula cases during 2015 to 2019, descriptive analyses were performed, and an odds ratio was calculated by patient age group. RESULTS: In total, 41 fistula cases were reported. Median patient age for fistula cases was 11 years and 40/41 (98%) occurred in patients aged < 15 years. Fistulas were more often reported among patients < 15 compared to ≥ 15 years old (0.61 vs. 0.01 fistulas per 100,000 VMMCs, odds ratio 50.9 (95% confidence interval [CI] = 8.6-2060.0)). Median time from VMMC surgery to appearance of fistula was 20 days (interquartile range (IQR) 14-27). CONCLUSIONS: Urethral fistulas were significantly more common in patients under age 15 years. Thinner tissue overlying the urethra in immature genitalia may predispose boys to injury. The delay between procedure and symptom onset of 2-3 weeks indicates partial thickness injury or suture violation of the urethral wall as more likely mechanisms of injury than intra-operative urethral transection. This analysis helped to inform PEPFAR's recent decision to change VMMC eligibility policy in 2020, raising the minimum age to 15 years.

Respondent-driven sampling and the homophily configuration graph.

Respondent-Driven Sampling (RDS) is a popular method for surveying hard-to-reach populations, especially in the public health domain. Adjusting for the complex sampling mechanism of the RDS procedure is challenging. We propose a new model for the RDS mechanism motivated by a graph model, which we call the Homophily Configuration Graph. Under this model, we develop a new estimator for population proportions that is robust to seed bias, differential activity, differential recruitment and short recruitment chains. We also connect it to existing RDS theory by showing that, if the sample fraction is small, our estimator limits to the popular Salganik-Heckathorn estimator. We perform simulation studies on both empirically observed networks and networks with known statistical properties, suggesting that this new estimator has less bias than currently recommended estimators.

Triangulating Truth and Reaching Consensus on Population Size, Prevalence, and More: Modeling Study.

BACKGROUND: Population size, prevalence, and incidence are essential metrics that influence public health programming and policy. However, stakeholders are frequently tasked with setting performance targets, reporting global indicators, and designing policies based on multiple (often incongruous) estimates of these variables, and they often do so in the absence of a formal, transparent framework for reaching a consensus estimate. OBJECTIVE: This study aims to describe a model to synthesize multiple study estimates while incorporating stakeholder knowledge, introduce an R Shiny app to implement the model, and demonstrate the model and app using real data. METHODS: In this study, we developed a Bayesian hierarchical model to synthesize multiple study estimates that allow the user to incorporate the quality of each estimate as a confidence score. The model was implemented as a user-friendly R Shiny app aimed at practitioners of population size estimation. The underlying Bayesian model was programmed in Stan for efficient sampling and computation. RESULTS: The app was demonstrated using biobehavioral survey-based population size estimates (and accompanying confidence scores) of female sex workers and men who have sex with men from 3 survey locations in a country in sub-Saharan Africa. The consensus results incorporating confidence scores are compared with the case where they are absent, and the results with confidence scores are shown to perform better according to an app-supplied metric for unaccounted-for variation. CONCLUSIONS: The utility of the triangulator model, including the incorporation of confidence scores, as a user-friendly app is demonstrated using a use case example. Our results offer empirical evidence of the model's effectiveness in producing an accurate consensus estimate and emphasize the significant impact that the accessible model and app offer for public health. It offers a solution to the long-standing problem of synthesizing multiple estimates, potentially leading to more informed and evidence-based decision-making processes. The Triangulator has broad utility and flexibility to be adapted and used in various other contexts and regions to address similar challenges.

Modeling of networked populations when data is sampled or missing.

Networked populations consist of inhomogeneous individuals connected via relational ties. The individuals typically vary in multivariate attributes. In some cases primary interest focuses on individual attributes and in others the understanding of the social structure of the ties. In many circumstances both are of interest, as is their relationship. In this paper we consider this last, most general, case. We model the joint distribution of social ties and individual attributes when the population is only partially observed. Of central interest is when the population is surveyed using a network sampling design. A second situation is when data about a subset of the ties and/or the individual attributes is unintentionally missing. Exponential-family random network models (ERNM)s are capable of specifying a joint statistical representation of both the ties of a network and individual attributes. This class of models allow the nodal attributes to be modeled as stochastic processes, expanding the range and realism of exponential-family approaches to network modeling. In this paper we develop a theory of inference for ERNMs when only part of the network is observed, as well as specific methodology for partially observed networks, including non-ignorable mechanisms for network-based sampling designs. In particular, we consider data collected via contact tracing, of considerable importance to infectious disease epidemiology and public health.

Estimation of HIV-1 Incidence Using a Testing History-Based Method; Analysis From the Population-Based HIV Impact Assessment Survey Data in 12 African Countries.

BACKGROUND: Estimating HIV incidence is essential to monitoring progress in sub-Saharan African nations toward global epidemic control. One method for incidence estimation is to test nationally representative samples using laboratory-based incidence assays. An alternative method based on reported HIV testing history and the proportion of undiagnosed infections has recently been described. METHODS: We applied an HIV incidence estimation method which uses history of testing to nationally representative cross-sectional survey data from 12 sub-Saharan African nations with varying country-specific HIV prevalence. We compared these estimates with those derived from laboratory-based incidence assays. Participants were tested for HIV using the national rapid test algorithm and asked about prior HIV testing, date and result of their most recent test, and date of antiretroviral therapy initiation. RESULTS: The testing history-based method consistently produced results that are comparable and strongly correlated with estimates produced using a laboratory-based HIV incidence assay (ρ = 0.85). The testing history-based method produced incidence estimates that were more precise compared with the biomarker-based method. The testing history-based method identified sex-, age-, and geographic location-specific differences in incidence that were not detected using the biomarker-based method. CONCLUSIONS: The testing history-based method estimates are more precise and can produce age-specific and sex-specific incidence estimates that are informative for programmatic decisions. The method also allows for comparisons of the HIV transmission rate and other components of HIV incidence among and within countries. The testing history-based method is a useful tool for estimating and validating HIV incidence from cross-sectional survey data.

The HIV care continuum for sexually active transgender women in three metropolitan municipalities in South Africa: findings from a biobehavioural survey 2018-19.

BACKGROUND: Despite high HIV prevalence in transgender women in sub-Saharan Africa, to our knowledge no study presents data across the HIV care continuum for this population in the region. The aim of this study was to estimate HIV prevalence and present data to develop the HIV care continuum indicators for transgender women in three South African metropolitan municipalities. METHODS: Biobehavioural survey data were collected among sexually active transgender women in the metropolitan municipalities of Johannesburg, Buffalo City, and Cape Town, South Africa. Transgender women (aged ≥18 years, self-reporting consensual sex with a man in the 6 months before the survey) were recruited using respondent-driven sampling (RDS). An interviewer-administered questionnaire was used to determine awareness of HIV status; blood specimens were collected on dried blood spots to test for HIV antibodies, antiretroviral treatment (ART) exposure, and viral load suppression. Population-based estimates of HIV 95-95-95 cascade indicators were derived by use of individualised RDS weights with RDS Analyst software. Multivariate stepwise backward logistic regression modelling was used to determine factors associated with each cascade indicator. All eligible participants were included in the final analysis. FINDINGS: Between July 26, 2018, and March 15, 2019, we enrolled 887 sexually active transgender women: 323 in Johannesburg, 305 in Buffalo City, and 259 in Cape Town. HIV prevalence was highest in Johannesburg where 229 (74·1%) of 309 tests were positive (weighted prevalence estimate 63·3%, 95% CI 55·5-70·5), followed by Buffalo City where 121 (43·7%) of 277 were positive (46·1%, 38·7-53·6), and then Cape Town where 122 (48·4%) of 252 were positive (45·6%, 36·7-54·7). In Johannesburg, an estimated 54·2% (95% CI 45·8-62·4) of transgender women with HIV knew their positive status, in Cape Town this was 24·2% (15·4-35·8), and in Buffalo City this was 39·5% (27·1-53·4). Among those who knew their status, 82·1% (73·3-88·5) in Johannesburg, 78·2% (57·9-90·3) in Cape Town, and 64·7% (45·2-80·2) in Buffalo City were on ART. Of those on ART, 34·4% (27·2-42·4) in Johannesburg, 41·2% (30·7-52·6) in Cape Town, and 55·0% (40·7-68·4) in Buffalo City were virally suppressed. INTERPRETATION: Innovative strategies are needed to inform efforts to diagnose and to treat transgender women living with HIV promptly to achieve viral load suppression. Differentiated HIV services tailored to transgender women of race groups other than Black South African, and those with low education attainment and low outreach exposure, innovative testing, and adherence strategies should be developed to improve the HIV cascade for South African transgender women. FUNDING: The US President's Emergency Plan For AIDS Relief and US Centers for Disease Control and Prevention.

On The Robustness Of Respondent-Driven Sampling Estimators To Measurement Error.

Respondent-driven sampling (RDS) is a popular method of conducting surveys in hard to reach populations where strong assumptions are required in order to make valid statistical inferences. In this paper we investigate the assumption that network degrees are measured accurately by the RDS survey and find that there is likely significant measurement error present in typical studies. We prove that most RDS estimators remain consistent under an imperfect measurement model with little to no added bias, though the variance of the estimators does increase.

Population Size Estimation From Capture-Recapture Studies Using shinyrecap: Design and Implementation of a Web-Based Graphical User Interface.

BACKGROUND: Population size estimates (PSE) provide critical information in determining resource allocation for HIV services geared toward those at high risk of HIV, including female sex workers, men who have sex with men, and people who inject drugs. Capture-recapture (CRC) is often used to estimate the size of these often-hidden populations. Compared with the commonly used 2-source CRC, CRC relying on 3 (or more) samples (3S-CRC) can provide more robust PSE but involve far more complex statistical analysis. OBJECTIVE: This study aims to design and describe the Shiny application (shinyrecap), a user-friendly interface that can be used by field epidemiologists to produce PSE. METHODS: shinyrecap is built on the Shiny web application framework for R. This allows it to seamlessly integrate with the sophisticated CRC statistical packages (eg, Rcapture, dga, LCMCR). Additionally, the application may be accessed online or run locally on the user's machine. RESULTS: The application enables users to engage in sample size calculation based on a simulation framework. It assists in the proper formatting of collected data by providing a tool to convert commonly used formats to that used by the analysis software. A wide variety of methodologies are supported by the analysis tool, including log-linear, Bayesian model averaging, and Bayesian latent class models. For each methodology, diagnostics and model checking interfaces are provided. CONCLUSIONS: Through a use case, we demonstrated the broad utility of this powerful tool with 3S-CRC data to produce PSE for female sex workers in a subnational unit of a country in sub-Saharan Africa.

Correlates of spirituality in older women.

INTRODUCTION: The role of spirituality in the context of mental health and successful aging is not well understood. In a sample of community-dwelling older women enrolled at the San Diego site of the Women's Health Initiative study, we examined the association between spirituality and a range of variables associated with successful cognitive and emotional aging, including optimism, resilience, depression, and health-related quality of life (HRQoL). METHODS: A detailed cross-sectional survey questionnaire on successful aging was completed by 1973 older women. It included multiple self-reported measures of positive psychological functioning (e.g., resilience and optimism), as well as depression and HRQoL. Spirituality was measured using a five-item self-report scale constructed using two items from the Brief Multidimensional Measure of Religiosity/Spirituality and three items from Hoge's Intrinsic Religious Motivation Scale. RESULTS: Overall, 40% women reported regular attendance in organized religious practice, and 53% reported engaging in private spiritual practices. Several variables were significantly related to spirituality in bivariate associations; however, using model testing, spirituality was significantly associated only with higher resilience, lower income, lower education, and lower likelihood of being in a marital or committed relationship. CONCLUSIONS: Our findings point to a role for spirituality in promoting resilience to stressors, possibly to a greater degree in persons with lower income and education level. Future longitudinal studies are needed to confirm these associations.

Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa.

INTRODUCTION: HIV planning requires granular estimates for the number of people living with HIV (PLHIV), antiretroviral treatment (ART) coverage and unmet need, and new HIV infections by district, or equivalent subnational administrative level. We developed a Bayesian small-area estimation model, called Naomi, to estimate these quantities stratified by subnational administrative units, sex, and five-year age groups. METHODS: Small-area regressions for HIV prevalence, ART coverage and HIV incidence were jointly calibrated using subnational household survey data on all three indicators, routine antenatal service delivery data on HIV prevalence and ART coverage among pregnant women, and service delivery data on the number of PLHIV receiving ART. Incidence was modelled by district-level HIV prevalence and ART coverage. Model outputs of counts and rates for each indicator were aggregated to multiple geographic and demographic stratifications of interest. The model was estimated in an empirical Bayes framework, furnishing probabilistic uncertainty ranges for all output indicators. Example results were presented using data from Malawi during 2016-2018. RESULTS: Adult HIV prevalence in September 2018 ranged from 3.2% to 17.1% across Malawi's districts and was higher in southern districts and in metropolitan areas. ART coverage was more homogenous, ranging from 75% to 82%. The largest number of PLHIV was among ages 35 to 39 for both women and men, while the most untreated PLHIV were among ages 25 to 29 for women and 30 to 34 for men. Relative uncertainty was larger for the untreated PLHIV than the number on ART or total PLHIV. Among clients receiving ART at facilities in Lilongwe city, an estimated 71% (95% CI, 61% to 79%) resided in Lilongwe city, 20% (14% to 27%) in Lilongwe district outside the metropolis, and 9% (6% to 12%) in neighbouring Dowa district. Thirty-eight percent (26% to 50%) of Lilongwe rural residents and 39% (27% to 50%) of Dowa residents received treatment at facilities in Lilongwe city. CONCLUSIONS: The Naomi model synthesizes multiple subnational data sources to furnish estimates of key indicators for HIV programme planning, resource allocation, and target setting. Further model development to meet evolving HIV policy priorities and programme need should be accompanied by continued strengthening and understanding of routine health system data.

Treatment of subsyndromal depressive symptoms in middle-age and older patients with schizophrenia: effect of age on response.

OBJECTIVE: The authors hypothesized that age would moderate the response of patients with schizophrenia and subsyndromal depression (SSD) treated citalopram with depressive symptoms and other outcomes. Also, older patients would exhibit more side effects with citalopram. METHODS: Participants of 40 years or older had schizophrenia or schizoaffective disorder with SSD. Patients randomly received flexible dosing of citalopram or placebo augmentation of their antipsychotic medication. Linear regression determined whether age had any moderating effect on depressive symptoms, global psychopathology, negative symptoms, mental functioning, and quality of life. Age-related side effects were examined. RESULTS: There were no significant drug group by age interaction in depressive or psychotic symptoms, mental Short Form-12, or quality of life scores. Similarly, there were few age-related side effect differences. CONCLUSION: Symptoms in younger and older patients with schizophrenia and SSD treated with citalopram seem to respond similarly. Adverse events do not seem to differ with age.

The relationship of marital status and clinical characteristics in middle-aged and older patients with schizophrenia and depressive symptoms.

BACKGROUND: This study examines the relationship of marital status to depression, positive and negative symptoms, quality of life, and suicidal ideation among 211 patients with schizophrenia-spectrum disorders and subsyndromal depressive symptoms. We hypothesized that single participants would have more severe symptomatology than married and cohabitating participants. METHODS: Outpatients, age 40 or older, were diagnosed with schizophrenia or schizoaffective disorders using the MINI Structured Clinical Interview for DSM-IV Axis 1 Disorders. Participants exhibited a score of >8 on the Hamilton Rating Scale for Depression but did not meet criteria for a major depressive episode. RESULTS: Participants who were married or cohabitating had a later age of onset of first psychotic episode or hospitalization than those who were single (age, 29.35 vs 24.21). Married participants rated their quality of life higher than those who were single (mean Quality of Life Scale scores, 72.28 vs 53.87) and had less suicidal ideation than those who were divorced, widowed, or separated (7.4% vs 29.2%). CONCLUSIONS: In middle-aged and older individuals with schizophrenia or schizoaffective disorder and depressive symptoms, marriage appeared to enhance quality of life and protect against suicidal ideation. Efforts that focus on providing additional support for those who are experiencing divorce or separation could prove to be lifesaving for these individuals.

Treatment of subsyndromal depressive symptoms in middle-aged and older adults with schizophrenia: effect on functioning.

BACKGROUND: Subsyndromal symptoms of depression (SSD) in patients with schizophrenia are common and clinically important. SSRI's appear to be helpful in alleviating depressive symptoms in patients with schizophrenia who have SSD in patients age 40 and greater. It is not known whether SSRI's help improve functioning in this population. We hypothesized that treating this population with the SSRI citalopram would lead to improvements in social, mental and physical functioning as well as improvements in medication management and quality of life. METHODS: Participants were 198 adults > or = 40 years old with schizophrenia or schizoaffective disorder who met study criteria for subsyndromal depression based on having two or more of the nine DSM-IV symptoms of a major depressive episode, for at least 2 weeks, and a Hamilton depression rating scale (HAM-D 17) score > or = 8. Patients were randomly assigned to flexible-dose treatment with citalopram or placebo augmentation of their current antipsychotic medication(s) which was stable for 1 month. Subjects were assessed with the following functional scales at baseline and at the end of the 12-week trial: (1) social skills performance assessment (SSPA), (2) medication management ability assessment (MMAA), (3) mental and physical components of the medical outcomes study SF-12 Scale, and (4) the Heinrichs quality of life scale (QOLS). Analysis of covariance (ANCOVA) was used to compare differences between endpoint scores of the citalopram and placebo treated groups, controlling for site and baseline scores. ANCOVAs were also used to compare differences in the above endpoint scores in responders versus non-responders (responders = those with > 50% reduction in depressive symptoms). RESULTS: Overall, the citalopram group had significantly higher SSPA, mental functioning SF-12, and quality of life scale (QOLS) scores compared to the placebo group. There was no effect on MMAA or physical functioning SF-12 scores. Responders had significantly better endpoint mental SF-12 and QOLS scores compared to non-responders. Response to citalopram in terms of depressive symptoms mediated the effect of citalopram on mental functioning, but not on the quality of life. CONCLUSIONS: Citalopram augmentation of antipsychotic treatment in middle aged and older patients with schizophrenia and subsyndromal depression appears to improve social and mental health functioning as well as quality of life. Thus it is important for clinicians to monitor these aspects of functioning when treating this population of patients with schizophrenia with SSRI agents.

A new method for estimating HIV incidence from a single cross-sectional survey.

Estimating incidence from cross-sectional data sources is both important to the understanding of the HIV epidemic and challenging from a methodological standpoint. We develop a new incidence estimator that measures the size of the undiagnosed population and the amount of time spent undiagnosed in order to infer incidence and transmission rates. The estimator is calculated using commonly collected information on testing history and HIV status and, thus, can be deployed in many HIV surveys without additional cost. If ART biomarker status and/or viral load information is available, the estimator can be adjusted for biases in self-reported testing history. The performance of the estimator is explored in two large surveys in Kenya, where we find our point estimates to be consistent with assay-derived estimates, with much smaller standard errors.

Physical and mental health-related quality of life among older people with schizophrenia.

OBJECTIVE: Since the time of Kraeplin, schizophrenia has been thought of as a disorder with progressive deterioration in functioning. An important aspect of functioning is both physical and mental health-related quality of life (HRQoL). The objective of this study was to examine the relationship of age to both mental and physical aspects of HRQoL in individuals with schizophrenia as compared to normal comparison subjects (NCs). METHODS: Middle-aged and older community-dwelling patients with schizophrenia (N=486) were compared to NCs (N=101). Health related quality of life was measured using the SF-36 Physical Health and Mental Health Component scores. The relationship between age and HRQoL was examined using linear regressions. In addition, we performed exploratory analyses to examine the effects of confounding variables on this relationship, and to examine the effects of age on SF-36 subscales. RESULTS: Patients with schizophrenia had lower SF-36 Physical and Mental Health Component scores than NCs, and these differences persisted after adjusting for the age difference between the two groups. The relationship between age and mental, but not physical, HRQoL was significantly different between the patients with schizophrenia and the NCs. Specifically, older age was associated with higher mental HRQoL among patients with schizophrenia, but not among the NCs. This difference remained significant after examining multiple potential confounding demographic and clinical variables. CONCLUSIONS: This study found that older age was associated with greater mental health quality of life. Longitudinal studies are warranted to confirm our finding, and to examine potential mechanisms responsible for possible improvement in mental HRQoL with age.

Functioning in middle aged and older patients with schizophrenia and depressive symptoms: relationship to psychopathology.

BACKGROUND: Depressive symptoms are common in middle aged and older patients with schizophrenia. The authors hypothesized that worse functioning in these patients would be associated with worse psychopathology. METHODS: Outpatients with schizophrenia were > or =40 years old with subsyndromal depression and Hamilton Depression Rating Scale Scores of > or =8. Exclusions were dementia, two months of either mania or major depression or 1 month active substance abuse/dependence. The authors administered performance based functional assessments, the Positive and Negative Syndrome Scale of Schizophrenia [PANSS], and Calgary Depression Rating Scale. RESULTS: PANSS (-) scores were negatively correlated with the UCSD Performance Skills Based Assessment, Social Skills Performance Assessment and Medication Management Ability Assessment total error (MMAA) scores. Digit symbol scores served as a moderator of the relationship between MMAA and PANSS (-) scores. CONCLUSIONS: Negative symptoms were associated with functioning. The relationship between negative symptoms and medication errors seem to weaken in subjects with quicker processing speed.