Missing Cases Research Articles

Spotting missing or wanted people: racial biases in prospective person memory

Searching for missing or wanted people is a crucial task in our society. Previous work on prospective person memory (PPM) has demonstrated that performance on this type of search task is worse relative to standard prospective memory tasks. Importantly, this process may be further affected by the race of the missing person, yet this has never been tested in laboratory settings. To test the effects of race on PPM, a convenience sample consisting primarily of self-identified Caucasian participants was asked to search for either a Caucasian or an Indian target person while judging the orientation of different Caucasian and Indian faces. Although the tasks were otherwise identical, 89% of Caucasian PPM targets were found while only 53% of Indian targets were found. Furthermore, relative to a control group with no PPM requirements, participants were slower and more error-prone when judging Indian faces relative to White faces, particularly if they were searching for an Indian face. We interpret these results as revealing other-race effects in prospective person memory, highlighting race as a critical factor for finding missing people. Importantly, this also emphasizes the need for real-world search efforts to factor in difficulty differences when people monitor for missing/wanted people from their own or different racial backgrounds. For example, media coverage of missing persons cases could perhaps be distributed more equitably by considering whether the missing person is from a racial minority in that region.

An Observational Study On Maternal Near Miss Cases In A Tertiary Care Hospital In Kolkata Draining Howrah And Hooghly Districts Between June 2023‐2024

An Observational Study On Maternal Near Miss Cases In A Tertiary Care Hospital In Kolkata Draining Howrah And Hooghly Districts Between June 2023‐2024

From informing to co-producing: a comparative analysis of citizen participation in missing persons cold cases in England & Wales and the Netherlands using the citizen participation ladder model

ABSTRACT This study critically compares the approaches currently applied in the Netherlands and England & Wales to engage members of the public in the search for long-term missing persons – the methodology employed semi-structured interviews with practitioners in each jurisdiction. Thematic analysis indicates challenges with police maintaining control of cases, and highlights accountability issues faced when involving the public in cases. The work argues that Kop’s“citizen participation ladder” model enables the police to limit the degree of control they are willing and able to relinquish. The paper concludes by recommending that being able to hold citizens accountable should be a prerequisite for citizen participation initiatives, which can be accomplished by adhering to these structures. Another recommendation is that the citizen participation ladder should be used as a guidance tool to explore future opportunities for public engagement. Still, caution is needed to ensure an accurate interpretation of the model.

Perfil epidemiológico, sobrevida e prognóstico materno em unidade de terapia intensiva no nordeste do Brasil

Objective. To study the epidemiologic profile and determine maternal survival and prognosis in an Intensive Care Unit (ICU) in the Northeast of the country. Methods. Analytical cross-sectional design study that evaluated pregnant women, puerperae, and women in postabortion or ectopic pregnancy admitted to an obstetric ICU in Teresina between May/2016 and May/2017. Results. Of the 11,466 occurrences in the period, 456 women were admitted to the ICU. Among the causes of hospitalization, 80.3% patients were direct obstetric causes, 16.2% indirect and 3.5% non-obstetric. A total of 159 patients met the Near Miss criteria, with statistical significance between presentation of the criteria and mortality (p<0.001; x²=30.974). The mortality rate was 3.5%, all of them being Near Miss cases. There was a statistically significant and direct correlation between survival and number of clinical (p<0.001; rp=0.270), laboratory (p<0.001; rp=0.358) and management (p<0.001; rp=0.465) criteria. It was identified that the higher the number of criteria, the longer the length of hospitalization and worse the prognosis (p<0.001). Conclusion. Women admitted to the ICU for indirect obstetric causes who met maternal Near Miss criteria had longer hospitalization and worse prognosis.

How much does clinical prediagnosis correlate with electrophysiological findings?: a retrospective study.

Electrodiagnostic testing (EDX) is important in the diagnosis and follow-up of neuropathic and myopathic diseases. This study aimed to demonstrate the compatibility between clinical prediagnosis and electrophysiological findings. EDX results from 2004 to 2020 at the physical medicine and rehabilitation (PM&R) clinic were screened. Tests with missing data, reevaluation studies, and cases of peripheral facial paralysis were excluded. The clinical prediagnosis and EDX results were recorded, and their compatibility was evaluated. A total of 2,153 tests were included in this study. The mean age was 49.0±13.9 years and 1,533 of them (71.2%) were female. The most frequently referred clinic was the PM&R clinic (90.0%). Numbness (73.6%) was the most common complaint, followed by pain (15.3%) and weakness (13.9%). The most common prediagnosis was entrapment neuropathy (55.3%), radiculopathy (16.1%), and polyneuropathy (15.7%). Carpal tunnel syndrome was the most frequently identified type of entrapment neuropathy (78.3%). Six hundred and seventy EDX results (31.1%) were within normal limits. While the EDX results were consistent with the prediagnosis in 1,328 patients (61.7%), a pathology different from the prediagnosis was detected in 155 patients (7.2%). In the discrepancy group, the most common pathologies were entrapment neuropathy (51.7%), polyneuropathy (17.3%), and radiculopathy (15.1%). The most common neuropathy type was carpal tunnel syndrome (79.3%). After adequate anamnesis and physical and neurological examinations, requesting further appropriate tests will increase the prediagnosis accuracy and prevent unnecessary expenditure of time and labor.

Is social disadvantage a chronic stressor? Socioeconomic position and HPA axis activity among older adults living in England

IntroductionLiving in socioeconomic disadvantage has been conceptualised as a chronic stressor, although this contradicts evidence from studies using hair cortisol and cortisone as a measure of hypothalamus-pituitary-adrenal (HPA)11HPA axis: Hypothalamus Pituitary Adrenal axis axis activity. These studies used complete case analyses, ignoring the impact of missing data for inference, despite the high proportion of missing biomarker data. The methodological limitations of studies investigating the association between socioeconomic position (SEP)22SEP: Socio-economic Position defined as education, wealth, and social class and hair cortisol and cortisone are considered in this study by comparing three common methods to deal with missing data: (1) Complete Case Analysis (CCA),33CCA: Complete Case Analysis (2) Inverse Probability Weighting (IPW) 44IPW: Inverse Probability Weightingand (3) weighted Multiple Imputation (MI).55MI: Multiple Imputation This study examines if socioeconomic disadvantage is associated with higher levels of HPA axis activity as measured by hair cortisol and cortisone among older adults using three approaches for compensating for missing data. MethodCortisol and cortisone levels in hair samples from 4573 participants in the 6th wave (2012–2013) of the English Longitudinal Study of Ageing (ELSA)66ELSA: English Longitudinal Study of Ageing were examined, in relation to education, wealth, and social class. We compared linear regression models with CCA, weighted and multiple imputed weighted linear regression models. ResultsSocial groups with certain characteristics (i.e., ethnic minorities, in routine and manual occupations, physically inactive, with poorer health, and smokers) were less likely to have hair cortisol and hair cortisone data compared to the most advantaged groups. We found a consistent pattern of higher levels of hair cortisol and cortisone among the most socioeconomically disadvantaged groups compared to the most advantaged groups. Complete case approaches to missing data underestimated the levels of hair cortisol in education and social class and the levels of hair cortisone in education, wealth, and social class in the most disadvantaged groups. ConclusionThis study demonstrates that social disadvantage as measured by disadvantaged SEP is associated with increased HPA axis activity. The conceptualisation of social disadvantage as a chronic stressor may be valid and previous studies reporting no associations between SEP and hair cortisol may be biased due to their lack of consideration of missing data cases which showed the underrepresentation of disadvantaged social groups in the analyses. Future analyses using biosocial data may need to consider and adjust for missing data.

Computing Random Forest-distances in the presence of missing data

In this article, we study the problem of computing Random Forest-distances in the presence of missing data. We present a general framework which avoids pre-imputation and uses in an agnostic way the information contained in the input points. We centre our investigation on RatioRF, an RF-based distance recently introduced in the context of clustering and shown to outperform most known RF-based distance measures. We also show that the same framework can be applied to several other state-of-the-art RF-based measures and provide their extensions to the missing data case. We provide significant empirical evidence of the effectiveness of the proposed framework, showing extensive experiments with RatioRF on 15 datasets. Finally, we also positively compare our method with many alternative literature distances, which can be computed with missing values.

The urge to search: cognitive and affective drivers of citizen searches in missing person cases

ABSTRACT In missing persons cases, police often face citizen initiated searches. Though possibly beneficial (e.g., capacity), citizen involvement also carries risks (e.g., destroying evidence). It is important to manage searches, but often the police have no formal basis for cooperation and no legal means to impose restrictions. The police can only manage searches by exerting their influence at the behavioral level. Before behavioral interventions can be developed, it is necessary to understand the psychological drivers underlying citizen searches. Through a questionnaire (N = 627) based on Community Engagement Theory, Theory of Planned Behavior, and affective measures, we investigated what factors influence citizens’ intent to search. Intention related positively to affect, and beliefs about efficacy and usefulness. The only negative relationship found was for perceived authority. The results suggest that affect is a strong predictor of citizen involvement, and that strengthening perceived police authority offers opportunities to limit or redirect citizen searches where necessary.

Lengths of divisible codes: the missing cases

Lengths of divisible codes: the missing cases

Conditioned Galton–Watson Trees: The Shape Functional, and More on the Sum of Powers of Subtree Sizes and Its Mean

For a complex number α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha $$\\end{document}, we consider the sum of the α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha $$\\end{document}th powers of subtree sizes in Galton–Watson trees conditioned to be of size n. Limiting distributions of this functional Xn(α)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$X_n(\\alpha )$$\\end{document} have been determined for Reα≠0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha \ e 0$$\\end{document}, revealing a transition between a complex normal limiting distribution for Reα<0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha < 0$$\\end{document} and a non-normal limiting distribution for Reα>0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha > 0$$\\end{document}. In this paper, we complete the picture by proving a normal limiting distribution, along with moment convergence, in the missing case Reα=0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha = 0$$\\end{document}. The same results are also established in the case of the so-called shape functional Xn′(0)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$X_n'(0)$$\\end{document}, which is the sum of the logarithms of all subtree sizes; these results were obtained earlier in special cases. In addition, we prove convergence of all moments in the case Reα<0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha < 0$$\\end{document}, where this result was previously missing, and establish new results about the asymptotic mean for real α<1/2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha < 1/2$$\\end{document}.A novel feature for Reα=0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha =0$$\\end{document} is that we find joint convergence for several α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha $$\\end{document} to independent limits, in contrast to the cases Reα≠0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha \ e 0$$\\end{document}, where the limit is known to be a continuous function of α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha $$\\end{document}. Another difference from the case Reα≠0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha \ e 0$$\\end{document} is that there is a logarithmic factor in the asymptotic variance when Reα=0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext {Re}}\\alpha =0$$\\end{document}; this holds also for the shape functional.The proofs are largely based on singularity analysis of generating functions.

M-BEV: Masked BEV Perception for Robust Autonomous Driving

3D perception is a critical problem in autonomous driving. Recently, the Bird’s-Eye-View (BEV) approach has attracted extensive attention, due to low-cost deployment and desirable vision detection capacity. However, the existing models ignore a realistic scenario during the driving procedure, i.e., one or more view cameras may be failed, which largely deteriorates their performance. To tackle this problem, we propose a generic Masked BEV (M-BEV) perception framework, which can effectively improve robustness to this challenging scenario, by random masking and reconstructing camera views in the end-to-end training. More specifically, we develop a novel Masked View Reconstruction (MVR) module in our M-BEV. It mimics various missing cases by randomly masking features of different camera views, then leverages the original features of these views as self-supervision and reconstructs the masked ones with the distinct spatio-temporal context across camera views. Via such a plug-and-play MVR, our M-BEV is capable of learning the missing views from the resting ones, and thus well generalized for robust view recovery and accurate perception in the testing. We perform extensive experiments on the popular NuScenes benchmark, where our framework can significantly boost 3D perception performance of the state-of-the-art models on various missing view cases, e.g., for the absence of back view, our M-BEV promotes the PETRv2 model with 10.3% mAP gain.

Community views on active case finding for tuberculosis in low- and middle-income countries: a qualitative evidence synthesis.

Community views on active case finding for tuberculosis in low- and middle-income countries: a qualitative evidence synthesis.

Classifying missing persons cases: an analysis of police risk assessments using multi-dimensional scaling

ABSTRACT Missing persons cases present a complex challenge for law enforcement globally and require a nuanced understanding of their typologies. This study provides a comprehensive analysis of cases from the United Kingdom, from within a single police service, focusing on the alignment of police missing person risk assessment (RA) factors with existing typologies. Utilizing data exclusively from nearly 5000 police RAs, the study undertakes a multi-stage analysis, examining RA factors for congruence with established typologies and exploring data subsets based on gender, case outcomes, and risk gradings. Using Jaccard’s similarity coefficient and smallest space analysis (SSA), the study interprets and visualizes the cases to explore relationships. Results are reported using visual and descriptive statistics. Key findings include confirmation of alignment to existing typologies and research that has identified ‘unintentional – accidental/drift’ as the dominant missing person typology, identifying it in 65% of the cases. Notably, the typology was also the dominant theme in 45% of the cases resulting in a harmful outcome and 42% graded as high-risk. Categorical nuances are identified within subsets, with 47% of long-term missing and 63% involving men relating to the intentional – dysfunctional typology. 31% of the cases involving females, and 30% and 45% of the cases graded as medium and no apparent risk, respectively, were dominated by the ‘intentional – escape’ typology. We discuss how these findings can be used to improve the police RA process and guide initial risk grading and case prioritization enhancing the understanding and response to missing person cases.

Missing Person and Criminal Identification using Image Processing

In the world, a countless number of people are missing every day which includes kids, teens, mentally challenged, old-aged people with Alzheimer's, etc. Most of them remain untraced. To this missing case entry is updated in police station. By using web camera technology compare each person with the available database and find these people. This system designed to find the missing people.[11] If the missing person found in the Web Video streaming then send the location of missing person to police station. After missing person found in the Web Video streaming, send location Email to Police station. So our system can perform the very important role in security and authentication issues. Here the admin perform the all administrative role in this system. Admin can add the user police, remove the user police and view the user police. The system detects the results and generates output accordingly. This will make the work of police to find a particular person easier.[12].

The forensic imaging technique of age progression used within missing people cases: The Italian Missing Children association realizing age progression for Missing Child Kenya

The age progression technique allows to update identification photos of individuals who have been missing for years. This method is based on the study of the facial variation and on the dynamics of facial growth. Knowledge about changes in the distribution of facial fat and the tone of the cartilage allows realistic predictions of the facial appearance after many years. Beside these elements, age progression is also supported by similar characters between family members. This is why photos of the missing and family members are used to create an age progression, making the new identikit accurate.Non-profit associations are crucial for the dissemination of information on the problem of missing persons. In Italy, the Italian Missing Children association provides for free an age progression service with the support of forensic anthropology. With the activation of a protocol, consisting of guidelines, and a form for the request for age progression by family members, the Italian Missing Children has started a collaboration with Missing Child Kenya. It allowed to disseminate up-to-date photos of the presumed current appearance of the missing children in Kenya. Thus, in the present study some cases are reported, in which age progression technique was applied.The photos provided by Italian Missing Children were shown in video documentaries made by Missing Child Kenya, allowing to continue the dissemination of age progression photo during the Covid quarantines and to keep the population active in the search for the missing.

Study of rapid detection of Mycobacterium Tuberculosis through GeneXpert MTB/RIF assay from acid fast bacilli smear-negative specimens in a Tertiary Care Hospital, Biratnagar Nepal

Introduction: Tuberculosis (TB) is an important public health concern around the world. It is well known that acid-fast bacilli (AFB) smear-negative TB cases are a major source of spreading TB to others when left untreated.&#x0D; Objectives: Our study aim to detect Mycobacterium tuberculosis (MTB) in AFB smear-negative samples through GeneXpert MTB/RIF assay and also to evaluate the drug resistance patterns towards Mycobacterium tuberculosis in hospitals.Methodology: This descriptive cross-sectional study was conducted among smear-negative presumptive TB patients at a tertiary care center with effect from September 2022 to September 2023 after approval from the Institutional Review Committee of the college. A convenience sampling method was used.&#x0D; Results: Out of 653 smear-negative samples, 71 (10.9%) were positive for TB and 17 (2.6%) were rifampicin resistance cases detected by GeneXpert MTB/RIF assay. The cases of tuberculosis were more in age groups between 46-&gt;60 years and least in 17-30 years of age. Pulmonary samples yielded a higher number of MTB 66 (92.95%) as compared to extra-pulmonary samples 5 (7.04%). There is an almost equal proportion of mycobacterium infection in males 37(52.11%) and females 34(47.88%). All the rifampicin resistance cases detected in our study were from pulmonary samples.&#x0D; Conclusion: Our study shows that the sensitivity of GeneXpert MTB/RIF assay is higher than AFB smear microscopy. We are missing actual TB cases while using AFB smear microscopy only. Hence the GeneXpert MTB/RIF assay is important for the rapid detection of MTB in smear-negative as well as smear-positive drug resistance MTB cases.

Generative interpolation via a diffusion probabilistic model

Seismic data interpolation is essential in a seismic data processing workflow, recovering data from sparse sampling. Traditional and deep-learning-based methods have been widely used in the seismic data interpolation field and have achieved remarkable results. In this paper, we develop a seismic data interpolation method through the novel application of diffusion probabilistic models (DPMs). DPM transforms the complex end-to-end mapping problem into a progressive denoising problem, enhancing the ability to reconstruct complex situations of missing data, such as large proportions and large-gap missing data. The interpolation process begins with a standard Gaussian distribution and seismic data with missing traces and then removes noise iteratively with a UNet trained for different noise levels. Our DPM-based interpolation method allows interpolation for various missing cases, including regularly missing, irregularly missing, consecutively missing, noisy missing, and different ratios of missing cases. The ability to generalize to different seismic data sets is also discussed in this paper. Numerical results of synthetic and field data indicate satisfactory interpolation performance of the DPM-based interpolation method in comparison with the f- x prediction filtering method, the curvelet transform method, the low-dimensional manifold method (LDMM), and the coordinate attention-based UNet method, particularly in cases with large proportions and large-gap missing data. Diffusion is all we need for seismic data interpolation.

A Comparison of Imputation Methods In CPI Calculations Used by IWGPS Organizations and Imputation Methods of robust cellwise outlier and missing data

In this study, imputation methods used by IWGPS (*) organizations in CPI (Consumer Price Index) calculations in case of missing data are discussed. Depending on the development of technological devices, methods suitable for the demand of collecting data and producing statistics from the field immediately, in a way that can be adapted to the data collection tools of statistics offices have been proposed. While the immediate imputation advantages of the proposed methods are mentioned, the proposed imputation results are compared with the method results used in the current practice and imputation results of cellwise outlier and missing data in the statistical computer programming language. The method3(i_m üd19) proposed to assist the imputation tools used in CPI calculation all over the world and produced from the statistics is intended to provide convenience to all users. It can also be considered as a common weighted imputation method for both cellwise outlier and missing data case.

A comparative analysis of two national tuberculosis reporting systems and their impact on tuberculosis case notification in Uganda.

Before 2018, the use of parallel tuberculosis (TB) reporting systems was resource intensive with duplication of efforts and hence the need to select one that contributed to better TB case notification at the National TB and Leprosy Program (NLTP) in Uganda. We sought to analyse the difference in reporting rates between the two systems in order to improve NTLP TB case notification rates, logistics management, and planning for better health service delivery initiatives. We conducted a comparative study to assess TB case notification between the web-based DHIS2 and the district TB supervisor-led health management information system between January 2016 to December 2017. We used Poisson regression analysis to assess the statistical differences in reporting rates between the two reporting systems. The association between TB case notification and the type of reporting system was statistically significant (Prob > chi2 = 0.0000). The Incident Rate Ratio (IRR) for the web-enabled DHIS2 system versus the district TB supervisor-led health management information system was 1.106625. The web-based integrated DHIS2 system was more effective in reporting missing TB cases. It presents an opportunity for better planning and allocation of resources for improved service delivery in a low-income setting.

Management of High Risk Pap Smears in Pregnancy: A Case of a Near Miss

Management of High Risk Pap Smears in Pregnancy: A Case of a Near Miss