A case study on the source apportionment of indoor air quality at a kindergarten in eastern Peninsular Malaysia using cluster analysis

BACKGROUND

Indoor air quality is an important concern for kindergartener because young children are more vulnerable to the effects of poor air quality. Poor indoor air quality can cause respiratory problems and other health issues, which can negatively affect a child's ability to learn and grow. Aim of this study is to determine the trend and status of indoor air pollutants in study areas by using descriptive statistics and cluster analysis.

MATERIALS AND METHODS

Air temperature (T), relative humidity (RH), air movement (AM), carbon dioxide (CO2), formaldehyde (HCHO), and particulate matter (PM) are the monitored parameters. Monitoring was carried out in the kindergarten for three consecutive days starting from 8.00am to 12.00pm.

RESULTS

Indoor carbon dioxide readings were higher at 0800 when parents drove to kindergarten to drop off their children without turning off the engine. In addition to this, the PM10 reading at 1000 was high but still within the standard range according to ICOP-IAQ 2010.

CONCLUSION

The findings highlight the importance of indoor air quality improvement measures for kindergarten buildings which can be used to improve indoor air quality in kindergarten environments.

Viability of unmanned aerial vehicles in identifying potential breeding sites for mosquito

INTRODUCTION

Surveillance of mosquito breeding sites is essential because it provides the information needed to assess risks and thus respond to dengue outbreaks. This article aims to review existing research on the viability of using unmanned aerial vehicles (drones) to identify potential breeding sites for Aedes mosquitoes and highlight the issues related to their implementation.

MATERIALS AND METHODS

The authors conducted a literature search in four databases (Scopus, Web of Science, Science Direct, and IEEE Xplore) and completed it in December 2022. Articles that do not directly address the application of drones for surveillance and control of mosquito breeding sites were excluded.

RESULTS

The initial search using the keywords yielded 623 documents. After screening abstracts and reviewing the full text, only 17 articles met the inclusion criteria. Most of the studies were in the proof-of-concept stage. Many studies have also incorporated drone technologies and machine learning techniques into surveillance efforts. The authors have highlighted seven key issues related to the operational aspects of using drones. Those are hardware, software, law and regulation, operating time, expertise, geography, and community involvement.

CONCLUSION

With rapid developments in drone technologies and machine learning techniques, the viability of drones as surveillance tools can be enhanced, thus effectively responding to global public health concerns.

Increased Body Mass Index Augments Endothelial Injury and Clinical Outcomes after Hematopoietic Stem Cell Transplantation

Higher body mass index (BMI) is characterized as a chronic inflammatory state with endothelial dysfunction. Endothelial injury after allogeneic hematopoietic stem cell transplantation (allo-HSCT) puts patients at risk for such complications as transplantation-associated thrombotic microangiopathy (TA-TMA) and acute graft-versus-host-disease (aGVHD). To evaluate the impact of increased BMI on endothelial injury after allo-HSCT in pediatric and young adult patients, we conducted a retrospective cohort study evaluating 476 consecutive allo-HSCT children and young adult recipients age 0 to 20 years. Our analysis was subdivided based on distinct age categories (<2 years and 2 to 20 years). BMI was considered as a variable but was also expressed in standard deviations from the mean adjusted for age and sex (z-score), based on established criteria from the World Health Organization (age <2 years) and the Centers for Disease Control and Prevention (age 2 to 20 years) to account for differences associated with age. Primary endpoints included the incidences of TA-TMA and aGVHD. Increased BMI z-score was associated with TA-TMA after allo-HSCT in patients age <2 years (median, 18.1; IQR, 17 to 20; P = .006) and in patients age 2 to 20 years (median, 18.7; IQR, 16 to 21.9; P = .02). Higher BMI z-score correlated with TA-TMA risk in both age groups, with a BMI z-score of .9 in the younger cohort and .7 (IQR, -.4 to 1.6; P = .04) in the older cohort. Increased BMI z-score was associated with an increased risk of TA-TMA in a multivariate analysis of the entire cohort (odds ratio [OR], 1.2; 95% confidence interval [CI], 1.05 to 1.37; P = .008). Multivariate analysis also demonstrated that patients with BMI in the 85th percentile or greater had an increased risk of developing TA-TMA compared to those with a lower BMI percentile (OR, 2.66; 95% CI, 1.62 to 4.32; P < .001). Baseline and day +7 ST2 levels were elevated in subjects with TA-TMA compared to those without TA-TMA in both age groups. Baseline sC5b-9 concentration was not correlated with BMI z-score, but sC5b-9 concentration was increased markedly by 7 days post-allo-HSCT in patients age <2 years who later developed TA-TMA compared to those who never developed TA-TMA (P = .001). The median BMI z-score was higher for patients with aGVHD compared to patients without aGVHD (.7 [range, -3.9 to 3.9] versus .2 [range, -7.8 to 5.4]; P = .03). We show that high BMI is associated with augmented risk of endothelial injury after HSCT, specifically TA-TMA. These data identify a high-risk population likely to benefit from early interventions to prevent endothelial injury and prompt treatment of established endothelial injury.

Intestinal permeability in patients undergoing stem cell transplantation correlates with systemic acute phase responses and dysbiosis

Intestinal permeability may correlate with adverse outcomes during hematopoietic stem cell transplantation (HSCT), but longitudinal quantification with traditional oral mannitol and lactulose is not feasible in HSCT recipients because of mucositis and diarrhea. A modified lactulose:rhamnose (LR) assay is validated in children with environmental enteritis. Our study objective was to quantify peri-HSCT intestinal permeability changes using the modified LR assay. The LR assay was administered before transplant, at day +7 and +30 to 80 pediatric and young adult patients who received allogeneic HSCT. Lactulose and rhamnose were detected using urine mass spectrometry and expressed as an L:R ratio. Metagenomic shotgun sequencing of stool for microbiome analyses and enzyme-linked immunosorbent assay analyses of plasma lipopolysaccharide binding protein (LBP), ST2, REG3α, claudin1, occludin, and intestinal alkaline phosphatase were performed at the same timepoints. L:R ratios were increased at day +7 but returned to baseline at day +30 in most patients (P = .014). Conditioning regimen intensity did not affect the trajectory of L:R (P = .39). Baseline L:R ratios did not vary with diagnosis. L:R correlated with LBP levels (r2 = 0.208; P = .0014). High L:R ratios were associated with lower microbiome diversity (P = .035), loss of anaerobic organisms (P = .020), and higher plasma LBP (P = .0014). No adverse gastrointestinal effects occurred because of LR. Intestinal permeability as measured through L:R ratios after allogeneic HSCT correlates with intestinal dysbiosis and elevated plasma LBP. The LR assay is well-tolerated and may identify transplant recipients who are more likely to experience adverse outcomes.

Fatigue Life Modelling of Steel Suspension Coil Springs Based on Wavelet Vibration Features Using Neuro-Fuzzy Methods

This study proposed wavelet-based approaches to characterise random vibration road excitations for durability prediction of coil springs. Conventional strain-life approaches require long computational time, while the accuracy of the vibration fatigue methods is unsatisfactory. It is therefore a necessity to establish an accurate fatigue life prediction model based on vibrational features. Wavelet-based methods were applied to determine the low-frequency energy and multifractality of road excitations. Strain-life models were applied for fatigue life evaluation from strain histories. ANFIS modelling was subsequently adopted to associate the vibration features with the fatigue life of coil springs. Results showed that the proposed wavelet-based methods were effective to determine the signal energy and multifractality of vibration signals. The established vibration-based models showed good fatigue life conservativity with a data survivability of more than 90%. The highest Pearson coefficient of 0.955 associated with the lowest RMSE of 0.660 was obtained by the Morrow-based model. It is suggested that the low-frequency energy and multifractality of the vibration signals can be used as fatigue-related features in life predictions of coil springs under random loading. Finally, the proposed model is an acceptable fatigue life prediction method based on vibration features, and it can reduce the dependency on strain data measurement.

Transcriptome analysis in acute gastrointestinal graft-versus host disease reveals a unique signature in children and shared biology with pediatric inflammatory bowel disease

We performed transcriptomic analyses on freshly frozen (n=21) and paraffin embedded (n=35) gastrointestinal (GI)biopsies from children with and without acute GI graft versus host disease (GVHD) to study differential gene expressions. We identified 164 significant genes, 141 upregulated and 23 downregulated, in acute GVHD from freshy frozen biopsies. CHI3L1 was the top differentially expressed gene in acute GVHD, involved in macrophage recruitment and bacterial adhesion. Mitochondrial genes were among the top downregulated genes. Immune deconvolution identified a macrophage cellular signature. Weighted gene co-expression network analysis showed enrichment of genes in the ERK1/2 cascade. Transcriptome data from 206 ulcerative colitis (UC) patients were included to uncover genes and pathways shared between GVHD and UC. Comparison with the UC transcriptome showed both shared and distinct pathways. Both UC and GVHD transcriptomes shared an innate antimicrobial signature and FCγ1RA/CD64 was upregulated in both acute GVHD (log fold increase 1.7, p=0.001) and UC. Upregulation of the ERK1/2 cascade pathway was specific to GVHD. We performed additional experiments to confirm transcriptomics. Firstly, we examined phosphorylation of ERK (pERK) by immunohistochemistry on GI biopsies (acute GVHD n=10, no GVHD n=10). pERK staining was increased in acute GVHD biopsies compared to biopsies without acute GVHD (p= 0.001). Secondly, plasma CD64, measured by ELISA (n=85) was elevated in acute GI GVHD (p.

Mathematical calculation of COVID-19 disease in Pakistan by emergency response modeling based on complex Pythagorean fuzzy information

The new emerged infectious disease that is known the coronavirus disease (COVID-19), which is a high contagious viral infection that started in December 2019 in China city Wuhan and spread very fast to the rest of the world. This infection caused millions of infected cases globally and still poses an alarming situation for human lives. Pakistan in Asian countries is considered the third country with higher number of cases of coronavirus with more than 649824. Recently, some mathematical models have been constructed for better understanding the coronavirus infection. Mostly, these models are based on classical integer-order derivative using real numbers which cannot capture the fading memory. So at the current position it is a challenge for the world to understand and control the spreading of COVID-19. Therefore, the aim of our paper is to develop some novel techniques, namely complex Pythagorean fuzzy weighted averaging (abbreviated as CPFWA) operator, complex Pythagorean fuzzy ordered weighted averaging (abbreviated as CPFOWA) operator, complex Pythagorean fuzzy hybrid averaging (abbreviated as CPFHA) operator, induced complex Pythagorean fuzzy ordered weighted averaging (abbreviated as I-CPFOWA) operator and induced complex Pythagorean fuzzy hybrid averaging (abbreviated as I-CPFHA) operator to analysis the spreading of COVID-19. At the end of the paper, an illustrative the emergency situation of COVID-19 is given for demonstrating the effectiveness of the suggested approach along with a sensitivity analysis, showing the feasibility and reliability of its results.

Review on the extraction of bioactive compounds and characterization of fruit industry by-products

The by-products produced from fruit processing industries could be a potential hazard to environmental pollution. However, these by-products contain several biologically active molecules (essential fatty acid, phenolic compounds, flavonoids, coloring pigments, pectin, proteins, dietary fibers, and vitamins), which can be utilized for various applications in the food, pharmaceutical, cosmetic and textile industries. Nevertheless, during extraction, these bioactive compounds' recovery must be maximized using proper extraction technologies, keeping both economy and environment under consideration. In addition, the characteristics of the extract obtained from those by-products depend mainly on the parameters considered during the extraction process. In this review, an overview of different technologies used to extract bioactive compounds from fruit industry by-products such as seeds and peels has been briefly discussed, along with their mechanisms, process, advantages, disadvantages, and process parameters. In addition, the characteristics of the extracted bioactive compounds have also been briefly discussed in this review.

A Review of Surgically Treated Distal Radius Fractures in a University Hospital

Introduction:

Distal radius fracture (DRF) is the most common orthopaedic injury with a reported incidence of 17.5%. It is commonly seen in young males and elderly females. Over the last two decades, there is an increasing tendency to treat DRF surgically by open reduction and internal fixation (ORIF) with plate and screws owing to improved device design, better fixation and operative technique. The purpose of this study was to evaluate the demographic characteristics, type and method of fixation, and outcome in all surgically treated DRF cases from 2014 to 2018 in a university hospital.

Materials and methods:

A retrospective review of all surgically treated DRF cases with one year follow-up in a tertiary hospital in Malaysia was done. Patients who left the follow-up clinic before one-year post-surgery or before fracture union were excluded. A total of 82 patients with 88 DRF were finally included into the study and outcome in terms of union time and need of multiple surgeries were analysed along with the predictors.

Results:

In this study, mean age of the patient was 46.2 years. Motor vehicle accident was the commonest cause of the fracture and AO Type C fracture was the commonest fracture type. Seventeen (19.3%) out of 88 fractures were compound fracture. Open reduction and internal fixation with volar plate was the most common surgical technique done in this series (93.2%). Three (3.5%) out of 88 fractures required multiple surgeries and eighty-three (94.3%) DRF cases were united before nine months of the surgery in this study. There was statistically significant association between clinical type of the fracture and the union time (p-value <0.05).

Conclusion:

There was a 1.7:1 male-female ratio with AO-C fracture being the most common type of fracture. The most common method of fixation was ORIF with volar locked plate. Patients with closed fractures have a higher rate of union compared to open fractures at nine months.

Epidemiology and Factors Affecting Functional Outcome of Distal Radial Fracture in an Urban Tertiary Medical Centre in Malaysia

Introduction

Distal radial fracture is a commonly encountered fracture. This study aims to study the epidemiology of distal radial fracture and factors affecting the patients' functional outcome one to two years after the injury.

Materials and methods

This is a retrospective cohort study. The records of patients, fulfilling the radiographical diagnosis of distal radial fracture, and aged 18 and above, who presented to our Emergency Department from 1st January 2018 to 31st December 2018 were retrieved. According to AO classification, we grouped our patients into A (extra-articular), B (partial articular) and C (complete articular). Patients with congenital abnormalities were excluded. Epidemiological data and relevant medical history were obtained and tabulated. A Malaysian language translation of Disability of the Arm, Shoulder and Hand (DASH) questionnaire was used to assess the functional outcome.

Results

Out of 168 patients' data retrieved, only 110 patients' data were found complete for purposes of this study. The mean DASH score was 13.7 ± 7.87 approximately one to two years post-injury regardless of treatment method. Increasing age was associated with higher DASH score with r=0.407(p<0.001). Several variables had significantly better functional outcome: male gender (p=0.01), Type A fracture configuration (p=0.007) and non-operational treatment (p=0.03). There was no significant difference between treatment modalities in Type A fracture (p=0.094), but Type B (p=0.043) and Type C (p=0.007) had better outcome without surgery. There was no significant difference between different ethnic groups, open or closed fracture and mechanism of injury.

Conclusion

Better functional outcome after sustaining distal radial fracture was associated with young age, male gender, type A fracture and treated non-operatively. Interestingly, more complex fracture pattern had better functionality were observed without surgery.

Adolescent girls’ recommendations for designing Human Papillomavirus Vaccination Program in Pakistan

 

In Pakistan, cervical cancer is the third most frequent cancer among women. Most cases are caused by sexually-acquired infection with human papillomaviruses (HPV). Vaccination of adolescent girls against HPV significantly reduces the incidence of cervical cancer. HPV vaccination is available in Pakistan, but plans to develop a HPV vaccination program are currently at a very early stage. We conducted a formative study to explore adolescent girls' perspectives on HPV and cervical cancer, and collected their recommendations for implementing an HPV vaccination program. We conducted qualitative focus group discussions (FGDs), with unmarried adolescent girls aged 16-19 years, residing in Karachi. We conducted four FGDs with 12 participants each. The topic guide assessed i) girls' knowledge of cervical cancer and HPV vaccination, ii) vaccination decision-making dynamics within families, and iii) factors girls would consider essential for the successful implementation of HPV vaccination program. Overall, participants displayed a positive attitude towards the HPV vaccine. However, many basic concepts related to female reproductive health were unfamiliar to them. Female relatives were indicated as girls' preferred point of contact for discussions on HPV and cervical cancer, but fathers were portrayed as the definitive decision-making authority on vaccination. Girls gave critical input for the development of a HPV vaccination program. Eligible girls should be recruited through individual household visits and the vaccine should be administered at community-based camps, which would ensure both good accessibility and a large outreach. A solid foundation of trust between girls' families, program managers, and other stakeholders emerged as a key asset for the program's success. Adolescents demonstrated great capacity and shared recommendations for a future program's acceptability. Integrating their perspectives will be essential to design an effective program in local context.

Key messages

Adolescent girls’ perspectives should be incorporated to develop context-specific recommendations for the implementation of a HPV vaccination program. Community-based camps and household visits by adolescent girls to recruit the target population could potentially increase program penetration among communities.

Problems in Malaysian children with large angle infantile esotropia: Children and parents' perspectives

INTRODUCTION

There is limited information regarding the problems faced by children with large angle infantile esotropia (LAIE). The aim of this study was to explore the problems that children with LAIE encounter from both their perspectives and those of their parents.

METHODS

This study included children who had LAIE (with angle of 40 prism dioptres or greater), aged 5 and 17 years who had attended the Ophthalmology Clinic, Hospital Universiti Sains Malaysia from March to September 2016. The children and their parents or guardians were interviewed face-to-face using a validated semi-structured interview guide. Interviews were tape-recorded and transcribed verbatim. Content analysis was performed using the NVivo 12 software.

RESULTS

A total of 30 children and 30 parents were interviewed. The most common problems identified by the children were social interactions (73.3%, 22 children), visual functions (60.0%, 18 children), emotions (60.0%, 18 children), physical issues (40.0%, 12 children) and difficulties regarding treatment options (26.7%, eight children). The parents reported that their children were more affected in terms of visual functions (100.0%, 30 parents), social interactions (56.7%, 17 parents), emotions (43.3%, 13 parents), physical issues (20.0%, six parents), and difficulties regarding treatment options (16.7%, five parents).

CONCLUSION

The major problems that the children with LAIE identified were social interactions, while the parents observed that problems with visual functions was the most common issue encountered by their children. This suggests that the children affected have different perspectives from their parents and require support.

Correlated charge noise and relaxation errors in superconducting qubits

The central challenge in building a quantum computer is error correction. Unlike classical bits, which are susceptible to only one type of error, quantum bits (qubits) are susceptible to two types of error, corresponding to flips of the qubit state about the X and Z directions. Although the Heisenberg uncertainty principle precludes simultaneous monitoring of X- and Z-flips on a single qubit, it is possible to encode quantum information in large arrays of entangled qubits that enable accurate monitoring of all errors in the system, provided that the error rate is low¹. Another crucial requirement is that errors cannot be correlated. Here we characterize a superconducting multiqubit circuit and find that charge noise in the chip is highly correlated on a length scale over 600 micrometres; moreover, discrete charge jumps are accompanied by a strong transient reduction of qubit energy relaxation time across the millimetre-scale chip. The resulting correlated errors are explained in terms of the charging event and phonon-mediated quasiparticle generation associated with absorption of γ-rays and cosmic-ray muons in the qubit substrate. Robust quantum error correction will require the development of mitigation strategies to protect multiqubit arrays from correlated errors due to particle impacts.

Endothelial injury, F-actin and vitamin-D binding protein after hematopoietic stem cell transplant and association with clinical outcomes

Endothelial injury after hematopoietic stem cell transplant is an important initiating factor for early transplant toxicities of thrombotic microangiopathy and acute graft versus host disease. We hypothesized that release of the angiopathic molecule filamentous actin (F-actin) from hematopoietic cells lysed during conditioning prior to stem cell transplant would be associated with clinical outcomes. We detected F-actin in the blood of 52% of stem cell transplant recipients in the first 14 days after transplant, and children with detectable F-actin had a significantly elevated risk of thrombotic microangiopathy (P=0.03) and non-relapse mortality (P=0.04). F-actin is cleared from the circulation by vitamin D binding protein (VDBP) so we expected that higher levels of VDBP would improve outcomes. In a cohort of 190 children receiving an allogeneic transplant, risk of thrombotic microangiopathy was reduced in those with serum concentrations of VDBP above the median at day 30 (10% vs. 31%, P=0.01), and graft versus host disease and non-relapse mortality were reduced in those with levels above the median at day 100 (3% vs. 18%, P=0.04 and 0% vs. 15%, P=0.002). Western blot analyses demonstrated actin-VDBP complexes in the blood, which cleared by day 21-28. Our data support modulation of cytokine secretion and macrophage phenotype by VDBP later after transplant. Taken together, our data identify an association between Factin, a mediator of endothelial damage, and VDBP, an actin scavenger, as modifiers of risk of clinical consequences of endothelial injury.

Coordinating a Postgraduate Orthopaedic Exam During the COVID-19 Pandemic

The Coronavirus (COVID-19) pandemic and institution of the Movement Control Order (MCO) had resulted in the cancellation of a major orthopaedic exam in April 2020. The exam is known as the Malaysian Orthopaedic Specialist Committee (OSC) Part I Examinations. It is similar to the British Royal Colleges of Surgeons Membership (MRCS) exams and held twice annually in April and October. There are up to 200 candidates involved. With implementation of new guidelines and standard operating procedures (SOP), the OSC Part I exam was successfully held by Universiti Kebangsaan Malaysia (UKM) from 5th-9th October 2020. Here we highlight the challenges we faced whilst coordinating a major exam at a national level during the COVID-19 pandemic with recommendations for future exams.

Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

Global concerns have been observed due to the outbreak and lockdown causal-based COVID-19, and hence, a global pandemic was announced by the World Health Organization (WHO) in January 2020. The Movement Control Order (MCO) in Malaysia acts to moderate the spread of COVID-19 through the enacted measures. Furthermore, massive industrial, agricultural activities and human encroachment were significantly reduced following the MCO guidelines. In this study, first, a reconnaissance survey was carried out on the effects of MCO on the health conditions of two urban rivers (i.e., Rivers of Klang and Penang) in Malaysia. Secondly, the effect of MCO lockdown on the water quality index (WQI) of a lake (Putrajaya Lake) in Malaysia is considered in this study. Finally, four machine learning algorithms have been investigated to predict WQI and the class in Putrajaya Lake. The main observations based on the analysis showed that noticeable enhancements of varying degrees in the WQI had occurred in the two investigated rivers. With regard to Putrajaya Lake, there is a significant increase in the WQI Class I, from 24% in February 2020 to 94% during the MCO month of March 2020. For WQI prediction, Multi-layer Perceptron (MLP) outperformed other models in predicting the changes in the index with a high level of accuracy. For sensitivity analysis results, it is shown that NH3-N and COD play vital rule and contributing significantly to predicting the class of WQI, followed by BOD, while the remaining three parameters (i.e. pH, DO, and TSS) exhibit a low level of importance.

Metabolic networks of the human gut microbiota

The human gut microbiota controls factors that relate to human metabolism with a reach far greater than originally expected. Microbial communities and human (or animal) hosts entertain reciprocal exchanges between various inputs that are largely controlled by the host via its genetic make-up, nutrition and lifestyle. The composition of these microbial communities is fundamental to supply metabolic capabilities beyond those encoded in the host genome, and contributes to hormone and cellular signalling that support the dynamic adaptation to changes in food availability, environment and organismal development. Poor functional exchange between the microbial communities and their human host is associated with dysbiosis, metabolic dysfunction and disease. This review examines the biology of the dynamic relationship between the reciprocal metabolic state of the microbiota-host entity in balance with its environment (i.e. in healthy states), the enzymatic and metabolic changes associated with its imbalance in three well-studied diseases states such as obesity, diabetes and atherosclerosis, and the effects of bariatric surgery and exercise.

Fleas infesting cats and dogs in Great Britain: spatial distribution of infestation risk and its relation to treatment

The spatial pattern of flea (Siphonaptera: Pulicidae) infestation risk in cats and dogs across Great Britain is quantified, using data collected from a national survey undertaken in 2018, with particular attention given to the association between insecticidal treatment and infestation risk. Flea infestation risk declined significantly from south to north. None of the factors: pet breed, sex, neutered status or whether the pet had been abroad, showed any relationship with the underlying geographic distribution, which is most likely to be associated with climatic factors. However, overall, only 23.6% of the cats and 35% of the dogs inspected had been treated with identifiable flea products that were still 'in date' at the point of inspection. The percentage of owners treating their pet broadly followed infestation risk. The insecticide fipronil is a common active in a wide range of flea treatments and was the most frequently applied insecticide class, particularly in cats. However, 62% of cats and 45% of dogs that had been treated with a fipronil-based product that was 'in date' at the point of inspection still had fleas. Persistent flea infestation is likely to be due to a range of factors, including compliance and application failure, but the data provide strong inferential evidence for a lack of efficacy of fipronil-based products. Given the ubiquity of flea infestation, this finding and the relatively low-level of treatment compliance, highlight a clear need for greater owner education about the importance of flea management and a better understanding of the efficacy of different products.

Feasibility of implementing Integrated Management of Childhood Illnesses through Mobile Technology

Background

The Integrated Management of Childhood Illnesses (IMCI) strategy was launched by WHO and partners in 1995 to reduce child mortality by enhancing frontline health workers' (FHWs) ability to diagnose and manage childhood illnesses, and strengthen overall health systems. However, although IMCI is associated with decreased child mortality, numerous studies have shown its impact has been limited due to persistent barriers to implementation.

Methods

We developed a digitized version of IMCI (eIMCI) using Android technology to overcome implementation problems, including poor protocol compliance, lengthy trainings, paper-based data collection, and gaps in the referral system. The feasibility and efficacy of eIMCI was assessed through a mixed-methods pilot study encompassing baseline and end-line surveys, interviews, and Focus Group Discussions, in a low-resource rural district of Punjab, Pakistan. During the 8 weeks of deployment, a total of 1,978 children were enrolled in the eIMCI application by 10 participating FHWs, and 47 electronic referrals were generated.

Results

Preliminary outcomes showed reduced disease occurrence (for example, diarrhea decreased from 48% at baseline to 29% at endline), increased adherence to IMCI protocol, and strengthened health system linkages (facility referrals increased from 5% at baseline to 45% at endline). FHWs reported enhanced performance, as well as an improved community response to their services.

Discussion

Indicating the feasibility and efficacy of eIMCI deployment in a low-resource setting, evidence from the pilot demonstrates the benefit of digitizing the IMCI protocol. eIMCI is a digital health solution with the potential to significantly reduce child mortality and improve service delivery and performance of FHWs.

Key messages

eIMCI is a feasible solution for the implementation of IMCI strategy in developing countries and demonstrates increased compliance and enhanced performance by the frontline health workers. Implementation of eIMCI can result in a significant reduction in child morbidity and mortality via timely referrals of patients and reduced disease occurrence.

Real-time immunization trends in under-2 children in Pakistan: insights from big data analysis

Background

Despite the provision of free-of-cost vaccines in Pakistan, fully immunized child (FIC) coverage in Sindh province remains low at 49%. In 2012, we developed and piloted the Zindagi Mehfooz (Safe Life; ZM) Digital Immunization Registry, an Android-based platform that enables vaccinators to enroll and track child level immunization data of children in the catchment population. In 2017, ZM was scaled-up across Sindh province and is currently being used by 2,284 vaccinators across 1,526 facilities serving &gt;48 million (m) population.

Methods

All children under-2 years of age visiting EPI centers are enrolled. At enrollment, caregiver and child bio-data and child immunization history are recorded, and the child is provided with a unique Quick Response (QR) code for identification. For follow-up immunization visits, 3 SMS reminders are sent to caregivers, and upon immunization, child history is retrieved by scanning the QR code and vaccination record updated. ZM allows real-time access to data and generation of monitoring reports. Data from ZM was used to calculate coverage rates, timeliness, and trends for immunization coverage in Sindh.

Results

From Oct'17 to Dec'19, more than 2.4m children and 0.8m women were enrolled in the Registry, while &gt;17m immunizations were administered. The FIC coverage in 12-23 months old children has increased from 49% (at baseline) to 57% for children enrolled in ZM. Additionally, pentavalent-3 coverage increased from 59% to 68%.

Discussion

ZM demonstrates the potential of DIRs to improve immunization outcomes within low-resource settings by enabling better child tracking and a higher retention rate. Additionally, the big dataset provides the opportunity to identify real-time trends and provides actionable data for evidence-based decision making.

Key messages

ZM Immunization Registry has strengthened the current EPI program through increased FIC coverage and timeliness through better tracking of children and increased retention. Big Data from ZM can be used to analyze immunization trends of global relevance, and guide strategic policy decisions for improving immunization coverage and equity, based on actionable data insights.

Using mobile immunization vans to cover under-served populations in hard-to-reach areas

Background

In Pakistan, only 66% of children receive their basic vaccinations. However, the figure masks significant inequalities in vaccine coverage between urban and rural residences, slums and areas distantly located from EPI centers. Frequent outbreaks of vaccine-preventable diseases such as polio and measles, in urban cities like Karachi, signal the need for expanding vaccine services to underserved areas. In Apr'19, we introduced the Mobile Immunization Van initiative in Karachi in collaboration with EPI Sindh. Currently, two vans are deployed in hard-to-reach areas and slums to immunize under-2 children for routine vaccines.

Methods

Before the van visit, mobilization efforts are conducted in targeted areas to encourage caretakers to bring their child for vaccination. On the day of visit, the van is parked at a central location, and announcements are played on a loudspeaker to attract caregivers. All vaccinations are administered in the van, and entries are recorded in Government's Digital Immunization Registry along with GIS coordinates of immunized children. The data is then automatically transferred on to a web-dashboard for analysis and tracking.

Results

From Apr'19 to Jan'20, the vans have vaccinated 2,867 children, out of which 50% had never been immunized prior to the van visit. Of those who received their follow-up vaccines from the van, 80% were at least 4 weeks beyond from their vaccine due date. GIS analysis of van data confirmed that immunizations were conducted in slums, and areas distantly located from EPI centers. Moreover, compared to government outreach activity, proportion of BCG, Penta3 and Measles1 administrations in slums was higher through the vans by 5%, 6%, and 4% respectively.

Conclusions

The vans provide an opportunity for immunizing never-vaccinated children and children defaulting on their vaccine schedule, from the most vulnerable geographies, while simultaneously enrolling them in the Government's EPI Program for effective tracking.

Key messages

The mobile vans help achieve universal immunization coverage through provision of vaccine services in slum and rural hard-to-reach areas with limited access to government-provided services. The mobile vans help vaccinate and capture never-immunized children into the Government’s EPI records, reducing the number of children missed through routine services.

Assessment of immunization service delivery in Pakistan: A cross-sectional survey of health facilities

Background

Routine childhood immunization coverage in Pakistan remains sub-par, in part, due to the poor quality of service delivery. This study aims to summarize the quality of immunization centers throughout the Sindh province, Pakistan, by assessing all Government vaccination facilities and their associated health workers.

Methods

A health facility and worker assessment survey adapted from tools developed by BASICS and EPI-Sindh was used to record facility infrastructure, processes, and human resources. Using expert panel ranking, we developed critical criteria to indicate items immunization centers need to be operational (vaccinator, a cold box or refrigerator, and vaccine supplies) as well as high, low, and moderate function requirements and their respective scores.

Results

Out of 1396 centers assessed, 1236 (88.5%) were operational, while 1209 (86.6%) offered immunization services. Only 793 (66.0%) of the functional immunization facilities met the critical criteria. The average scores for high, moderate, and low function requirements were significantly lower for centers that did not meet the critical criteria. Of 2,153 healthcare workers interviewed, 1874 (87.1%) were vaccinators. 1805 (96.3%), 1655 (88.3%), and 1387 (74.0%) were trained in vaccination, cold chain, and inventory, respectively.

Discussion

One out of three immunization centers in Sindh lack the critical components essential for quality vaccination services. Health workers have adequate training and experience, suggesting that sub-optimal vaccination center quality is due to inadequate infrastructure and inefficient processes. Our study presents innovative and critical research findings with high-impact policy implications for identifying and addressing gaps to improve vaccination uptake within an LMIC setting.

Key messages

Every 2 out of 5 facilities in Sindh Province lacked essential equipment for immunizations such as vaccines, vaccinator and cold box for vaccination. In all health facilities, the health workers appear sufficiently trained, indicating that poor quality may be due to missing infrastructure and inefficient processes in resource-constrained settings.

Validation of mobile Decision Support System for scheduling age-appropriate immunizations

Background

The prevalence of missed opportunities for immunization among children is estimated to be 32.2%. The introduction of new vaccines in EPI schedule and lack of training of frontline health workers (FHWs) on the guidelines for number and spacing of doses and manual construction of vaccine schedules based on a child's age deteriorates efficiencies of FHWs, especially in forecasting catch-up schedules. We have designed and tested the validity of an innovative Decision Support System Application Programming Interface (DSS-API) which will automatically generate an age-appropriate immunization schedule for a child.

Methods

Using a multi-country setting approach, DSS was deployed in six immunization facilities of Pakistan and Bangladesh between July 2019 to April 2020. Details of all visiting children were recorded in database. Information on date of birth and past immunization history was used by the DSS-API to determine an individualized age-appropriate immunization schedule. These schedules were compared to the gold standard's outputs calculated by an immunization expert.

Results

A total of 6,241 vaccination events were recorded from all the sites. Using area under the curve, the calculated sensitivity of DSS to determine age-appropriate immunization schedule was found between 99-100% for the individual EPI vaccines, while the specificity of the DSS algorithm was found between 98-100%.

Conclusions

DSS is a feasible feature that can be incorporated in Digital Immunization Registries to accurately schedule routine and catch-up immunizations and can effectively reduce Missed Opportunities for Immunizations by assisting FHWs through automatic construction of immunization schedules.

Key messages

DSS-API is a unique application that can improve process efficiencies of frontline health workers by automatic generation of accurate age-appropriate catch-up vaccine schedules. DSS has the potential to reduce missed opportunities for immunization (MOI) and improve immunization coverage and timeliness among children aged under 2 years.

Evaluating mobile conditional cash transfers for improving immunization coverage in Pakistan

Background

Despite progress in increasing immunization coverage, poor uptake of vaccines remains a challenge, particularly in LMICs. In part, this is due to the poor socio-economic status of caregivers, lack of motivation, and parental procrastination. While there is evidence that large (≥100 USD) incentives can overcome these problems, research on small incentives that are more appropriate for an LMIC setting is sparse. Our study addresses this gap by evaluating the impact of small (≤12 USD) CCTs in increasing immunization coverage for children under the age of two.

Methods

A 2-year program utilizing two small incentive schemes of different amounts (high: USD9; low: USD5) was implemented in Shikarpur District, Pakistan. Caregivers (with children 0-24 months) visiting any of the 33 study immunization centers were given the opportunity to enroll. All consenting parent-child pairs were randomized in one of the two incentive schemes and incentives were disbursed following each immunization visit, using mobile money. A baseline and end-line survey was conducted to evaluate changes in pre-post coverage.

Results

A total of 63,336 participants were enrolled between March 2016 - April 2018, of which 41,483 were randomized in the high or low incentive schemes (remaining caregivers were enrolled in the no-incentive group). Results show a 13% and 28% increase in age-appropriate coverage for Measles-1 (M1) and fully immunized children (FIC) compared to the baseline (FIC:16%, M1: 38%). There was no difference in M1 coverage between the high and low incentive schemes.

Discussion

Small CCTs have induced positive behavioral change and are a powerful tool for improving immunization coverage and compliance within LMICs.

Key messages

Small mobile conditional cash transfers (USD&lt;12) can serve as nudges to parents and lead to behavioral shifts resulting in improved immunization outcomes for children. There was no significant difference in outcomes between high and low incentives, indicating that small mobile conditional cash transfers were equally effective in improving immunization coverage.

Evaluating small conditional cash transfers to improve vaccine coverage and timeliness in Pakistan

Background

Low immunization coverage rates have prompted the need to design effective demand-side interventions to improve uptake. Simple SMS reminders and large (≥USD 100) incentives have been demonstrated to effectively increase immunization coverage. However, research on small incentives (≤USD 15) for immunization is sparse and there is uncertainty regarding the optimal structure of incentives in terms of size, schedule, and design.

Methods

A 12-arm randomized controlled trial is being conducted in Karachi, Pakistan with 10 incentive arms of varying size (amount), schedules (progressivity) and design (certainty of payment), an exclusive SMS arm and control arm. The incentives are provided through two mechanisms: mobile air time and mobile-money through a mobile-money provider. Children were enrolled when they presented to the study sites for either BCG, Penta-1, or Penta-2 vaccine.

Results

A total of 11,197 children were enrolled between Nov 2017 and Oct 2018 with approximately 800 children in each incentive arm and 1600 and 1599 in SMS and Control arm, respectively. As of Jan 09, 2020, Penta-3 and Measles-1 coverage are lowest in the control arm (71% and 60% respectively) and highest in the high-flat-lottery arm (78% and 69% respectively) with uniformly progressing incentive amounts along the immunization schedule.

Discussion

Interim results suggest that small mobile-based incentives coupled with SMS reminders can significantly improve immunization coverage in children. The final analysis will provide robust evidence of this impact and provide policy implications for the most optimal incentive structure that can build caregiver demand for effectively increasing child immunization in an LMIC setting.

Key messages

Small incentives (USD&lt;15) coupled with simple SMS reminders can improve immunization coverage and timeliness in low resource settings in an inexpensive, logistically simple way. The study will provide experimental evidence on optimal incentive design, structure, and size of small incentives for a cost-effective approach to increase immunization coverage and timeliness.

Empowering adolescent girls and creating lifelong champions to improve immunization coverage

Background

Despite the global imperative to 'leave no child behind', one in every 5 children remain deprived of life-saving vaccines. Low immunization coverage is in part due to the weak linkages between community and health system, inaccessibility of outsiders to closely-knit societies and low parental awareness regarding immunizations. The Kiran Sitara (Shining Stars; KS) Adolescent Health and Leadership Program (AHLP), was implemented using adolescent girls (Kiran Sitaras-KSs) as the agents of change, who by virtue of belonging to the community were able to cause a ripple effect in boosting uptake for WHO-recommended immunizations for children under 2 years of age. Our research evaluated the feasibility of the KS community mobilization and validated KS's ability to accurately identify under-immunized and zero-dose (never-vaccinated) children.

Methods

AHLP was implemented in grades 8-10 of two public secondary schools in Shikarpur and Lakhi Town, Pakistan. From April-May, 2017, a door-to-door survey was conducted by KSs followed by visits of trained staff to verify the immunization statuses identified by KSs.

Results

KSs (N = 45) screened 207 children and identified under-immunized and zero-dose children with an accuracy of 74% and 94% respectively.

Conclusions

Our strategy of mobilizing girls from within the communities provides a promising avenue to provide immunization services in high-risk areas that cannot be penetrated through conventional mechanisms. We are actively scaling-up our sustainable solution by implementing AHLP in 250+ schools and creating a force of 100,000+ KSs who can promote health equity today and champion the cause in their capacity as tomorrow's mothers.

Key messages

The Kiran Sitara initiative via its community-centered approach leverages the force of adolescent school girls to boost demand and provide referrals for immunization in unreached geographical pockets. The Kiran Sitara initiative utilizes the power of youth engagement to identify zero-dose and under-immunized children, link them to immunization services and improve knowledge among caregivers.

Modeling and optimization of pectinase-assisted low-temperature extraction of cashew apple juice using artificial neural network coupled with genetic algorithm

In this study, pectinase-assisted extraction of cashew apple juice was modeled and optimized using a multi-layer artificial neural network (ANN) coupled with genetic algorithm (GA). The effect of incubation time, incubation temperature, and enzyme concentration on different responses such as yield, turbidity, ascorbic acid content, polyphenol content, total soluble solids, and pH was also determined. The developed ANN has minimum mean squared error values of 0.83, 40.92, 29.01, and 8.95 and maximum R values of 0.9999, 0.9972, 0.9995, and 0.9996 for training, testing, validation, and all data sets, respectively, which shows good agreement between the actual and predicted values. The optimum extraction parameters obtained using the developed ANN-GA were as follows: an incubation time of 64 min, incubation temperature of 32 °C, and enzyme concentration of 0.078%. The measured value of responses at the optimized process conditions were in accordance with the predicted values obtained using the developed ANN model.