Public Transit Development Predicts Spatial Distribution of Dengue Virus Incidence in Medellín, Colombia

Dengue is a growing global threat in some of the world’s most rapidly growing landscapes. Urbanization and human movement affect the spatial dynamics and magnitude of dengue outbreaks; however, precise effects of urban growth on dengue is not well understood because of a lack of sufficiently fine-scaled data. We analyzed nine years of address-level dengue case data in Medellin, Colombia during a period of public transit expansion. We correlate changes in the spread and magnitude of localized outbreaks to changes in accessibility and usage of public transit. Locations closer to and with a greater utilization of public transit had greater dengue incidence. This relationship was modulated by socioeconomic status; lower socioeconomic status locations experienced stronger effects of public transit accessibility and usage on dengue incidence. Public transit is a vital urban resource, particularly among low socioeconomic populations; these results highlight the importance of public health services concurrent with urban growth.

Knowledge of caregivers and factors associated with neuropsychomotor development in children

ABSTRACT Objectives: to analyze the knowledge of caregivers and the factors associated with neuropsychomotor development in children. Methods: a cross-sectional study, with a quantitative approach, was conducted with 220 child-caregiver binomials attended in the public health services of the municipality of Parnaíba, State of Piauí. The study used the “Denver Test II” and the “Inventory of Child Development Knowledge”. Results: the study classified 197 children with natural development and 23 with suspicious development. Caregivers with a higher level of knowledge about child development were associated with children with better development. The study considered caregiver knowledge, gestational age, and exclusive breastfeeding as protective factors for appropriate neuropsychomotor development when used the regression model. Conclusions: actions aimed at indicators that presented positive associations must be implemented to improve child development, such as educational activities to increase the level of knowledge of caregivers, improvement of prenatal monitoring, and encouragement of breastfeeding.

The public-private partnership (PPP) initiative in healthcare system: as the pathways to achieve the SDGs in Nepal

Globally, financing healthcare is one of the biggest challenges and it becomes a life or death issue in poor countries. Nepal is strongly committed to universal health coverage and Sustainable Development Goals. Existing public health services are inadequate to cater to the growing demands of quality health care and Public Private Partnership (PPP) evolved as newer arrangement for robust healthcare system, improved healthcare quality and enhance cost-effectiveness. Nepal has successfully utilized the PPP model in multiple sectors, however there is limited experience in healthcare. Strengthening PPP models in healthcare could be the pathway for Nepal toward SDG’s and UHC achievement.

Rancang Bangun Layanan Kesehatan dan Keselamatan Kerja Go-Health Untuk Klinik Perusahaan

Occupational health and safety services must be provided by the company as regulated in government regulations. To make it easier for companies to provide occupational health and safety services, cloud-based services are needed that can be accessed from various devices. In contrast to public health services, company health services are required to provide work safety reports. The purpose of developing this service is to help employees get effective health services, make it easier for medical personnel to provide health services, avoid queues, shorten health service times and make it easier for companies to get occupational health and safety reports. The research method used is direct observation and system development using the waterfall method. Health services in the form of an online information system application can provide benefits for employees to facilitate consulting services and purchasing drugs. While the benefits for the company as risk control related to work activities. To create a safe, efficient and productive workplace. The results of this health service design are service prototypes that have been tested. With the support of this cloud-based service, it is easier for employees to be based on Android by taking advantage of the shortcomings of the existing system in the company.

IMPROVING PUBLIC AWARENESS ON PERITONEAL DIALYSIS THROUGH PUBLIC HEALTH NURSES: A DOCUMENT REVIEW

Introduction: Lack of understanding of peritoneal dialysis could be the main cause of the low number of its users in Aceh. To increase its awareness, public health nurses have a crucial role in public health services. This article aims to analyze the factors that cause the community's lack of understanding of peritoneal dialysis and offer solutions by refining the role of public health nurses. Method: The study used a Document Review by SWOT Analysis with 2x2 matrix. The documents were extracted from Google Scholar, ResearchGate, Pubmed, and Semantic Scholar. The indicators and the inclusion criteria were respondent (public health nurses), research method (quantitative), year (from 2015 to 2020) and language (English and Indonesian). The keywords in the search were the roles of nurses in public health centers (Puskesmas), Aceh nurses, and peritoneal dialysis. Results: The study screened 28 documents in which 23 documents met the eligibility and 16 documents that met the study selection were reviewed. Conclusion: The study suggested that the Acehnese have the potential to develop the CAPD program through the Public Health Center (Puskesmas) nurses approach.

Multi-Layered Catastrophic Health Spending of Inpatient Women by Broad Group of Diseases in India

Healthcare for Indian women needs prioritizing, as they continue to face social and economic discrimination over their healthcare, often with high out-of-pocket payments. The study examines the amount inpatient women have to pay for treatment of major diseases, re-classified into four groups as infectious, reproductive, non-communicable diseases (NCDs), and disabilities & injuries, across the country to comprehend the extent of catastrophic health spending (CHS) they experienced. The study is based on India’s 75th round of the National Sample Survey (NSS), i.e., Household Social Consumption: Health (2017-2018), consisting of 26,938 inpatient women aged 12 and above from India's urban and rural areas. We examine the prevalence of the four categories of diseases by individual, household, community, and healthcare characteristics. Expenditure estimates were derived from cross-tabulation, followed by binary logistic regression to assess the association between covariates and inpatient expenditures for the diseases. Indian women are more likely to be hospitalized for infectious diseases (43%), but the burden of CHS (overall) is highest for disabilities and injuries (INR 24,414), followed by NCDs (INR 23,053). Duration of hospitalization and possession of health insurance by women indicate maximum variation with medical spending. Almost 97% of women have incurred out-of-pocket expenditure on hospitalization, from which we identify three layers of CHS. A substantial proportion of women (23 to 50%) experienced CHS, i.e., up to 0-10%, 11-30%, and >30%, which varies distinctively by place of residence and across the six regions. Covariates like age, economic status, and healthcare are highly significant and associated with disease-wise CHS thresholds. Women in India face divergent financial hardships for healthcare. Given the heterogeneity of morbidities and socio-economic characteristics, the need for women-sensitive public health services and interventions are evident.

Classification of Sleep Apnea using Multi Scale Entropy on Electrocardiogram Signal

One of sleep-disordered breathing (SDB) form is sleep apnea, commonly known as snoring during sleep, based on various complex mechanisms and predisposing factors. Sleep apnea is also related to various medical problems. It impacts morbidity and mortality so that it becomes a burden on public health services. Its detection needs to be done correctly through electrocardiogram signals to detect sleep apnea more quickly and precisely. This study was conducted to detect sleep apnea based on electrocardiogram signals using multi-scale entropy analysis. Multi-scale entropy (MSE) is used in a finite length of time series for measuring the complexity of the signal. MSE can be applied to both physical and physiological data sets and. In this paper we used MSE to detect Sleep Apnea on electrocardiogram (ECG) signals. MSE was applied two classes of ECG data, normal ECG signals, and apnea ECG signals. In this paper, classification and verification were carried out using the Support Vector Machine (SVM) and N-fold cross-validation (N-fold CV). From the experimental results, the highest accuracy was 85.6% using 5-fold CV and MSE scale of 10. The result shows that the system model that can detect sleep using the multi-scale entropy method