Diverging likelihood of colon and rectal cancer in Yogyakarta, Indonesia: A cross sectional study.

OBJECTIVES: Colon and rectal cancer are associated with different risk factors and prognostic. However, this discrepancy has not been widely explored in the local population. This study aimed to investigate the site-specific likelihood of colorectal cancer (CRC) incidence in the Yogyakarta province, Indonesia. METHODS: This cross-sectional study analyses 1,295 CRC cases diagnosed in 2008-2019 registered in the Yogyakarta population-based cancer registry (PBCR) database. Cases were grouped into colon and rectal cancer. Log-binomial regression was used to determine the relative risk of either colon or rectal cancer across different gender, age group, and rurality of residence. The age-specific rates were calculated by age group and temporal trend for each group were analyzed using joinpoint regression. RESULTS: Females displayed higher odds of colon cancer (relative risk/RR = 1.20, 95%CI = 1.02-1.41) and lower odds of rectal cancer (RR = 0.92, 95%CI = 0.85-0.99). Elevated odds of colon cancer were observed in younger age group, especially 30-39 (RR = 1.87, 95%CI = 1.10-3.19), while decreased odds of rectal cancer was apparent in age group 30-39 and 40-49 (RR = 0.75, 95%CI = 0.60-0.93 and RR = 0.82, 95%CI = 0.69-0.98, respectively). Living in urban or rural areas did not significantly influence the odds of either having colon (RR = 0.98, 95%CI = 0.82-1.17) or rectal cancer (RR = 1.01, 95%CI = 0.93-1.10). During 2008-2019, trends of colon cancer in age <50 increased by 8.15% annually while rectal cancer displayed a 9.71% increase annually prior to 2017, followed by a 17.23% decrease until 2019. CONCLUSIONS: Yogyakarta population shows higher odds of young-onset colon cancer, especially between age 30-39 years old. Overall observation of trend shows increasing incidence in young-onset colon cancer, and non-significant decrease in rectal cancer.

Lessons Learned From Telephone-Based Data Collection for Health and Demographic Surveillance Systems During the COVID-19 Pandemic in Indonesia.

The Sleman Health and Demographic Surveillance System (HDSS) is a longitudinal survey held routinely since 2014 to collect demographic, social, and health changes in Sleman Regency, Special Region of Yogyakarta, Indonesia. During the COVID-19 pandemic in Indonesia, we needed to adjust our method of conducting data collection from in-person to telephone interviews. We describe the Sleman HDSS data collection strategy used and the opportunities it presented. First, the Sleman HDSS team completed a feasibility study and adjusted the standard operational procedures to conduct telephone interviews. Then, the Sleman HDSS team collected data via a telephone interview in September-October 2020. Ten interviewers were equipped with an e-HDSS data collection application installed on an Android-based tablet to collect data. The sample targeted was 5,064 households. The telephone-based data collection successfully interviewed 1,674 households (33% response rate) in 17 subdistricts. We changed the data collection strategy so that the Sleman HDSS could still be conducted and we could get the latest data from the population. Compared to in-person interviewing, data collection via telephone was sufficiently practical. The telephone interview was a safe and viable data collection method. To increase the response rate, telephone number activation could be checked, ways of building rapport could be improved, and engagement could be improved by using social capital.

Using the Simulated Patient Method to Evaluate the Community Pharmacy Management of Childhood Diarrhoea: A Systematic Review.

The simulated patient method has been widely used to assess community pharmacy practice in the management of childhood diarrhoea. In such a process, a community pharmacist is required to explore a patient's history, choose the right medication and provide drug-related information. The aim of this review was to evaluate the aforementioned practice. A comprehensive literature search was carried out over Sage Journal, PubMed, ScienceDirect and Google Scholar, and the analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Eligible articles were those published from 2011 to 2021 and original studies that used the simulated patient method to examine the pharmaceutical services provided by pharmacists in relation to childhood diarrhoea. The eight studies that satisfied the eligibility criteria were reviewed. These investigations were undertaken in Brazil, Nigeria, Turkey, Ethiopia and Pakistan. Five of the studies focused on history taking with regard to the characteristics of diarrhoea and revealed that the evaluated pharmacists asked about patient histories. In terms of therapy, three studies indicated that the evaluated pharmacists recommended the administration of oral rehydration salts. Pharmacies should improve their history-taking process, provide drug-related information and recommend therapies to increase the knowledge of simulated patients about diarrhoea treatment in children.

Predicting the dengue cluster outbreak dynamics in Yogyakarta, Indonesia: a modelling study.

Background: Human mobility and climate conditions are recognised key drivers of dengue transmission, but their combined and individual role in the local spatiotemporal clustering of dengue cases is not well understood. This study investigated the effects of human mobility and weather conditions on dengue risk in an urban area in Yogyakarta, Indonesia. Methods: We established a Bayesian spatiotemporal model for neighbourhood outbreak prediction and evaluated the performances of two different approaches for constructing an adjacency matrix: one based on geographical proximity and the other based on human mobility patterns. We used population, weather conditions, and past dengue cases as predictors using a flexible distributed lag approach. The human mobility data were estimated based on proxies from social media. Unseen data from February 2017 to January 2020 were used to estimate the one-month ahead prediction accuracy of the model. Findings: When human mobility proxies were included in the spatial covariance structure, the model fit improved in terms of the log score (from 1.748 to 1.561) and the mean absolute error (from 0.676 to 0.522) based on the validation data. Additionally, showed only few observations outside the credible interval of predictions (1.48%) and weather conditions were not found to contribute additionally to the clustering of cases at this scale. Interpretation: The study shows that it is possible to make highly accurate predictions of the within-city cluster dynamics of dengue using mobility proxies from social media combined with disease surveillance data. These insights are important for proactive and timely outbreak management of dengue. Funding: Swedish Research Council Formas, Umeå Centre for Global Health Research, Swedish Council for Working Life and Social Research, Swedish research council VINNOVA and Alexander von Humboldt Foundation (Germany).

Breast cancer incidence in Yogyakarta, Indonesia from 2008-2019: A cross-sectional study using trend analysis and geographical information system.

BACKGROUND: Breast cancer is a significant public health concern worldwide, including in Indonesia. Little is known about the spatial and temporal patterns of breast cancer incidence in Indonesia. This study aimed to analyze temporal and spatial variations of breast cancer incidence in Yogyakarta Province, Indonesia. METHODS: The study used breast cancer case data from the Yogyakarta Population-Based Cancer Registry (PBCR) from 2008 to 2019. The catchment areas of the PBCR included the 48 subdistricts of 3 districts (Sleman, Yogyakarta City, and Bantul). Age-standardized incidence rates (ASR) were calculated for each subdistrict. Joinpoint regression was used to detect any significant changes in trends over time. Global Moran's and Local Indicators of Spatial Association (LISA) analyses were performed to identify any spatial clusters or outliers. RESULTS: The subdistricts had a median ASR of 41.9, with a range of 15.3-70.4. The majority of cases were diagnosed at a late stage, with Yogyakarta City having the highest proportion of diagnoses at stage 4. The study observed a significant increasing trend in breast cancer incidence over the study period the fastest of which is in Yogyakarta City with an average annual percentage change of 18.77%, with Sleman having an 18.21% and Bantul having 8.94% average changes each year (p <0.05). We also found a significant positive spatial autocorrelation of breast cancer incidence rates in the province (I = 0.581, p <0.001). LISA analysis identified 11 subdistricts which were high-high clusters in the central area of Yogyakarta City and six low-low clusters in the southeast region of the catchment area in the Bantul and Sleman Districts. No spatial outliers were identified. CONCLUSIONS: We found significant spatial clustering of BC ASR in the Yogyakarta Province, and there was a trend of increasing ASR across the region. These findings can inform resource allocation for public health efforts to high-risk areas and develop targeted prevention and early detection strategies. Further res is needed to understand the factors driving the observed temporal and spatial patterns of breast cancer incidence in Yogyakarta Province, Indonesia.

Exploring the coach-client interaction of virtual health coaching conducted in patients with type 2 diabetes mellitus: A scoping review.

BACKGROUND AND AIMS: Recent studies reported that virtual health coaching (VHCs) had greater benefits on glycemic control compared to traditional diabetes care. However, VHCs are reported to lack real-time evaluations and personalized patient feedback. To support the intention of developing high quality VHC programs, this review aimed to describe characteristics of the coach-client interaction within VHC that had beneficial impacts on patients with type 2 diabetes mellitus (T2DM) patients. METHODS: We conducted a comprehensive scoping review following the six steps of the framework developed by Arksey and O'Malley. Twelve articles that met the eligibility criteria were retrieved from Medline, ProQuest, Science Direct and Scopus. RESULTS: We found five key concepts regarding the characteristics of coach-client interactions. First, the discussion through smartphones involved individualized feedback and insights, goals setting, barrier identification, facilitation to change behavior, and also clients' clinical, mental, and social conditions. Second, the interactions were supported by in-app features including in-app messaging, email, in-app live video consultation and in-app discussion forums. Third, the most used time of evaluation was 12 months. Fourth, the most commonly delivered topic was lifestyle changes which were predominantly focused on dietary patterns. Fifth, most of health coaches were health liaisons. CONCLUSIONS: The findings highlight the discussion points within interaction through well-planned devices combining an appropriate in-app features contribute to an effective coach-client interactions of VHC. It is expected that future studies can apply these findings as the basis to develop a single set of standards for VHCs which refer to specific patterns of patient-oriented interaction.

Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study.

We aimed to explore the district-level temporal dynamics and sub-district level geographical variations of colorectal cancer (CRC) incidence in the Special Region of Yogyakarta Province. We performed a cross-sectional study using data from the Yogyakarta population-based cancer registry (PBCR) comprised of 1,593 CRC cases diagnosed in 2008-2019. The age-standardized rates (ASRs) were determined using 2014 population data. The temporal trend and geographical distribution of cases were analysed using joinpoint regression and Moran's I statistics. During 2008-2019, CRC incidence increased by 13.44% annually. Joinpoints were identified in 2014 and 2017, which were also the periods when annual percentage change (APC) was the highest throughout the observation periods (18.84). Significant APC changes were observed in all districts, with the highest in Kota Yogyakarta (15.57). The ASR of CRC incidence per 100,000 person- years was 7.03 in Sleman, 9.20 in Kota Yogyakarta, and 7.07 in Bantul district. We found a regional variation of CRC ASR with a concentrated pattern of hotspots in the central sub-districts of the catchment areas and a significant positive spatial autocorrelation of CRC incidence rates in the province (I=0.581, p<0.001). The analysis identified four high-high clusters sub-districts in the central catchment areas. This is the first Indonesian study reported from PBCR data, showing an increased annual CRC incidence during an extensive observation period in the Yogyakarta region. A heterogeneous distribution map of CRC incidence is included. These findings may serve as basis for CRC screening implementation and healthcare services improvement.

Development of the information quality scale for health information supply chain type 2 diabetes mellitus management using exploratory factor analysis.

Background: Research on the quality scale of the healthcare supply chain is still limited. This study aimed to assess the information quality of the supply chain model with a focus on construct validity. Studies related to information quality measurement generally focus on measuring the dimensions of the completeness of medical records and consumer perspectives. We intended to assess the scale based on doctors needed as care coordinators on type 2 diabetes mellitus or the Non-Insulin-Dependent-Diabetes-Mellitus (NIDDM) program in primary healthcare. Methods: Sixty-four primary healthcare doctors with an age range of 24-51 years were involved in this research. The scale obtained was formed from the assessment of the point of view of a panel of experts through the content validity index (CVI). The exploratory factor analysis (EFA) method was used to explore the scale of information quality in the information supply chain model for the NIDDM chronic disease management program. Result: The data analysis results indicated three main factors that affected the quality of the information supply chain model of NIDDM, namely accessibility, safety, and efficiency of information related to NIDDM. The results of the validity and reliability of the data showed that the scale used in this research was valid and reliable with a Cronbach alpha coefficient of 0.861. Conclusion: The scale developed in this research could be used to explore the quality of the information supply chain of NIDDM management in primary healthcare. Each item on the scale could explain the variables according to their respective groups.

Development of a Drug Management Performance Application: A Needs Assessment in Indonesia.

OBJECTIVES: This study assessed the current state of pharmacy management information systems in Indonesia and systematically determined the improvements needed from the stakeholders' perspective. METHODS: This descriptive study used focus group discussions and observations in 13 institutions, and 17 respondents were selected by purposive sampling. The PIECES (performance, information, economy, control, efficiency, service) framework was used to help identify needs. The research was conducted from September 2021 to November 2021 at primary health centers and health offices in Yogyakarta, Indonesia and involved pharmacists and information systems staff. ESULTS: There was no standardized information system in place to support drug management and no format or rules for drug labeling (performance). Pharmacists were not able to provide non-prescription services outside the pharmacy warehouse (information). A new system needs to be developed, and budget availability needs to be determined (economy). System security decreases when users share accounts (control), and the existing systems have not been integrated as needed (efficiency). It is first necessary to plan and support regulations for system development (service). The authors formulated a recommended drug labeling format and a proposed system integration plan. CONCLUSIONS: The development of an information system to support drug management is eagerly awaited by pharmacists in Indonesia to assist in their work. Further research on the development and implementation of an information system is needed to improve the quality of drug management at primary health centers.

Chemo assist for children mobile health application to manage chemotherapy-related symptoms in acute leukemia in Indonesia: a user-centered design approach.

BACKGROUND: A mobile health (mHealth) application can encourage parents and pediatric patients to be involved in caring for their child's health condition by providing the ability to identify and actively manage chemotherapy-related symptoms in their child. Several monitoring systems available today are diverse in features and system basis. This study aimed to develop and trial the Chemo Assist for Children (CAC) mHealth application for symptom management in children with acute lymphoblastic leukemia (ALL). METHODS: In this study, the development of the CAC application went through multiple phases and methods. Study phases included: (1) development of the application's feature based on the need assessment, (2) creation of content of application based on literature review, (3) develop prototyping of CAC, (4) expert review and feedback on the application content, (5) usability testing by targeted end-user. RESULTS: Based on need assessment, it was determined that parents with leukemia children were interested in symptom management of chemotherapy and preferred mobile applications. Therefore, a mHealth application was designed to include features to identify symptoms and provide recommendation strategies to manage the symptom. Usability evaluation by end-user revealed that mHealth is a valid, accessible, and appropriate application for users. CONCLUSIONS: The CAC mHealth application developed can meet the needs of technology users to identify symptoms and manage chemotherapy-related symptoms in children with ALL. The CAC mHealth application can accommodate data not recorded at out-of-hospital care, increase the independence of symptom management, and improve communication between parents of children with ALL and health workers.

The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review.

BACKGROUND: There are currently limited systematic reviews of mobile health interventions for middle-aged and elderly patients with prediabetes from trial studies. This review aimed to gather and analyze information from experimental studies investigating the efficacy of mobile health usability for outcomes among middle-aged and elderly patients with prediabetes. METHODS: We conducted a literature search in five databases: Clinicaltrials.gov, the International Clinical Trials Registry Platform (ICTRP), PubMed, ProQuest, and EBSCO, with a date range of January 2007 to July 2022 written in English, following a registered protocol on PROSPERO (CRD42022354351). The quality and possibility of bias were assessed using the Jadad score. The data extraction and analysis were conducted in a methodical manner. RESULTS: A total of 25 studies were included in the qualitative synthesis, with 19 studies using randomized trial designs and 6 studies with non-randomized designs. The study outcomes were the incidence of diabetes mellitus, anthropometric measures, laboratory examinations, measures of physical activity, and dietary behavior. During long-term follow-up, there was no significant difference between mobile health interventions and controls in reducing the incidence of type 2 diabetes. The findings of the studies for weight change, ≥3% and ≥5% weight loss, body mass index, and waist circumference changes were inconsistent. The efficacy of mobile health as an intervention for physical activity and dietary changes was lacking in conclusion. Most studies found that mobile health lacks sufficient evidence to change hbA1c. According to most of these studies, there was no significant difference in blood lipid level reduction. CONCLUSIONS: The use of mobile health was not sufficiently proven to be effective for middle-aged and elderly patients with prediabetes.

Two-years antibody responses following SARS-CoV-2 infection in humans: A study protocol.

The long-term antibody response to the novel SARS-CoV-2 in infected patients and their residential neighborhood remains unknown in Indonesia. This information will provide insights into the antibody kinetics over a relatively long period as well as transmission risk factors in the community. We aim to prospectively observe and determine the kinetics of the anti-SARS-CoV-2 antibody for 2 years after infection in relation to disease severity and to determine the risk and protective factors of SARS CoV-2 infections in the community. A cohort of RT-PCR confirmed SARS-CoV-2 patients (case) will be prospectively followed for 2 years and will be compared to a control population. The control group comprises SARS-CoV-2 non-infected people who live within a one-kilometer radius from the corresponding case (location matching). This study will recruit at least 165 patients and 495 controls. Demographics, community variables, behavioral characteristics, and relevant clinical data will be collected. Serum samples taken at various time points will be tested for IgM anti-Spike protein of SARS-CoV-2 and IgG anti-Spike RBD of SARS-CoV-2 by using Chemiluminescent Microparticle Immunoassay (CMIA) method. The Kaplan-Meier method will be used to calculate cumulative seroconversion rates, and their association with disease severity will be estimated by logistic regression. The risk and protective factors associated with the SARS-CoV-2 infection will be determined using conditional (matched) logistic regression and presented as an odds ratio and 95% confidence interval.

The efficient use of smartphone apps to improve the level of asthma knowledge.

Patient education is one of the important aspects of improving knowledge and quality of asthma control. In this digital era, it can be made with the support of an app - or known as mHealth. Unfortunately, implementing applications for patient education is relatively new among asthmatic patients in Indonesia. This study aimed to determine the efficacy of the educational content of the AsmaDroid® app on the levels of asthma knowledge among asthmatic patients. This study was a randomized controlled trial carried out from December 2019 to March 2020 in the Special Region of Yogyakarta, Indonesia. A quota sampling was employed, resulting in 140 study participants being categorized into control and treatment groups. Before and after the 4-week treatment period, all participants were asked to complete a pre-test and post-test of the Asthma General Knowledge Questionnaire for Adults (AGKQA) questionnaire. All the scores were then compared to determine the efficacy of educational content on the levels of asthma knowledge. The results of descriptive statistics reported that the pretest scores of AGKQA from the control group (minimum, maximum, and mean) were 9, 25, and 19.04±2.56, respectively, and post-test scores were 10, 27, and 18.79±3.59 (p=0.47). Meanwhile, in the treatment group, these were 13, 25, and 19.11±2.87, while post-test scores were 16, 31, 23.6±3.95 (p=0.01). Additionally, there was a difference between the post-test scores of the control and treatment groups, namely 4.81 (p=0.01). The educational content of the app significantly improved the levels of asthma knowledge.

Asthma self-management app for Indonesian asthmatics: A patient-centered design.

BACKGROUND: A proper education on asthma self-management helps asthmatics to improve health outcomes, such as better asthma knowledge and self-efficacy, increased frequency of symptom-free days, reduced unscheduled healthcare visits and absence from school or work days. In this modern digital era, the use of smartphone apps is increasing rapidly and reaching almost all aspects of our life, including health promotion and patient education on asthma self-management. Studies found that the apps make it easier for asthmatics to receive the education. OBJECTIVE: The aim of this study was to describe the systematic design, development, and implementation process of a Google Android OS asthma self-management smartphone app according to the Patient-Centered Design approach. METHODS: The design, development, and implementation process of the app adopted the Patient-Centered Design approach, including: (1) user needs assessment, (2) design of the app prototype, (3) development of the app prototype, (4) usability test, and (5) product launch. For better results, the study involved end-users (asthmatics and health professionals) during the development of the app. RESULTS: The study resulted in a Google Android OS asthma self-management app, namely AsmaDroid. The app was developed to feature 8 contents and functions, namely: asthma education, a list of asthma medications, asthma diary or journal, peak flow record, asthma control test, asthma action plan, a chat box, and a map of nearest local hospitals or health centers. It was also found that the average success rate of the app was as follow: "completed with ease" was 88.15%, "completed with difficulty" was 7.78%, and "failed to complete" was 4.07%. It means that the success rate of app was "very high". CONCLUSION: The implementation of Patient-Centered Design approach has been successfully completed for the development of AsmaDroid. However, additional research into the use of the app in the actual clinical world is highly required to demonstrate its effectiveness in improving the level of asthma knowledge, the quality of asthma control, and other health outcomes.

Social Media Data Analytics for Outbreak Risk Communication: Public Attention on the "New Normal" During the COVID-19 Pandemic in Indonesia.

BACKGROUND: After two months of implementing a partial lockdown, the Indonesian government had announced the "New Normal" policy to prevent a further economic crash in the country. This policy received many critics, as Indonesia still experiencing a fluctuated number of infected cases. Understanding public perception through effective risk communication can assist the government in relaying an appropriate message to improve people's compliance and to avoid further disease spread. OBJECTIVE: This study observed how risk communication using social media platforms like Twitter could be adopted to measure public attention on COVID-19 related issues "New Normal". METHOD: From May 21 to June 18, 2020, we archived all tweets related to COVID-19 containing keywords: "#NewNormal", and "New Normal" using Drone Emprit Academy (DEA) engine. DEA search API collected all requested tweets and described the cumulative tweets for trend analysis, word segmentation, and word frequency. We further analyzed the public perception using sentiment analysis and identified the predominant tweets using emotion analysis. RESULT: We collected 284,216 tweets from 137,057 active users. From the trend analysis, we observed three stages of the changing trend of the public's attention on the "New Normal". Results from the sentiment analysis indicate that more than half of the population (52%) had a "positive" sentiment towards the "New Normal" issues while only 41% of them had a "negative" perception. Our study also demonstrated the public's sentiment trend has gradually shifted from "negative" to "positive" due to the influence of both the government actions and the spread of the disease. A more detailed analysis of the emotion analysis showed that the majority of the public emotions (77.6%) relied on the emotion of "trust", "anticipation", and "joy". Meanwhile, people were also surprised (8.62%) that the Indonesian government progressed to the "New Normal" concept despite a fluctuating number of cases. CONCLUSION: Our findings offer an opportunity for the government to use Twitter in the process of quick decision-making and policy evaluation during uncertain times in response to the COVID-19 pandemic.

Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation.

OBJECTIVE: To assess the contribution of a digital health real-time monitoring platform towards the achievement of coverage targets during a national immunisation campaign in Indonesia. INTERVENTIONS: A digital health platform was introduced to facilitate real-time reporting and data visualisation. Health workers submitted reports of children immunised each day by geolocation using mobile phones. Automated reports were generated for programme managers at all levels to enable early responses to coverage gaps. METHODS: Risk profiles were generated for each district to assess precampaign immunisation programme performance. Digital health platform use and progress towards targets were monitored continuously throughout the campaign. Study outcomes were total coverage and time to achieve full (100%) coverage. Kaplan-Meier, Cox and linear regression analyses were used to estimate the associations and outcomes after adjusting for district risk profiles. A complementary qualitative assessment explored user experiences and acceptance through interviews with vaccinators and programme managers in provinces and districts selected through multistage random sampling. RESULTS: Between August and December 2018, 6462 health facilities registered to use the digital health platform across 28 provinces and 395 districts. After adjusting for precampaign district risk profile and intracampaign delays due to vaccine hesitancy, districts with greater platform utilisation demonstrated higher coverage overall (R2=0.28, p<0.0001) and a shorter interval to achieving full coverage (>75% reporting compliance; Risk Ratio 15.4, 95% CI 5.8 to 40.6). Stronger effects were observed among districts experiencing implementation delays due to vaccine hesitancy. Results from 106 key informant interviews conducted in 6 provinces and 18 districts suggest high degrees of acceptability, ease of use and satisfaction. CONCLUSION: A digital health platform introduced for real-time monitoring of a national immunisation campaign in Indonesia was feasible, well liked and associated with improved problem solving and programme performance, particularly among districts affected by vaccine hesitancy. TRIAL REGISTRATION NUMBER: ISRCTN10850448.

Survey data of multidrug-resistant tuberculosis, Tuberculosis patients characteristics and stress resilience during COVID-19 pandemic in West Sumatera Province, Indonesia.

This set of data presents a survey data describing multidrug-resistant tuberculosis, tuberculosis patients characteristics and stress resilience during COVID-19 pandemic in West Sumatera Province, Indonesia. The data were gathered from multidrug-resistant tuberculosis, tuberculosis patients through a survey distributed by an online questionnaire, assesing patients characteristics (age, sex, level of education, working status, history of close contact to patients with multidrug resistant tuberculosis and tuberculosis, smoking, alcohol consumption, cavitary pulmonary, diabetes mellitus, nutritional status and tuberculosis outside the lung) and stress resilience (3 items), from 15th July until 7th August 2020. The samples were collected 73 multidrug resistant tuberculosis patients and 219 tuberculosis patients in West Sumatera Province, Indonesia who were willing to fill an online questionnaire. SPSS version 23.0 was used to analyzed the data by descriptive and inferential statistics. The data will help to identify mental health problems and potentially as a warning sign that can support for health education interventions among multidrug-resistant tuberculosis and tuberculosis patients during COVID-19 pandemic.

Survey data of COVID-19 awareness, knowledge, preparedness and related behaviors among breast cancer patients in Indonesia.

This dataset presents a survey data describing COVID-19 awareness, knowledge, preparedness and related behaviors among breast cancer patients in Indonesia. The data were collected from breast cancer patients through a survey distributed by an online questionnaire, assesing social-demographic characteristics (6 items), COVID-19 awareness (5 items), knowledge (2 items), preparedness (2 items) and related behaviors (2 items), from 20th June until 14th July 2020. The samples were gathered 500 breast cancer patients in Indonesia who were willing to fill an online questionnaire. SPSS version 23.0 was used to analyzed the data by descriptive and inferential statistics and SmartPLS 3 to created the partial least square path modeling. The data will help in preventing the transmission of COVID-19 among breast cancer patients and can support for health education and promotion interventions.

Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record.

The spread of mosquito-borne diseases in Southeast Asia has dramatically increased in the latest decades. These infections include dengue, chikungunya and Japanese Encephalitis (JE), high-burden viruses sharing overlapping disease manifestation and vector distribution. The use of Geographical Information Systems (GIS) to monitor the dynamics of disease and vector distribution can assist in disease epidemic prediction and public health interventions, particularly in Southeast Asia where sustained high temperatures drive the epidemic spread of these mosquito-borne viruses. Due to lack of accurate data, the spatial and temporal dynamics of these mosquito-borne viral disease transmission countries are poorly understood, which has limited disease control effort. By following studies carried out on these three viruses across the region in a specific time period revealing general patterns of research activities and characteristics, this review finds the need to improve decision-support by disease mapping and management. The results presented, based on a publication search with respect to diseases due to arboviruses, specifically dengue, chikungunya and Japanese encephalitis, should improve opportunities for future studies on the implementation of GIS in the control of mosquito-borne viral diseases in Southeast Asia.