Spatial and Temporal Analysis of COVID-19 Cases in West Java, Indonesia and Its Influencing Factors

Coronavirus Disease 2019 (COVID-19) spread quickly and reached epidemic levels worldwide. West Java is Indonesia's most populous province and has a high susceptibility to the transmission of the disease, resulting in a significant number of COVID-19 cases. Therefore, this research aimed to determine the influencing factors as well as the spatial and temporal distribution of COVID-19 in West Java. Data on COVID-19 cases in West Java obtained from PIKOBAR were used. Spatial distribution was described using a choropleth, while the influencing factors were evaluated with regression analysis. To determine whether COVID-19s policies and events affected its temporal distribution, the cases detected were graphed daily or biweekly with information on those two variables. Furthermore, the cumulative incidence was described in the linear regression analysis model as being significantly influenced by vaccinations and greatly elevated by population density. The biweekly chart had a random pattern with sharp decreases or spikes in cumulative incidence changes. Spatial and temporal analysis helps greatly in understanding distribution patterns and their influencing factors, specifically at the beginning of the pandemic. Plans and strategies for control and assessment programs may be supported by this study material.

Faktor Risiko Kejadian Sepsis Neonatorum Awitan Dini di Rumah Sakit Umum Pusat Dr. Hasan Sadikin Bandung

Latar belakang. Sepsis neonatorum merupakan salah satu penyakit infeksi pada bayi baru lahir yang masih menjadi masalah utama di negara berkembang seperti Indonesia. Faktor risiko terjadinya sepsis neonatorum awitan dini dapat dikelompokkan menjadi faktor ibu dan bayi. Faktor risiko ibu seperti ketuban pecah dini dan riwayat infeksi pada kehamilan, sedangkan faktor bayi adalah prematuritas, berat badan lahir rendah, skor APGAR rendah, air ketuban bercampur mekonium, asfiksia neonatorum, dan skor APGAR rendah.Tujuan. Penelitian ini bertujuan untuk mengetahui faktor risiko yang berhubungan dengan kejadian sepsis neonatorum awitan dini di RSUP Dr. Hasan Sadikin Bandung Metode. Penelitian ini merupakan studi observasional potong lintang pada neonatus yang lahir hidup di RSUP Dr. Hasan Sadikin Bandung periode Januari 2018 sampai Desember 2019 dengan metode total sampling. Analisis statistik menggunakan chi-square dan analisis multivariat dengan regresi logistik. Hasil bermakna apabila nilai p<0,05. Hasil. Penelitian ini menunjukkan bahwa angka kejadian sepsis neonatorum awitan dini tahun 2018 – 2019 adalah 8,1% dari 5224 subjek. Analisis bivariat chi square dan multivariat dengan regresi logistik menunjukkan faktor risiko seperti ketuban pecah dini OR 1,69 (p=<0,001; IK95%: 1,27 – 2,25), usia kehamilan 34 – 37 minggu OR 1,59 (p=0,036; IK95%:1,03 – 2,45), usia kehamilan <34 minggu OR 8,65 (p=<0,001; IK95%:5,47 – 13,70), sectio caesarea OR 1,42 (p=0,002;IK95%:1,14 – 1,77), dan berat badan lahir <2500 gram OR 2,59 (p=<0,001; IK95%: 1,73–3,89) mempunyai hubungan bermakna terhadap kejadian sepsis.Kesimpulan. Penelitian ini menunjukkan bahwa faktor risiko ibu dan bayi seperti ketuban pecah dini >18 jam, usia kehamilan <37 minggu, sectio caesarea dan berat badan lahir <2500 gram memiliki hubungan yang bermakna dengan kejadian sepsis neonatorum awitan dini.

Temporal Correlation Between Urban Microclimate, Vector Mosquito Abundance, and Dengue Cases

Dengue Hemorrhagic Fever (DHF) is a major mosquito-borne viral disease. Studies have reported a strong correlation between weather, the abundance of Aedes aegypti, the vector of DHF virus, and dengue incidence. However, this conclusion has been based on the general climate pattern of wide regions. In general, however, the human population, level of infrastructure, and land-use change in rural and urban areas often produce localized climate patterns that may influence the interaction between climate, vector abundance, and dengue incidence. Thoroughly understanding this correlation will allow the development of a customized and precise local early warning system. To achieve this purpose, we conducted a cohort study, during January-December 2017, in 16 districts in Bandung, West Java, Indonesia. In the selected areas, local weather stations and modified light mosquito traps were set up to obtain data regarding daily weather and the abundance of adult female Ae. aegypti. A generalized linear model was applied to analyze the effect of local weather and female adult Ae. aegypti on the number of dengue cases. The result showed a significant non-linear correlation among mosquito abundance, maximum temperature, and dengue cases. Using our model, the data showed that the addition of a single adult Ae. aegypti mosquito increased the risk of dengue infection by 1.8%, while increasing the maximum temperature by one degree decreased the risk by 17%. This finding suggests specific actionable insights needed to supplement existing mosquito eradication programs.

Research Priorities of Applying Low-Cost PM2.5 Sensors in Southeast Asian Countries

The low-cost and easy-to-use nature of rapidly developed PM_2.5 sensors provide an opportunity to bring breakthroughs in PM_2.5 research to resource-limited countries in Southeast Asia (SEA). This review provides an evaluation of the currently available literature and identifies research priorities in applying low-cost sensors (LCS) in PM_2.5 environmental and health research in SEA. The research priority is an outcome of a series of participatory workshops under the umbrella of the International Global Atmospheric Chemistry Project–Monsoon Asia and Oceania Networking Group (IGAC–MANGO). A literature review and research prioritization are conducted with a transdisciplinary perspective of providing useful scientific evidence in assisting authorities in formulating targeted strategies to reduce severe PM_2.5 pollution and health risks in this region. The PM_2.5 research gaps that could be filled by LCS application are identified in five categories: source evaluation, especially for the distinctive sources in the SEA countries; hot spot investigation; peak exposure assessment; exposure–health evaluation on acute health impacts; and short-term standards. The affordability of LCS, methodology transferability, international collaboration, and stakeholder engagement are keys to success in such transdisciplinary PM_2.5 research. Unique contributions to the international science community and challenges with LCS application in PM_2.5 research in SEA are also discussed.

Spatial and temporal analysis of hospitalized dengue patients in Bandung: demographics and risk

Background

Bandung, the fourth largest city in Indonesia and capital of West Java province, has been considered a major endemic area of dengue, and studies show that the incidence in this city could increase and spread rapidly. At the same time, estimation of incidence could be inaccurate due to a lack of reliable surveillance systems. To provide strategic information for the dengue control program in the face of limited capacity, this study used spatial pattern analysis of a possible outbreak of dengue cases, through the Geographic Information System (GIS). To further enhance the information needed for effective policymaking, we also analyzed the demographic pattern of dengue cases.

Methods

Monthly reports of dengue cases from January 2014 to December 2016 from 16 hospitals in Bandung were collected as the database, which consisted of address, sex, age, and code to anonymize the patients. The address was then transformed into geocoding and used to estimate the relative risk of a particular area’s developing a cluster of dengue cases. We used the kernel density estimation method to analyze the dynamics of change of dengue cases.

Results

The model showed that the spatial cluster of the relative risk of dengue incidence was relatively unchanged for 3 years. Dengue high-risk areas predominated in the southern and southeastern parts of Bandung, while low-risk areas were found mostly in its western and northeastern regions. The kernel density estimation showed strong cluster groups of dengue cases in the city.

Conclusions

This study demonstrated a strong pattern of reported cases related to specific demographic groups (males and children). Furthermore, spatial analysis using GIS also visualized the dynamic development of the aggregation of disease incidence (hotspots) for dengue cases in Bandung. These data may provide strategic information for the planning and design of dengue control programs.

Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure-Response Study in Indonesia

Background: Air pollution is an important risk factor for the disease burden; however there is limited evidence in Indonesia on the effect of air pollution on health, due to lack of exposure and health outcome data. The objective of this study is to evaluate the potential use of the IFLS data for response part of urban-scale air pollution exposure–health response studies. Methods: Relevant variables were extracted based on IFLS5 documentation review. Analysis of the spatial distribution of respondent, data completeness, prevalence of relevant health outcomes, and consistency or agreement evaluation between similar variables were performed. Power for ideal sample size was estimated. Results: There were 58,304 respondents across 23 provinces, with the highest density in Jakarta (750/district). Among chronic conditions, hypertension had the highest prevalence (15–25%) with data completeness of 79–83%. Consistency among self-reported health outcome variables was 90–99%, while that with objective measurements was 42–70%. The estimated statistical power for studying air pollution effect on hypertension (prevalence = 17%) in Jakarta was approximately 0.6 (α = 0.1). Conclusions: IFLS5 data has potential use for epidemiological study of air pollution and health outcomes such as hypertension, to be coupled with high quality urban-scale air pollution exposure estimates, particularly in Jakarta.

Survival Analysis of Chronic Kidney Disease Patients with Hemodialysis in West Java. Indonesia, Year 2007 - 2018

The prevalence of chronic kidney disease on dialysis or CKD5D is increasing with a significant impact on disease burden in many countries. Patients are usually listed in the national renal registries, which report demographic data, incidence, prevalence, and outcome. The survival rate is an important outcome measure to characterize the impact of treatment in the CKD5 patient population in the national and international renal registries. Indonesian Society of Nephrology (InaSN) has the Indonesian Renal Registry program to collect data that was endorsed to monitor dialysis treatment quality in Indonesia. IRR releases an annual report, but there is no survival analysis yet. This study aimed to discover the five-year survival rate of CKD5D patients in West Java between 2007–2018 and its factor based on the IRR database. A retrospective cohort study was performed by gaining all patients' data from the IRR database, then data on all of the patients from West Java province who completed a 5-year follow-up on December 31, 2018. Kaplan-Meier analysis and Cox proportional hazard's model were used to analyze the risk factors. There were 3,199 data included in this study. In total, the 1, 2, 3, 4, and 5 year survival rates are 82%, 70%, 62%, 58%, and 55 %, respectively. Patients whose age is above 55 years and with unknown underlying kidney disease have a worse survival rate with a hazard ratio of 1.28 and 1.50, respectively. Further exploration of IRR data will provide better information on dialysis treatment in Indonesia.

Health Care–Seeking Behavior of Children With Acute Respiratory Infections Symptoms: Analysis of the 2012 and 2017 Indonesia Demographic and Health Surveys

Our study examined factors associated with the utilization of health services in children younger than 5 years with acute respiratory infections (ARIs) symptoms in Indonesia. Data were derived from the 2012 and 2017 Indonesia Demographic and Health Survey. Information from 1408 children younger than 5 years showing ARI symptoms in the past 2 weeks before the survey was analyzed using logistic regression analyses. Around 25% of children younger than 5 years with ARI symptoms did not receive medical care. The odds of receiving care increased in mothers from rich households. The odds reduced in children aged 2 or more years; children of mothers not assisted by trained delivery attendants; mothers attending none or <4 antenatal visits; mothers delivering at home, and mothers reporting that permission to visit health services was a problem. Efforts to improve care-seeking behavior are required. Health promotion strategies and interventions to improve access to reach community not regularly exposed to health services are important.

Biopsychosocial model of illnesses in primary care: A hermeneutic literature review

Biopsychosocial model is a useful worldview for primary care or family doctors. However, it is often considered as impractical or too complicated. The objective of this study is to review the implementation of the biopsychosocial model in clinical practice, and its contributions to clinical outcomes. Hermeneutic circle literature review was conducted to provide experiential learning in an attempt to understand biopscyhosocial model, first developed by George Engel. Literature search started with review articles in Medline and Scopus as search engines. Citations from previous articles, editorials, and research articles were identified and interpreted in the context of the knowledge derived from all identified relevant articles. The progress of biopsychosocial model has been slow, and primary care doctors do not implement biopsychosocial medicine in their practice, while biomedical thinking and approach are still the dominant model. Biopsychosocial research addressed chronic illnesses and functional disorders as conditions in need for biopsychosocial model implementation. As payment scheme, clinical guidelines and clinical performance indicators are biomedically oriented, there is no incentive for primary care doctors to adopt biopsychosocial model in their practice. Workload and lack of competence in primary care may hinder the implementation of biopsychosocial model. Biopsychosocial model helps primary care doctors to understand interactions among biological and psychosocial components of illnesses to improve the dyadic relationship between clinicians and their patients and multidisciplinary approaches in patient care. Biopsychosocial model potentially improves clinical outcomes for chronic diseases and functional illnesses seen in primary care.

Demographic and ecological risk factors for human influenza A virus infections in rural Indonesia

Background

Indonesia has the world's highest reported mortality for human infections with highly pathogenic avian influenza (HPAI) A(H5N1) virus. Indonesia is an agriculturally driven country where human‐animal mixing is common and provides a unique environment for zoonotic influenza A virus transmission.

Objectives

To identify potential demographic and ecological risk factors for human infection with seasonal influenza A viruses in rural Indonesia, a population‐based study was conducted in Cileunyi and Soreang subdistricts near Bandung in western Java from 2008 to 2011.

Methods

Passive influenza surveillance with RT‐PCR confirmation of influenza A viral RNA in respiratory specimens was utilized for case ascertainment. A population census and mapping were utilized for population data collection. The presence of influenza A(H3N2) and A(H1N1)pdm09 virus infections in a household was modeled using Generalized Estimating Equations.

Results

Each additional child aged <5 years in a household increased the odds of H3N2 approximately 5 times (OR=4.59, 95%CI: 3.30‐6.24) and H1N1pdm09 by 3.5 times (OR=3.53, 95%CI: 2.51‐4.96). In addition, the presence of 16‐30 birds in the house was associated with an increased odds of H3N2 (OR=5.08, 95%CI: 2.00‐12.92) and H1N1pdm09 (OR=12.51 95%CI: 6.23‐25.13).

Conclusion

Our findings suggest an increase in influenza A virus infections in rural Indonesian households with young children and poultry.

An estimation of the occupational risk of HBV, HCV and HIV infection among Indonesian health-care workers

AIM

to estimate the occupational risk of HBV, HCV and HIV infections among Indonesian HCWs.

METHODS

the model developed by WHO was used to calculate the risk. The input parameters were selected from the best available evidence in Indonesia through a literature review.

RESULTS

in 2005, sharps injuries led to an estimated 1445 infections with HBV, 399 with HCV and 18 with HIV among health-care workers (HCWs) in Indonesia. The attributable fractions of these infections due to sharps injuries among HCWs in Indonesia were estimated to be approximately 44%, 47%, and 11% for HBV, HCV and HIV, respectively.

CONCLUSION

those data show that HCWs in Indonesia may face significant occupational risks of contracting viral hepatitis due to sharps injuries. In order to produce better estimates prospective studies in different health care settings are urgently needed.

Nasopharyngeal bacterial carriage and antimicrobial resistance in underfive children with community acquired pneumonia

Lung puncture is the best way to determine the etiology of pneumonia since it yields the highest rate of positive cultures. However, this procedure is difficult, especially for a study in the community. According to WHO, isolates to be tested for antimicrobial resistance in the community should be obtained from nasopharyngeal (NP) swabs. Previous studies support the use of NP isolates to determine antimicrobial resistance patterns of isolates from children with pneumonia. The aim of our study was to know the bacterial patterns of the nasopharynx in underfive children with community acquired pneumonia and their antimicrobial resistance. The study was carried out in 4 Primary Health Clinics in Majalaya sub-district, Bandung, Indonesia. All underfives with cough or difficult breathing and classified as having non-severe pneumonia (WHO guidelines), were included in the study. Nasopharyngeal swabs (CDC/WHO Manual) were obtained by the doctor, the swabs were placed in Amies transport medium and stored in a sterile jar before taken to the laboratory in the same day. All children were treated with co-trimoxazole. During the nine month study, 698 children with clinical signs of non-severe pneumonia were enrolled. About 25% of the nasopharyngeal specimens yielded bacterial isolates; the two most frequently found were S. pneumoniae and S. epidermidis. The antimicrobial resistance test to co-trimoxazole showed 48.2% S. pneumoniae strain had full resistance and 32.7% showed intermediate resistance to co-trimoxazole. This result is almost similar to other studies from Asian countries. It seems that H. influenzae is not a problem in the study area; however, further studies are needed.