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

MODIFIABLE AND NON-MODIFIABLE RISK FACTORS FOR TUBERCULOSIS AMONG ADULTS IN INDONESIA: A SYSTEMATIC REVIEW AND META-ANALYSIS

Background

Controlling tuberculosis (TB) determinant factors in Indonesia is one way to control TB in the community. A review is needed to explore risk factors for TB in Indonesia as the key strategies for accelerating the TB preventive program.The purpose of this review was to determine modifiable and non-modifiable risk factors for TB among adults in Indonesia.

Materials and Methods

A meta-analysis was undertaken to review current studies related to modifiable and non-modifiable risk factors for TB among adults in Indonesia. A search of PubMed, ProQuest, and Google Scholar for related articles published (January 2000 until December 2023). The Pooled Odds Ratio (POR) from the acquired data were calculated with a 95% CI. The fixed and random effects analysis was performed. The results were presented as forest plots, and Begg's test and Egger's test were used to examine study bias. Review Manager (RevMan) 5.4 and Stata 14.2 were used to process and analyze all of the data.

Results

This study results revealed the POR of non-modifiable risk factor (family history of TB) for TB among adults in Indonesia was 6.08 (95% CI 2.99-12.34). Based on modifiable risk factors, it is known that household contact have the highest POR (6.01, 2.57-14.04), followed by malnutrition (5.86, 2.50-13.69), inappropriate ventilation (5.57, 1.74-17.86), diabetes mellitus (4.92, 3.04-7.96), smoking behavior (3.24, 2.22-4.72), and low-income level (2.34, 1.42-3.87).

Conclusion

Based on significant factors that are related to TB incidence, the results of this review may be valuable to the government in identifying the optimal strategy for TB prevention among adults.

Health-Related Quality of Life of Tuberculosis Patients during the COVID-19 Pandemic in Conakry, Guinea: A Mixed Methods Study

The COVID-19 pandemic has had a significant impact on all facets of life and has exacerbated many challenges faced by people living with tuberculosis (TB). This study aimed to assess the health-related quality of life (HRQoL) of TB patients in Guinea during the first wave of the COVID-19 pandemic. A mixed methods study was conducted using two validated tools to assess HRQoL and qualitative interviews among TB patients enrolled in treatment at 11 health centers in Conakry, Guinea. Logistic regression was used to identify factors associated with the deterioration of HRQoL. We included 439 participants in the study, among whom 44% and 31% experienced pain and anxiety, respectively. We found that an increase in the number of household size and the distance from participants' residence to the health centers were significantly associated with lower HRQoL. Qualitative interviews highlighted nutritional and financial issues, which were exacerbated during the COVID-19 pandemic and beliefs that the Guinean Government's assistance plan was insufficient. This study supports the implementation of specific relief plans for TB patients, which includes nutritional and psychological support, especially those whose movements are limited by travel restrictions, preventing access to TB care, reducing work opportunities and exacerbating financial needs and stress.

Factors Associated of Multidrug-Resistance Tuberculosis among Minangkabau Ethnicity in Indonesia

BACKGROUND: Past tuberculosis therapy has been linked to an increased chance of developing multidrug-resistant tuberculosis (MDR-TB). Indonesia is placed 8th among the 27 nations with "high-burden" MDR-TB. AIM: The purpose of this study was to determine the risk factors associated of multidrug-resistance tuberculosis among minangkabau ethnicity in Indonesia. METHODS: The authors conducted a case control study. Data were gathered  in Dr. M Djamil General Hospital Padang, Lubuk Alung Hospital Pariaman and Primary Health Care in Padang Pariaman District from December 2019-March 2020. In this study, there were 73 cases (MDR-TB) and 219 controls (Tuberculosis) who were matched by age and sex. The sampling technique in this research was convenience sampling. Data were gathered from medical records. Bivariate and multivariate analysis were investigated using chi-square and logistic binary regression test. The data were analyzed using STATA version 14.2. Results: The risk factors for MDR-TB, cavitary pulmonary had the highest odds ratio (OR = 113.54 [95% CI 15.02-858.54]), followed by TB outside the lung (OR = 38,68 [95% CI 4.89-305.43]), nutritional status (OR = 10.92 [95% CI 5.79-20.56]), alcohol consumption (OR = 6.45 [95% CI 1.57-26.48]), working status (OR = 4.08 [95% CI 2.33-7.17]), level of education (OR = 2.79 [95% CI 1.61-4.85]), history of close contact to patients with MDR-TB and TB (OR = 2.35 [95% CI 1.30-4.22]) and diabetes mellitus (OR = 2.12 [95% CI 1.15-3.91]). Multivariate analysis found that patients with a cavitary pulmonary was significant dominant factors for MDR-TB. Conclusion: MDR-TB was predicted by previous tuberculosis therapy and cavitary pulmonary disease.

Survey data of COVID-19 vaccine side effects among hospital staff in a national referral hospital in Indonesia

In response to the current global challenge due to COVID-19, a dataset in this paper presented survey data of COVID-19 vaccine side effects among hospital staff in a national referral hospital in Indonesia. This survey data included the hospital staff of Dr. M. Djamil Hospital Padang, a national referral hospital in Indonesia, through a survey distributed via an online questionnaire, assessing COVID-19 vaccine side effects from 9th February to 13th February 2021. The items of the side effects included swelling, redness, itching, fever, headache, muscle pain, fatigue, coughing, diarrhea, nausea and vomiting, breathlessness, joint pain, fainted, anaphylactic reaction, itch, and swollen lymph nodes. In this survey data, we collected a total of 840 responses. The survey data were analyzed using univariate and bivariate analysis. Data analysis was performed using IBM version 25.0.

Dataset of Indonesian women's reproductive, high-fat diet and body mass index risk factors for breast cancer

This dataset describes a survey presenting reproductive, high-fat diet and body mass index (BMI) determinant factors for breast cancer among Indonesian women. The information was gathered from breast cancer and non-breast cancer patients via an online questionnaire, determining reproductive factors (menarche age, menopause age, first pregnancy age, parity, and breastfeeding), high-fat diet and BMI, from 1st June until 31th September 2020. Two hundred breast cancer patients and 200 non-breast cancer patients in Indonesia willing to fill out an online survey provided the samples. The data was analyzed using IBM version 25.0, which included univariate, bivariate, and multivariate analysis. The information would help Indonesian women in identifying the potential of breast cancer.

Dynamic analysis of a delayed COVID-19 epidemic with home quarantine in temporal-spatial heterogeneous via global exponential attractor method

As the COVID-19 epidemic has entered the normalization stage, the task of prevention and control remains very arduous. This paper constructs a time delay reaction-diffusion model that is closer to the actual spread of the COVID-19 epidemic, including relapse, time delay, home quarantine and temporal-spatial heterogeneous environment that affect the spread of COVID-19. These factors increase the number of equations and the coupling between equations in the system, making it difficult to apply the methods commonly used to discuss global dynamics, such as the Lyapunov function method. Therefore, we use the global exponential attractor theory in the infinite-dimensional dynamic system to study the spreading trend of the COVID-9 epidemic with relapse, time delay, home quarantine in a temporal-spatial heterogeneous environment. Using our latest results of global exponential attractor theory, the global asymptotic stability and the persistence of the COVID-19 epidemic are discussed. We find that due to the influence of relapse in the in temporal-spatial heterogeneity environment, the principal eigenvalue λ * can describe the spread of the epidemic more accurately than the usual basic reproduction number R 0 . That is, the non-constant disease-free equilibrium is globally asymptotically stable when λ * < 0 and the COVID-19 epidemic is persisting uniformly when λ * > 0 . Combine with the latest official data of the COVID-19 and the prevention and control strategies of different countries, some numerical simulations on the stability and global exponential attractiveness of the spread of the COVID-19 epidemic in China and the USA are given. The simulation results fully reflect the impact of the temporal-spatial heterogeneous environment, relapse, time delay and home quarantine strategies on the spread of the epidemic, revealing the significant differences in epidemic prevention strategies and control effects between the East and the West. The results of this study provide a theoretical basis for the current epidemic prevention and control.