Determinants of Multidrug-Resistant Pulmonary Tuberculosis in Indonesia: A Spatial Analysis Perspective

Andini, Ni Luh Evindia; Oktora, Siskarossa Ika

doi:10.30812/varian.v6i1.1973

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…42,43 Population density can increase the risk of increased exposure for individuals suffering from pulmonary tuberculosis, which in turn facilitates the spread of the bacteria causing it. 44,45 In addition to density factors, the occurrence of tuberculosis is also influenced by other risk factors such as high poverty levels, low coverage of healthy housing, and poor hygiene and health practices. Therefore, the high number of detected tuberculosis cases in a particular area may also be influenced by the characteristics of other variables.…”

Section: Discussionmentioning

confidence: 99%

The association between climate variables and tuberculosis in Kolaka District, Southeast Sulawesi Province, Indonesia, 2013–2020: a Bayesian autoregressive model

Tosepu,

Sani,

Effendy

et al. 2023

F1000Res

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Background Tuberculosis is one of the diseases that requires comprehensive treatment. This disease is highly contagious and can be transmitted through the air. Climate factors play a role in the increasing cases of tuberculosis. This study aimed to determine the correlation between climatic variables and TB in Kolaka District, Southeast Sulawesi Province, Indonesia, Methods This research was modeled using an autoregressive (AR) Bayesian model with three possible likelihoods; Gaussian, Poisson and Negative Binomial responses. Results Minimum temperature, a coefficient of 4.234 suggests that for every 1 degree increase in minimum temperature, there is an estimated increase of approximately four cases, assuming other variables remain constant. Maximum temperature, a coefficient of 17.851 suggests that for every 1 degree increase in maximum temperature, there is an estimated increase of around 17-18 cases, assuming other variables remain constant. Average temperature, a coefficient of 4.234 suggests that for every 1 degree increase in average temperature, there is an estimated increase of approximately four cases, assuming other variables remain constant. Humidity, a coefficient of -13.413 suggests that for every 1% increase in humidity, there is an estimated decrease of around 13 cases, assuming other variables remain constant. Rainfall, a coefficient of -0.327 suggests that for every 1 mm increase in rainfall, there is an estimated decrease of around 0.327 cases, assuming other variables remain constant. Light, a coefficient of -4.322 suggests that for every 1-hour increase in light duration, there is an estimated decrease of around four cases, assuming other variables remain constant. Conclusions Climate change has a significant impact on tuberculosis through temperature-related factors. These factors influence the prevalence, spread, and vulnerability to TB. Addressing these challenges requires a holistic approach involving adaptation planning. Strong public health systems and healthcare infrastructure can help mitigate the risks and impacts of climate change-related tuberculosis.

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Section: Discussionmentioning

confidence: 99%

The association between climate variables and tuberculosis in Kolaka District, Southeast Sulawesi Province, Indonesia, 2013–2020: a Bayesian autoregressive model

Tosepu,

Sani,

Effendy

et al. 2023

F1000Res

View full text Add to dashboard Cite

show abstract

“…Long According to the World Health Organization (WHO), Indonesia is the fifth largest country that contributes to DR-TB in 2020. 3,4 So, the problem of DR-TB has become a global public health issue until now. DR-TB is usually associated with strong inactivity, high prevalence with severe mortality, long treatment periods, drug side effects that decrease quality of life, and expensive costs making it a challenge to treat successfully.…”

mentioning

confidence: 99%

Oral Lichen Planus in Drug-Resistant Pulmonary Tuberculosis Patient: A Rare Case

Handayani,

Erya Rahim,

Nuriah Hikmawati

et al. 2024

Journal of Health and Dental Sciences

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Drug-resistant pulmonary tuberculosis (DR-TB) is a hurdle in controlling pulmonary tuberculosis. The mucocutaneous tissues, including the oral mucosa, can be impacted by DR-TB medication, although infrequent. Highlighting Oral Lichen Planus (OLP) as a rare oral finding of drug side effects in DR-TB patients. Two male patients in DR-TB Clinic RSUD Tangerang City were referred to the Oral Medicine Clinic for complaints in the oral cavity. Treatment for DR-TB was given to the patient in months 8 and 11. The microscopic examination and sputum culture were negative when consulted. The patient denied any oral cavity complaints before being diagnosed with DR-TB. The intraoral clinical examination showed erosive lesions with a white keratinized plaque on the lips, buccal mucosa, labial mucosa, and tongue consistent with OLP. Pharmacological management involved using corticosteroids for mouthwash and lip ointment with responsive results. Scheduled oral hygiene was also planned to eliminate focus infection in the oral cavity. OLP is a chronic inflammation of the oral mucosa mediated by immunological mechanisms and triggered by various agents. Drugs are one of the known triggers of OLP lesions. The findings of side effects in the oral mucosa tissue are believed to be a result of the DR-TB regimen of these two patients. Long-term drug use triggers the development of OLP in patients with DR-TB. OLP is an oral mucosa finding of drug side effects that is rarely reported in DR-TB patients.

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The association between climate variables and tuberculosis in Kolaka District, Southeast Sulawesi Province, Indonesia, 2013–2020: a Bayesian autoregressive model

Tosepu,

Sani,

Effendy

et al. 2024

F1000Res

View full text Add to dashboard Cite

Background Tuberculosis is one of the diseases that requires comprehensive treatment. This disease is highly contagious and can be transmitted through the air. Climate factors play a role in the increasing cases of tuberculosis. This study aimed to determine the correlation between climatic variables and TB in Kolaka District, Southeast Sulawesi Province, Indonesia, Methods This research was modeled using an autoregressive (AR) Bayesian model with three possible likelihoods; Gaussian, Poisson and Negative Binomial responses. Results Minimum temperature and average temperature, a coefficient of 4.234 suggests that for every 1 degree increase in minimum temperature, there is an estimated increase of approximately four cases, assuming other variables remain constant. Maximum temperature, a coefficient of 17.851 suggests that for every 1 degree increase in maximum temperature, there is an estimated increase of around 17-18 cases, assuming other variables remain constant. Humidity, a coefficient of -13.413 suggests that for every 1% increase in humidity, there is an estimated decrease of around 13 cases, assuming other variables remain constant. Rainfall, a coefficient of -0.327 suggests that for every 1 mm increase in rainfall, there is an estimated decrease of around 0.327 cases, assuming other variables remain constant. Light, a coefficient of -4.322 suggests that for every 1-hour increase in light duration, there is an estimated decrease of around four cases, assuming other variables remain constant. Conclusions Climate change has a significant impact on tuberculosis through temperature-related factors. These factors influence the prevalence, spread, and vulnerability to TB. Addressing these challenges requires a holistic approach involving adaptation planning. Strong public health systems and healthcare infrastructure can help mitigate the risks and impacts of climate change-related tuberculosis.

show abstract

Determinants of Multidrug-Resistant Pulmonary Tuberculosis in Indonesia: A Spatial Analysis Perspective

Cited by 4 publications

References 14 publications

The association between climate variables and tuberculosis in Kolaka District, Southeast Sulawesi Province, Indonesia, 2013–2020: a Bayesian autoregressive model

The association between climate variables and tuberculosis in Kolaka District, Southeast Sulawesi Province, Indonesia, 2013–2020: a Bayesian autoregressive model

Oral Lichen Planus in Drug-Resistant Pulmonary Tuberculosis Patient: A Rare Case

The association between climate variables and tuberculosis in Kolaka District, Southeast Sulawesi Province, Indonesia, 2013–2020: a Bayesian autoregressive model

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