1
|
Peptenatu D, Băloi AM, Andronic O, Bolocan A, Cioran N, Gruia AK, Grecu A, Panciu TC, Georgescu L, Munteanu I, Pistol A, Furtunescu F, Strâmbu IR, Ibrahim E, Băiceanu D, Popescu GG, Păduraru D, Jinga V, Mahler B. Spatio-Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection. GEOHEALTH 2024; 8:e2023GH000972. [PMID: 38638801 PMCID: PMC11025721 DOI: 10.1029/2023gh000972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 04/20/2024]
Abstract
The study proposes a dynamic spatio-temporal profile of the distribution of tuberculosis incidence and air pollution in Romania, where this infectious disease induces more than 8,000 new cases annually. The descriptive analysis for the years 2012-2021 assumes an identification of the structuring patterns of mycobacterium tuberculosis risk in the Romanian population, according to gender and age, exploiting spatial modeling techniques of time series data. Through spatial autocorrelation, the degree of similarity between the analyzed territorial systems was highlighted and the relationships that are built between the analysis units in spatial proximity were investigated. By modeling the geographical distribution of tuberculosis, the spatial correlation with particulate matter (PM2.5) pollution was revealed. The identification of clusters of infected persons is an indispensable step in the construction of efficient tuberculosis management systems. The results highlight the link between the distribution of tuberculosis, air pollution and socio-economic development, which requires a detailed analysis of the epidemiological data obtained in the national tuberculosis surveillance and control program from the perspective of geographical distribution.
Collapse
Affiliation(s)
- D. Peptenatu
- Faculty of GeographyResearch Center for Integrated Analysis and Territorial Management (CAIMT)University of BucharestBucharestRomania
- Graphit Innovation FactoryStr.Constantin BrancoveanuDrobeta Turnu SeverinRomâniaRomânia
| | - A. M. Băloi
- Faculty of GeographyResearch Center for Integrated Analysis and Territorial Management (CAIMT)University of BucharestBucharestRomania
- Graphit Innovation FactoryStr.Constantin BrancoveanuDrobeta Turnu SeverinRomâniaRomânia
- Faculty of Administration and BusinessUniversity of BucharestBucharestRomania
| | - O. Andronic
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - A. Bolocan
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - N. Cioran
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - A. K. Gruia
- Faculty of Administration and BusinessUniversity of BucharestBucharestRomania
| | - A. Grecu
- Faculty of Administration and BusinessUniversity of BucharestBucharestRomania
| | - T. C. Panciu
- Marius Nasta Institute of PneumologyBucharestRomania
| | - L. Georgescu
- Marius Nasta Institute of PneumologyBucharestRomania
| | - I. Munteanu
- Marius Nasta Institute of PneumologyBucharestRomania
| | - A. Pistol
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - F. Furtunescu
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - I. R. Strâmbu
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - E. Ibrahim
- Marius Nasta Institute of PneumologyBucharestRomania
| | - D. Băiceanu
- Marius Nasta Institute of PneumologyBucharestRomania
| | - G. G. Popescu
- Marius Nasta Institute of PneumologyBucharestRomania
| | - D. Păduraru
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - V. Jinga
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - B. Mahler
- Carol Davila University of Medicine and PharmacyBucharestRomania
| |
Collapse
|
2
|
Santos JA, Santos DT, Arcencio RA, Nunes C. Space-time clustering and temporal trends of hospitalizations due to pulmonary tuberculosis: potential strategy for assessing health care policies. Eur J Public Health 2021; 31:57-62. [PMID: 32989451 DOI: 10.1093/eurpub/ckaa161] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) causes pressure on healthcare resources, especially in terms of hospital admissions, despite being considered an ambulatory care-sensitive condition for which timely and effective care in ambulatory setting could prevent the need for hospitalization. Our objectives were to describe the spatial and temporal variation in pulmonary tuberculosis (PTB) hospitalizations, identify critical geographic areas at municipality level and characterize clusters of PTB hospitalizations to help the development of tailored disease management strategies that could improve TB control. METHODS Ecologic study using sociodemographic, geographical and clinical information of PTB hospitalization cases from continental Portuguese public hospitals, between 2002 and 2016. Descriptive statistics, spatiotemporal cluster analysis and temporal trends were conducted. RESULTS The space-time analysis identified five clusters of higher rates of PTB hospitalizations (2002-16), including the two major cities in the country (Lisboa and Porto). Globally, we observed a -7.2% mean annual percentage change in rate with only one of the identified clusters (out of six) with a positive trend (+4.34%). In the more recent period (2011-16) was obtained a mean annual percentage change in rate of -8.12% with only one cluster identified with an increase trend (+9.53%). CONCLUSIONS Our results show that space-time clustering and temporal trends analysis can be an invaluable resource to monitor the dynamic of the disease and contribute to the design of more effective, focused interventions. Interventions such as enhancing the detection of active and latent infection, improving monitoring and evaluation of treatment outcomes or adjusting the network of healthcare providers should be tailored to the specific needs of the critical areas identified.
Collapse
Affiliation(s)
- João Almeida Santos
- NOVA National School of Public Health, Universidade NOVA de Lisboa, Lisboa, Portugal.,Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Lisboa, Portugal.,NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisboa, Portugal
| | - Danielle T Santos
- NOVA National School of Public Health, Universidade NOVA de Lisboa, Lisboa, Portugal.,Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Sao Paulo, Brasil
| | - Ricardo A Arcencio
- Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Sao Paulo, Brasil
| | - Carla Nunes
- NOVA National School of Public Health, Universidade NOVA de Lisboa, Lisboa, Portugal.,NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisboa, Portugal
| |
Collapse
|
3
|
Alene KA, Xu Z, Bai L, Yi H, Tan Y, Gray DJ, Viney K, Clements ACA. Spatiotemporal Patterns of Tuberculosis in Hunan Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136778. [PMID: 34202504 PMCID: PMC8297355 DOI: 10.3390/ijerph18136778] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 05/04/2021] [Accepted: 06/16/2021] [Indexed: 11/25/2022]
Abstract
Tuberculosis (TB) is the leading cause of death from a bacterial pathogen worldwide. China has the third highest TB burden in the world, with a high reported burden in Hunan Province (amongst others). This study aimed to investigate the spatial distribution of TB and identify socioeconomic, demographic, and environmental drivers in Hunan Province, China. Numbers of reported cases of TB were obtained from the Tuberculosis Control Institute of Hunan Province, China. A wide range of covariates were collected from different sources, including from the Worldclim database, and the Hunan Bureau of Statistics. These variables were summarized at the county level and linked with TB notification data. Spatial clustering of TB was explored using Moran’s I statistic and the Getis–Ord statistic. Poisson regression models were developed with a conditional autoregressive (CAR) prior structure, and with posterior parameters estimated using a Bayesian approach with Markov chain Monte Carlo (MCMC) simulation. A total of 323,340 TB cases were reported to the Hunan TB Control Institute from 2013 to 2018. The mean age of patients was 51.7 years (SD + 17.6 years). The majority of the patients were male (72.6%, n = 234,682) and had pulmonary TB (97.5%, n = 315,350). Of 319,825 TB patients with registered treatment outcomes, 306,107 (95.7%) patients had a successful treatment outcome. The annual incidence of TB decreased over time from 85.5 per 100,000 population in 2013 to 76.9 per 100,000 population in 2018. TB case numbers have shown seasonal variation, with the highest number of cases reported during the end of spring and the beginning of summer. Spatial clustering of TB incidence was observed at the county level, with hotspot areas detected in the west part of Hunan Province. The spatial clustering of TB incidence was significantly associated with low sunshine exposure (RR: 0.86; 95% CrI: 0.74, 0.96) and a low prevalence of contraceptive use (RR: 0.88; 95% CrI: 0.79, 0.98). Substantial spatial clustering and seasonality of TB incidence were observed in Hunan Province, with spatial patterns associated with environmental and health care factors. This research suggests that interventions could be more efficiently targeted at locations and times of the year with the highest transmission risk.
Collapse
Affiliation(s)
- Kefyalew Addis Alene
- Faculty of Health Sciences, Curtin University, Perth 6102, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth 6009, Australia
| | - Zuhui Xu
- Department of Tuberculosis Control, Tuberculosis Control Institute of Hunan Province, Changsha 410000, China
| | - Liqiong Bai
- Department of Director's Office, Hunan Chest Hospital, Changsha 410013, China
| | - Hengzhong Yi
- Department of MDR-TB, Internal Medicine, Hunan Chest Hospital, Changsha 410013, China
| | - Yunhong Tan
- Department of MDR-TB, Internal Medicine, Hunan Chest Hospital, Changsha 410013, China
| | - Darren J Gray
- Research School of Population Health, the Australian National University, Canberra 2601, Australia
| | - Kerri Viney
- Research School of Population Health, the Australian National University, Canberra 2601, Australia
- Department of Global Public Health, Karolinska Institutet, 141 83 Stockholm, Sweden
- School of Public Health, The University of Sydney, Sydney 2006, Australia
| | - Archie C A Clements
- Faculty of Health Sciences, Curtin University, Perth 6102, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth 6009, Australia
| |
Collapse
|
4
|
Gwitira I, Karumazondo N, Shekede MD, Sandy C, Siziba N, Chirenda J. Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018. PLoS One 2021; 16:e0249523. [PMID: 33831058 PMCID: PMC8031317 DOI: 10.1371/journal.pone.0249523] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 03/21/2021] [Indexed: 12/19/2022] Open
Abstract
INTRODUCTION Accurate mapping of spatial heterogeneity in tuberculosis (TB) cases is critical for achieving high impact control as well as guide resource allocation in most developing countries. The main aim of this study was to explore the spatial patterns of TB occurrence at district level in Zimbabwe from 2015 to 2018 using GIS and spatial statistics as a preamble to identifying areas with elevated risk for prioritisation of control and intervention measures. METHODS In this study Getis-Ord Gi* statistics together with SaTscan were used to characterise TB hotspots and clusters in Zimbabwe at district level from 2015 to 2018. GIS software was used to map and visualise the results of cluster analysis. RESULTS Results show that TB occurrence exhibits spatial heterogeneity across the country. The TB hotspots were detected in the central, western and southern part of the country. These areas are characterised by artisanal mining activities as well as high poverty levels. CONCLUSIONS AND RECOMMENDATIONS Results of this study are useful to guide TB control programs and design effective strategies which are important in achieving the United Nations Sustainable Development goals (UNSDGs).
Collapse
Affiliation(s)
- Isaiah Gwitira
- Department of Geography Geospatial Sciences and Earth Observation, Faculty of Science, University of Zimbabwe, Harare, Zimbabwe
| | - Norbert Karumazondo
- Department of Geography Geospatial Sciences and Earth Observation, Faculty of Science, University of Zimbabwe, Harare, Zimbabwe
| | - Munyaradzi Davis Shekede
- Department of Geography Geospatial Sciences and Earth Observation, Faculty of Science, University of Zimbabwe, Harare, Zimbabwe
| | - Charles Sandy
- National TB Control Program, Ministry of Health and Child Care, Harare, Zimbabwe
| | - Nicolas Siziba
- National TB Control Program, Ministry of Health and Child Care, Harare, Zimbabwe
| | - Joconiah Chirenda
- Department of Community Medicine, Faculty of Medicine and Health Sciences, Parirenyatwa Hospital, University of Zimbabwe, Harare, Zimbabwe
| |
Collapse
|
5
|
Madhwal S, Prabhu V, Sundriyal S, Shridhar V. Ambient bioaerosol distribution and associated health risks at a high traffic density junction at Dehradun city, India. ENVIRONMENTAL MONITORING AND ASSESSMENT 2020; 192:196. [PMID: 32086610 PMCID: PMC7087893 DOI: 10.1007/s10661-020-8158-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 02/11/2020] [Indexed: 05/05/2023]
Abstract
Traffic junctions are one of the crowded places where commuters are at high risk of developing respiratory infections, due to their greater exposure to airborne and human transmitted microbial pathogens. An airborne bioaerosol assessment study was carried out at a high traffic density junction focusing on their concentration, contribution in respirable particulate matter (PM), and factors influencing the distribution and microbial diversity. Andersen six-stage viable cascade impactor and a wide-range aerosol spectrometer were used for microbial and particulate matter measurements, respectively. Statistical analysis was conducted to evaluate the relationship between bioaerosol concentration, vehicular count, PM concentration, and meteorological parameters. The mean bacteria concentration (1962.95 ± 651.85 CFU/m3) was significantly different than fungi (1118.95 ± 428.34 CFU/m3) (p < 0.05). The temporal distribution showed maximum concentration for bacteria and fungi during monsoon and postmonsoon seasons, respectively. In terms of bioaerosol loading, a considerable fraction of fungi (3.25%) and bacteria (5.65%) contributed to the total airborne PM. Most abundant bioaerosols were Aspergillus (27.58%), Penicillium (23%), and Cladosporium (14.05%) (fungi), and Micrococcus (25.73%), Staphylococcus (17.98%), and Bacillus (13.8%) (bacteria). Traffic-induced roadside soil resuspension and microbial aerosolizations from the human body were identified as the chief sources of bioaerosol emissions. The risk of lower respiratory tract infections caused by anthroponotic (human transmitted) transfer of bacterial pathogens is very high. The results of the study can be used to trace sources of microbial mediated communicable diseases, and to recommend appropriate safety measures to avoid pathogenic bioaerosol exposure.
Collapse
Affiliation(s)
- Sandeep Madhwal
- Environmental Pollution Assessment Laboratory, School of Environment & Natural Resources, Doon University, Dehradun, Uttarakhand, 248001, India
| | - Vignesh Prabhu
- Environmental Pollution Assessment Laboratory, School of Environment & Natural Resources, Doon University, Dehradun, Uttarakhand, 248001, India
| | - Sangeeta Sundriyal
- Environmental Pollution Assessment Laboratory, School of Environment & Natural Resources, Doon University, Dehradun, Uttarakhand, 248001, India
| | - Vijay Shridhar
- Environmental Pollution Assessment Laboratory, School of Environment & Natural Resources, Doon University, Dehradun, Uttarakhand, 248001, India.
| |
Collapse
|
6
|
Shaweno D, Karmakar M, Alene KA, Ragonnet R, Clements AC, Trauer JM, Denholm JT, McBryde ES. Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review. BMC Med 2018; 16:193. [PMID: 30333043 PMCID: PMC6193308 DOI: 10.1186/s12916-018-1178-4] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 09/20/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) transmission often occurs within a household or community, leading to heterogeneous spatial patterns. However, apparent spatial clustering of TB could reflect ongoing transmission or co-location of risk factors and can vary considerably depending on the type of data available, the analysis methods employed and the dynamics of the underlying population. Thus, we aimed to review methodological approaches used in the spatial analysis of TB burden. METHODS We conducted a systematic literature search of spatial studies of TB published in English using Medline, Embase, PsycInfo, Scopus and Web of Science databases with no date restriction from inception to 15 February 2017. The protocol for this systematic review was prospectively registered with PROSPERO ( CRD42016036655 ). RESULTS We identified 168 eligible studies with spatial methods used to describe the spatial distribution (n = 154), spatial clusters (n = 73), predictors of spatial patterns (n = 64), the role of congregate settings (n = 3) and the household (n = 2) on TB transmission. Molecular techniques combined with geospatial methods were used by 25 studies to compare the role of transmission to reactivation as a driver of TB spatial distribution, finding that geospatial hotspots are not necessarily areas of recent transmission. Almost all studies used notification data for spatial analysis (161 of 168), although none accounted for undetected cases. The most common data visualisation technique was notification rate mapping, and the use of smoothing techniques was uncommon. Spatial clusters were identified using a range of methods, with the most commonly employed being Kulldorff's spatial scan statistic followed by local Moran's I and Getis and Ord's local Gi(d) tests. In the 11 papers that compared two such methods using a single dataset, the clustering patterns identified were often inconsistent. Classical regression models that did not account for spatial dependence were commonly used to predict spatial TB risk. In all included studies, TB showed a heterogeneous spatial pattern at each geographic resolution level examined. CONCLUSIONS A range of spatial analysis methodologies has been employed in divergent contexts, with all studies demonstrating significant heterogeneity in spatial TB distribution. Future studies are needed to define the optimal method for each context and should account for unreported cases when using notification data where possible. Future studies combining genotypic and geospatial techniques with epidemiologically linked cases have the potential to provide further insights and improve TB control.
Collapse
Affiliation(s)
- Debebe Shaweno
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.
- Victorian Tuberculosis Program at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
| | - Malancha Karmakar
- Victorian Tuberculosis Program at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria, Australia
| | - Kefyalew Addis Alene
- Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Romain Ragonnet
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Burnet Institute, Melbourne, Australia
| | | | - James M Trauer
- Victorian Tuberculosis Program at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Justin T Denholm
- Victorian Tuberculosis Program at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria, Australia
| | - Emma S McBryde
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland, Australia
| |
Collapse
|
7
|
Huang L, Abe EM, Li XX, Bergquist R, Xu L, Xue JB, Ruan Y, Cao CL, Li SZ. Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China. Infect Dis Poverty 2018; 7:91. [PMID: 30115099 PMCID: PMC6097331 DOI: 10.1186/s40249-018-0470-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Accepted: 07/30/2018] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Pulmonary tuberculosis (PTB,both smear positive and smear negative) is an airborne infectious disease of major public health concern in China and other parts of the world where PTB endemicity is reported. This study aims at identifying PTB spatio-temporal clusters and associated risk factors in Zhaotong prefecture-level city, located in southwest China, where the PTB notification rate was higher than the average rate in the entire country. METHODS Space-time scan statistics were carried out using PTB registered data in the nationwide TB online registration system from 2011 to 2015, to identify spatial clusters. PTB patients diagnosed between October 2015 and February 2016 were selected and a structured questionnaire was administered to collect a set of variables that includes socio-economic status, behavioural characteristics, local environmental and biological characteristics. Based on the discovery of detailed town-level spatio-temporal PTB clusters, we divided selected subjects into two groups including the cases that resides within and outside identified clusters. Then, logistic regression analysis was applied comparing the results of variables between the two groups. RESULTS A total of 1508 subjects consented and participated in the survey. Clusters for PTB cases were identified in 38 towns distributed over south-western Zhaotong. Logistic regression analysis showed that history of chronic bronchitis (OR = 3.683, 95% CI: 2.180-6.223), living in an urban area (OR = 5.876, 95% CI: 2.381-14.502) and using coal as the main fuel (OR = 9.356, 95% CI: 5.620-15.576) were independently associated with clustering. While, not smoking (OR = 0.340, 95% CI: 0.137-0.843) is the protection factor of spatial clustering. CONCLUSIONS We found PTB specially clustered in south-western Zhaotong. The strong associated factors influencing the PTB spatial cluster including: the history of chronic bronchitis, living in the urban area, smoking and the use of coal as the main fuel for cooking and heating. Therefore, efforts should be made to curtail these associated factors.
Collapse
Affiliation(s)
- Li Huang
- Yunnan provincial Center for Disease Control and Prevention, Kunming, China
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Ruijing Er road 207, Shanghai, 200025 China
- National Research Center for Tropical Disease, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Eniola Michael Abe
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Ruijing Er road 207, Shanghai, 200025 China
- National Research Center for Tropical Disease, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Xin-Xu Li
- Center for Drug Evaluation, China Food and Drug Administration, Beijing, China
| | | | - Lin Xu
- Yunnan provincial Center for Disease Control and Prevention, Kunming, China
| | - Jing-Bo Xue
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Ruijing Er road 207, Shanghai, 200025 China
- National Research Center for Tropical Disease, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Yao Ruan
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Ruijing Er road 207, Shanghai, 200025 China
- National Research Center for Tropical Disease, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Chun-Li Cao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Ruijing Er road 207, Shanghai, 200025 China
- National Research Center for Tropical Disease, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Shi-Zhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Ruijing Er road 207, Shanghai, 200025 China
- National Research Center for Tropical Disease, Shanghai, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
- WHO Collaborating Center for Tropical Diseases, Shanghai, China
| |
Collapse
|
8
|
Shojaei SRH, Waghei Y, Mohammadzadeh M. Geostatistical analysis of disease data: a case study of tuberculosis incidence in Iran. J Appl Stat 2017. [DOI: 10.1080/02664763.2017.1375468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | - Yadollah Waghei
- Department of Statistics, University of Birjand, Birjand, Iran
| | | |
Collapse
|
9
|
Spatial Pattern Detection of Tuberculosis: A Case Study of Si Sa Ket Province, Thailand. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2015; 12:16005-18. [PMID: 26694437 PMCID: PMC4690976 DOI: 10.3390/ijerph121215040] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 12/10/2015] [Accepted: 12/11/2015] [Indexed: 11/30/2022]
Abstract
This retrospective population-based study was conducted to analyze spatial patterns of tuberculosis (TB) incidence in Si Sa Ket province, Thailand. TB notification data from 2004 to 2008 collected from TB clinics throughout the province was used along with population data to reveal a descriptive epidemiology of TB incidences. Global clustering patterns of the occurrence were assessed by using global spatial autocorrelation techniques. Additionally, local spatial pattern detection was performed by using local spatial autocorrelation and spatial scan statistic methods. The findings indicated clusters of the disease occurred in the study area. More specifically, significantly high-rate clusters were mostly detected in Mueang Si Sa Ket and Khukhan districts, which are located in the northwestern part of the province, while significantly low-rate clusters were persistent in Kantharalak and Benchalak districts, which are located at the southeastern area.
Collapse
|
10
|
Santos Neto M, Yamamura M, Garcia MCDC, Popolin MP, Rodrigues LBB, Chiaravalloti Neto F, Fronteira I, Arcêncio RA. Pulmonary tuberculosis in São Luis, State of Maranhão, Brazil: space and space-time risk clusters for death (2008-2012). Rev Soc Bras Med Trop 2015; 48:69-76. [PMID: 25860467 DOI: 10.1590/0037-8682-0290-2014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 02/10/2015] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION The objective was to identify space and space-time risk clusters for the occurrence of deaths in a priority city for the control of tuberculosis (TB) in the Brazilian Northeast. METHODS Ecological research was undertaken in the City of São Luis/Maranhão. Cases were considered that resulted in deaths in the population living in the urban region of the city with pulmonary TB as the basic cause, between 2008 and 2012. To detect space and space-time clusters of deaths due to pulmonary TB in the census sectors, the spatial analysis scan technique was used. RESULTS In total, 221 deaths by TB occurred, 193 of which were due to pulmonary TB. Approximately 95% of the cases (n=183) were geocoded. Two significant spatial clusters were identified, the first of which showed a mortality rate of 5.8 deaths per 100,000 inhabitants per year and a high relative risk of 3.87. The second spatial cluster showed a mortality rate of 0.4 deaths per 100,000 inhabitants per year and a low relative risk of 0.10. A significant cluster was observed in the space-time analysis between 11/01/2008 and 04/30/2011, with a mortality rate of 8.10 deaths per 100,000 inhabitants per year and a high relative risk (3.0). CONCLUSIONS The knowledge of priority sites for the occurrence of deaths can support public management to reduce inequities in the access to health services and permit an optimization of the resources and teams in the control of pulmonary TB, providing support for specific strategies focused on the most vulnerable populations.
Collapse
Affiliation(s)
- Marcelino Santos Neto
- Centro de Ciências Sociais Saúde e Tecnologia, Universidade Federal do Maranhão, Imperatriz, MA, Brazil
| | - Mellina Yamamura
- Departamento de Enfermagem Materno-Infantil e Saúde Pública, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Maria Concebida da Cunha Garcia
- Departamento de Enfermagem Materno-Infantil e Saúde Pública, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Marcela Paschoal Popolin
- Departamento de Enfermagem Materno-Infantil e Saúde Pública, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | | | | | - Inês Fronteira
- Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Ricardo Alexandre Arcêncio
- Departamento de Enfermagem Materno-Infantil e Saúde Pública, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| |
Collapse
|
11
|
Garberi J, Labrador J, Garberi F, Garberi JE, Peneipil J, Garberi M, Scigliano L, Troncoso A. Diagnosis of Mycobacterium tuberculosis using molecular biology technology. Asian Pac J Trop Biomed 2014; 1:89-93. [PMID: 23569734 DOI: 10.1016/s2221-1691(11)60002-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2011] [Revised: 02/21/2011] [Accepted: 03/16/2011] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To present an integrated molecular biology dedicated system for tuberculosis diagnosis. METHODS One hundred and five sputum specimens from patients strongly suspected by clinical parameters of tuberculosis were studied by Ziehl-Neelsen staining, by cultivation on solid medium and by a balanced heminested fluorometric PCR system (Orange G3TB) that could preserve worker safety and produce a rather pure material free of potential inhibitors. DNA amplification was performed in a low cost tuberculosis termocycler-fluorometer. Produced double stranded DNA was flurometrically detected. The whole reaction was conducted in one single tube which would not be opened after adding the processed sample in order to minimize the risk of cross contamination with amplicons. RESULTS The assay was able to detect 30 bacillus per sample mL with 99.8% interassay variation coefficient. PCR was positive in 23 (21.9%) tested samples (21 of them were smear negative). In our study it showed a preliminary sensitivity of 94.5% for sputum and an overall specificity of 98.7%. CONCLUSIONS Total run time of the test is 4 h with 2.5 real working time. All PCR positive samples are also positive by microbiological culture and clinical criteria. Results show that it could be a very useful tool to increase detection efficiency of tuberculosis disease in low bacilus load samples. Furthermore, its low cost and friendly using make it feasible to run in poor regions.
Collapse
Affiliation(s)
- Juan Garberi
- Laboratory of Molecular Biology and Pathology, School of Medicine, Buenos Aires University, Argentina
| | | | | | | | | | | | | | | |
Collapse
|
12
|
Miliary tuberculosis with bilateral pneumothorax – A case report. ASIAN PACIFIC JOURNAL OF TROPICAL DISEASE 2012. [DOI: 10.1016/s2222-1808(12)60109-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
13
|
Johnkennedy N, Onyinyechi AS, Chukwunyere NE. The antioxidant status and lipid peroxidation product of newly diagnosed and 6 weeks follow–up patients with pulmonary tuberculosis in Owerri, Imo state, Nigeria. ASIAN PACIFIC JOURNAL OF TROPICAL DISEASE 2011. [DOI: 10.1016/s2222-1808(11)60069-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
14
|
Molecular characterization of Mycobacterium tuberculosis isolates from Kandy, Sri Lanka. ASIAN PACIFIC JOURNAL OF TROPICAL DISEASE 2011. [DOI: 10.1016/s2222-1808(11)60024-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|