scholarly journals Deaths Ascribed to Non-Communicable Diseases among Rural Kenyan Adults Are Proportionately Increasing: Evidence from a Health and Demographic Surveillance System, 2003–2010

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e114010 ◽  
Author(s):  
Penelope A. Phillips-Howard ◽  
Kayla F. Laserson ◽  
Nyaguara Amek ◽  
Caryl M. Beynon ◽  
Sonia Y. Angell ◽  
...  
Keyword(s):  
Surveillance System ◽  
Communicable Diseases ◽  
Demographic Surveillance System ◽  
Non Communicable Diseases

scholarly journals Surveillance system evaluation of non-communicable diseases through integrated community-based intervention called ‘Posbindu PTM’ in Wonosobo district, Central Java province, Indonesia

2018 ◽  
pp. 15
Author(s):  
Rieski Prihastuti ◽  
Trisno Agung Wibowo ◽  
Misinem Misinem
Keyword(s):  
Surveillance System ◽  
Reporting System ◽  
Communicable Disease ◽  
Communicable Diseases ◽  
System Evaluation ◽  
Main Function ◽  
Community Based ◽  
Non Communicable Diseases ◽  
Surveillance System Evaluation ◽  
Non Communicable Disease

Purpose: Non-communicable diseases are leading cause of the global death, especially from cardiovascular disease, cancers, chronic obstructive pulmonary disease, and diabetes. Prevention and primary detection of non-communicable disease in Indonesia were done through integrated community-based intervention called ‘Posbindu PTM’. Implementation of ‘Posbindu PTM’ needed to be evaluated to determine each component in the non-communicable disease surveillance systems. Methods: This study was descriptive. Respondent were programmer in district health office and programmer in 24 primary health care in Wonosobo. Surveillance system evaluation that used was programs evaluation based on WHO (structure, main function, support function and quality of surveillance system). Results: The weakness of ‘Posbindu PTM’ in Wonosobo were lack of knowledge in the regulation, networking, collaborating, risk factor detecting and reporting; not availability of technical guidebook; low training participant; low monitoring and evaluation activity; also complex reporting system. There was 84% ‘Posbindu PTM’ that had not reported on time and 87,50 % programmer had not done the analysis, interpretation, and dissemination. This was related to the completeness of the report caused too many data that needed to be collected and affect the timeliness of the report. Conclusion: Strengthening ‘Posbindu PTM’ should be done in the reporting system aspect, especially in the timeliness and analysis of the report. Monthly reminder and refreshing in reporting system were done to improve the reporting system aspect.

scholarly journals Existing NCD Monitoring and Surveillance Systems and its adaptability to Fiji’s context: A Systematic Review

2021 ◽  
Vol 21 (7) ◽  
pp. 440-448
Author(s):  
Josua Ligairi ◽  
Donald Wilson ◽  
Isimeli Tukana
Keyword(s):  
Surveillance System ◽  
Prevention And Control ◽  
Communicable Diseases ◽  
Sentinel Surveillance ◽  
Surveillance Systems ◽  
Equal Distribution ◽  
Non Communicable Diseases ◽  
Mesh Terms ◽  
Monitoring And Surveillance ◽  
And Control

Introduction: The United Nations high-level meeting of the General Assembly on the Prevention and Control of Non-communicable Diseases passed a political declaration on Non-Communicable Diseases (NCD) prevention and control in 2011, emphasizing the great need for NCD surveillance including in Low-to-Middle-Income-Countries (LMICs). Method: A review of literature was conducted and set for full text citations published in English dated 1 January, 2007 to 31 August 2019. MESH terms or key words were selected from the following groups of generic terms: the following words “Health surveillance systems” and “NCD monitoring and surveillance system”. The literatures were tabulated according to the authors, date that was published and which journal, the title of the study, the surveillance design and their recommendations. The 13 articles that were identified, only one was conducted in a developing country while the rest were conducted in high income countries. Results: 60% of the NCD surveillace system reviewed use passive surveillance, 30% uses passive assisted sentinel surveillance and 10% use passive assited spatial surveillance. Based on countries surveillance system there was an equal distribution on involvement in policy development (33%), behavioural risk associated aggregates (33%) and intergrated health information System (33%).Through intense review, passive assisted sentinel surveillance was mostly practiced and the use of spatial surveillace in this context for interregional comparisons of specified diseases. Conclusion: There was less evidence on surveillance in LMIC but the following surveillance systems were identified as essential for Fiji’s proposed NCD surveillance system. This study suggest that a probable surveillance system that can be adopted by Fiji is a passive assisted sentinel surveillance system enhanced with Spatial data. Further consultation and a feasibility study can be proposed as a way forward for this study findings.

scholarly journals Geographic Information System as a health improvement tool: a resettlement camp in Mozambique

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Pinto de Oliveira ◽  
F Kapasula ◽  
F Correia
Keyword(s):  
Health Care ◽  
Information System ◽  
Geographic Information System ◽  
Surveillance System ◽  
Access To Health Care ◽  
Communicable Diseases ◽  
Geographic Information ◽  
Non Communicable Diseases ◽  
Access To Health ◽  
And Control

Abstract Cyclone Idai have devastated and displaced an estimated 1.85 million individuals across Mozambique. Around 90,000 cyclone survivors have been relocated to 66 resettlement camps. Doctors of the World Portuguese Delegation team is supporting the Sanitary Post of a resettlement camp, located in a remote rural area with limited resources. The first intervention was to build an epidemiological surveillance system in order to prevent and control communicable and non-communicable diseases and to improve access to health care. The health status in the resettlement camp using conventional and geographic information system techniques were attempted as a community-based census-type cross-sectional study. Location of tents, water holes and latrines were mapped. There were 2,170 people living in the 402 households interviewed. The reported age range of population was 1 day to 99 years, with a mean 19.3 years and a median of 15 years. Among residents, 4% (n = 90) reported a non-communicable disease: hypertension (75.5%), respiratory disease (22.2%), and a range of conditions (2.3%). The prevalence of mental and physical disabilities was 1.8% (n = 39). Regarding individual behavioral risk factors, 6.7% and 5.6% of the residents over 15 years, were currently using tobacco and alcohol, respectively. The distance from any household to the nearest waterpoint is less than 500 meters and almost all households (98.5%) distance more than 50 meters from the nearest toilet, as the standard recommended. The average number of people in the camp are in the standard recommended of 20 people per toilet facility with a ratio 15.8 person per latrine. Geographic information system technology was helpful for the improvement of strategies on surveillance, prevention and control regarding communicable and non-communicable diseases, in the resettlement camp. Also made it possible to set up a home health care system, promoting access to health care for the disabled residents. Key messages Geographic information systems proved to be very useful in the implementation and organization of the epidemic surveillance system of resettlement camp. The epidemic surveillance system allowed us to implement a home care system for patients with disabilities, to respond to acute illnesses and chronic diseases agudizations, and to identify outbreaks.

scholarly journals Seasonal and socio-demographic patterns of self-reporting major disease groups in north-west Burkina Faso: an analysis of the Nouna Health and Demographic Surveillance System (HDSS) data

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tobias Gottlieb-Stroh ◽  
Aurélia Souares ◽  
Till Bärnighausen ◽  
Ali Sié ◽  
Somkeita Pascal Zabre ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Rainy Season ◽  
Surveillance System ◽  
Communicable Diseases ◽  
Dry Season ◽  
Demographic Surveillance System ◽  
Economic Factors ◽  
North West ◽  
Major Disease ◽  
Socio Economic Factors

Abstract Background Sub-Saharan Africa (SSA) is facing a rapid growth of non-communicable diseases (NCDs), while communicable diseases still prevail. For rural SSA, evidence for this development is scarce. We aimed at quantifying self-reported major disease groups according to season, and determining the associations with socio-economic factors in rural Burkina Faso. Methods This study used data of 4192 adults (age range: 18–101 years; male: 49.0%) from the Nouna Health and Demographic Surveillance System (HDSS) in north-west Burkina Faso, rainy season of 2010 and dry season of 2011. We assessed the proportions and their 95% confidence intervals (CIs) of self-reported major disease groups as defined by the World Health Organization. For their associations with socio-economic factors, odds ratios (OR), 95% CIs and p-values were calculated by logistic regression. Results The surveys were completed by 3949 adults in 2010 (mean age: 37.5 ± 14.9 years, male: 48.8%) and by 4039 adults in 2011 (mean age: 37.3 ± 16.2 years, male: 49.1%). The proportions of self-reported communicable diseases were 20.7% (95% CI: 19.4–21.9%) in the rainy season and 11.0% (10.0–11.9%; McNemar’s p < 0.0001) in the dry season. Self-reported NCDs amounted to 5.3% (4.6–6.0%) and 4.5% (3.8–5.1%; p = 0.08), respectively. In each year, less than 1% reported injuries (p = 0.57). Few individuals reported an overlap of communicable diseases and NCDs: 1.4% in 2010 and 0.6% in 2011. In the multiple-adjusted models, formal education (vs. lack of education) showed the strongest association with self-reporting of communicable diseases in both seasons. For NCD-reporting, non-manual occupation (vs. manual) was positively associated, only in the rainy season. Conclusions Self-reporting of communicable diseases is subject to seasonal variation in this population in north-west Burkina Faso. The exact reasons for the low overall self-reporting of NCDs and injuries, apart from a low socio-demographic position, require further investigation.

scholarly journals COVID-19 in-hospital mortality in South Africa: the intersection of communicable and non-communicable chronic diseases in a high HIV prevalence setting

2020 ◽  
Author(s):  
WAASILA JASSAT ◽  
Cheryl Cohen ◽  
Maureen Masha ◽  
Susan Goldstein ◽  
Tendesayi Kufa-Chakezha ◽  
...  
Keyword(s):  
South Africa ◽  
Infectious Diseases ◽  
Hospital Mortality ◽  
Surveillance System ◽  
Hospital Admissions ◽  
Communicable Diseases ◽  
Middle Income ◽  
Non Communicable Diseases ◽  
Factors Associated ◽  
Increased Risk

Background: The interaction between COVID-19, non-communicable diseases, and chronic infectious diseases such as HIV and tuberculosis (TB) are unclear, particularly in low- and middle-income countries (LMIC) in Africa. We investigated this interaction using a nationally representative hospital surveillance system in South Africa. Methods: A national surveillance system for laboratory-confirmed COVID-19 hospital admissions (DATCOV) was established. Using DATCOV data, we describe the demographic characteristics, clinical features, and in-hospital mortality among individuals admitted to public and private hospitals with COVID-19 during 5 March to 11 August 2020. Multivariable logistic regression models were used to compare individuals who were HIV-infected and HIV-uninfected and determine the factors associated with in-hospital mortality. Findings: Hospital admissions peaked at 1,560 admissions per day, in late July. Among the 41,877 individuals admitted with laboratory-confirmed COVID-19, 7,662 (18.3%) died. Comorbidities were documented in 27,555 (65.8%) individuals, most commonly observed were hypertension (36.8%), diabetes (29.6%), obesity (19.7%), and HIV (8.7%); TB was reported in 0.7% of individuals. Increased risk of in-hospital mortality was associated with HIV and TB, as well as other described risk factors for COVID-19, such as increasing age, male sex, non-White race (Black, mixed and Indian race), chronic underlying conditions particularly hypertension, diabetes and obesity. In addition, HIV-infected individuals with immunosuppression had increased risk of mortality (adjusted odds ratio 2.2; 95% confidence interval 1.6-3.1). Among HIV-infected individuals, the prevalence of other comorbidities associated with severe COVID-19 outcomes was 39.9%. The effect of multiple comorbidities on mortality was similar in HIV-infected and -uninfected individuals. Interpretation: These data provide a better understanding of the interaction of non-communicable diseases, chronic infectious diseases like HIV and TB and COVID-19. Increasing age and presence of chronic underlying comorbidities (particularly hypertension and diabetes) are important additional factors associated with COVID-19 mortality in a middle-income African setting and are common among HIV-infected individuals. HIV- and TB-infected individuals, particularly those with additional comorbidities, would benefit from COVID-19 prevention and treatment programmes.

scholarly journals Non-communicable diseases are the leading cause of mortality in rural Birbhum, West Bengal, India: a sex-stratified analysis of verbal autopsies from a prospective cohort, 2012–2017

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e036578
Author(s):  
Rajesh Kumar Rai ◽  
Anamitra Barik ◽  
Saibal Mazumdar ◽  
Kajal Chatterjee ◽  
Yogeshwar V Kalkonde ◽  
...  
Keyword(s):  
Cause Of Death ◽  
Surveillance System ◽  
Causes Of Death ◽  
West Bengal ◽  
Communicable Diseases ◽  
Health Priorities ◽  
Rural India ◽  
Parasitic Diseases ◽  
Vital Event ◽  
Non Communicable Diseases

ObjectivesThere is a dearth of data on causes of death in rural India, which impedes identification of public health priorities to guide health interventions. This study aims to offer insights from verbal autopsies, to understand the pattern and distribution of causes of death in a rural area of Birbhum District, West Bengal, India.DesignCauses of death data were retrieved from a prospective vital event surveillance system.SettingThe Birbhum Population Project, a Health and Demographic Surveillance System, West Bengal, India.ParticipantsBetween January 2012 and December 2017, all deaths were recorded.Main outcome measuresTrained Surveyors tracked all deaths prospectively and used a previously validated verbal autopsy (VA) tool to record causes of death. Experienced physicians reviewed completed VA forms, and assigned cause of death using the 10th version of International Classification of Diseases. In addition to cause-specific mortality fraction, cause-specific crude death rate (CDR) among males and females were estimated.ResultsA total of 2320 deaths (1348 males and 972 females) were recorded. An estimated CDR was 708/100 000. Over half of all deaths (1176 deaths, 50.7%) were attributed to non-communicable diseases (NCDs), with nearly 30% of all deaths attributed to circulatory system disorders; whereas 24.2% and 3.9% deaths were due to cerebrovascular diseases and ischaemic heart disease, respectively. Equal percent (13%) of males died from external causes and from infectious and parasitic diseases, and 11% died from respiratory system-related diseases. Among females, 12% died from infectious and parasitic diseases. Among children aged 0–4 years, 50% of all male deaths and 45% of all female deaths were attributed to conditions in the perinatal period.ConclusionsNCDs are the leading cause of death among adults in a select population of rural Birbhum, India. Health programmes for rural India should prioritise plans to mitigate deaths due to NCDs.

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