scholarly journals Mortality in rural coastal Kenya measured using the Kilifi Health and Demographic Surveillance System: a 16-year descriptive analysis

2021 ◽  
Vol 6 ◽  
pp. 327
Author(s):  
Mark Otiende ◽  
Evasius Bauni ◽  
Amek Nyaguara ◽  
David Amadi ◽  
Christopher Nyundo ◽  
...  

Background: The Kilifi Health and Demographic Surveillance System (KHDSS) was established in 2000 to define the incidence and prevalence of local diseases and evaluate the impact of community-based interventions. KHDSS morbidity data have been reported comprehensively but mortality has not been described. This analysis describes mortality in the KHDSS over 16 years. Methods: We calculated mortality rates from 2003–2018 in four intervals of equal duration and assessed differences in mortality across these intervals by age and sex. We calculated the period survival function and median survival using the Kaplan–Meier method and mean life expectancies using abridged life tables. We estimated trend and seasonality by decomposing a time series of monthly mortality rates. We used choropleth maps and random-effects Poisson regression to investigate geographical heterogeneity. Results: Mortality declined by 36% overall between 2003–2018 and by 59% in children aged <5 years. Most of the decline occurred between 2003 and 2006. Among adults, the greatest decline (49%) was observed in those aged 15–54 years. Life expectancy at birth increased by 12 years. Females outlived males by 6 years. Seasonality was only evident in the 1–4 year age group in the first four years. Geographical variation in mortality was ±10% of the median value and did not change over time. Conclusions: Between 2003 and 2018, mortality among children and young adults has improved substantially. The steep decline in 2003–2006 followed by a much slower reduction thereafter suggests improvements in health and wellbeing have plateaued in the last 12 years. However, there is substantial inequality in mortality experience by geographical location.

2021 ◽  
Author(s):  
Mark Otiende ◽  
Evasius Bauni ◽  
Amek Nyaguara ◽  
David Amadi ◽  
Christopher Nyundo ◽  
...  

Background The Kilifi Health and Demographic Surveillance System (KHDSS) was established in 2000 to define the incidence and prevalence of local diseases and evaluate the impact of community-based interventions. KHDSS morbidity data have been reported comprehensively but mortality has not been described. This analysis describes mortality in the KHDSS over 16 years. Methods We calculated mortality rates from 2003-2018 in four intervals of equal duration and assessed differences in mortality across these intervals by age and sex. We calculated the period survival function and median survival using the Kaplan-Meier method and mean life expectancies using abridged life tables. We estimated trend and seasonality by decomposing a time series of monthly mortality rates. We used choropleth maps and random effects Poisson regression to investigate geographical heterogeneity. Results Mortality declined by 36% overall between 2003-2018 and by 59% in children aged <5 years. Most of the decline occurred between 2003 and 2006. Among adults, the greatest decline (49%) was observed in those aged 15-54 years. Life expectancy at birth increased by 12 years. Females outlived males by 6 years. Seasonality was only evident in the 1-4 year age group in the first four years. Geographical variation in mortality was +/-10% of the median value and did not change over time. Conclusions Between 2003-2018 mortality among children and young adults has improved substantially. The steep decline in 2003-2006 followed by a much slower reduction thereafter suggests improvements in health and wellbeing have plateaued in the last 12 years. However, there is substantial inequality in mortality experience by geographical location.


2013 ◽  
Vol 5 (3) ◽  
pp. 479-488 ◽  
Author(s):  
A. M. Fazle Rabbi

Life expectancy at birth is a well-known demographic measure of population longevity. Rationally, life expectancy at birth should be higher than life expectancy at any particular age. However, historically, lower life expectancy at birth is observed than that of age one, which diminishes the feature of life expectancy at birth as a prominent indicator of longevity. High infant and child mortality rates result in lower values of life expectancy at birth than at older ages. This imbalance in life table disappears only when the crossover occurs and it happens when the inverse of the infant mortality becomes equal to the life expectancy at age one. For Matlab Health and Demographic surveillance system of Bangladesh, life expectancy at age one is still higher than life expectancy at birth. Required infant mortality rate to achieve crossover suggests further decline in infant mortality for Matlab HDSS to attain crossover of life expectancy at birth and age one. Keywords: Life expectancies; Developing countries; Imbalance; Life table.  © 2013 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.  doi: http://dx.doi.org/10.3329/jsr.v5i3.14105 J. Sci. Res. 5 (3), 479-488 (2013)


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Komal Naeem ◽  
Muhammad Ilyas ◽  
Urooj Fatima ◽  
Momin Kazi ◽  
Fyezah Jehan ◽  
...  

ObjectiveThe mandate of establishing this DSS is to provide a research platform for both observational and interventional studies, with focus on maternal and child health, which could influence decision-making and planning for health strategies at local, national and international levels.IntroductionThe Karachi Health and Demographic Surveillance System was set up in year 2003 by the Department of Pediatrics and Child Health of the Aga Khan University, Karachi, Pakistan, in four peri-urban low socioeconomic communities of Karachi and covers an area of 17.6 square kilometers.(Figure 1)MethodsTotal population currently under surveillance is 299,009 for which a record of births, deaths, pregnancies and migration events is maintained by two monthly household visits. At each re-enumeration, Community Health Workers move through the area using GIS-derived maps and collect the information from households and conduct verbal autopsies for stillbirths and deaths of children under the age of five and adult female. Primary Health Care centre at each site provide free care to children under 5.ResultsThe demographic characteristics for the year 2016 are summarized in Table 1. The main demographic indicators for a period of five years enable us to study the trends of population dynamics and reasons for the change in the rates of stillbirth, under 5 children mortality and maternal mortality (Table 2). Under 5 mortality rates peaked in 2013 and 2016 due to measles epidemic. Within the time period of five years, a reduction in neonatal mortality rates is observed (Table 2).For over a decade, the KHDSS has been a platform for a variety of studies. At the outset, various epidemiological studies were conducted in the area of infectious diseases of children, identifying signs and symptoms in young infant requiring urgent referral, vaccine coverage and the impact of multiple interventions. The focus was on measuring burden of relevant and common childhood illnesses. Some of these projects include: calculation of the incidence of various infectious diseases like typhoid bacteremia, pneumonia and diarrhea, evaluation of effectiveness of various treatment regimens for neonatal sepsis, assessment of the acceptance of hospitalized care, determining etiology of moderate to severe diarrhea, assessment of burden and etiology of neonatal sepsis and a multi-center cohort measuring the burden of stillbirths, neonatal and maternal deaths. (1-5)ConclusionsAll the studies aim for improvement of public health policies and informed decision making at local and national levels. We have also established a bio-repository of a well-defined maternal and newborn cohort.References1. Group YICSS. Clinical signs that predict severe illness in children under age 2 months: a multicentre study. The Lancet. 2008;371(9607):135-42.2. Kotloff KL, Nataro JP, Blackwelder WC, Nasrin D, Farag TH, Panchalingam S, et al. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. The Lancet. 2013;382(9888):209-22.3. Mir F, Nisar I, Tikmani SS, Baloch B, Shakoor S, Jehan F, et al. Simplified antibiotic regimens for treatment of clinical severe infection in the outpatient setting when referral is not possible for young infants in Pakistan (Simplified Antibiotic Therapy Trial [SATT]): a randomised, open-label, equivalence trial. The Lancet Global Health. 2016.4. Shafiq Y, Nisar MI, Kazi AM, Ali M, Jamal S, Ilyas M, et al. Implementation of the ANISA Study in Karachi, Pakistan: Challenges and Solutions. The Pediatric infectious disease journal. 2016;35(5):S60-S4.5. group As. Burden, timing and causes of maternal and neonatal deaths and stillbirths in sub–Saharan Africa and South Asia: protocol for a prospective cohort study. Journal of Global Health. 2016;6(2).


2020 ◽  
Author(s):  
Sergi Trias-Llimós ◽  
Usama Bilal

The COVID-19 pandemic is causing substantial increases in mortality across populations, potentially causing stagnation or decline in life expectancy. We explored this idea by examining the impact of excess mortality linked to the COVID-19 crisis on life expectancy in the region of Madrid (Spain). Using data from the Daily Mortality Surveillance System (MoMo), we calculated excess mortality (death counts) for the weeks 10th to 14th in 2020 using data on expected and observed mortality, assuming no further excess mortality during the rest of the year. The expected annual mortality variation was +6%, +21% and +25% among men aged under 65, between 65 and 74 and over 75, respectively, and +5%, +13%, and 18% for women, respectively. This excess mortality during weeks 10th to 14th resulted in a life expectancy at birth decline of 1.6 years among men and 1.1 years among women. These estimates confirm that Madrid and other severely hit regions in the world may face substantial life expectancy declines.


PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e106197 ◽  
Author(s):  
Meghna Desai ◽  
Ann M. Buff ◽  
Sammy Khagayi ◽  
Peter Byass ◽  
Nyaguara Amek ◽  
...  

1999 ◽  
Vol 31 (3) ◽  
pp. 375-391 ◽  
Author(s):  
FRED N. BINKA ◽  
PIERRE NGOM ◽  
JAMES F. PHILLIPS ◽  
KUBAJE ADAZU ◽  
BRUCE B. MacLEOD

In 1993, the Navrongo Health Research Centre launched a new demographic research system for monitoring the impact of health service interventions in a rural district of northern Ghana. The Navrongo Demographic Surveillance System uses automated software generation procedures that greatly simplify the preparation of complex database management systems. This paper reviews the Navrongo model for data collection, as well as features of the Navrongo system that have led to its replication in other health research projects requiring individual-level longitudinal demographic data. Demographic research results for the first 2 years of system operation are indicative of a pretransitional rural society with high fertility, exceedingly high mortality risks, and pronounced seasonal out-migration.


2020 ◽  
Author(s):  
Sergi Trias-Llimós ◽  
Usama Bilal

The COVID-19 pandemic is causing substantial increases in mortality across populations, potentially causing stagnation or decline in life expectancy. We explored this idea by examining the impact of excess mortality linked to the COVID-19 crisis on life expectancy in the region of Madrid (Spain). Using data from the Daily Mortality Surveillance System (MoMo), we calculated excess mortality (death counts) for the weeks 10th to 14th in 2020 using data on expected and observed mortality, assuming no further excess mortality during the rest of the year. The expected annual mortality variation was +6%, +21% and +25% among men aged under 65, between 65 and 74 and over 75, respectively, and +5%, +13%, and 18% for women, respectively. This excess mortality during weeks 10th to 14th resulted in a life expectancy at birth decline of 1.6 years among men and 1.1 years among women. These estimates confirm that Madrid and other severely hit regions in the world may face substantial life expectancy declines.


2021 ◽  
Vol 13 (4) ◽  
pp. 2038
Author(s):  
Elena De la Poza ◽  
Paloma Merello ◽  
Antonio Barberá ◽  
Alberto Celani

Higher education institutions (HEIs) have voiced growing concerns about sustainability issues since Agenda 2030 was approved, but this is not enough for societal stakeholders seeking and delivering innovation and excellence. The 17 Sustainable Development Goals (SDGs) were adopted by all UN Member States in 2015 as a universal call to action, and pose a challenge for HEIs as for the efforts made to fulfill them and knowing how to assess their performance. However, the metric management system implemented by HEIs quickly led to rankings emerging, which compare HEIs to metrics not related to the sustainability dimensions of the 17 SDGs. The main aim of the paper is to assess the level of reporting and alignment of SDG achievements with the overall the Times Higher Education (THE) ranking score. For this purpose, our study (i) models and quantifies the impact of HEIs’ disclosure of SDG information on HEIs’ overall THE Impact Rankings score, (ii) analyzes whether the best ranked universities are indeed significantly related to different SDGs than other not-so-well-ranked ones, and (iii) models the differences in the overall score and its alignment with distinct SDGs by dimensions, subjects, and geographical regions. In order to do so, a descriptive analysis, non-parametric tests, and linear and logistic regression analyses were performed. Our results reveal that the overall ranking is related to the reporting of HEIs’ SDG achievements. Moreover, the more positive actions related to health, education, industry, responsible consumption and production, climate action, and partnerships there were, the higher the position of HEIs in the general ranking was. However, we found differences between top-ranking universities and others in geographical location, disclosed information, and impact. Thus, the best-ranked universities are more committed to transferring knowledge to industry to satisfy its needs (SDG9), support strong institutions in their countries, and promote peace and justice (SDG16). Finally, SDG9 and SDG17 are the most relevant and constant SDGs when modeling the alignment of SDGs with HEIs’ dimensions (teaching, research, citations, industry income, international outlook) and subjects (technological and social sciences and humanities). HEIs integrating SDG actions into the strategic management of universities and, consequently, reporting their SDG performance to promote sustainability and contribute to sustainable development, is advisable.


2021 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Muhammad Ramdhan

Abstrak: Kota Padang merupakan ibukota dari Provinsi Sumatera Barat yang berhadapan langsung dengan Samudera Hindia. Letak geografis Kota Padang menyebabkan Kota tersebut mengalami dampak akibat berbagai ancaman bencana yang terjadi akibat perubahan iklim dan pergerakan lempeng bumi. Makalah ini bertujuan untuk menggambarkan dampak dan adaptasi kerentanan pesisir di Kota Padang. Metoda yang dilakukan melalui penelusuran data sekunder dan analisis deskriptif. Dari penelusuran literatur yang ada, adaptasi yang dilakukan oleh pemerintah lokal masih memilih untuk pembangunan infrastruktur perlindungan pantai. Kedepannya pemerintah Kota Padang harus mempertimbangkan pengelolaan wilayah pesisir secara terintegrasi agar pembangunan di Kota Padang dapat berlangsung secara berkelanjutan. Kata Kunci: Adaptasi, ICZM ,Kerentanan, Pesisir Abstract: Padang city is the capital city of West Sumatra Province which faces directly to the Indian Ocean. The geographical location of the Padang city causes the city to experience the impact of various threats of disasters that occur due to climate change and the movement of the earth's plates. This paper aims is to describe the impact and adaptation of coastal vulnerability in Padang City. The method used were through secondary data research and descriptive analysis. From the search of the existing literature, the adaptation carried out by the local government still chooses to develop coastal protection infrastructure. In the future, the government of Padang City must consider the management of the coastal area in an integrated manner so that development in the City of Padang can take place in a sustainable manner. Keywords: Adaptation, Coastal, ICZM, Vulnerability


2017 ◽  
Vol 2 ◽  
pp. 51
Author(s):  
Christopher Nyundo ◽  
Aoife M. Doyle ◽  
David Walumbe ◽  
Mark Otiende ◽  
Michael Kinuthia ◽  
...  

Background: In 2014, a pilot study was conducted to test the feasibility of linking clinic attendance data for young adults at two health facilities to the population register of the Kilifi Health and Demographic Surveillance System (KHDSS). This was part of a cross-sectional survey of health problems of young people, and we tested the feasibility of using the KHDSS platform for the monitoring of future interventions. Methods: Two facilities were used for this study. Clinical data from consenting participants aged 18-24 years were matched to KHDSS records. Data matching was achieved using national identity card numbers or otherwise using a matching algorithm based on names, sex, date of birth, location of residence and the names of other homestead members. A study form was administered to all matched patients to capture reasons for their visits and time taken to access the services. Distance to health facility from a participants’ homestead was also computed. Results: 628 participated in the study: 386 (61%) at Matsangoni Health Centre, and 242 (39%) at Pingilikani Dispensary. 610 (97%) records were matched to the KHDSS register. Most records (605; 96%) were matched within these health facilities, while 5 (1%) were matched during homestead follow-up visits.  463 (75.9%) of those matched were women. Antenatal care (25%), family planning (13%), respiratory infections (9%) and malaria (9%) were the main reasons for seeking care. Antenatal clinic visits (n=175) and malaria (n=27) were the commonest reasons among women and men, respectively. Participants took 1-1.5 hours to access the services; 490 (81.0%) participants lived within 5 kilometres of a facility. Conclusions: With a full-time research clerk at each health facility, linking health-facility attendance data to a longitudinal HDSS platform was feasible and could be used to monitor and evaluate the impact of health interventions on health care outcomes among young people.


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