Mortality Statistics Research Articles

Trends in drug overdose deaths in Mexico (1999–2019). A national descriptive analysis and interstate comparison

BackgroundWe assess trends in overdose mortality rates in Mexico from 1999 to 2019 and identify the states with the highest overdose mortality rates over time. MethodsThe analysis using mortality statistics examined deaths related to drug use. We estimated general overdose mortality rates at the national and state levels and calculated specific mortality rates associated with opioid and stimulant use using central rate estimation. We used joinpoint regression to analyse national and state-specific trends in overdose mortality from 1999 to 2019. FindingsNationally, the general overdose mortality rate increased annually by 10.49 % (p < 0.01, CI=11.4–18.9) from 2015 to 2019. The northern states of Baja California and Chihuahua were the states with the higher annual increases (18.6 %, p < 0.01, CI=4.2–29.6; and 15.6 %, p < 0.01, CI=12.9–19.7, respectively). By substance type, the national opioid-related mortality rate increased by 29.82 % per year from 2014 to 2019 (p < 0.01; CI=20.1–40.3), compared with an annual decrease of 11.43 % in the previous period (2005–2014) (p < 0.01; CI=-14.7- 8.0). Baja California was the state with the highest rise in opioid-related mortality from 2013 to 2019, with an annual increase of 15.84 % (p < 0.01; CI=1.4–32.3). Stimulant-related mortality increased by 21.79 % per year since 2013 (p < 0.01; CI=16.9–26.9), but it was not possible to calculate state-level trends. ConclusionsDrug-related mortality rates have increased in Mexico since 2015, particularly in the northern states of Baja California, Chihuahua, Sonora and Sinaloa. Improving harm reduction programmes and local surveillance of fatal and non-fatal overdoses is essential to address the silent escalation of overdose mortality.

Smoking is Associated With Impaired Long-term Quality of Life in Elderly People: A 22-year Cohort Study in NIPPON-DATA 90.

Whether smoking is associated with worse quality of life (QoL) or not is relatively controversial. The current study is to investigate the relationship between smoking and subjective QoL in a long cohort study. The NIPPON DATA 90 project collected 8,383 community residents in 300 randomly selected areas as baseline data in 1990, administered four follow-up QoL surveys, and evaluated mortality statistics. We conducted multinomial logistic regression analysis to compare past smokers and current smokers to never smokers, with impaired QoL and mortality as outcomes. In four follow-ups, QoL data was collected from 2,035, 2,252, 2,522, and 3,280 participants in 1995, 2000, 2005, and 2012, respectively. In the 1995 follow-up, current smoking at baseline was not associated with worse QoL. In 2000 and 2005 follow-ups, smoking was significantly associated with worse QoL (odds ratio [OR] 2.1; 95% confidence interval [CI], 1.33-3.36 and OR 2.29; 95% CI, 1.38-3.80, respectively). In the 2012 follow-up, smoking was not associated with QoL. Sensitivity analysis did not change the result significantly. In this study we found that baseline smoking was associated with worse QoL in long-follow-up.

Demographic Disparities in Lung Cancer Mortality and Trends in the United States From 1999 Through 2020: A Population-Based CDC Database Analysis.

Lung cancer is the leading cause of cancer-related mortality in the United States and is projected to account for 127,070 deaths in 2023. Although the lung cancer mortality rate has been decreasing over the last decade, demographic disparities in mortality still exist. We sought to determine the impact of demographic factors on lung cancer mortality and trends in the United States. We queried the Centers for Disease Control and Prevention (CDC) database for mortality statistics with an underlying cause of death of lung and bronchus cancer from 1999 through 2020. Age-adjusted mortality rates (AAMR) were calculated per 100,000 people. We assessed the AAMR by demographic variables, including race, geographic density, sex, age, and US census region. Temporal trends were evaluated using Joinpoint regression software, and average annual percent change (APC) was calculated. From 1999 through 2020, lung cancer led to 3,380,830 deaths. The AAMR decreased by 55.1 to 31.8, with an associated average APC of -2.6%. In 1999, men had an AAMR almost twice as high as women, but these differences became less pronounced over time. Rural populations experienced the highest AAMR and the slowest rate of decrease compared with urban populations, who experienced the lowest AAMR and fastest decrease. Non-Hispanic Black individuals experienced the highest AAMR, with an annual decrease of -3.0%. The West experienced the fastest decrease at -3.1% annually, whereas the Midwest experienced the slowest decrease at -2.0% annually. Although the mortality rate of lung cancer has been decreasing since 1999, not all demographic groups have experienced the same rates of decrease, and disparities in outcomes are still prevalent. Vulnerable subgroups need targeted interventions, such as the incorporation of patient navigators, improved screening chest CT scan access and follow-up, and telehealth expansion, which will improve the likelihood of earlier-stage diagnoses and the potential for curative treatments.

Asian and Pacific Islander cancer mortality trends in the United States between 1999-2020.

e23307 Background: The Asian and Pacific Islander (API) population is the fastest growing in the United States, composing nearly 7% of the US population. Although cancer is the second leading cause of death overall in the U.S., it is the leading cause of death in the API population. Despite this, no study has assessed trends in cancer mortality in API individuals in the US. Our aim was to analyze differences and trends in API cancer mortality in the U.S. between 1999 to 2020. Methods: The CDC WONDER database was used to determine mortality statistics for patients, classified as non-Hispanic Asian or Pacific Islander, with cancer (ICD-10 codes C00-C97) as the underlying cause of death between 1999 and 2020. Age-adjusted mortality rates (AAMR) were calculated per 100,000 deaths, and were stratified by cancer type, sex, population density, U.S. census region, and age. Joinpoint regression software was used to identify temporal trends. Average annual percent change (APC) was considered statistically significant if p &lt; 0.05. Results: Between 1999 and 2020, cancer accounted for 305,386 deaths in API individuals. During this period, there was a 30% decrease in mortality due cancer and a decrease in APC of -1.5% (p &lt; 0.05). When stratified by cancer site, the largest decrease in APC was in stomach cancer at -3.7% (p &lt; 0.05), and the largest increase was in uterine cancer at 2.6% (p &lt; 0.05). In 1999, males experienced an overall cancer-related AAMR of 151, 48% higher than females at 103; however, by 2020 these differences reduced, with males having a cancer-related AAMR of 105.6 vs API females of 80.9, a 25% difference. Males experienced a larger decrease in APC (-1.8%, p &lt; 0.05), compared with females (-1%, p &lt; 0.05). Rural populations had the largest cancer-related AAMR (113.0) and largest drop in APC (-2%, p &lt; 0.05), compared with urban groups with a cancer-related AAMR of 106.7 and APC drop (-1.3%, p &lt; 0.05). The highest cancer related AAMRs was seen in lung cancer (24.3 in urban vs 25.4 in rural). Liver-cancer related AAMR was highest in urban populations at 10.4 and lowest in rural populations at 8.2. Western census regions had the highest AAMR at 113.7 with an APC decrease of –1.4% and Southern census regions had the lowest AAMR at 90.5 with an APC decrease of –1.2%. Adults aged &gt; 65 experienced the highest cancer related AAMR at 588.2, and adults aged 25-44 demonstrated the lowest AAMR at 14.7. However, adults aged 25-44 experienced the largest decrease in APC at -2% (p &lt; 0.05), compared with adults aged &gt; 65 at -1.4% (p &lt; 0.05). Conclusions: Our study identifies a significant decrease in cancer mortality in API individuals between 1999 and 2020. The largest decrease seen was in stomach cancer; however, uterine cancer mortality has increased. Notably, liver cancer mortality was higher in urban rather than rural groups. Further studies may examine differences amongst API and other racial groups, and potential sources for the disparities seen amongst API individuals.

Fine particulate matter air pollution and health implications for Nairobi, Kenya

Background: Continuous ambient air quality monitoring in Kenya has been limited, resulting in a sparse data base on the health impacts of air pollution for the country. We have operated a centrally located monitor in Nairobi for measuring fine particulate matter (PM2.5), the pollutant that has demonstrated impact on health. Here, we describe the temporal levels and trends in PM2.5 data for Nairobi and evaluate associated health implications. Methods: We used a centrally located reference sensor, the beta attenuation monitor (BAM-1022), to measure hourly PM2.5 concentrations over a 3-year period (21 August 2019 to 20 August 2022). We used, at minimum, 75% of the daily hourly concentration to represent the 24-hour concentrations for a given calendar day. To estimate the deaths attributable to air pollution, we used the World Health Organization (WHO) AirQ+ tool with input as PM2.5 concentration data, local mortality statistics, and population sizes. Results: The daily (24-hour) mean (±SEM) PM2.5 concentration was 19. 2 ± 0.6 (µg/m3). Pollutant levels were lowest at 03:00 and, peaked at 20:00. Sundays had the lowest daily concentrations, which increased on Mondays and remained high through Saturdays. By season, the pollutant concentrations were lowest in April and highest in August. The mean annual concentration was 18.4 ± 7.1 (µg/m3), which was estimated to lead to between 400 and 1,400 premature deaths of the city’s population in 2021 hence contributing 5%–8% of the 17,432 adult deaths excluding accidents when referenced to WHO recommended 2021 air quality guideline for annual thresholds of 5 µg/m3. Conclusion: Fine particulate matter air pollution in Nairobi showed daily, day-of-week, and seasonal fluctuations consistent with the anthropogenic source mix, particularly from motor vehicles. The long-term population exposure to PM2.5 was 3.7 times higher than the WHO annual guideline of 5 µg/m3 and estimated to lead to a substantial burden of attributable deaths. An updated regulation targeting measures to reduce vehicular emissions is recommended.

Assessment of groundwater quality for human consumption and its health risks in the Middle Magdalena Valley, Colombia

Groundwater is the primary source of water for people living in rural areas, especially during seasons when surface water is contaminated or unavailable. In Colombia, people use groundwater as drinking water without additional treatment. In addition, there is no infrastructure for wastewater collection and sewage treatment in the region of the Middle Magdalena Valley. The current study aims to evaluate the quality of groundwater in this region to determine any potential health hazards associated with its consumption. To reach the objective, three (3) physicochemical and microbiological sampling campaigns were carried out during different hydrological periods. A total of 428 groundwater samples were analyzed for over 28 parameters. The results were compared with the water quality standards proposed by the US EPA and Colombian regulations for human consumption. The analysis revealed the presence of total and fecal coliforms in 89% and 58% of the analyzed samples, respectively, identifying them as the main contaminants in groundwater. Furthermore, the pH levels did not meet the standards set by the US EPA in 33.8% of the cases and by Colombian regulations in 31.02%. Additionally, 32.8%, 17.6%, 14.3%, and 10.9% of the samples failed to meet the established thresholds for apparent color, magnesium, iron, and nitrates, respectively, under both standards. Moreover, only the analyses of selenium, mercury, and zinc complied with the quality standards under both regulatory frameworks. Based on the Colombian Drinking-Water Quality Risk Index (CDWQRI-IRCA), the risk associated with water quality meant for human consumption was assessed. The results showed that over 84% of the samples analyzed posed a high risk to human health, 4.6% posed a medium risk, 5.5% posed a low risk, and only 5.7% posed no risk at all. Additionally, official mortality statistics for children under four years old were reviewed, which revealed two deaths in 2019 due to Acute Diarrheal Disease (ADD) caused by consumption of contaminated water. Therefore, it is crucial to implement water treatment systems, establish aqueducts in rural areas, and conduct rigorous and systematic monitoring of drinking water to ensure it is safe for human consumption. It is also important to track morbidity and mortality rates associated with water consumption.

An epidemiological profile of medico-legal autopsies at a tertiary care center

Background: An essential and necessary component of any investigation into a sudden, suspicious death is the medico-legal autopsy. It's critical to understand the profile of medico-legal autopsy cases in order to ascertain the mortality rate from non-natural causes in a given area and addressing the demographic requirements in accordance with the region's unique mortality statistics. Material &amp; Method: The present study was a retrospective study of autopsies performed at a tertiary care centre in southern Haryana, from January 2018 to December 2023. During this period a total of 886 medico legal autopsies were conducted. Relevant information and subjective data like age, gender, marital status &amp; manner of death have been collected from medico legal autopsy register from January 2018 to December 2023. Results: It was observed that out of 886 cases male outnumbered females in ratio 2.06:1. Majority of the victims belonged to the age group 21-30 years. Majority of the deaths occurred due to poisoning (n=264, 29.79%), followed by road traffic accidents 26.74%. Conclusion: Majority of cases were in the 3rd decade of life, males outnumbered females. Poisoning and road traffic accidents were the leading cause of death. Public attention, awareness, preventive and remedial strategies should be undertaken to reduce similar incidents.

Open surgical treatment for carotid stenoses

Globally, stroke is considered the second most common cause of death. According to the German Federal Statistical Office, 33.6% of mortality was due to cardiovascular diseases, making them the most prevalent cause of death. Specifically, cerebral infarctions were recorded as the cause in over 16,000cases. These figures underscore the significant role that cerebrovascular diseases play in Germany's mortality statistics. Notably, about 80% of strokes are ischemic. Moreover, one-fifth of all strokes result from extracranial carotid stenosis. The increase in stroke risk with advancing age, especially among men, is particularly striking. This trend highlights the growing importance of efficient stroke prevention and treatment in an aging society. Open surgical therapy, as acrucial treatment method, is increasingly important, especially as an emergency intervention. Its role in modern medicine emphasizes the urgency of prioritizing this life-saving procedure in healthcare and making it widely available.

Factors associated with non-fatal heart failure and atrial fibrillation or flutter within the first 30 days post COPD exacerbation: a nested case-control study

BackgroundAn immediate, temporal risk of heart failure and arrhythmias after a Chronic Obstructive Pulmonary Disease (COPD) exacerbation has been demonstrated, particularly in the first month post-exacerbation. However, the clinical profile of patients who develop heart failure (HF) or atrial fibrillation/flutter (AF) following exacerbation is unclear. Therefore we examined factors associated with people being hospitalized for HF or AF, respectively, following a COPD exacerbation.MethodsWe conducted two nested case-control studies, using primary care electronic healthcare records from the Clinical Practice Research Datalink Aurum linked to Hospital Episode Statistics, Office for National Statistics for mortality, and socioeconomic data (2014-2020). Cases had hospitalization for HF or AF within 30 days of a COPD exacerbation, with controls matched by GP practice (HF 2:1;AF 3:1). We used conditional logistic regression to explore demographic and clinical factors associated with HF and AF hospitalization.ResultsOdds of HF hospitalization (1,569 cases, 3,138 controls) increased with age, type II diabetes, obesity, HF and arrhythmia history, exacerbation severity (hospitalization), most cardiovascular medications, GOLD airflow obstruction, MRC dyspnea score, and chronic kidney disease. Strongest associations were for severe exacerbations (adjusted odds ratio (aOR)=6.25, 95%CI 5.10-7.66), prior HF (aOR=2.57, 95%CI 1.73-3.83), age≥80 years (aOR=2.41, 95%CI 1.88-3.09), and prior diuretics prescription (aOR=2.81, 95%CI 2.29-3.45).Odds of AF hospitalization (841 cases, 2,523 controls) increased with age, male sex, severe exacerbation, arrhythmia and pulmonary hypertension history and most cardiovascular medications. Strongest associations were for severe exacerbations (aOR=5.78, 95%CI 4.45-7.50), age≥80 years (aOR=3.15, 95%CI 2.26-4.40), arrhythmia (aOR=3.55, 95%CI 2.53-4.98), pulmonary hypertension (aOR=3.05, 95%CI 1.21-7.68), and prescription of anticoagulants (aOR=3.81, 95%CI 2.57-5.64), positive inotropes (aOR=2.29, 95%CI 1.41-3.74) and anti-arrhythmic drugs (aOR=2.14, 95%CI 1.10-4.15).ConclusionsCardiopulmonary factors were associated with hospitalization for HF in the 30 days following a COPD exacerbation, while only cardiovascular-related factors and exacerbation severity were associated with AF hospitalization. Understanding factors will help target people for prevention.

K-Track-Covid: interactive web-based dashboard for analyzing geographical and temporal spread of COVID-19 in South Korea.

The COVID-19 pandemic has necessitated the development of robust tools for tracking and modeling the spread of the virus. We present 'K-Track-Covid,' an interactive web-based dashboard developed using the R Shiny framework, to offer users an intuitive dashboard for analyzing the geographical and temporal spread of COVID-19 in South Korea. Our dashboard employs dynamic user interface elements, employs validated epidemiological models, and integrates regional data to offer tailored visual displays. The dashboard allows users to customize their data views by selecting specific time frames, geographic regions, and demographic groups. This customization enables the generation of charts and statistical summaries pertinent to both daily fluctuations and cumulative counts of COVID-19 cases, as well as mortality statistics. Additionally, the dashboard offers a simulation model based on mathematical models, enabling users to make predictions under various parameter settings. The dashboard is designed to assist researchers, policymakers, and the public in understanding the spread and impact of COVID-19, thereby facilitating informed decision-making. All data and resources related to this study are publicly available to ensure transparency and facilitate further research.

Homicide Patterns in Estonia During the 1994−2023 Period

This article describes patterns in the homicides committed in Estonia since the 1990s. The overall decreasing trend in mortality is first described using mortality statistics. Based on a dataset of court verdicts spanning the 2016−2023 period, we extend previous research in this domain by describing current homicide patterns. To reflect on changes, we compare the results yielded by our investigation with those obtained in prior key studies. According to our analyses, mortality due to homicide exhibited a relatively stable trend over the last decade, with alcohol as a major contributor to most of these incidents. At the same time, there has been a decrease in economically motivated cases, as well as in homicides committed with firearms. Guided by these results, we provide suggestions for future research aimed at contributing to the European Homicide Monitor (EHM) database.

Recognising inaccuracies in Australian suicide and 'hidden suicide' data.

To examine the effects of revision of Australian mortality statistics every year since 2007 on numbers and rates of suicide and 'hidden suicide'. Nine months after the end of each year, the Australian Bureau of Statistics releases preliminary statistics concerning deaths registered in that year, together with revised and finalised data regarding previous years. Numbers and rates of suicide and of deaths coded to selected categories of accidental, undetermined and unknown cause deaths were tabled. Upward revision of suicide and accidental drug poisoning death numbers, three years after first release, show that true rates are substantially higher than initially released data suggested. Concomitant downward revision of rates of undetermined and unknown cause deaths supports evidence that at first release some suicides are coded to these categories. Australia's finalised suicide data are likely to be more accurate than equivalent data from nations that do not revise mortality data. More comprehensive investigation (including verbal or psychological autopsy) in doubtful cases in Australia and elsewhere would probably lead to reported suicide rates being higher.

Mortality trend of ischemic heart disease (2008–2022): A retrospective analysis of epidemiological data

BackgroundAge-sex specific trend analyses of ischemic heart disease (IHD)-related mortality and prevalent risk factors can improve our understanding and approach to the disease. MethodsWe performed a 15-year retrospective epidemiological analysis of acute and chronic IHD-related mortality and prevalent cardiovascular risk factors using administrative data from Veneto, a socio-economically homogeneous Italian region. Standard mortality statistics using the underlying cause of death (UCOD) and deaths with any mention of IHD in death certificates (MCOD) from ICD-10 codes I20-I25 was performed between 2008 and 2022. ResultsA total of 134,327 death certificates reported IHD-related deaths, representing 18.6% of all deaths. Proportional mortality decreased from 14.6% in 2008 to 7.8% in 2022 for deaths with IHD as the UCOD and from 23.5% to 14.6% for deaths with IHD among the MCOD. A more pronounced decline of proportionate and case-specific mortality rate was seen in women. The decline in mortality over the whole study period was larger for acute (vs. chronic) IHD. The COVID-19 pandemic led to a marked increase in mortality in 2020 (+12.2%) with a subsequent further decline. IHD-related deaths displayed a typical seasonal pattern with more deaths during winter. The prevalence of cardiovascular risk factors was higher in IHD (vs. no IHD) deaths: this association appeared more pronounced in younger adults. ConclusionsWe provided an analysis of epidemiological trends in IHD-related mortality and prevalence of risk factors. Our findings indicate a change in the pattern of cardiovascular deaths and may suggest a switch in death from acute to chronic conditions.

IJCM_50A: Mortality trends in Indian prisons and its associated risk factors: a time trend analysis from 2017-2021

Background: The environmental health status of jail populations poses a significant public health threat for prisoners and the general population. The environment of jails provides a suitable foundation concerning morbidity and mortality of the general population due to the concentrated potential source of infectious diseases, difficult access to treatment for chronic health conditions, interruption in the continuity of care for serious behavioural health conditions, as well as on-going issues for the prevention and treatment of substance abuse disorders. Prisoners should receive a healthcare provision equivalent to people living in the community. Those rights, if fulfilled, will contribute to the process of social rehabilitation and will facilitate further reintegration into society on release. Objective: To analyze the mortality trends in Indian prisons from 2017-2021 and determine associated risk factors. Methodology: The various mortality statistics and associated risk factors were retrieved from the Prison Statistics of India report published annually by the National Crime Records Bureau, Ministry of Home Affairs. A literature search was also done in electronic databases like -PubMed, Google Scholar, and other platforms using keywords- mortality in prisons, prison health, and death in Indian jails. Results: The obtained estimates identified an ascending trend in mortality in Indian prisons due to cardiovascular diseases, lung diseases, and suicide, accompanied by a rising trend in mental illnesses. Overcrowding, inadequate manpower for healthcare facilities, and poor budget allocation for prison health are some notable causes of rising mortality. Conclusion: The study’s findings revealed that prisoners, despite being a vulnerable section of the population, are deprived of adequate medical facilities due to restrictions imposed by law. Therefore, reducing overcrowding, recruiting adequate manpower for healthcare facilities and adequate budget allocation for prison health shall play an instrumental role in reducing the trend of mental illnesses and mortality in Indian prisons.

IJCM_49A: Mortality trends of road traffic accidents due to human errors in Chhattisgarh and India (2016-2022)

Background: Road safety continues to be a major developmental issue, a public health concern and a leading cause of death and injury affecting not only the victims and their family but also the economy as a whole in terms of untimely deaths, disabilities and loss of potential income. India ranks 2nd in the number of road accidents and 1st in mortality due to RTA in the world. Road accidents are multi-causal due to interplay of various factors. These can be broadly categorized into those relating to (a) Human error (b) Road condition/ environment (c) Vehicle condition. Human errors for RTA include non-compliance to traffic rules and not using helmets and seatbelts, resulting in mortalities which can be mitigated by proper education, adherence and implementation of traffic rules. Objective: To analyze the mortality trends due to RTA by human errors in Chhattisgarh and India 2016-2022 Methodology: The RTA mortality statistics were retrieved from the Road accidents in India report published annually by the Ministry of Road Transport and Highways. A literature search was done in electronic databases like-PubMed, Google Scholar, other platforms using keywords- RTA mortality, Distracted driving Results: From 2016 to 2022, both Chhattisgarh and India experienced a steady rise in fatalities, peaking in 2022 due to overspeeding and helmet non-compliance. In 2019, India saw its peak in fatalities from alcohol-related driving, mobile use, and signal jumping, followed by a decline. Chhattisgarh experienced the highest signal jumping fatalities in 2017 and alcohol-relatedriving deaths in 2018 compared to other years Conclusion: The study reveals a decrease in road traffic accident fatalities caused by certain human errors post-2019, credited to the adoption of the Motor Vehicle Amendment Act 2019. Boosting public awareness and establishing robust surveillance measures are imperative in curbing fatalities caused by road traffic accidents (RTAs)

Assessing the impact of transitioning to 11th revision of the International Classification of Diseases (ICD-11) on comorbidity indices.

This study aimed to support the implementation of the 11th Revision of the International Classification of Diseases (ICD-11). We used common comorbidity indices as a case study for proactively assessing the impact of transitioning to ICD-11 for mortality and morbidity statistics (ICD-11-MMS) on real-world data analyses. Using the MIMIC IV database and a table of mappings between the clinical modification of previous versions of ICD and ICD-11-MMS, we assembled a population whose diagnosis can be represented in ICD-11-MMS. We assessed the impact of ICD version on cross-sectional analyses by comparing the populations' distribution of Charlson and Elixhauser comorbidity indices (CCI, ECI) across different ICD versions, along with the adjustment in comorbidity weighting. We found that ICD versioning could lead to (1) alterations in the population distribution and (2) changes in the weight that can be assigned to a comorbidity category in a reweighting initiative. In addition, this study allowed the creation of the corresponding ICD-11-MMS codes list for each component of the CCI and the ECI. In common with the implementations of previous versions of ICD, implementation of ICD-11-MMS potentially hinders comparability of comorbidity burden on health outcomes in research and clinical settings. Further research is essential to enhance ICD-11-MMS usability, while mitigating, after identification, its adverse effects on comparability of analyses.

Exploring the County Level Mortality Pattern Variations in Rural Areas of Iran (2006-2016).

Mortality rate in rural areas is a useful measure of the health of the population and the function of the health system, which varies over space and time. The objective of this research is to explore the spatial and temporal variations in the rural mortality rate in Iran at the county level in 2006, 2011, and 2016. data were gathered from the rural population and mortality statistics published by the Statistical Centre of Iran (SCI) and the National Organization for Civil Registration (NOCR). Global spatial patterns were assessed using the global Moran's I and local clusters through the local Moran's I. Spatial distribution of rural mortality rate shows that during the years under study the number of counties with a lower rate has increased. The counties with rate of less form continuous areas in the southwest, central and east regions. The excess risk map reveals significant variations in both value and extent. Also, the values of Moran's index increased from 0.1848 in 2006 to 0.4041 in 2016, which indicates the strengthening of the cluster spatial pattern of the overall rural mortality rate. Local patterns have undergone substantial changes over space and time. The findings indicate significant spatial and temporal variations in rural mortality rates in Iran. Policy-makers can use this information to plan and enhance healthcare infrastructure in specific counties. The findings serve for evaluating the effectiveness of health policies, enabling policy-makers to make informed decisions, allocate resources efficiently and design targeted interventions for improved public health outcomes.

Analisis Faktor Resiko Mortalitas Covid 19

Medical records are a source of data for hospitals that can be processed into statistics. Mortality statistics are included in health service statistics that are useful in efforts to maintain hospital quality. (Anggryani, 2021) Death or mortality is one of the three components of the demographic process that affect population structure. Thehigh mortality rate of the population in an area not only affects population growth, but is also a barometer of the high and low level of public health in the area. Mortality or death can happen to anyone, old, young, anytime and anywhere. Cases of death, especially in large numbers, are related to social, economic, customary, and environmental health problems. Death indicators are useful for monitoring the performance of central and local governments in improving community welfare. SARS-CoV-2 can affect anyone and cause different symptoms or severity, but individuals over the age of 60 with comorbidities such as diabetes, chronic respiratory disease, and cardiovascular disease are at higher risk of infection. The method in this article is Systematic review, where this article is done with a data set technique to review journals, literature searches, notes and reports related to articles. This systematic process of review is also used to collect data. Heart disease is significantly associated with an increased risk of death from COVID-19 patients.

Influence of Open Data Kit Application on Disease Surveillance and Notification

This project investigates the influence of Open Data Kit (ODK) on Disease Surveillance and Notification in Osun State, Nigeria. Descriptive research design was used and 90 respondents were engage through total enumeration sampling technique. Open Data Kit is an application that is used to capture data with designed template, allows the creation, distribution and filling of questionnaire on mobile phone or tablet running the Android operating system which has the following discovered influences on disease surveillance and notification: Facilitates adequate collection of morbidity and mortality data, enhances accurate processing of morbidity and mortality statistics, facilitates uniformity in data capturing, enables orderliness in data registration and contact tracing of contagious diseases, facilitates easy design of data collection tools. Descriptive survey research method was adopted for this study to evaluate the influence of open data kit application on disease surveillance and notification officer in Osun State. The findings show that a large proportion of DSNO and their assistance were strongly agreed and agreed that Open Data Kit is an application that is used to capture data with designed template, allows the creation, distribution and filling of questionnaire on mobile phone or tablet running the Android operating system and Real-time mapping of responses in Google Maps is possible with the use of Open Data Kit which is similar to what has been found by (Open data kit history, August 2019). There are positive influences of open data kit application on disease surveillance and notification in Osun State.

Territorial gaps on quality of causes of death statistics over the last forty years in Spain

BackgroundThe quality of the statistics on causes of death (CoD) does not present consolidated indicators in literature further than the coding group of ill-defined conditions of the International Classification of Diseases. Our objective was to assess the territorial quality of CoD by reliability of the official mortality statistics in Spain over the years 1980–2019.MethodsA descriptive epidemiological design of four decades (1980-, 1990-, 2000-, and 2010–2019) by region (18) and sex was implemented. The CoD cases, age-adjusted rates and ratios (to all-cause) were assigned by reliability to unspecific and ill-defined quality categories. The regional mortality rates were contrasted to the Spanish median by decade and sex by the Comparative Mortality Ratio (CMR) in a Bayesian perspective. Statistical significance was considered when the CMR did not contain the value 1 in the 95% credible intervals.ResultsUnspecific, ill-defined, and all-cause rates by region and sex decreased over 1980–2019, although they scored higher in men than in women. The ratio of ill-defined CoD decreased in both sexes over these decades, but was still prominent in 4 regions. CMR of ill-defined CoD in both sexes exceeded the Spanish median in 3 regions in all decades. In the last decade, women’s CMR significantly exceeded in 5 regions for ill-defined and in 6 regions for unspecific CoD, while men’s CMR exceeded in 4 and 2 of the 18 regions, respectively on quality categories.ConclusionsThe quality of mortality statistics of causes of death has increased over the 40 years in Spain in both sexes. Quality gaps still remain mostly in Southern regions. Authorities involved might consider to take action and upgrading regional and national death statistics, and developing a systematic medical post-grade training on death certification.