Therapeutic Intervention of COVID-19 by Natural Products: A Population-Specific Survey Directed Approach.

To date very few promising leads from natural products (NP) secondary metabolites with antiviral and immunomodulatory properties have been identified for promising/potential intervention for COVID-19. Using in-silico docking studies and genome based various molecular targets, and their in vitro anti-SARS CoV-2 activities against whole cell and/or selected protein targets, we select a few compounds of interest, which can be used as potential leads to counteract effects of uncontrolled innate immune responses, in particular those related to the cytokine storm. A critical factor for prevention and treatment of SARS-CoV-2 infection relates to factors independent of viral infection or host response. They include population-related variables such as concurrent comorbidities and genetic factors critically relevant to COVID-19 health disparities. We discuss population risk factors related to SARS-CoV-2. In addition, we focus on virulence related to glucose-6-phosphate dehydrogenase deficiency (G6PDd), the most common human enzymopathy. Review of data on the response of individuals and communities with high prevalence of G6PDd to NP, prompts us to propose the rationale for a population-specific management approach to rationalize design of therapeutic interventions of SARS-CoV-2 infection, based on use of NP. This strategy may lead to personalized approaches and improve disease-related outcomes.

Malaria in Burkina Faso (West Africa) during the twenty-first century.

Temperature and rainfall predicted for the twenty-first century by global coupled models as reported by IPCC, (2014a, and b) were obtained regionally for Burkina Faso and through the Paluclim project, 2011-2014. One of the goals of this project was to assess the upcoming evolution of malaria transmission dynamics. From an impact model on malaria risk linked to climate variability, temperature and rainfall indices were derived. Malaria transmission dynamics were then predicted using the derived temperature and rainfall for the twenty-first century. Similar to the historical evidence of rainfall being an important factor for regulating the seasonal density of malaria vectors, this study also reports a definitive link between low-frequency rainfall variability and malaria in the region under the influence of the Atlantic Multidecadal Oscillation (AMO). This finding can be used by local stakeholders involved with the geography-based population health planning. Moreover, the predicted increase in temperature during the twenty-first century suggests a reduction of larvae survival in Burkina Faso and thus the malaria risk. More generally, the temperature increase could become a new limiting factor for malaria transmission dynamics in the Sahel Region (as reported by Mordecai et al. (2013).

Time-series analysis of satellite-derived fine particulate matter pollution and asthma morbidity in Jackson, MS.

In order to examine associations between asthma morbidity and local ambient air pollution in an area with relatively low levels of pollution, we conducted a time-series analysis of asthma hospital admissions and fine particulate matter pollution (PM2.5) in and around Jackson, MS, for the period 2003 to 2011. Daily patient-level records were obtained from the Mississippi State Department of Health (MSDH) Asthma Surveillance System. Patient geolocations were aggregated into a grid with 0.1° × 0.1° resolution within the Jackson Metropolitan Statistical Area. Daily PM2.5 concentrations were estimated via machine-learning algorithms with remotely sensed aerosol optical depth and other associated parameters as inputs. Controlling for long-term temporal trends and meteorology, we estimated a 7.2% (95% confidence interval 1.7-13.1%) increase in daily all-age asthma emergency room admissions per 10 µg/m3 increase in the 3-day average of PM2.5 levels (current day and two prior days). Stratified analyses reveal significant associations between asthma and 3-day average PM2.5 for males and blacks. Our results contribute to the current epidemiologic evidence on the association between acute ambient air pollution exposure and asthma morbidity, even in an area characterized by relatively good air quality.

Assessment of arsenic contamination of groundwater and health problems in Bangladesh.

Excessive amounts of arsenic (As) in the groundwater in Bangladesh and neighboring states in India are a major public health problem. About 30% of the private wells in Bangladesh exhibit high concentrations of arsenic. Over half the country, 269 out of 464 administrative units, is affected. Similar problems exist in many other parts of the world, including the Unites States. This paper presents an assessment of the health hazards caused by arsenic contamination in the drinking water in Bangladesh. Four competing hypotheses, each addressing the sources, reaction mechanisms, pathways, and sinks of arsenic in groundwater, were analyzed in the context of the geologic history and land-use practices in the Bengal Basin. None of the hypotheses alone can explain the observed variability in arsenic concentration in time and space; each appears to have some validity on a local scale. Thus, it is likely that several biogeochemical processes are active among the region's various geologic environments, and that each contributes to the mobilization and release of arsenic. Additional research efforts will be needed to understand the relationships between underlying biogeochemical factors and the mechanisms for arsenic release in various geologic settings.

The impact of preventive screening resource distribution on geographic and population-based disparities in colorectal cancer in Mississippi.

BACKGROUND: The state of Mississippi has the highest colorectal cancer (CRC) mortality rate in the USA. The geographic distribution of CRC screening resources and geographic- and population-based CRC characteristics in Mississippi are investigated to reveal the geographic disparity in CRC screening. METHODS: The primary practice sites of licensed gastroenterologists and the addresses of licensed medical facilities offering on-site colonoscopies were verified via telephone surveys, then these CRC screening resource data were geocoded and analyzed using Geographic Information Systems. Correlation analyses were performed to detect the strength of associations between CRC screening resources, CRC screening behavior and CRC outcome data. RESULTS: Age-adjusted colorectal cancer incidence rates, mortality rates, mortality-to-incidence ratios, and self-reported endoscopic screening rates from the years 2006 through 2010 were significantly different for Black and White Mississippians; Blacks fared worse than Whites in all categories throughout all nine Public Health Districts. CRC screening rates were negatively correlated with CRC incidence rates and CRC mortality rates. The availability of gastroenterologists varied tremendously throughout the state; regions with the poorest CRC outcomes tended to be underserved by gastroenterologists. CONCLUSIONS: Significant population-based and geographic disparities in CRC screening behaviors and CRC outcomes exist in Mississippi. The effects of CRC screening resources are related to CRC screening behaviors and outcomes at a regional level, whereas at the county level, socioeconomic factors are more strongly associated with CRC outcomes. Thus, effective control of CRC in rural states with high poverty levels requires both adequate preventive CRC screening capacity and a strategy to address fundamental causes of health care disparities.

Breast cancer and environmental risks: where is the link?

Environmental factors may play an important role in the etiology of female breast cancer. This paper reviews existing evidence to compare and analyze environmental agents in relation to breast cancer. The authors have reviewed multiple studies focusing on xenoestrogens, organochlorines, polychlorinated biphenyls, and other environmental agents, and the results are cited. Current use of oral contraceptives and prolonged use of hormone replacement therapy moderately increase risk. Evidence regarding organochlorine exposure and breast cancer risk is mixed. Atrazine is not associated with breast cancer risk, but dieldrin and lindane are. The effects of polychlorinated biphenyls vary according to specific congeners. An observational study has linked benzene to breast cancer, but another case control study has refuted the association. Risk of breast cancer with smoking is strong in families with a history of breast cancer, ovarian cancer, or both. Studies have shown a positive association of breast cancer with heterocyclic amines in women who eat well-done meat. Thus, many environmental factors have been significantly associated with breast cancer. Differing distribution of socio-demographic factors, including race/ethnicity, parity, and, possibly, nutritional status, may explain some of the inconsistencies across studies. Further research is needed to verify associations.

Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters.

The spread of dengue fever depends mainly on the availability of favourable breeding sites for its mosquito vectors around human dwellings. To investigate if the various factors influencing breeding habitats can be mapped from space, dengue indices, such as the container index, the house index and the Breteau index, were calculated from Ministry of Public health data collected three times annually in Phitsanulok, Thailand between 2009 and 2011. The most influential factors were found to be temperature, humidity, rainfall, population density, elevation and land cover. Models were worked out using parameters mostly derived from freely available satellite images and fuzzy logic software with parameter synchronisation and a predication algorithm based on data mining and the Decision Tree method. The models developed were found to be sufficiently flexible to accommodate additional parameters and sampling data that might improve prediction of favourable breeding hotspots. The algorithm applied can not only be used for the prediction of near real-time scenarios with respect to dengue, but can also be applied for monitoring other diseases influenced by environmental and climatic factors. The multi-criteria model presented is a cost-effective way of identifying outbreak hotspots and early warning systems lend themselves for development based on this strategy. The proposed approach demonstrates the successful utilisation of remotely sensed images to map mosquito breeding habitats.

Estimating the global abundance of ground level presence of particulate matter (PM2.5).

With the increasing awareness of the health impacts of particulate matter, there is a growing need to comprehend the spatial and temporal variations of the global abundance of ground level airborne particulate matter with a diameter of 2.5 microns or less (PM2.5). Here we use a suite of remote sensing and meteorological data products together with ground-based observations of particulate matter from 8,329 measurement sites in 55 countries taken 1997-2014 to train a machine-learning algorithm to estimate the daily distributions of PM2.5 from 1997 to the present. In this first paper of a series, we present the methodology and global average results from this period and demonstrate that the new PM2.5 data product can reliably represent global observations of PM2.5 for epidemiological studies.

GeoMedStat: an integrated spatial surveillance system to track air pollution and associated healthcare events.

Air pollutants, such as particulate matter with a diameter ≤2.5 microns (PM2.5) and ozone (O3), are known to exacerbate asthma and other respiratory diseases. An integrated surveillance system that tracks such air pollutants and associated disease incidence can assist in risk assessment, healthcare preparedness and public awareness. However, the implementation of such an integrated environmental health surveillance system is a challenge due to the disparate sources of many types of data and the implementation becomes even more complicated for a spatial and real-time system due to lack of standardised technological components and data incompatibility. In addition, accessing and utilising health data that are considered as Protected Health Information (PHI) require maintaining stringent protocols, which have to be supported by the system. This paper aims to illustrate the development of a spatial surveillance system (GeoMedStat) that is capable of tracking daily environmental pollutants along with both daily and historical patient encounter data. It utilises satellite data and the groundmonitor data from the US National Aeronautics and Space Administration (NASA) and the US Environemental Protection Agenecy (EPA), rspectively as inputs estimating air pollutants and is linked to hospital information systems for accessing chief complaints and disease classification codes. The components, developmental methods, functionality of GeoMedStat and its use as a real-time environmental health surveillance system for asthma and other respiratory syndromes in connection with with PM2.5 and ozone are described. It is expected that the framework presented will serve as an example to others developing real-time spatial surveillance systems for pollutants and hospital visits.

Breast cancer incidence and exposure to environmental chemicals in 82 counties in Mississippi.

OBJECTIVE: Breast cancer is a major public health problem in the United States and in most industrialized countries. Environmental exposure to several chemicals has been implicated in the cause of breast cancer. However, data are not consistent about the role of the environment in breast cancer incidence. To assess environmental risks for breast cancer, patterns of breast cancer incidence in relation to environmental chemicals in Mississippi counties were mapped. METHODS: This article presents an analysis of age-adjusted incidence rates of female breast cancer and environmental chemical emissions by county in the state of Mississippi. The incidence data were obtained from the State Department of Health, and emissions data sources included the U.S. Environmental Protection Agency's Air-Data and Toxics Release Inventory Program. RESULTS: Counties having a significantly higher incidence of breast cancer compared with the state's rate were identified. Also identified were counties with higher levels of chemical emissions. The incidence of breast cancer in 1998 was significantly associated with the amount of ammonia (r = 0.268, P = 0.015), minimum emissions (r = 0.233, P = 0.035), and maximum emissions (r = 0.237, P = 0.032) of the facilities in the county. A linear dose-response relationship was observed between increased amounts of chemical emissions and breast cancer incidence. CONCLUSIONS: This study found a significant link between breast cancer incidence and maximum emissions of environmental chemicals. However, further research using individual-level data is needed.

Utilizing Geographic Information Systems in community assessment and nursing research.

Application of Geographic Information Systems (GIS) in health sciences is relatively new, but it appears to be expanding faster than any other areas of GIS application. Although health scientists have long been using geographic information conceptually, the current availability of user-friendly GIS tools has caused a rapid endorsement of GIS in community health research. Locations of disease incidence, surrounding environments, health care facilities, geographic boundaries of the communities, and other essential community infrastructures have always been essential components of epidemiological and health care studies. This article provides an example of the effective use of GIS in a community assessment project. The purpose of this project was to survey the households in Hinds County, Mississippi, to assess community health status and the under-utilization of health care services. Ultimately, the assessment will be used to positively influence health outcomes within defined geographic communities. Community assessment was accomplished using extensive face-to-face surveys coupled with GIS technology to optimize the process and to evaluate the results.