PREDICTIVE MODELING OF ASTHMA AND AIR POLLUTION FOR PROACTIVE URBAN PUBLIC HEALTH STRATEGIES
Keywords:
Asthma, Air pollution, Machine Learning, Predictive Modeling, Public Health Interventions, Supervised Learning Algorithms.Abstract
Asthma is a chronic respiratory disease impacting millions globally. It is well-documented that environmental factors, particularly air pollution, can worsen asthma symptoms, leading to higher rates of hospitalizations and mortality. Understanding the link between asthma and air pollution is essential for public health interventions and policy development. Traditionally, epidemiological studies have been used to establish this association by collecting data from asthma patients, monitoring air quality, and statistically analyzing the results to find correlations. Despite their usefulness, these studies often face limitations, such as long durations, data collection challenges, and the inability to capture real-time associations. Recently, machine learning algorithms have garnered attention in various fields, including pollution monitoring. Supervised learning algorithms, in particular, offer the potential to uncover valuable insights into the complex relationship between asthma and air pollution in urban areas. This can lead to more targeted and effective public health interventions. The aim of this research is to develop an accurate and reliable predictive model to inform public health strategies and policies. This model will support proactive decision-making, enabling healthcare providers to allocate resources more efficiently and allowing policymakers to implement targeted interventions to reduce air pollution and mitigate the impact of asthma on vulnerable urban populations.
Downloads
References
Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and
injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a
systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380:2224–60.
Brauer M, Amann M, Burnett RT, et al. Exposure assessment for estimation of the global
burden of disease attributable to outdoor air pollution. Environ Sci Technol. 2012; 46:652–60.
3. Perez L,Declercq C, Iniguez C, et al. Chronic burden of near-roadway traffic pollution in 10
European cities (APHEKOM network). Eur Respir J. 2013; 42:594–605. [PubMed: 23520318]
Wong GWK, Chow CM. Childhood asthma epidemiology: insights from comparative studies
of rural and urban populations. PediatrPulmonol. 2008; 43:107–16.
Robinson CL, Baumann LM, Romero K, et al. Effect of urbanisation on asthma, allergy and
airways inflammation in a developing country setting. Thorax. 2011; 66:1051–57.
Brunekreef B, Stewart AW, Anderson HR, Lai CKW, Strachan DP, Pearce N. Self-reported
truck traffic on the street of residence and symptoms of asthma and allergic disease: a global
relationship in ISAAC phase 3. Environ Health Perspect. 2009; 117:1791–98.
Friedman MS, Powell KE, Hutwagner L, Graham LM, Teague WG. Impact of changes in
transportation and commuting behaviors during the 1996 Summer Olympic Games in Atlanta
on air quality and childhood asthma. JAMA. 2001; 285:897–905.
O’Connor GT, Neas L, Vaughn B, et al. Acute respiratory health effects of air pollution on
children with asthma in US inner cities. J Allergy Clin Immunol. 2008; 121:1133–39.
Weinmayr G, Romeo E, De Sario M, Weiland SK, Forastiere F. Short-term effects of PM10
and NO2 on respiratory health among children with asthma or asthma-like symptoms: a
systematic review and meta-analysis. Environ Health Perspect. 2010; 118:449–57.
Health Effects Institute. Traffic-related air pollution: a critical review of the literature on
emissions, exposure, and health effects. Boston, MA: Health Effects Institute; 2010. Panel on
the Health Effects of Traffic-Related Air Pollution.
Dong G-H, Chen T, Liu M-M, et al. Gender differences and effect of air pollution on
asthma in children with and without allergic predisposition: northeast Chinese children health
study. PLoS One. 2011; 6:e22470.
Nishimura KK, Galanter JM, Roth LA, et al. Early-life air pollution and asthma risk in
minority children. The GALA II and SAGE II studies. Am J Respir Crit Care Med. 2013;
:309–18.
Jacquemin B, Sunyer J, Forsberg B, et al. Home outdoor NO2 and new-onset of selfreported asthma in adults. Epidemiology. 2009; 20:119–26.
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
