INFECTIOUS DISEASES OF POVERTY 是一本开放获取、同行评审的期刊，出版主题领域和方法，解决与贫困传染病相关的基本公共卫生问题。这些包括病原体和载体生物学、诊断和检测、治疗和病例管理、流行病学和建模、人畜共患病宿主和动物宿主、控制策略和实施、新技术和应用的各个方面。还考虑了对卫生系统、生态健康、环境管理和创新技术的跨学科或多部门影响。

Infectious Diseases of Poverty is an open-access, peer-reviewed journal that addresses fundamental public health issues related to infectious diseases of poverty. The journal covers a wide range of topics, including pathogen and vector biology, diagnostics and testing, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and their implementation, as well as various aspects of new technologies and applications. It also considers the interdisciplinary or multi-sectoral impacts on health systems, ecological health, environmental management, and innovative technologies.

《Infectious Diseases of Poverty》是一本开放获取、同行评审的期刊，专注于与贫困相关的传染病的基本公共卫生问题。期刊涵盖的主题包括病原体和载体生物学、诊断和检测、治疗和病例管理、流行病学和建模、人畜共患病宿主及动物宿主、控制策略及其实施，以及新技术和应用的各个方面。此外，期刊还关注这些问题对卫生系统、生态健康、环境管理和创新技术的跨学科或多部门影响。

Infectious Diseases of Poverty

Substantial research is underway to develop next-generation interventions that address current malaria control challenges. As there is limited testing in their early development, it is difficult to predefine intervention properties such as efficacy that achieve target health goals, and therefore challenging to prioritize selection of novel candidate interventions. Here, we present a quantitative approach to guide intervention development using mathematical models of malaria dynamics coupled with machine learning. Our analysis identifies requirements of efficacy, coverage, and duration of effect for five novel malaria interventions to achieve targeted reductions in malaria prevalence.A mathematical model of malaria transmission dynamics is used to simulate deployment and predict potential impact of new malaria interventions by considering operational, health-system, population, and disease characteristics. Our method relies on consultation with product development stakeholders to define the putative space of novel intervention specifications. We couple the disease model with machine learning to search this multi-dimensional space and efficiently identify optimal intervention properties that achieve specified health goals.We apply our approach to five malaria interventions under development. Aiming for malaria prevalence reduction, we identify and quantify key determinants of intervention impact along with their minimal properties required to achieve the desired health goals. While coverage is generally identified as the largest driver of impact, higher efficacy, longer protection duration or multiple deployments per year are needed to increase prevalence reduction. We show that interventions on multiple parasite or vector targets, as well as combinations the new interventions with drug treatment, lead to significant burden reductions and lower efficacy or duration requirements.Our approach uses disease dynamic models and machine learning to support decision-making and resource investment, facilitating development of new malaria interventions. By evaluating the intervention capabilities in relation to the targeted health goal, our analysis allows prioritization of interventions and of their specifications from an early stage in development, and subsequent investments to be channeled cost-effectively towards impact maximization. This study highlights the role of mathematical models to support intervention development. Although we focus on five malaria interventions, the analysis is generalizable to other new malaria interventions.

Monica Golumbeanu

Guo-Jing Yang

Flavia Camponovo

Erin M. Stuckey

Nicholas Hamon

Mathias Mondy

Sarah Rees

Nakul Chitnis

Ewan Cameron

Melissa A. Penny

Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions

利用疾病动态数学模型和机器学习改进新型疟疾干预措施的开发

Tuberculosis (TB) poses a severe public health challenge in China and worldwide. This study evaluated the effects of age, period, and birth cohort on reported incidence trends of TB based on population and refined the characteristics of high-risk groups.
Aggregate data that reported pulmonary tuberculosis (PTB) cases from China Tuberculosis Management Information System (TBIMS) from 2006 to 2020 were used to analyze effect coefficients through the age–period–cohort (APC) model based on intrinsic estimator (IE) method, and converted them into relative risk (RR) to estimate trends.
A total of 14.82 million cases of PTB were reported in China from 2006 to 2020, showing a continuous downward trend. The reporting rate increased with age by age group, with 70–74 years old being 2–3 times higher than that in 20–24 years old. APC analysis model showed that age effects were bimodal in 20–24 years old [RR= 2.29, 95% confidence interval (CI): 1.73–3.03] and 70–74 years old (RR= 1.95, 95%CI:1.67–2.27), and lower than the overall average in the groups under 15 years old. Stratified results showed that the risk was higher for women under age 40 than men and higher for men over 40. The risk was higher in urban than in rural areas under 30 years old and slightly higher in rural than in urban between 30 and 64 years old. The risk for 15–34 years old was significantly higher in the east than in other regions. The period effects showed a decreasing trend, and the risk was higher in rural in recent years. Except for cohorts born in 1961–1965 and 2001–2005, where theRRincreased, the later the cohort was born, the lower the risk. The cohort 1926–1930 in eastern had the highest risk (RR= 3.49, 95%CI:2.44–4.98).
The reported incidence of PTB continued to decline in China from 2006 to 2020. The young (20–24 years old) and the elderly (70–74 years old) were equally at high risk. There were differences in the age, period and cohort effects on PTB incidence among gender, urban–rural and regions. Our findings better reflected the characteristics of high-risk populations, thus contributing to the development of timely and effective intervention strategies, and providing clues for etiological research.

Zhe Dong

Qi-Qi Wang

Shi-Cheng Yu

Fei Huang

Jian-Jun Liu

Hong-Yan Yao

Yan-Lin Zhao

Infect Dis Poverty

Age–period–cohort analysis of pulmonary tuberculosis reported incidence, China, 2006–2020

2006-2020年中国报告肺结核发病率的年龄-时期-队列分析

Abstract The human papillomavirus (HPV) vaccine is the first vaccine developed specifically targeting the prevention of cervical cancer. For more than 15 years, China has expedited a series of efforts on research and development of the domestically manufactured HPV vaccines, producing local population-based evidence, promoting free HPV vaccination from pilots, and launching action plans to tackle barriers in the scale-up of HPV vaccination. To further roll out the HPV vaccination program in China, several challenges should be addressed to support the steps forward. The availability of more locally manufactured HPV vaccines, pricing negotiation and local evidence supporting the efficacy of one-dose schedule would greatly alleviate the continued supply and financial constraints in China. Meanwhile, more attention should be paid to girls living in low-resource areas and males to ensure equal access to the HPV vaccination. Furthermore, linkage to secondary prevention and further real-world monitoring and evaluation are warranted to inform effective cervical cancer prevention strategies in the post-vaccine era. Graphical Abstract

Xue-Lian Zhao

Shang-Ying Hu

Jia-Wei Hu

Hong-Hao Wang

Tian-Meng Wen

Yu-Shu Feng

You-Lin Qiao

Fang-Hui Zhao

Yong Zhang

Tackling barriers to scale up human papillomavirus vaccination in China: progress and the way forward

应对扩大中国宫颈癌疫苗接种规模的障碍：进展与前进方向

Abstract Background Immunotherapy shows promise as a treatment option for various cancers. However, there is growing concern over potential complications from hepatitis B virus (HBV) reactivation after checkpoint blockade immunotherapy. Although most of the previous clinical trials on immune checkpoint inhibitors (ICIs) excluded patients with HBV, a few case reports and retrospective studies of HBV reactivation have been published. The aim of this study is to assess the risk of hepatitis B virus reactivation (HBVr) in patients receiving ICIs for advanced cancer. Methods English and Chinese language literature published prior to April 30, 2023, was searched in PubMed, EMBASE, Web of Science, Cochrane, SinoMed, CNKI and Wanfang Data for studies reporting HBVr rates in cancer patients treated with ICIs. A pooled risk estimate was calculated for HBVr rates with 95% confidence intervals ( CI ). Results Data from 34 studies including 7126 patients were retrieved and analyzed. The pooled HBVr rate in cancer patients treated with ICIs was 1.3% ( I 2 = 90.44%, 95% CI : 0.2–2.9%, P &lt; 0.001). Subgroup analysis revealed that patients diagnosed with hepatocellular carcinoma (HCC), HBV carriers, and patients from Asian regions or in developing countries have a higher rate of HBVr. Conclusions Our meta-analysis demonstrated a low risk of HBVr in patients treated with ICIs for advanced cancer. ICI treatment may be safely used in patients with existing HBV infection or chronic hepatitis B, accompanied by regular monitoring and appropriate antiviral prophylaxis if necessary. Graphical Abstract

Zhengzheng Xia

Jianyu Zhang

Wenjun Chen

Haiyan Zhou

Di Du

Kongcai Zhu

Hui Chen

Jun Meng

Jun Yang

Hepatitis B reactivation in cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis

癌症患者接受免疫检查点抑制剂后乙型肝炎再激活：一项系统评价和荟萃分析

David O'Callaghan

Infectious diseases of poverty

Human brucellosis: recent advances and future challenges.

人类布鲁氏菌病：近年进展与未来挑战。

Abstract Background Food-borne trematodiases (FBTs), mainly encompassing clonorchiasis, fascioliasis, fasciolopsiasis, opisthorchiasis, and paragonimiasis, is a neglected public health problem, particularly in the WHO South-East Asia and the Western Pacific regions. This study evaluates the global, regional, and national disease burden of FBTs from 1990 to 2021 and projects trends to 2030, underscore the need for targeted prevention and control. Methods Using the Global Burden of Disease 2021 database, the crude and the age-standardized prevalence rate (ASPR) and age-standardized prevalence disability-adjusted life years rate (ASDR) of FBTs at the global, regional and national level from 1990 to 2021 were described. The pivotal years of trend changes were identified using joinpoint regression analysis. The effects of age, period, cohort on FBTs prevalence and correlation with the sociodemographic index (SDI) was analyzed. Finally, the worldwide disability-adjusted life years (DALYs) for FBTs, projected up to 2030 using the Bayesian age-period-cohort model, were analyzed. Results In 2021, 44,466,329 FBTs cases [95% uncertainty interval (UI): 40,017,217, 50,034,921], and 998,028 DALYs [95% UI: 569,766, 1,638,112] were estimated across 17 countries. The Western Pacific region exhibited the highest ASPR and ASDR, with the values of 1649.26 (95% UI: 1461.95, 1881.64) and 36.54 (95% UI: 19.77, 64.16), respectively. From 1990 to 2021, Lao PDR, Thailand, and the Philippines showed the most substantial declines in FBTs, while Kazakhstan had the largest average annual percentage change in DALYs (− 6.60, 95% UI: − 7.10, − 6.10). High-middle and middle SDI countries exhibited higher burden, with ASDR values of 28.03 (95% UI: 15.41, 48.73) and 16.63 (95% UI: 9.32, 27.68), respectively. The disease burden was greater among males, peaking in the 50–59 age group. The projected ASDR in 2030 is 13.10 for males and 8.40 for females. Conclusions FBTs remain a public health threat, with the global ASDR projected to remain stable, showing only a slight decrease by 2030. Low-income countries face ambiguous mortality rates and underestimated disease burdens, highlighting the need for improved surveillance. To achieve the 2030 NTD goal, comprehensive surveillance and integrated strategies derived using a One Health approach should be prioritized to control FBTs effectively. Graphical Abstract

Lu Liu

Li-Dan Lu

Men-Bao Qian

Kun Yang

Feng Tan

Xiao-Nong Zhou

Global, regional and national disease burden of food-borne trematodiases: projections to 2030 based on the Global Burden of Disease Study 2021

全球、区域和国家食物源性吸虫病疾病负担：基于2021年全球疾病负担研究的2030年预测

Vector-borne parasitic infectious diseases associated with poverty (referred to as vb-pIDP), such as malaria, leishmaniasis, lymphatic filariasis, African trypanosomiasis, Chagas disease, and onchocerciasis, are highly prevalent in many regions around the world. This study aims to characterize the recent burdens of and changes in these vb-pIDP globally and provide a comprehensive and up-to-date analysis of geographical and temporal trends.

Yin-Shan Zhu

Zhi-Shan Sun

Jin-Xin Zheng

Shun-Xian Zhang

Jing-Xian Yin

Han-Qing Zhao

Hai-Mo Shen

Gad Baneth

Jun-Hu Chen

Kokouvi Kassegne

Prevalence and attributable health burdens of vector-borne parasitic infectious diseases of poverty, 1990–2021: findings from the Global Burden of Disease Study 2021

1990-2021年贫困相关媒介传播寄生虫传染病的发病率及其归因健康负担：2021年全球疾病负担研究结果

Abstract Background Toxoplasma gondii oocysts, excreted in cat feces, pose a significant health risk to humans through contaminated soil and water. Rapid and accurate detection of T. gondii in environmental samples is essential for public health protection. Methods We developed a novel, single-tube detection method that integrates loop-mediated isothermal amplification (LAMP), the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12b system, and lateral flow immunoassay strips for rapid, visual identification of T. gondii . This method targets the T. gondii B1 gene , initially amplifies it with LAMP, directed by a single-guide RNA (sgRNA). It then recognizes the amplified target gene and activates trans-cleavage, cutting nearby single-stranded DNA (ssDNA) reporters. Fluorescence detection was performed using a 6-Carboxyfluorescein (FAM)-12N-Black Hole Quencher-1 (BHQ1) reporter, while Fluorescein Isothiocyanate (FITC)-12N-Biotin enabled visual detection on lateral flow strips. The method was tested for its ability to detect various T. gondii genotypes and related parasites, assessing its specificity and broad-spectrum applicability. It was further applied to real-world environmental samples to evaluate its practicality. Results The LAMP-CRISPR/Cas12b method exhibited high specificity and broad-spectrum detection capability, successfully identifying nine T. gondii genotypes and distinguishing them from 11 other parasitic species. Sensitivity testing at both molecular (plasmid) and practical (oocyst) levels showed detection limits of 10 copies/μL and 0.1 oocyst, respectively. When applied to 112 environmental samples (soil, water, and cat feces), the method demonstrated 100% sensitivity, accurately reflecting known infection rates. Conclusions This LAMP-CRISPR/Cas12b single-tube method offers a robust, innovative approach for monitoring zoonotic T. gondii in environmental samples, with significant implications for public health surveillance. Graphical Abstract

Yao Liang

Shi-Chen Xie

Yi-Han Lv

Yuan-Hui He

Xiao-Nan Zheng

Wei Cong

Hany M. Elsheikha

Xing-Quan Zhu

A novel single-tube LAMP-CRISPR/Cas12b method for rapid and visual detection of zoonotic Toxoplasma gondii in the environment

一种新型单管LAMP-CRISPR/Cas12b方法用于环境中新发隐孢子虫的快速可视化检测

Abstract Background Despite consecutive decades of success in reducing malaria transmission, Ethiopia went off track towards its goal of malaria elimination by 2030, as outlined in the NMCP malaria strategy. Recent malaria outbreaks in Ethiopia are attributed to the emergence and spread of diagnostic and drug-resistant Plasmodium falciparum , increased insecticide resistance in major vectors and the spread of invasive Anopheles stephensi . The effects of the COVID-19 pandemic, environmental anomalies and internal conflicts have also potentially played a role in increasing malaria transmission. This study aimed to evaluate the contribution of environmental factors and An. stephensi to the spatiotemporal trends of recent malaria cases in Ethiopia. Methods Clinical malaria case data reported weekly between January 2013 and January 2023 were obtained from the Ethiopian Public Health Institute (EPHI), Addis Ababa. A negative binomial regression model was used to explain the variability and potential overdispersion in the weekly number of malaria cases reported across Ethiopian administrative zones. This model incorporated fixed effects for selected environmental factors and random effects to capture temporal trends, zone specific seasonal patterns, spatial trends at the zone level, and the presence of An. stephensi and its impact. Results Our negative binomial regression model highlighted 56% variability in the data and slightly more than half (55%) was due to environmental factors, while the remainder was captured by random effects. A significant nationwide decline in malaria risk was observed between 2013 and 2018, followed by a sharp increase in early 2022. Malaria risk was higher in western and northwestern zones of Ethiopia compared to other zones. Zone-specific seasonal patterns, not explained by environmental factors, were grouped into four clusters of seasonal behaviours. The presence of An. stephensi was not shown to have any significant impact on malaria risk. Conclusions Understanding the spatial and temporal drivers of malaria transmission and therefore identifying more appropriate malaria control strategies are key to the success of any malaria elimination and eradication programmes in Ethiopia. Our study found that approximately 50% of malaria risk variability could be explained by environmental, temporal, and spatial factors included in the analysis, while the remaining variation was unexplained and may stem from other factors not considered in this study. This highlights the need for a better understanding of underlying factors driving local malaria transmission and outbreaks, to better tailor regional programmatic responses. Graphical Abstract

Abdollah Jalilian

Galana Mamo Ayana

Temesgen Ashine

Elifaged Hailemeskel

Yehenew Asmamaw Ebstie

Eshetu Molla

Endashaw Esayas

Nigatu Negash

Abena Kochora

Muluken Assefa

Natnael Teferi

Daniel Teshome

Alison M. Reynolds

David Weetman

Anne L. Wilson

Birhanu Kenate

Martin J. Donnelly

Luigi Sedda

Endalamaw Gadisa

Waning success: a 2013–2022 spatial and temporal trend analysis of malaria in Ethiopia

成功减弱：2013-2022年埃塞俄比亚疟疾时空趋势分析

Abstract Background Reactive case detection (RACD) for malaria control has been found effective in low transmission settings, but its impact and cost-effectiveness in moderate-to-high transmission settings are unknown. We conducted an economic evaluation alongside an empirical trial of a modified RACD strategy (1,7-mRCTR) in three moderate-to-high malaria transmission districts in Tanzania. Methods The costs and cost savings associated with the intervention relative to passive case detection alone were estimated in the study sites of Kilwa, Kibiti, and Rufiji districts in Tanzania from 2019–2021. Empirical cost data were collected using household surveys. The incremental costs of the intervention were calculated from under a societal perspective. Costs are reported in 2022 US dollars. Trial data and malaria registers from health facilities were used to calculate the number of malaria cases detected. We simulated unobserved and distal health effects of the intervention to assess cost-effectiveness in terms of incremental cost-effectiveness ratios (ICERs). Propagated uncertainty was assessed via second-order Monte Carlo simulation, including bootstrapping of empirical data distributions. Incremental costs per disability-adjusted life year (DALY) averted were compared to a willingness-to-pay threshold based on estimated opportunity costs of healthcare spending in Tanzania. Results The programmatic cost of the 1,7-mRCTR intervention was 5327 United States Dollars (USD) per 1000 population. The combination of reactive and passive case detection in the intervention arm resulted in an additional 445 malaria cases detected per 1000 compared to passive detection alone, yielding an incremental cost per additional case detected of 12.0 USD. Based on modelling results, for every percentage point decline in malaria prevalence, the intervention averted 95.2 cases and 0.04 deaths per 1000 population. On average, the 1,7-mRCTR intervention averted 19.1 DALYs per 1000 population. Compared to passive malaria detection, the ICERs for the 1,7-mRCTR intervention were 7.3 USD per case averted, 16,884 USD per death averted, and 163 USD per DALY averted. Conclusions Our analysis demonstrates that the 1,7-mRCTR intervention appears to be cost-effective under a willingness-to-pay threshold of 417 USD per DALY averted, showing that modified RACD strategies can provide value for money in moderate-to-high transmission settings. Graphical Abstract

Radhika Pradip Tampi

Duoquan Wang

Salim Abdulla

Muhidin Kassim Mahende

Tegemeo Gavana

Hajirani M. Msuya

Augustine Kuwawenaruwa

Michael Mihayo

Felix Brown

Honorati Masanja

Wilbald Anthony

Katia Bruxvoort

Fadhila Kihwele

Godlove Chila

Wei Chang

Marcia Castro

Xiao Ning

Prosper P. Chaki

Yeromin P. Mlacha

Jessica Cohen

Nicolas A. Menzies

The 1,7-malaria reactive community-based testing and response (1,7-mRCTR) approach in Tanzania: a cost-effectiveness analysis

坦桑尼亚1,7-疟疾反应社区为基础的检测与响应(1,7-mRCTR)方法:成本效益分析

Abbreviation	Infect Dis Poverty
Journal Impact	4.76
Quartiles(Global)	TROPICAL MEDICINE(Q1)

ISSN	2049-9957, 2095-5162
h-index	61

Publication Information	Publisher: BioMed Central Ltd，Publishing cycle: ，Journal Type: journal，Open Access Journals: Yes
Basic data	Year of publication: 2012，Proportion of original research papers: 84.68%，Self Citation Rate:4.20%， Gold OA Rate: 100.00%
Journal Fees	$2680Details
Average review cycle	网友分享经验：13 Weeks

Infectious Diseases of Poverty

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