Hirvonen, Kalle; Wolle, Abdulazize; Laillou, Arnaud; Vinci, Vincenzo; Chitekwe, Stanley; Baye, Kaleab. Article in press
Hirvonen, Kalle; Wolle, Abdulazize; Laillou, Arnaud; Vinci, Vincenzo; Chitekwe, Stanley; Baye, Kaleab. Article in press
Girma, Meron; Hussein, Alemayehu; Norris, Tom; Genye, Tirsit; Tessema, Masresha; Bossuyt, Anne; van Zyl, Cornelia. Article in press
Norris, Tom; Girma, Meron; Genye, Tirsit; Hussen, Alemayehu; Pradeilles, Rebecca; Bekele, Zerihun; Van Zyl, Cornelia; Samuel, Aregash. Article in press
Girma, Meron; Hussein, Alemayehu; Baye, Kaleab; Samuel, Aregash; van Zyl, Cornelia; Tessema, Masresha; Chitekwe, Stanley; Laillou, Arnaud. Article in press
Tizazu, Woinshet; Laillou, Arnaud; Hirvonen, Kalle; Chitekwe, Stanley; Baye, Kaleab. Article in press
Negede, Betelhem M.; De Groote, Hugo; Minten, Bart; Voors, Maarten . Article in press
Ayalew, Hailemariam; Chamberlin, Jordan; Newman, Carol; Abay, Kibrom A.; Kosmowski, Frederic; Sida, Tesfaye . Article in press
Takeshima, Hiroyuki. Article in press
Aragie, Emerta A.. Article in press
Amare, Mulubrhan; Arndt, Channing; Guo, Zhe; Seymour, Greg. 2024
Tadesse, Elazar; Abdirahman, Ibrahim; Letta, Shiferaw; Kirby, Miles; Mamo, Tigist; Metaferia, Henok; Oranga, Beryl; Leight, Jessica. 2024
Aragie, Emerta; Balié, Jean. 2024
Anato, Anchamo; Headey, Derek; Hirvonen, Kalle; Pokharel, Ashish; Tessema, Masresha; Wu, Felicia; Baye, Kaleab. 2024
Dureti, Guyo Godana; Tabe-Ojong, Martin Paul JR. 2024
Methods
We use a large-scale farm household data from 3,969 households coupled with some expert insights on cluster farming in Ethiopia. Households in the study areas grow major staples such as maize, wheat, teff, malt barley, and sesame in four main regions of Ethiopia. We employ a double hurdle model to examine both the decision to participate and the extent to which households participate in cluster farming. By extent of participation, we refer to the amount of land and share of land farm households contribute to cluster farming. For robustness purposes, we also estimate the Tobit and Linear Probability Models.
Results
We show a positive association between farm size and cluster farming both at the extensive and intensive margins. This relationship turns negative for large amounts of land. This shows that cluster farming increases with farm size up to a threshold beyond which it declines. We also find suggestive evidence that participation rates are lower for small-scale farms, but also declines for large-scale farms. In addition, we show that access to information and network characteristics also matter in enabling cluster farming.
Conclusion
The findings of this study are relevant in the framework of plans to upscale the cluster-based development initiative in Ethiopia. Attention to landholding issues is key and may be an important area where policy action can be geared to boost cluster farming. Moreover, our results inform potential targeting plans that aim to increase the participation of small-scale farmers who are usually the intended targets of such programs.
Dzanku, F.M.; Liverpool-Tasie, Saweda Lenis Onipede; Reardon, Thomas. 2024
Reardon, Thomas; Liverpool-Tasie, Lenis Saweda O.; Belton, Ben; Dolislager, Michael; Minten, Bart; Popkin, Barry; Vos, Rob. 2024
Bekele, Rahel Deribe; Mekonnen, Dawit; Ringler, Claudia; Jeuland, Marc. 2024
Alderman, Harold; Gilligan, Daniel O.; Hidrobo, Melissa; Leight, Jessica; Mulford, Michael; Tambet, Heleene. 2024
Zerfu, Taddese Alemu; Tareke, Amare Abera; Genye, Tirsit; Bayable, Melaku; Muleta, Anbissa; Getu, Zekarias. 2024
Despite the implementation of numerous nutrition policies and interventions, many low- and middle-income countries (LMICs) continue to grapple with food and nutrition security issues, posing a significant threat to vulnerable populations [3,7]. Food insecurity is particularly evident among the poor, with women and children in rural areas being the most affected [1,2,8]. In 2022 alone, an alarming 230 million children under the age of five experienced some form of malnutrition. Specifically, 148 million (22.3%) were stunted, 45 million (6.8%) were wasted, and 37 million (5.6%) were overweight [1,9,10]. Stunting and wasting were more prevalent in rural areas, while overweight was somewhat more common in urban settings. In Ethiopia, the latest national survey showed that 37% of children under five were stunted, 11% were wasted, and 22% were underweight [11].
Abay, Kibrom A.; Berhane, Guush; Hoddinott, John F.; Tafere, Kibrom. Chicago, IL, USA 2023
Abay, Kibrom A.; Tiberti, Luca; Woldemichael, Andinet; Mezgebo, Tsega G.; Endale, Meron. 2023
Tabe-Ojong, Martin Paul Jr.; Dureti, Guyo Godana. 2023
Abate, Gashaw Tadesse; Bernard, Tanguy; Makhija, Simrin; Spielman, David J.. 2023
Bachewe, Fantu Nisrane; Headey, Derek D.; Minten, Bart. 2023
Abate, Gashaw Tadesse; de Brauw, Alan; Hirvonen, Kalle; Wolle, Abdulazize. 2023
Warner, James M.; Mann, Michael L.; Chamberlin, Jordan; Tizale, Chilot Y.. 2023
Lala, Jonathan; Regassa, Mekdim D.; Zhang, Ying; You, Liangzhi; Block, Paul. 2023
Bekele, Tesfaye Hailu; Covic, Namukolo; Alemayehu, Dawit; Trijsburg, Laura E.; Brouwer, Inge D.; Feskens, Edith J.; de Vries, Jeanne. 2023
Tamru, Seneshaw; Minten, Bart. 2023
Karyadi, Elvina; Reddy, J. C.; Dearden, Kirk A.; Purwanti, Tutut; Asri, Eriana; Roquero, Loreto B.; Juguan, Jocelyn A.; Sapitula-Evidente, Anjali; Alam, M. K.; Das, Susmita; Nair, Gopa K.; Srivastava, Anuj; Raut, Manoj K.. 2023
Minten, Bart; Habte, Yetimwork; Baye, Kaleab; Tamru, Seneshaw. 2023
Bekele, Tesfaye Hailu; de Vries, Jeanne; Feskens, Edith J.; de Weijer, Anneloes; Brouwer, Inge D.; Covic, Namukolo; Trijsburg, Laura. 2023
Timu, Anne G.; Gustafson, Christopher R.; Mieno, Taro. 2023
Bezabih, Afework Mulugeta; Kahsay, Znabu Hadush; Kahsay, Amaha; Bekele, Abate; Seid, Omer; Asfaw, Selemawit; Gebrearegay, Freweeini; Tadesse, Kidane; Bazzano, Alessandra N.; Jogo, Wellington; Covic, Namukolo; Busse, Heidi. 2023
Methods: A qualitative exploratory study was conducted in Tigray and Southern Nations, Nationalities, and Peoples (SNNP) of Ethiopia regional states in 2017. Ninety-four key informants were purposively selected from government agencies primarily in health and agriculture, from local (kebele) to national levels, and ranging from academic organizations, research institutions, and implementing partners. Researchers developed a semi-structured guide and conducted key informant interviews which were audiotaped, transcribed verbatim in local language, and translated to English. All transcriptions were imported into ATLAS.ti Version 7.5 software for coding and analysis. The data analysis followed an inductive approach. Transcriptions were coded line by line; then similar codes were grouped into categories. Subsequently, non-repetitive themes were identifed from the categories using thematic analysis methodology.
Results: The following themes were identifed as challenges that hinder joint planning, monitoring, and evaluation to link nutrition to agriculture: (1) limited capacity, (2) workload in home sector (agriculture or nutrition), (3) lack of attention to nutrition interventions, (4) inadequate supportive supervision, (5) problematic reporting system, and (6) weak technical coordinating committees.
Conclusions and recommendations: Gaps in human and technical resources, limited attention from diferent sectors, and absence of routine monitoring data hindered joint planning, monitoring, and evaluation activities for nutrition-sensitive agriculture in Ethiopia. Short-term and long-term training for experts and intensifcation of supportive supervision may address gaps in capacity. Future studies should address whether routine monitoring and surveillance in nutrition-sensitive multi-sectoral activities provides long-term improvement in outcomes.
Abera, Wuletawu; Tamene, Lulseged; Mekonnen, Dawit; Carmona, Natalia Estrada; Elias, Marlene; Joshi, Deepa; Aynekulu, Ermias. 2023
Bayissa, Yared; Dile, Yihun; Srinivasan, Raghavan; Ringler, Claudia; Lefore, Nicole; Worqlul, A. W.. 2023
Quisumbing, Agnes; Gerli, Beatrice; Faas, Simone; Heckert, Jessica; Malapit, Hazel; McCarron, Catherine; Meinzen-Dick, Ruth; Paz, Florencia. 2023
Buller, Ana Maria; Pichon, Marjorie; Hidrobo, Melissa; Mulford, Michael; Amare, Tseday; Sintayehu, Wastina; Tadesse, Seifu; Ranganathan, Meghna. 2023
Zerfu, Taddese Alemu; Abera, Amare; Duncan, Alan; Baltenweck, Isabelle; McNeill, Geraldine . 2023
Abate, Gashaw Tadesse; Baye, Kaleab; de Brauw, Alan; Hirvonen, Kalle; Wolle, Abdulazize. 2023
Sanghvi, Tina; Nguyen, Phuong Hong; Forissier, Thomas; Ghosh, Sebanti; Zafimanjaka, Maurice; Walissa, Tamirat; Mahmud, Zeba; Kim, Sunny S.. 2023
Bachewe, Fantu Nisrane; Minten, Bart. 2023
Bekele, Tesfaye Hailu; Trijsburg, Laura; Brouwer, Inge D.; de Vries, Jeanne HM.; Covic, Namukolo; Kennedy, Gina; Alemayehu, Dawit; Feskens, Edith JM. . 2023
Guo, Zhe; Chamberlin, Jordan; You, Liangzhi. 2023
Bachewe, Fantu Nisrane; Genye, Tirsit; Girma, Meron; Samuel, Aregash; Warner, James; van Zyl, Cornelia . 2023
Girmay, Aderajew Mekonnen; Weldetinsae, Abel; Mengesha, Sisay Derso; Adugna, Ermias Alemayehu; Alemu, Zinabu Assefa; Wagari, Bedasa; Serte, Melaku Gizaw; Awoke, Kaleab Sebsibe; Bedada, Tesfaye Legesse; Weldegebriel, Mesaye Getachew; Dinssa, Danial Abera; Alemayehu, Tsigereda Assefa; Kenea, Moa Abate; Tekulu, Kirubel Tesfaye; Gobena, Waktole; Fikresilassie, Getinet; Wube, Wendayehu; Melese, Abayew Wassie; Redwan, Ekram; Hoffmann, Vivian; Tessema, Masresha; Tollera, Getachew . 2023
Design A community-based cross-sectional study.
Setting Bishoftu town, Ethiopia, January–February 2022.
Participants A total of 1807 mothers with at least one child under 5 years were included. Sociodemographic and WASH variables were collected using a structured questionnaire. 378 drinking water samples were collected.
Outcome The response variable was diarrhoeal disease among children under 5 years.
Results The 2-week prevalence of diarrhoeal disease among children under 5 years was 14.8%. Illiteracy (adjusted OR 3.15; 95% CI 1.54 to 6.47), occupation (0.35; 0.20 to 0.62), mother’s age (1.63; 1.15 to 2.31), family size (2.38; 1.68 to 3.39), wealth index (5.91; 3.01 to 11.59), residence type (1.98; 1.35 to 2.90), sex of the child (1.62; 1.17 to 2.24), child’s age (3.52; 2.51 to 4.93), breastfeeding status (2.83; 1.74 to 4.59), food storage practice (3.49; 1.74 to 8.26), unimproved drinking water source (8.16; 1.69 to 39.46), limited drinking water service (4.68; 1.47 to 14.95), open defecation practice (5.17; 1.95 to 13.70), unimproved sanitation service (2.74; 1.60 to 4.67), limited sanitation service (1.71; 1.10 to 2.65), no hygiene service (3.43; 1.91 to 6.16) and limited hygiene service (2.13; 1.17 to 3.86) were significantly associated with diarrhoeal disease.
Conclusion In this study, diarrhoea among children is a significant health issue. Child’s age, drinking water service, residence type and hygiene service were the largest contributors with respect to the prevalence of diarrhoeal disease. This investigation provides information that could help to inform interventions to reduce childhood diarrhoea. The findings suggest that state authorities should initiate robust WASH strategies to achieve the Sustainable Development Goal 3 agenda.
Bekele, Tesfaye Hailu; van Rooijen, Maike; Gerdessen, Johanna C.; Brouwer, Inge D.; Feskens, Edith J.; Trijsburg, Laura; Alemayehu, Dawit;
de Vries, Jeanne HM
. 2023
To develop a healthy diet for Ethiopian women closely resembling their current diet and taking fasting periods into account while tracking the cost difference.
Design:
Linear goal programming models were built for three scenarios (non-fasting, continuous fasting and intermittent fasting). Each model minimised a function of deviations from nutrient reference values for eleven nutrients (protein, Ca, Fe, Zn, folate, and the vitamins A, B1, B2, B3, B6, and B12). The energy intake in optimised diets could only deviate 5 % from the current diet.
Settings:
Five regions are included in the urban and rural areas of Ethiopia.
Participants:
Two non-consecutive 24-h dietary recalls (24HDR) were collected from 494 Ethiopian women of reproductive age from November to December 2019.
Results:
Women’s mean energy intake was well above 2000 kcal across all socio-demographic subgroups. Compared to the current diet, the estimated intake of several food groups was considerably higher in the optimised modelled diets, that is, milk and dairy foods (396 v. 30 g/d), nuts and seeds (20 v. 1 g/d) and fruits (200 v. 7 g/d). Except for Ca and vitamin B12 intake in the continuous fasting diet, the proposed diets provide an adequate intake of the targeted micronutrients. The proposed diets had a maximum cost of 120 Ethiopian birrs ($3·5) per d, twice the current diet’s cost.
Conclusion:
The modelled diets may be feasible for women of reproductive age as they are close to their current diets and fulfil their energy and nutrient demands. However, the costs may be a barrier to implementation.
Dureti, Guyo Godana; Tabe-Ojong, Martin Paul Jr.; Owusu-Sekyere, Enoch. 2023
Aragie, Emerta; Balié, J.; Morales, C.; Pauw, Karl. 2023
Kim, Sunny S.; Sununtnasuk, Celeste; Berhane, Hanna Y.; Walissa, Tamirat Tafesse; Oumer, Abdulaziz Ali; Asrat, Yonas Taffesse; Sanghvi, Tina; Frongillo, Edward A.; Menon, Purnima. 2023
Adolescence is a critical period of physical and psychological development, especially for girls, because poor nutrition can affect their wellbeing as well as that of their children. We aimed to assess the feasibility and impact of a package of nutrition education interventions delivered through public primary schools on the diets of adolescent girls in Ethiopia.
Methods
In this non-masked, cluster-randomised, controlled trial, primary schools (clusters) in the Southern Nations, Nationalities, and People's Region and Somali region of Ethiopia were randomly allocated to the intervention group (nutrition information provided during flag ceremonies, classroom lessons, school club meetings, peer group mentoring, BMI measurement and counselling, and parent–teacher meetings) or the control group (standard academic curriculum on health and nutrition) by use of computer-generated pseudo-random numbers. Duration of the school-based interventions was 4 months, and the key messages were related to dietary diversity (eating a variety of foods), energy adequacy (eating breakfast and healthy snacks), and healthy food choices (avoiding junk foods). Adolescent girls were eligible for participation if aged 10–14 years and enrolled in grades 4–8 in a study school. Data were collected with two independent cross-sectional surveys: baseline before the start of implementation and endline 1·5 years later. The primary outcome of impact was dietary diversity score, defined as the number of food groups (out of ten) consumed over the previous 24 h using a list-based method, and minimum dietary diversity, defined as the proportion of girls who consumed foods from at least five of the ten food groups, in the intention-to-treat population. We also assessed intervention exposure as a measure of feasibility. We estimated intervention effects using linear regression models for mean differences at endline, with SEs clustered at the school level, and controlled for adolescent age, region, household food security, and wealth. The trial is registered with ClinicalTrials.Gov, NCT04121559, and is complete.
Findings
27 primary schools were randomly allocated to the intervention group and 27 to the control group. Between March 22 and April 29, 2021, 536 adolescent girls participated in the endline survey (270 in the intervention group and 266 in the control group), with median age of 13·3 years (IQR 12·1–14·0). At endline, the dietary diversity score was 5·37 (SD 1·66) food groups in the intervention group and 3·98 (1·43) food groups in the control group (adjusted mean difference 1·33, 95% CI 0·90–1·75, p<0·0001). Increased minimum dietary diversity was also associated with the intervention (182 [67%] of 270 in the intervention group vs 76 [29%] of 266 in the control group; adjusted odds ratio 5·37 [95% CI 3·04–9·50], p<0·0001). 256 (95%) of 270 adolescent girls in the intervention group were exposed to at least one of the five in-school intervention components. Interpretation Integrating nutrition interventions into primary schools in Ethiopia was feasible and increased dietary diversity incrementally among adolescent girls, but could be limited in changing other food choice behaviours, such as junk food consumption, based on nutrition education alone.
Yang, Meijian; Wang, Guiling; Sun, Ying; You, Liangzhi; Anyah, Richard . 2023
Abay, Kibrom A.; Tafere, Kibrom; Berhane, Guush; Chamberlin, Jordan; Abay, Mehari H. . 2023
Girmay, Aderajew Mekonnen; Mengesha, Sisay Derso; Dinssa, Daniel A.; Alemu, Zinabu Assefa; Wagari, Bedasa; Weldegebriel, Mesaye G.; Serte, Melaku G.; Alemayehu, Tsigereda A.; Kenea, Moa Abate; Weldetinsae, Abel; Teklu, Kirubel T.; Adugna, Ermias Alemayehu; Awoke, Kaleab S.; Bedada, Tesfaye L.; Gobena, Waktole; Fikreslassie, Getnet; Wube, Wendayehu; Hoffmann, Vivian; Tessema, Masresha; Tollera, Getachew . 2023
Access to safe drinking water, sanitation, and hygiene is a fundamental human right and essential to control infectious diseases. However, many countries, including Ethiopia, do not have adequate data to report on basic water, sanitation, and hygiene (WASH) services. Although contaminated drinking water spreads diseases like cholera, diarrhea, typhoid, and dysentery, studies on drinking water contamination risk levels in households are limited in Ethiopia. Therefore, closing this gap needs investigation.
Methods
A community-based cross-sectional study was conducted. A total of 5350 households were included. A systematic, simple random sampling technique was used to select the participants. The information was gathered through in-person interviews using a standardized questionnaire. Furthermore, 1070 drinking water samples were collected from household water storage.
Results
This investigation revealed that 9.8%, 83.9%, and 4.9% of households used limited, basic, and safely managed drinking water services, respectively. Besides, 10.2%, 15.7% and 59.3% of households used safely managed, basic and limited sanitation services, respectively. Yet, 10.6% and 4.2% of households used unimproved sanitation facilities and open defecation practices. Also, 40.5% and 19.4% of households used limited and basic hygiene services. On the other hand, 40.1% of households lacked functional handwashing facilities. In this study, 12.1%, 26.3%, and 42% of households’ drinking water samples were positive for Escherichia coli, fecal coliforms, and total coliforms, respectively. Also, 5.1% and 4.5% of households’ drinking water samples had very high and high contamination risk levels for E. coli, respectively. We found that 2.5% and 11.5% of households and water distributors had unacceptable fluoride concentrations, respectively.
Conclusion
The majority of households in Bishoftu town lack access to safely managed sanitation, drinking water, and basic hygiene services. Many households’ water samples had very high and high health risk levels. Hence, the government and partner organizations should implement water and sanitation safety plans.
Zerfu, Taddese Alemu; Tareke, Amare Abera; Biadgilign, Sibhatu . 2023
Despite remarkable gains over the past decade, mounting evidence suggests that Ethiopia’s rural health extension program (HEP) is facing serious implementation challenges. We investigated the current and potential future program design and implementation challenges of Ethiopia’s rural HEP based on the lived experiences of health extension workers (HEW) implementing the program at the grassroots level.
Methods
We employed a longitudinal qualitative exploration linked to a larger cluster-randomized trial (RCT) which was implemented in 282 villages randomly selected from 18 Kebeles of the Gedeo zone, southern Ethiopia. Data were collected using in-depth interviews with key informants, focus group discussion, and passive observation of program implementation. The data were analyzed manually using a thematic framework analysis approach. Themes and sub-themes were generated by condensing, summarizing, and synthesizing data collected in the field in the form of extended notes and field observation checklists.
Findings
Despite considerable gains in availing basic health services to the rural population, HEP seems to suffer serious design and implementation flaws that demand thoughtful and immediate adjustment. The design constraints span from the number and type of intervention packages to the means of dissemination (vehicle) as well as the target population emphasized. As such, some low-cost high-impact interventions that were strongly desired by the community were overlooked, while others were inappropriately packed. The means of distribution - female health extension workers trained with basic prevention skills, were lacking essential skills. They also had high burnout rates and with little engagement with men, were repeatedly mentioned flaws of the program demanding revitalization. Furthermore, the sheer structure of HEP precluded adult and adolescent men, non-reproductive women, and the elderly.
Conclusion
Despite significant gains over the last couple of months, Ethiopia’s rural HEP appears to have reached a tipping point that requires a comprehensive revamp of the program package, means of distribution, and target beneficiaries rather than the “usual” tweaks to reap maximum benefits.
Xie, Hua; Dile, Yihun Taddele; Ringler, Claudia; Srinivasan, Raghavan; Worqlul, Abeyou Wale . 2023
Uyar, Betül T.M.; Talsma, Elise F.; Herforth, Anna W.; Trijsburg, Laura E.; Vogliano, Chris; Pastori, Giulia; Bekele, Tesfaye Hailu; Huong, Le Thi; Brouwer, Inge D.. 2023
The Diet Quality Questionnaire (DQQ) is a rapid dietary assessment tool designed to enable feasible measuring and monitoring of diet quality at population level in the general public.
Objectives
To evaluate validity of the DQQ for collecting population-level food group consumption data required for calculating diet quality indicators by comparing them with a multipass 24-h dietary recall (24hR) as the reference.
Methods
Cross-sectional data were collected among female participants aged 15–49 y in Ethiopia (n = 488), 18–49 y in Vietnam (n = 200), and 19–69 y in Solomon Islands (n = 65) to compare DQQ and 24hR data in proportional differences in food group consumption prevalence, percentage of participants achieving Minimum Dietary Diversity for Women (MDD-W), percent agreement, percentage misreporting food group consumption, and diet quality scores of Food Group Diversity Score (FGDS), noncommunicable disease (NCD)-Protect, NCD-Risk, and the Global Dietary Recommendation (GDR) score using a nonparametric analysis.
Results
The mean (standard deviation) percentage point difference between DQQ and 24hR in population prevalence of food group consumption was 0.6 (0.7), 2.4 (2.0), and 2.5 (2.7) in Ethiopia, Vietnam, and Solomon Islands, respectively. Percent agreement of food group consumption data ranged from 88.6% (10.1) in Solomon Islands to 96.3% (4.9) in Ethiopia. There was no significant difference between DQQ and 24hR in population prevalence of achieving MDD-W except for Ethiopia (DQQ 6.1 percentage points higher, P < 0.01). Median (25th–75th percentiles) scores of FGDS, NCD-Protect, NCD-Risk, and GDR score were comparable between the tools.
Bakhtiar, M. Mehrab; Bastian, Gautam; Goldstein, Markus. 2022
Abay, Kibrom A.; Koru, Bethelhem; Chamberlin, Jordan; Berhane, Guush. 2022
Bekele, Rahel Deribe; Mekonnen, Dawit Kelemework. 2022
Aragie, Emerta; Thurlow, James. 2022
Sanghvi, Tina; Nguyen, Phuong Hong; Tharaney, Manisha; Ghosh, Sebanti; Escobar-Alegria, Jessica; Kim, Sunny S.. 2022
Abay, Kibrom A.; Abay, Mehari Hiluf; Amare, Mulubrhan; Berhane, Guush; Aynekulu, Ermias. 2022
Baye, Kaleab; Mekonnen, Dawit Kelemework; Choufani, Jowel; Yimam, Seid; Bryan, Elizabeth; Grifith, Jeffrey K.; Ringler, Claudia. 2022
Alderman, Harold; Gilligan, Daniel O.; Leight, Jessica; Mulford, Michael; Tambet, Heleene. 2022
Ranganathan, Meghna; Pichon, Marjorie; Hidrobo, Melissa; Tambet, Heleene; Sintayehu, Wastina; Tadesse, Seifu; Buller, Ana Maria. 2022
Tabe Ojong, Martin Paul JR; Hauser, Michael; Mausch, Kai. 2022
Leight, Jessica; Deyessa, Negussie; Sharma, Vandana. 2022
Constenla-Villoslada, Susana; Liu, Yanyan; Wen, Jiaming; Sun, Ying; Chonabayashi, Shun. 2022
Upton, Joanna; Constenla-Villoslada, Susana; Barrett, Christopher B.. 2022
Ratner, Blake D.; Larson, Anne M.; Barletti, Juan Pablo Sarmiento; ElDidi, Hagar; Catacutan, Delia; Meinzen-Dick, Ruth Suseela. 2022
Haile, Beliyou; Mekonnen, Dawit; Choufani, Jowel; Ringler, Claudia; Bryan, Elizabeth. 2022
Sanghvi, Tina; Nguyen, Phuong Hong; Ghosh, Sebanti; Zafimanjaka, Maurice; Kim, Sunny S.. 2022
Ignowski, Liz; Minten, Bart; Van Campenhout, Bjorn; Vandevelde, Senne. Oxford, UK 2022
Hirvonen, Kalle; Machado, Elia A.; Simons, Andrew M.; Taraz, Vis. 2022
Mekonnen, Dawit Kelemework; Choufani, Jowel; Bryan, Elizabeth; Haile, Beliyou; Ringler, Claudia. 2022
Adebe, Girum; McMillan, Margaret; Serafinelli, Michel. 2022
Sabates-Wheeler, Rachel; Hirvonen, Kalle; Lind, Jeremy; Hoddinott, John F.. 2022
Balana, Bedru; Mekonnen, Dawit Kelemework; Haile, Beliyou; Hagos, Fitsum; Yimam, Seid; Ringler, Claudia. 2022
Trübswasser, Ursula; Candel, Jeroen; Genye, Tirsit; Bossuyt, Anne; Holdsworth, Michelle; Baye, Kaleab; Talsma, Elise F.. 2022
Abay, Kibrom A.; Berhane, Guush; Hoddinott, John F.; Tafere, Kibrom. 2022
Mekonnen, Dawit Kelemework; Yimam, Seid; Arega, Tiruwork; Matheswaran, Karthikeyan; Schmitter, Petra M. V.. 2022
OBJECTIVES: The objective of this study is to investigate the role of different social ties on information exchanges among farmers when some farmers have the signal on how long to irrigate a field during an irrigation event from on-farm water management tools. The study explored the relative importance of being neighbors, friends, spatial proximity of farms, and project induced pairings.
METHODS: The study used a household survey data from all members of quaternary canals in the project that were in the technology, information, and control groups, as well as detailed network modules on how farmers with plots in the quaternary canal are associated with each other. A fixed effects econometric approach is used to control for time invariant household level and quaternary canal characteristics, while teasing out how the different social ties affect the information flow.
RESULTS AND CONCLUSIONS: The results show that being in purposeful friendships as indicated by knowing each other's decision on the use of agricultural inputs and its outcome, as well as being spatially proximate as indicated by having farm plots next to each other or usually passing by each other's plots play a significant role in determining whether information-recipient farmers received information from the technology-recipient farmers as expected. Being relatives or neighbors played a minor role to facilitate information exchanges on how long to irrigate. In addition, ad-hoc pairs of farmers between technology-recipient and information-recipient created through the project within the quaternary canal did not play a significant role above and beyond the existing social ties of friendships and spatial proximity.
SIGNIFICANCE: The findings have implications for effective ways of targeting in future scale up of such technologies as it informs that the roll out of such type of technologies and the extension services around it can better help technology diffusion and learning if they use friends and spatial proximates as anchors of information. That is, at times of over-subscription to such on-farm water management tools, information about the technology and the recommended duration of one irrigation turn can diffuse faster if the limited number of tools are distributed in such a way that friends and spatial proximates have access to a tool, rather than distributing the tools based on being neighbors or relatives.
Abate, Gashaw Tadesse; de Brauw, Alan; Gibson, John; Hirvonen, Kalle; Wolle, Abdulazize. 2022
Abay, Kibrom A.; Abay, Mehari Hiluf; Berhane, Guush; Chamberlin, Jordan. 2022
Abay, Kibrom A.; Abay, Mehari Hiluf; Berhane, Guush; Chamberlin, Jordan; Croke, Kevin; Tafere, Kibrom. 2022
the conflict have not yet been systematically quantified. We analyze high frequency phone surveys conducted by the World Bank, which included measures of access to basic ser vices, to estimate the impact of the first phase of the war (November 2020 to May 2021) on households in Tigray. After controlling for sample selection, a difference-in-differences approach is used to estimate causal effects of the conflict on population access to health services, food, and water and sanitation. Inverse probability weighting is used to adjust for sample attrition. The conflict has increased the share of respondents who report that they were unable to access needed health services by 35 percentage points (95% CI: 14–55 pp)
and medicine by 8 pp (95% CI:2–15 pp). It has also increased the share of households unable to purchase staple foods by 26 pp (95% CI:7–45 pp). The share of households unable to access water did not increase, although the percentage able to purchase soap declined by 17 pp (95% CI: 1–32 pp). We document significant heterogeneity across popula tion groups, with disproportionate effects on the poor, on rural populations, on households with undernourished children, and those living in communities without health facilities. These significant disruptions in access to basic services likely underestimate the true bur den of conflict in the affected population, given that the conflict has continued beyond the
survey period, and that worse-affected households may have higher rates of non-response. Documented spatial and household-level heterogeneity in the impact of the conflict may help guide rapid post-conflict responses.
Aragie, Emerta; Balié, Jean. 2021
Hirvonen, Kalle; Hoddinott, John F.. Washington, DC 2021
Minten, Bart; Tamru, Seneshaw; Reardon, Thomas. 2021
Hirvonen, Kalle; Bossuyt, Anne; Pigois, Remy. 2021
Sabates-Wheeler, Rachel; Lind, Jeremy; Hoddinott, John F.. 2021
Argaw, Alemayehu; Bouckaert, Kimberley P.; Wondafrash, Mekitie; Kolsteren, Patrick W.; Lachat, Carl; De Meulenaer, Bruno; Hanley-Cook, Giles; Huybregts, Lieven. 2021
Xie, Hua; You, Liangzhi; Dile, Yihun T.; Worqlul, Abeyou W.; Bizimana, Jean Claude. 2021
Abay, Kibrom A.; Bevis, Leah; Barrett, Christopher B.. 2021
Tamru, Seneshaw; Minten, Bart; Swinnen, Johan. 2021
Leight, Jessica; Deyessa, Negussie; Verani, Fabio; Tewolde, Samuel; Sharma, Vandana. 2021
Methods: Villages (n=64) were randomly allocated to control, or to receive UBL delivered to men, women or couples. Each cluster comprised 106 surveyed households, including 21 randomly selected indirect beneficiary households who were not included in the intervention. Primary and secondary IPV outcomes included women’s experience and men’s perpetration of past-year physical or sexual IPV 24 months postintervention. An intention-to-treat analysis was conducted comparing indirect beneficiaries to sampled households in control communities. The analysis includes 2516 households surveyed at baseline in 2014–2015 (1680 households in the control arm, 258 indirect beneficiary households in the couples’ arm, 287 indirect beneficiary households in the women’s arm and 291 indirect beneficiary households in the men’s arm). Follow-up data were available from 88% of baseline respondents and 86% of baseline spouses surveyed in 2017–2018, a total of 4379 individuals.
Results: Among indirect beneficiaries, there was no statistically significant intervention effect on women’s past-year experience of physical or sexual IPV, while men’s UBL significantly reduced reported perpetration of past-year sexual IPV (Adjusted Odds Ratio: 0.55; 95% CI 0.38 to 0.80, p=0.002). The intervention effects among indirect beneficiaries were statistically similar to those reported for the direct beneficiaries. In general, the hypothesis of equal effects cannot be rejected.
Conclusion: A gender-transformative intervention delivered to men was effective in reducing reported IPV even among indirect beneficiaries, suggesting that the programme had positive spillover effects in diffusing information and changing behaviours within the broader community.
Hirvonen, Kalle; de Brauw, Alan; Abate, Gashaw Tadesse. 2021
Delgado, Luciana; Schuster, Monica; Torero, Maximo. 2021
Basnet, Sulochana; Frongillo, Edward A.; Nguyen, Phuong Hong; Moore, Spencer; Arabi, Mandana. 2021
Leight, Jessica. 2021
Tesfaye, Meneyahel Z.; Balana, Bedru; Bizimana, Jean-Claude. 2021
Leight, Jessica; Deyessa, Negussie; Sharma, Vandana. 2021
Anissa, Banawe Plambou; Abate, Gashaw Tadesse; Bernard, Tanguy; Bulte, Erwin. 2021
Aragie, Emerta; Taffesse, Alemayehu Seyoum; Thurlow, James. 2021
Hirvonen, Kalle; Minten, Bart; Mohammed, Belay; Tamru, Seneshaw. 2021
Vandercasteelen, Joachim; Minten, Bart; Tamru, Seneshaw. 2021
Regassa, Mekdim D.; Abate, Gashaw Tadesse; Kubik, Zaneta. 2021
Kosmowski, Frederic; Chamberlin, Jordan; Ayalew, Hailemariam; Sida, Tesfaye; Abay, Kibrom A.; Craufurd, Peter. 2021
Bekele, Rahel Deribe; Mirzabaev, Alisher; Mekonnen, Dawit Kelemework. 2021
Ameye, Hannah; Bachewe, Fantu Nisrane; Minten, Bart. 2021
D’Haene, Eline; Vandevelde, Senne; Minten, Bart. 2021
Kim, Sunny S.; Nguyen, Phuong Hong; Tran, Lan Mai; Alayon, Silvia; Menon, Purnima; Frongillo, Edward A.. 2020
Social and behavior change communication interventions are integral to improving dietary and care practices, but evidence on the impact of the combination and intensity of these interventions in different contexts is scarce.
Objective
We examined the extent of and factors associated with intervention exposure: interpersonal communication (IPC) alone or with other interventions (i.e., mass media, community mobilization, or nutrition-sensitive agricultural activities); number of and factors associated with IPC contacts; and combinations of intervention components and number of contacts associated with infant and young child feeding (IYCF) practices.
Zhang, Ying; You, Liangzhi; Lee, Donghoon; Block, Paul J.. 2020
Yang, Meijian; Wang, Guiling; Ahmed, Kazi Farzan; Adugna, Berihun; Eggen, Michael; Atsbeha, Ezana; You, Liangzhi; Koo, Jawoo; Anagnostou, Emmanouil. 2020
Hoddinott, John F.; Mekasha, Tseday J.. 2020
Nguyen, Phuong Hong; Kim, Sunny S.; Tran, Lan Mai; Menon, Purnima; Frongillo, Edward A.. 2020
Mondal, Md. Hossain Alam; Ringler, Claudia. 2020
Bhutta, Zulfiqar A.; Akseer, Nadia; Keats, Emily C.; Vaivada, Tyler; Baker, Shawn; Horton, Susan E.; Katz, Joanne; Menon, Purnima; Piwoz, Ellen; Shekar, Meera; Victoria, Cesar; Black, Robert. 2020
Leight, Jessica; Deyessa, Negussie; Verani, Fabio; Tewolde, Samuel; Sharma, Vandana. 2020
Sharma, Vandana; Leight, Jessica; Verani, Fabio; Tewolde, Samuel; Deyessa, Negussie. 2020
Minten, Bart; Mohammed, Belay; Tamru, Seneshaw. 2020